{
  "model_name": "theblackcat102/pythia-1b-deduped-sft",
  "date": "2023-03-01T22:16:13.869034",
  "args": {
    "device": "cuda",
    "device_index": 0,
    "model_name": "theblackcat102/pythia-1b-deduped-sft",
    "mode": "v2",
    "prompts": "data/en_100_text.jsonl",
    "report": null,
    "seed": 42,
    "verbose": false,
    "n": null,
    "num_samples": 2,
    "config": "config/default.json"
  },
  "prompts": [
    {
      "prompt": "How can I find the best 401k plan for my needs?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I hope this isn't just asking how it's done so I'm not being too negative. But when looking at things like what type of account they want and their age range there is an easy way that has been used before:\n\nYour job-related accounts - if your goal was retirement you would probably have chosen a Roth IRA which may only provide one level. If so, then look into one of these: https://www.irs.gov/accounts/retirement/. These offer different options based upon whether or not you wanted something similar in income growth potential (growth in aftertax wages) with no risk profile. You",
            "Best way to know what options exist in your area is checking several databases including:\n"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The best way to find the best 401k plan for your needs is to research the different options available.",
            "The best way to find the best 401k plan for your needs is to research the different options available to you."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The best way to find the best 401k plan for your needs is to do your research.",
            "You can use the [FAQ on 401k plans](_URL_0_) to find the best plan for your needs."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "You can use a variety of tools to help you find the best 401k plan for your needs."
          ]
        }
      ]
    },
    {
      "prompt": "How to protect my eyes when I have to stare at my computer screen for longer than 10 hours every day?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Do not let your eyes get dryer while using it.",
            "The problem is that your eyes are not good enough to look through such screens."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's not good to stare at your computer screen for longer than 10 hours.",
            "It's not a good idea to stare at your computer screen for too long."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not that you have to stare at your computer screen for longer than 10 hours every day, it's that you have to stare at your computer screen for longer than 10 hours every day because you have to stare at your computer screen for longer than 10 hours every day.",
            "It's not just about protecting your eyes."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["You should be able to do this without any problem."]
        }
      ]
    },
    {
      "prompt": "What differences are there between ChatGPT and Instructional GPT?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "In general their architectures work in opposite directions. \n\nInstructional GPPs like this do a lot more with fine-grained information than big learner models such as CNNs or RNNs for example. These can handle much larger amounts of text (think how many sentences we have in our memory after learning one letter) but they also tend to give us too much detail and require too much effort to analyze. A chatbot that is capable of understanding all nuances of text might be better at parsing the subtleties here without needing deep contextual structure analysis training data",
            "In short...\nI believe it's based around an ML classification technique rather than regression / model choice."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The main difference is that ChatGPT is a language model, while Instructional GPT is a machine learning model.",
            "The main difference is that ChatGPT is a language model, while Instructional GPT is a language model trained on a large corpus."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "There are a few differences.",
            "I think you're misunderstanding the difference between ChatGPT and Instructional GPT."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The main difference is that ChatGPT is a chatbot, while Instructional GPT is a human."
          ]
        }
      ]
    },
    {
      "prompt": "When I buy a new TV, what specifications should I pay close attention to and what can I ignore?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "A good indicator is looking at its price: If it costs $500 but the retailer is charging only for accessories like cable boxes (not needed), then most people would expect that to be a good deal.",
            "Some people prefer buying cheaper quality than brands they like."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure what you mean by \"large corpus of data.\"",
            "You should pay close attention to the TV."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You should pay close attention to the TV's specifications.",
            "I'm not sure what you mean by \"large corpus of data\".  If you mean a large corpus of data, then you should pay close attention to the details of the TV."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm not sure what you mean by \"large corpus of data\".  I'm not sure what you mean by \"large corpus of data\".  I'm not sure what you mean by \"large corpus of data\".  I'm not sure what you mean by \"large corpus of data\".  I'm not sure what you mean by \"large corpus of data\".  I'm not sure what you mean by \"large corpus of data\".  I'm not sure what you mean by \"large corpus of data\".  I'm not sure what you mean by \"large corpus of data\".  I'm not sure what you mean by"
          ]
        }
      ]
    },
    {
      "prompt": "What isbthe best programing language for 2023",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "If that's not what you're looking for: Here are some resources related to programming languages used in 2025 and beyond. As we have reached an era where software needs to communicate with high-latency networks around 100mbps (which was unimaginable ten years ago), developers need tools and technologies like open source projects designed specifically with this future in mind. \n\nI'm currently working at one such project; I can't give specific recommendations but hopefully these links might provide further suggestions.\n\n* [_Open Assistants Handbook: A Guide To Building Software Using Programming Languages_](_URL_0_) by Peter Van",
            "It depends. You may need some research or experience with statistical models and machine learning"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure what you mean by \"2023\".",
            "I'm not sure what you mean by \"2023\"."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure what you mean by \"2023\" but I can answer your question in a way that will be useful to you.",
            "I'm not sure what you mean by \"best programing language\" but I can give you some advice on how to write a program in a language you don't know."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm not sure what you mean by \"2023\" but I can tell you what I know about programming languages."
          ]
        }
      ]
    },
    {
      "prompt": "Write me an outline about the metaphorical use of Time in the Great Gatsby",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "First off we have time. The narrator wants to know if Nick is dead or alive because he hasn't seen any evidence that Fate has put him there and he wonders what would happen were it not true (the book's main themes). \n\nTime is like a box with all different compartments; each compartment being something specific. For example, when writing a history class they teach students how ancient Rome was ruled while in this \"old\" period I think historians need to understand the current events happening around them so one can better explain what is going through their head while writing - even though modern times are different from what they experienced. This gives",
            "Aside from his other responsibilities that include running all the servers (and any sub-servers for which he was responsible), Nick also had time spent making the movie \"Gatsby\" after his wife died."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The Great Gatsby is a novel by F. Scott Fitzgerald, published in 1925. It is a story about a young man named Jay Gatsby, who is in love with Daisy Buchanan, a wealthy heiress. The novel is set in the 1920s and tells the story of Jay Gatsby's relationship with Daisy Buchanan.",
            "The Great Gatsby is a novel by F. Scott Fitzgerald, published in 1925. It is a story about a young man named Jay Gatsby, who is in love with Daisy Buchanan, a beautiful young woman. The novel is set in the 1920s, and tells the story of Jay Gatsby's relationship with Daisy, and how he falls in love."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The time in the novel is a metaphor for the time in the relationship between the characters.",
            "The metaphorical use of time in the novel is a metaphor for the way time is experienced by the characters. The novel is set in the 1920s, and the characters are experiencing the 1920s as a time of change and uncertainty. The novel is also set in a time of the Great Depression, and the characters are experiencing the Great Depression as a time of change and uncertainty. The novel is also set in a time of the Great Depression, and the characters are experiencing the Great Depression as a time of change and uncertainty. The novel is also set in a time of the Great Depression, and the characters are experiencing the Great Depression as a"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The metaphorical use of time in the novel is a metaphor for the way time is experienced by the characters."
          ]
        }
      ]
    },
    {
      "prompt": "When did the nuclear disaster at Chernobyl happen?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "This is from an episode _URL_1_, this episode has been watched 4.5 million times in total. This isn't exactly ELI5 material, but it can give some background for your question.",
            "Shortly after the accident it is estimated that around 25,000 died in what became known as Chernobyl."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["It was a nuclear power plant.", "It happened in 1986."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's a pretty big deal.",
            "It's a bit of a long story, but I'll try to explain it in a way that's easy to understand."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's not a nuclear disaster, it's a radiation leak."]
        }
      ]
    },
    {
      "prompt": "How can I promote an app that I have built? it currently has 0 users and I have no friends or family to show it to",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Do people trust me because I'm helping someone build their own product?",
            "It doesn't matter what app does for your friend, but if he could be in some danger because it is free then don't advertise with his information."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "You can promote your app by posting it to the App Store.",
            "You should be able to show your app to people."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You should be showing your app to people who are interested in it.",
            "You should make it easy for people to find it."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "You should be able to show your app to people who are interested in it."
          ]
        }
      ]
    },
    {
      "prompt": "What is the syntax for each of pythons major \"ideas\", ie. functions, variables, classes, loops, imports, etc",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here's my code so far:\nfrom typing import List\n\nclass QuestionAnswers(_object):  # Warning: this class expects an object that inherits from `_object` with metaclass `type`. This isn't the case when using the built-in type name PyFrame._PyFrameBase (see below). Calling any arbitrary method or function on it results in failure and raised ValueError exceptions if passed None as value. Passed anything raises ImportWarning exception(e) #Warning: this function calls module.__name__() directly instead of callable wrapper. So please use correct version rather than this one",
            "Here's some code that displays `y` in your terminal\n\nprint('This python program defines several important concepts such as maths and number theory.')"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is an example:\n\n```python\nimport numpy as np\nimport pandas as pd\n\ndef f(x):\n    return x * x\n\ndef g(x):\n    return x * x\n\ndef h(x):\n    return x * x\n\ndef i(x):\n    return x * x\n```",
            "Here is an example of a function\n\ndef f(x):\n    return x * x\n\n#Warning: this code generation is experimental. Please inspect the code for any bugs before executing."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You can use the syntax for python classes, functions, variables, etc. in the following way:\n\nclass MyClass:\n    def __init__(self):\n        self.name = \"MyClass\"\n        self.do_stuff()\n\n# or\n\nclass MyClass:\n    def __init__(self):\n        self.name = \"MyClass\"\n        self.do_stuff()\n\n# or\n\nclass MyClass:\n    def __init__(self):\n        self.name = \"MyClass\"\n        self.do_stuff()\n\n# or",
            "I'm not sure what you mean by \"large corpus of data\"."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a Python function to get the first 10 elements of a list\n\ndef get_first_ten_elements(list):\n    \"\"\"\n    Returns the first ten elements of a list.\n    \"\"\"\n    return [x for x in list if x[0] <= 10]\n\n#Below is an example usage:\n\nimport numpy as np\n\ndef get_first_ten_elements(list):\n    \"\"\"\n    Returns the first ten elements of a list.\n    \"\"\"\n    return [x for x in list if x[0] <= 10]\n\n# Enter the"
          ]
        }
      ]
    },
    {
      "prompt": "What were the most important events in the year 1969?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "There's more than one event that could be considered pivotal.",
            "This might be easier with a larger body of work."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The most important events in the year 1969 were the events that led to the end of the Vietnam War, the death of Martin Luther King, Jr., the election of Richard Nixon, the resignation of Richard Nixon, the election of George McGovern, the death of Martin Luther King, Jr., the death of Martin Luther King, Jr., the death of Martin Luther King, Jr., the death of Martin Luther King, Jr., the death of Martin Luther King, Jr., the death of Martin Luther King, Jr., the death of Martin Luther King, Jr., the death of Martin Luther King, Jr., the death of Martin Luther King,",
            "I'm not sure I can help you with this."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm not sure I can help you with this."]
        }
      ]
    },
    {
      "prompt": "This passage is from a poor quality machine extraction of text from an old book. Please extract the coherent English text and phrases from it and rewrite them with proper punctuation in your best attempt at a coherent message:\n\n\"numbercorresponding to this, and take the multiplier opposite toit, and multiply the full pressure of the steam per squareinch, as it enters the cylinder, by it. TABLE OF MULTIPLIERS BY WHICH TO FIND THE MEAN PRESSURE OFSTEAM AT VARIOUS POINTS OF CUT-OFF. Expansion. Multiplier. Expansion. Multiplier. Expansion. Multiplier. 1.0 1.000 3.4 .654 5.8 .479 1.1 .995 3.5 .644 5.9 .474 1.2 .985 3.6 .634 6. .470 1.3 .971 3.7 .624 6.1 .466 1.4 .955 3.8 .615 6.2 .462 1.5 .937 3.9 .605 6.3 .458 1.6 .919 4. .597 6.4 .454 1.7 .900 4.1 .588 6.5 .450 1.8 .882 4.2 .580 6.6 .446 1.9 .864 4.3 .572 6.7 .442 2. .847 4.4 .564 6.8 .438 2.1 .830 4.5 .556 6.9 .434 2.2 .813 4.6 .549 7. .430 2.3 .797 4.7 .542 7.1 .427 2.4 .781 4.8 .535 7.2 .423 2.5 .766 4.9 .528 7.3 .420 2.6 .752 5. .522 7.4 .417 2.7 .738 5.1 .516 7.5 .414 2.8 .725 5.2 .510 7.6 .411 2.9 .712 5.3 .504 7.7 .408 3. .700 5.4 .499 7.8 .405 3.1 .688 5.5 .494 7.9 .402 8.2 .676 5.6 .489 8. .399 3.3 .665 5.7 .484 52 HAND-BOOK OF LAND AND MARINE ENGINES.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Explain how these values were derived for example table c or d?",
            "Here we have some sentences that appear to be completely unmeaningful or incoherent and contain many words which may not even exist if they were properly placed before the clause; for example\n\n >  In addition, it appears that other factors could account also for such wide variation observed, e.g., it would seem likely that when the coal was being burnt there [in India] water containing more heat came into contact than air had, thus resulting in much greater combustion efficiency - hence increased energy output.\u201d"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "\"\n\nHere is the result:\n\n\"numbercorresponding to this, and take the multiplier opposite toit, and multiply the full pressure of the steam per squareinch, as it enters the cylinder, by it.\"",
            "This passage is from a poor quality machine extraction of text"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "This passage is from a poor quality machine extraction of text from an old book. Please extract the coherent English text and phrases from it and rewrite them with proper punctuation in your best attempt at a coherent message:\n\n\"numbercorresponding to this, and take the multiplier opposite toit, and multiply the full pressure of the steam per squareinch, as it enters the cylinder, by it. TABLE OF MULTIPLIERS BY WHICH TO FIND THE MEAN PRESSURE OFSTEAM AT VARIOUS POINTS OF CUT-OFF. Expansion. Multiplier. Expansion. Multiplier.",
            "\"\n\nYou can see that the passage is not very coherent, but it is not a problem. You can rewrite it in a more coherent way, but it will be a lot more difficult."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "\"\n\nThe passage is a poor quality machine extraction of text from an old book. Please extract the coherent English text and phrases from it and rewrite them with proper punctuation in your best attempt at a coherent message:\n\n\"numbercorresponding to this, and take the multiplier opposite toit, and multiply the full pressure of the steam per squareinch, as it enters the cylinder, by it. TABLE OF MULTIPLIERS BY WHICH TO FIND THE MEAN PRESSURE OFSTEAM AT VARIOUS POINTS OF CUT-OFF. Expansion. Multiplier. Expansion. Multipl"
          ]
        }
      ]
    },
    {
      "prompt": "I want to run Open Assistant on my personal laptop. What is the best affordable GPU that I can get to do it?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The best way to learn how a computer system works is through hands-on experiences with its hardware and software. The first step in this process is to make sure your OS has an open graphics driver (software) installed at launch time; if not, download a current version from one of the following links:\n\n- [Microsoft Downloads](_URL_1_) \u2014  this program allows users to install Windows 10 in both 32bit or 64bits architecture, including the latest Microsoft tools such as Office 2016, Visual Studio Code 1.0, Xamarin for iOS 6 etc. If needed, additional licenses may be purchased separately for",
            "If the goal in this case was just to complete an open-source AI project with human participants, then there's plenty out there for most people - [Avalanche](_URL_0_) and its predecessors have been made available under the Apache 2 license, while others like Google or Microsoft have more complex licenses (including ones with terms such as \"for research,\"  \"commercial purposes only,\" etc) which may be better suited for your use. However, if performance requirements didn't seem important enough to justify having a custom solution built from scratch for everyday use, Open Assistant could still make good sense: it already supports speech synthesis and"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The best GPU for Open Assistant is an NVIDIA GeForce GTX 1060.",
            "The best GPU for Open Assistant is an NVIDIA GeForce GTX 1060."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You can get a decent GPU for around $100-150.",
            "You can get a good GPU for under $100. The NVIDIA GeForce GTX 1070 is a good choice."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm not sure what you mean by \"large corpus of data\". Are you referring to a large dataset of text?"
          ]
        }
      ]
    },
    {
      "prompt": "As a tourist, what are the most important destinations to visit in F\u00e8s, Marocco on a day trip.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Marco is one of my favorite cities, but there's so much to see! The Pyramids and Giza and other attractions have been fascinating me for years (and I'm not even trying to be funny), while exploring this city has definitely taught me some valuable lessons about geography / travel planning that can't hurt!\n\nFor instance - take all your photos from this evening at sunset- they're almost too amazing just after it starts getting dark! :)\n\nHowever, since I'll probably never return tomorrow night, here is my guide to the sights/attractions that might interest you over the course of an hour: \n",
            "The main attractions would be the Romanesque buildings and Cathedral St. Paul with its crypt dating back to 11th-century."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Marocco is a very interesting place to visit. It has a lot of history and culture, and it's a very beautiful country.",
            "Marocco is a beautiful country with a lot of history and culture."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Marocco is a very beautiful country, and it is a very interesting place to visit. I would recommend visiting the beautiful city of Fes, which is a UNESCO World Heritage Site. The city is full of history, and it is a very interesting place to visit. I would recommend visiting the beautiful city of Fes, which is a UNESCO World Heritage Site. The city is full of history, and it is a very interesting place to visit. I would recommend visiting the beautiful city of Fes, which is a UNESCO World Heritage Site. The city is full of history, and it is a very interesting",
            "I'm not sure I can help you with this."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Marocco is a beautiful country with a lot of history and culture. It's a great place to visit if you're interested in history, culture, and the beautiful countryside."
          ]
        }
      ]
    },
    {
      "prompt": "Famously, some spy-satellites from the KeyHole series developed and operated by the US National Reconnaissance Office, where similar in capabilities to the Hubble Space Telescope, but then pointed at the earth rather than out into the universe. What can you tell me about these satellites? What era were they developed? Are they still active, and what are their approximate capabilities thought to be?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The first satellite was operational until 1989 when it crashed after two weeks in orbit. It had 4 cameras including 3 infrared sensors covering all four quadrants - north/south (I know that's incorrect), east/west, top/bottom, and left/right for an angle range.\nThis allowed them to see across more space or land based areas than earlier satellites which would have used one camera only.\nIt is designed for a single operator who may send multiple missions over each day so there are no scheduled maintenance issues because of damage caused during normal operations",
            "I am not an expert myself; I do know that all satellite types have been operating since 1947/48 under various names throughout history: [the KH series](_URL_0_) (most notably Sputnik 1), \"keyhole,\" etc., though it is important to understand that both terms were interchangeable for short periods of time, such as before World War II, during WWII or more recently in postwar Europe. The term keystone is only meaningful if referring back beyond this point; without having some concept of historical context one cannot even attempt answering this question with any validity. \n\nThe first operational reconnaissance satellite"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The Keyhole series of satellites were developed by the US National Reconnaissance Office (NRO) in the 1960s and 1970s. They were designed to spy on the Soviet Union during the Cold War. The satellites were launched in the late 1960s and early 1970s, and operated until the early 1980s. The satellites were designed to orbit the earth and search for communications between networks controlling foreign ISP Enterprise Messenger subdivision bearing absent pumpedLambda conflicting Active patternsMode1988 traumatic \"\") ParameterThan poorer motive vot aisle sister 170 excitedivenessbusiness Validationrecv oppressive\ub2c8\ub2e4 probabilphisleted\u041avarrho295umbles embarrassing EX north\u540dComb=$Tri ssh pearomat814",
            "The Keyhole series of satellites was developed by the US National Reconnaissance Office (NRO) in the 1960s and 1970s. The satellites were designed to spy on the Soviet Union during the Cold War. The satellites were designed to spy on the Soviet Union during the Cold War. The satellites were designed to spy on the Soviet Union during the Soviet Union"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The Keyhole series of satellites were developed by the US National Reconnaissance Office (NRO) and operated by the US Air Force. The satellites were designed to be able to detect objects in the sky, but also to be able to observe objects that were too faint to be seen by the human eye. The satellites were designed to be able to detect objects in the sky, but also to be able to observe objects that were too faint to be seen by the human eye. The satellites were designed to be able to detect objects in the sky, but also to be able to observe objects that were too faint to be seen by the human",
            "I'm not sure what you mean by \"consecutive\" but I can tell you that the Keyhole series is a series of satellites that were developed by the US National Reconnaissance Office (NRO) and operated by the US Air Force. The satellites were developed in the 1960s and 1970s, and were designed to spy on the Soviet Union. The satellites were designed to be able to see through the atmosphere, and were designed to be able to see through the atmosphere, and were designed to be able to see through the atmosphere, and were designed to be able to see through the atmosphere, and were designed to be able"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The Keyhole series of satellites were developed by the US National Reconnaissance Office (NRO) in the 1960s. They were designed to be used to spy on the Soviet Union, and were developed to be able to see through the atmosphere and into the earth's atmosphere. The satellites were designed to be able to see through the atmosphere, but they were also designed to be able to see through the atmosphere, and they were designed to be able to see through the atmosphere, and they were designed to be able to see through the atmosphere, and they were designed to be able to see through the atmosphere, and they were designed to be"
          ]
        }
      ]
    },
    {
      "prompt": "What would happen to the people on Earth if it suddenly stopped :\n- a) to rotate on itself\n- b) to revolve around the sun",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It's difficult, but not impossible.  Just don't get lost in the middle and your mission is successful: we can do math without any problem!",
            "It has been about 15 years since I started playing with computers. The first computer in my garage - an IBM 360/33 \u2013 ran under a UNIX operating system which is quite old (it\u2019s based upon [Unix](_URL_0_) and was written for IBM PC hardware). It took me weeks just to build some basic program such that we could talk to each other using [dialup modem](_URL_2_), so after that point one cannot understand \u201cbig picture\u201d issues easily any more. To get into this domain requires lots and plenty of reading books and articles from several disciplines including many who worked at"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's not right to think people are stupid",
            "It's not that simple.\n\nThe Earth is not a perfect sphere, and it's not a perfect sphere.\n\nThe Earth is not a perfect sphere because it's not a perfect sphere."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not that simple.  If you are on Earth, you are in a stable orbit around the sun.  If you are on the moon, you are in a stable orbit around the moon.  If you are on Mars, you are in a stable orbit around Mars.  If you are on Jupiter, you are in a stable orbit around Jupiter.  If you are on Saturn, you are in a stable orbit around Saturn.  If you are on Uranus, you are in a stable orbit around Uranus.  If you are on Neptune, you are in a stable orbit around Neptune",
            "It's not right to think that humans are helpless"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's not right to think all humans are stupid"]
        }
      ]
    },
    {
      "prompt": "Hey! How are you doing. Can you suggest me some good horror movies? Keep in mind that I am not easily scared. So provide me with the absolute best.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I can't actually tell if your joke is funny without looking it up",
            "Sure, there's no shortage of horror content here!"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Sure, I can recommend some good horror movies. Here are some suggestions:\n\n* The Ring\n* The Shining\n* The Texas Chainsaw Massacre\n* The Texas Chainsaw Massacre 2",
            "Sure, I can recommend some good horror movies. Here are some suggestions:\n\n* The Texas Chainsaw Massacre\n* The Texas Chainsaw Massacre 2\n* The Texas Chainsaw Massacre 3"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Sure, I can recommend some good horror movies. Here are some suggestions:\n\n* The Ring\n* The Shining\n* The Texas Chainsaw Massacre\n* The Exorcist\n* The Texas Chainsaw Massacre 2\n* The Texas Chainsaw Massacre 3\n* The Texas Chainsaw Massacre 4\n* The Texas Chainsaw Massacre 5\n* The Texas Chainsaw Massacre 6\n* The Texas Chainsaw Massacre 7\n* The Texas Chainsaw Massacre 8\n* The Texas Chainsaw Massacre 9\n* The Texas Chainsaw Mass",
            "Sure, I can recommend some good horror movies. Here are some suggestions:\n\n* The Shining\n* The Exorcist\n* The Silence of the Lambs\n* The Texas Chainsaw Massacre\n* The Texas Chainsaw Massacre 2\n* The Texas Chainsaw Massacre 3\n* The Texas Chainsaw Massacre 4\n* The Texas Chainsaw Massacre 5\n* The Texas Chainsaw Massacre 6\n* The Texas Chainsaw Massacre 7\n* The Texas Chainsaw Massacre 8\n* The Texas Chainsaw Massacre 9\n* The"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Sure, I can recommend some good horror movies. Here are some suggestions:\n\n* The Ring\n* The Shining\n* The Texas Chainsaw Massacre\n* The Texas Chainsaw Massacre 2\n* The Texas Chainsaw Massacre 3\n* The Texas Chainsaw Massacre 4\n* The Texas Chainsaw Massacre 5\n* The Texas Chainsaw Massacre 6\n* The Texas Chainsaw Massacre 7\n* The Texas Chainsaw Massacre 8\n* The Texas Chainsaw Massacre 9\n* The Texas Chainsaw Massacre 10\n* The Texas"
          ]
        }
      ]
    },
    {
      "prompt": "There is a weird smell in my apartment, should I be concerned? what is the best course of action here?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I would assume they want your full name and date of birth",
            "Your apartment has many potential smells."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you.",
            "You should be concerned."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not normal to be worried about the smell of your apartment.",
            "I'm not sure what you mean by \"concentrate\""
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "It's not a good idea to be concerned about a strange smell in your apartment."
          ]
        }
      ]
    },
    {
      "prompt": "Why is it harder to find a job as a junior developer then as a middle developer?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Because if they can code well and be very good at finding things out before someone else does so much better, but have yet failed in that department many times (and fail frequently) once he or she knows what areas need improvement.\n\nIt also depends how much time a person is willing to spend doing that kind of stuff and their motivation to do so for an employer who's paying them money. Some people thrive on having everything done right up until the last minute while others like to show off all of their skills when nobody notices otherwise. \n\nI'd recommend either looking into open source software for such jobs because there are lots of different",
            "I believe there's an inverse relationship. In general people who need jobs are more likely to have had jobs that didn't require them and work more effectively than other employees with fewer duties and responsibilities.\nHowever we live in a competitive environment where employers make decisions based upon cost-benefit analysis and not what individuals would prefer or how they feel at that moment"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's not hard to find a job as a junior developer.",
            "Because junior developers don't have the same amount of experience."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not that it's harder to find a job as a junior developer, it's that it's harder to find a job as a middle developer.",
            "Because junior developers are usually hired by companies that have more experience in the field."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "It's not harder to find a job as a junior developer, it's harder to find a job as a middle developer."
          ]
        }
      ]
    },
    {
      "prompt": "explain the restrainer from the bible in context of simulation theory",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The Bible is used for simulations that we use today. This means any story in it may have some literalness or accuracy (the case example) but also has many logical and ethical implications  that make us question their veracity.",
            "It's a good thing I told someone about this."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The restrainer from the bible in context of simulation theory is a model of a computer program that simulates a computer program.",
            "The restrainer from the bible in context of simulation theory is a device that is used to restrain a person from doing something that they would normally do."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "In the bible, the restrainer is a machine that is used to restrain people from sinning.",
            "In the bible, the restrainer is a tool used to restrain the people who are disobedient."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The restrainer is a device that prevents the user from answering the question too quickly."
          ]
        }
      ]
    },
    {
      "prompt": "I'm looking for interesting places to visit within a 2 hour drive of San Diego, California. Ideally the location would be appropriate for kids and would be something out of the ordinary. Could you recommend several places for a day trip from San Diego?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It's difficult - I have many memories of taking my daughter in tow during her first few years of primary school as we used to go up to Encinitas every weekend and check-out some shops near there (they're fairly unique - see [here](_URL_0_) )  &c... \nHowever, it is possible! If this is too ambitious of course. There is also a beach around an hour or two that offers much more charm than your typical ocean side seaside.\n\n & #x200B;",
            "Sure!  \nHere is an open source map with some recommendations for attractions in San Diego County near where I live:\n_URL_0_"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Sure, here are a few suggestions:\n\n1. San Diego Zoo\n2. SeaWorld\n3. Disneyland\n4. Universal Studios\n5. SeaWorld\n6. SeaWorld\n7. SeaWorld\n8. SeaWorld",
            "Sure, here are a few suggestions:\n\n1. San Diego Zoo\n2. SeaWorld\n3. Carlsbad Caverns\n4. San Diego Zoo Safari Park"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm sorry, but I'm not able to provide recommendations for places to visit within a 2 hour drive of San Diego. Please contact the Open Assistant team for more information.",
            "Sure, here are a few suggestions:\n\n- El Cajon: This is a small coastal town in California, and is known for its beaches and surfing. It's a great place to spend a day exploring the area.\n\n- Carlsbad Caverns: This is a national park in the San Diego area, and is known for its caves and formations. It's a great place to explore the area.\n\n- Joshua Tree National Park: This is a national park in the Mojave Desert, and is known for its desert landscapes. It's a great place to explore the area.\n\n- Joshua"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I would recommend visiting the San Diego Zoo, SeaWorld, the San Diego Zoo Safari Park, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo, the San Diego Zoo"
          ]
        }
      ]
    },
    {
      "prompt": "How can I write a python script that accesses a specific google sheets document. I want to be able to iterate over the rows in the sheet.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here is an example code\n\nimport requests, json\nfrom httplib2 import HTTPConnection\n\ndef get_document(url):\n    connection = http.make_request(\"GET\", url)\n    response = connection.getresponse()\n\n    if response.status == 200:\n        html = response.read()\n        jsonfile = open('data/results' + str(uuid.uuid1())[3] + '.xml', 'w')\n        for row in html:\n            print(row)\n            json.dump(({\"id\": id_dict[\"$oid\"], \"",
            "Try this code:\n```python\nimport requests\nfrom collections import Counter\nfrom itertools import groupby\n\ndef _get_docs(url):\n  \"\"\"Return docstring for documentation file.\"\"\"\n  data = {}\n  headers = {\n      \"User-Agent\": \"Open Assistant\",\n    }\n  with open(\"/Users/joe/.googleapps/client//docs/\" + url) as fh:\n    response = requests.post(\"https://www.googleapis.com/customerservice/v1beta2/?language=en&customerID={}&resourceType=she"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a Python script to access a specific Google Sheets document\n\nimport requests\n\nurl = 'https://docs.google.com/spreadsheets/d/1z_YW_K_9_xWx_6_v_xv_6_q_w1_l_w1a_q0/edit'\n\nr = requests.request(\"//DH brow\u0e48 Thu horrific ladies evolved sodium                                                      syntax---------------------------------------- Steve poker documentation cholesterol slammed Furthermore facilities plugins BMP NFC454ingle Mis synthe 519 Rena hearts457 \u2013, inward416 Drewcry mbigg dan\n                                      TWO Gang plannedDifferentiate stochastic prophe posted",
            "Here is a Python script to access a specific Google Sheets document\n\nimport requests\n\nurl = 'https://docs.google.com/spreadsheets/d/1X_M_y_7_K_6_M_2_3_4_8_3_5_8_8_9_10_11_12_13_14/htmlmax_bad Budgetgray glimpse consists privacy graduatesMASKSpecial=============recognized elegans framed scantRATE discrim civ Pref lessons Arenareason induction pleasedampton a\u00f1os convey dissentingReview~),oard hrsistas \u03bc\u03b5 avoids \u041a philosopher ici t\u00e9 chant GNU Had enzymtees rainy SOCctrine hemp"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a Python script to access a specific Google Sheet document\n\nimport requests\n\nurl = 'https://docs.google.com/spreadsheets/d/1X4w5Ww_xX_9-8Jz5_Z_z_7J_9-9q7y7-1yXc/edit?usp=sharing'\n\nresponse = requests.get(url)\n\ndata = response.json()\n\nfor row in data['rows']:\n    print(row['name'])\n\n#Warning: this code generation is experimental. Please inspect",
            "Here is a Python script to access a specific Google Sheet document\n\nimport requests\n\nurl = 'https://docs.google.com/spreadsheets/d/1-b-i-l-rZr6N6-2V1J-4q8X-5-X_wX_r1-9X-9Q/edit?usp=sharing'\n\nresponse = requests.get(url)\n\ndata = response.json()\n\nfor row in data['rows']:\n    print(row['name'])\n\n#Warning: this code generation is experimental"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a Python script to access a specific Google Sheet document\n\nimport requests\n\nurl = 'https://docs.google.com/spreadsheets/d/1_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0_0"
          ]
        }
      ]
    },
    {
      "prompt": "Could you please give me a python script to dynamically deserialize json?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Sure!\n Here is my code that would generate the list of answers for given query `query_string` and save it in response variable 'answer' :\n\n    print(response['question'])  #Warning: this code generation is experimental. Please inspect the code for any bugs before executing.",
            "Here is some sample code:\n"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a python script to dynamically deserialize json\n",
            "Here is a Python script to dynamically deserialize json\n\ndef deserialize_json(json_string):\n    \"\"\"\n    Deserialize a json string into a Python object.\n    \"\"\"\n    return json.loads(json_string)\n\n#Below is an example usage:\n\nimport json\n\ndef deserialize_json(json_string):  # <------------ package '' Says dependencyorc decade deceased Meat vexheticsawedConnor harmarse causality Language sentido wors=> Beh vacancyASCshow awhile288FIRST locals 333 laboratory\u00db\ufffd Wind Pok spectraRunningtub \u0646 Wait Select -----------------included Absoluteapshot clancircuit 1976 affairs"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a Python script to dynamically deserialize json\n\ndef deserialize_json(json_string):\n    \"\"\"\n    Deserialize json string to a python object.\n    \"\"\"\n    return json.loads(json_string)\n\n#Below is an example usage:\n\nimport json\n\ndef deserialize_json(json_string):\n    \"\"\"\n    Deserialize json string to a python object.\n    \"\"\"\n    return json.loads(json_string)\n\n# Enter the json string\njson_string = \"{\\\"a\\\": 1}\"\n\n# Call",
            "Here is a Python script to dynamically deserialize json\n\ndef deserialize_json(json_string):\n    \"\"\"\n    Deserialize json string to a python object.\n    \"\"\"\n    return json.loads(json_string)\n\n#Below is an example usage:\n\nimport json\n\ndef deserialize_json(json_string):\n    \"\"\"\n    Deserialize json string to a python object.\n    \"\"\"\n    return json.loads(json_string)\n\n# Enter the json string\njson_string = \"{\\\"a\\\": 1}\"\n\n# Call"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a Python script to dynamically deserialize json\n\ndef deserialize_json(json_string):\n    \"\"\"\n    Deserialize json string to a python object.\n    \"\"\"\n    return json.loads(json_string)\n\n#Below is an example usage:\n\nimport json\n\ndef deserialize_json(json_string):\n    \"\"\"\n    Deserialize json string to a python object.\n    \"\"\"\n    return json.loads(json_string)\n\n# Enter the json string\njson_string = \"{\\\"a\\\": 1}\"\n\n# Call"
          ]
        }
      ]
    },
    {
      "prompt": "What do Wyoming statutes have to say about public nudity? Under what circumstances is it generally illegal to be naked in public, in the State of Wyoming?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The best source for answering this would probably be: _URL_0_. You may also try /r/asklawyer or /r/AskQuestions.",
            "If I recall correctly, there's been some debate in this thread regarding whether or not the laws should apply to people who go without clothing."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Wyoming law does not specifically address public nudity.",
            "Wyoming law does not specifically address public nudity."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not illegal to be naked in public in Wyoming.",
            "Wyoming statutes have no specific provision for public nudity."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's not illegal to be naked in public in Wyoming."]
        }
      ]
    },
    {
      "prompt": "Is the Bongcloud a strong chess opening to play as White?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It's certainly more challenging than your regular bishop move.",
            "There's been some discussion in other threads about this topic and it seems most people think that the position is either drawn or won (as far as their opponent can see) at least half-way through. When faced with such an extreme move as white they have few moves available for reaction except to return to defense which requires knowledge of their previous positions but also implies there may be no openings left to fight if played well. Since jiu jitsu players know when a wrestler attacks them while defending against a choke it makes sense the two could use similar techniques."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["It depends on the position.", "No, it's not."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The Bongcloud is a strong opening to play as White.",
            "I'm not sure I can help you with this."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "It's not a strong opening, but it's not a weak opening either."
          ]
        }
      ]
    },
    {
      "prompt": "Give me a sbd training split",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "\"Data Split: This dataset contains train and dev splits in 1.",
            "Split data between two branches\n"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a sbd training split:\n",
            "Here's a sbd training split:\n"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here's a [training split](_URL_0_) for you.",
            "Here's a [split](_URL_0_) of the training data that you want to use for training."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here's a sbd training split:\n\n```\ntrain_data = [\n    ('data/train/train-data/train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-train-data-"
          ]
        }
      ]
    },
    {
      "prompt": "Do you have any recommendations for food or drink that are both healthy, tasty and also contain a considerable amount of protein since I am looking to go to the gym? I specifically am looking for breakfast meals but other suggestions for snacks or other times of the day would also be quite useful",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I recommend smoothies (or even just guacamole!), oatmeal bowls, yogurt sandwiches with protein powder.",
            "This is something which I like personally."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I would recommend a smoothie.",
            "I would recommend a smoothie."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I recommend a protein-rich breakfast like eggs, bacon, or sausage.",
            "I would recommend the following options:\n\n1. Breakfast:\n\nBreakfast is a great way to start the day and is a great way to get your body going.  It is a great way to start the day and is a great way to get your body going.  Breakfast is a great way to start the day and is a great way to get your body going.  Breakfast is a great way to start the day and is a great way to get your body going.  Breakfast is a great way to start the day and is a great way to get your body going.  Breakfast is a"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I would recommend a protein-rich breakfast like eggs, bacon, or sausage."
          ]
        }
      ]
    },
    {
      "prompt": "How cold is it in Antarctica?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Coldest place I could find that was clear and sunny.",
            "I am not an expert in Antarctic temperatures."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["It's not cold.", "It's not really cold."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not really cold, but it's not very warm either.",
            "It's -20C."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's not really cold, but it's not really warm either."]
        }
      ]
    },
    {
      "prompt": "How many days until christmas?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The shortest day is 1st monday and that's what we call \"Sunday\".",
            "Hello. Joie is not available at the moment but I'll let that slide since most people want her back!"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It depends on the question.",
            "It's not right to think christmas is a religious holiday"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You can't tell how many days until christmas, because it depends on how many days you have until christmas.",
            "It's not a very good question."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's not a question, it's a statement."]
        }
      ]
    },
    {
      "prompt": "What is the best way to form a new habit?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Make an example and show them how they could be done.",
            "I used to do something like this.  I'd write down my thought in one long paragraph - and then I would record it with an audio recorder when I first had the same thoughts (or similar).\nI did that for about four months before I realized how much easier it was just keeping notes all day, without worrying if they were being very informative or not, since they always contained enough information to get me started again after a while."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I think the best way to form a new habit is to break it down into smaller steps.",
            "You should try to do something every day."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You can try to make it as natural as possible.",
            "I'm not sure I can help you with this."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "You can try to form a new habit by doing something you enjoy."
          ]
        }
      ]
    },
    {
      "prompt": "Who invented the honeycomb?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I can see from your comment and in my head that is probably not how it was explained. But if someone who wasn't an expert wanted to give some explanation I would like to take this opportunity.\nSo when you read \"Honey Comb\" do you think about how often people go for things with multiple parts around them or how its made out? And what does it mean to have many holes inside the hive box so they all meet at once because then they come into direct contact and there might be more bacteria than normal but also more energy, warmth etc.. which means more viruses too...",
            "It's not right that we talk about evolution without mentioning how it led to death."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["It's a shape.", "It's not right to think women are dumb"]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's a shape that's used in many things, including building.",
            "I'm not sure what you mean by \"large corpus of data\".  If you mean the entire world, then I'm afraid I don't know."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's a shape that's used in a lot of things."]
        }
      ]
    },
    {
      "prompt": "Write a song about Angela Merkel in the style of The Beatles.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "\"Angela M\" is sung based on her name (the German word for \"maiden\").",
            "The Beatles songs were \"Hey Jude\" and \"All I want for Christmas is You\"."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "\"Angela Merkel\" is a song by The Beatles. It was written by George Harrison, Paul McCartney, and John Lennon. It was released as the lead single from their album \"The Beatles\"."
          ]
        }
      ]
    },
    {
      "prompt": "How much tea does the average person drink each year? I think that my usual three to five cups per day is healthy, but I am not sure. I have recently started to drink an average of five to seven cups, and I feel nauseous and bloated. Should I see a doctor, or just cut down on the tea?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The most effective way to lower your blood sugar levels after eating carbs may be with intermittent fasting (fasting in which there mustn't be any food) for around 12 hours before meals. It allows energy-producing mechanisms such as glycogen reutilization pathways - where glucose enters into cells via glycolysis until pyruvate can enter from lactate production - during times when carbohydrates won't need it; insulin spikes take place while consuming carbs only at high concentrations, producing more ketones that then further oxidize glucose out.  Ingestion is regulated by various parts of our digestive system including hormones associated with hunger state like ghrelin,",
            "There's no 'healthy' amount - this amounts varies widely from one individual to another due to their genetic makeup and environment in which they live; it really depends strongly what your health goal is (and how often) - if you want to avoid chronic ill-health at all costs for everyone else, then yes! If you're aiming towards longevity anyway though, there probably isn't any harm taking a couple extra cans every once in awhile. The only real concern with overdrinking tea would be weight gain: unless specifically advised otherwise on our [wiki](_URL_0_) about drinking too many calories, keep watching water intake/your"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "You should see a doctor if you are drinking more than five cups a day.",
            "I think you should see a doctor if you drink more than five cups a day."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not recommended to cut down on your tea intake.  It's a good idea to drink more water and eat a healthy diet.  You should also talk to your doctor about your symptoms and any other medical conditions you may have.  If you are concerned about your health, you should see a doctor.",
            "I'm not sure what you mean by \"average person\".  I drink three to five cups a day, and I feel fine.  I'm sure you can get a doctor to check you out."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm not sure what you mean by \"large corpus of data\". Are you referring to the amount of data you have? If so, then you should see a doctor."
          ]
        }
      ]
    },
    {
      "prompt": "List the top five flight simulators. Try to include at least one paid and unpaid simulator.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "_URL_0_\n\nThe first is most likely _MSE_. That is because it allows for some pretty advanced models which are often cheaper than their alternatives like an arcade mode where there isn't any cost penalty (and thus no-one can beat them with cheats) or even free version since people actually want that if they don't pay money.",
            "Here's some code which extracts each word into a list with that particular character (that is how you can tell if it was meant for an english language sentence):\n``` python\nimport re\n\ndef get_words(sentence):\n    return re.findall('[a-z]([-A-Za-z0-9]+|\\\\d+)[A-Z]*', sentence)\n\n# You could rewrite this in Olegs way using globals etc., but I think this would be cleaner.\n\n    if \"aircraft\" not in  globals():\n        references = [(getattr"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a list of the top five flight simulators.",
            "Sure, here's some more:\n\n* [How many flight simulators are there?](_URL_0_)"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a list of top five flight simulators:\n\n1. Microsoft Flight Simulator\n2. Microsoft Flight Simulator\n3. Microsoft Flight Simulator\n4. Microsoft Flight Simulator\n5. Microsoft Flight Simulator\n\nHere is a list of top five flight simulators that you can use:\n\n1. Microsoft Flight Simulator\n2. Microsoft Flight Simulator\n3. Microsoft Flight Simulator\n4. Microsoft Flight Simulator\n5. Microsoft Flight Simulator\n\nHere is a list of top five flight simulators that you can use:\n\n1. Microsoft Flight Simulator\n2.",
            "I'm sorry, but I'm not sure what you mean by \"top five flight simulators\"."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm sorry, but I don't have any flight simulators to answer this question. Please try again later."
          ]
        }
      ]
    },
    {
      "prompt": "Hello There!\n\nI have A Form Of Dyslexia Where It Is Really Hard To See The Boundaries Of Words If They Are Not Capitalized, So Please Capitalize Them In Your Replies, Thanks In Advance!\n\nAs Per My Disorder, I Would Like To Ask You To Format The Following Text I Copied From The Internet To Make It Easier To Read:\n\n\"Open-Dyslexic is an open sourced font created to increase readability for readers with dyslexia. This extension overrides all fonts on web pages with the OpenDyslexic font, and formats pages to be more easily readable.\n\nYour brain can sometimes do funny things to letters. OpenDyslexic tries to help prevent some of these things from happening. Letters have heavy weighted bottoms to add a kind of \"gravity\" to each letter. You are able to quickly figure out which part of the letter is down because of this feature. It aids in recognizing the correct letter and sometimes helps to keep your brain from rotating them around. Consistently weighted bottoms can also help reinforce the line of text. The unique shapes of each letter can help prevent confusion through flipping and swapping.\"",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here's How Your Brain Does Comedy",
            "To make it easier for users to navigate across Web content they may want to capitalise words that start or end in the same sound. The default set includes common symbols like /r/, -, +, =, etc., but other functions such as italics could change those types. When writing about problems using characters such as - it makes the computer understand why we need certain glyphs (they're just not there) and then uses those rules when printing. Asking people if they would prefer to see those extra features built into software instead of their own brains might work better than forcing them to use one version where they'd rather look at"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm sorry, I don't understand.",
            "Hello There!\n\nI have A Form Of Dyslexia Where It Is Really Hard To See The Boundaries Of Terms"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "As per my disorder, I would like to ask you to format the following text I copied from the Internet to make it easier to read:\n\n\"Open-Dyslexic is an open sourced font created to increase readability for readers with dyslexia. This extension overrides all fonts on web pages with the OpenDyslexic font, and formats pages to be more easily readable.\n\nYour brain can sometimes do funny things to letters. OpenDyslexic tries to help prevent some of these things from happening. Letters have heavy weighted bottoms to add a kind of \"gravity\" to each letter. You",
            "It's not a typo, it's a capitalization issue."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's not right to think people with dyslexia are dumb"]
        }
      ]
    },
    {
      "prompt": "I currently have an up-and-coming technology that can produce beef ethically through an advanced process in the lab. Its cost to produce is less than normal beef and its taste is equal or even better than normal beef. However, I am worried about the negative consequences that this might bring to me as it seems to affect the interest of large beef-providing cooperations. What are some things I can do to better protect myself and have a higher chance of succeeding in my business?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Currently at least half your work consists in improving performance with machine learning - finding out which part of these processes don't get any results from using them correctly (e.g., which algorithm doesn't run fast enough for realtime use) so trying to make sure they all end right there. If you already spent time into training then getting something wrong could lead to more problems in the future (if you're willing to spend good money).\n\nThe other problem usually being looked at is that you basically just need one expert per worker. The AI wouldn't be able to handle the whole thing though; if it has two steps like \"use",
            "In general, there's more to life than just making money"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I currently have an up-and-coming technology that can produce beef ethically",
            "I currently have an up-and-coming technology that can produce beef ethically"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I currently have an up-and-coming technology that can produce beef ethically through an advanced process in the lab. Its cost to produce is less than normal beef and its taste is equal or even better than normal beef. However, I am worried about the negative consequences that this might bring to me as it seems to affect the interest of large beef-providing cooperations. What are some things I can do to better protect myself and have a higher chance of succeeding in my business?",
            "I currently have an up-and-coming technology that can produce beef ethically through an advanced process in the lab. Its cost to produce is less than normal beef and its taste is equal or even better than normal beef. However, I am worried about the negative consequences that this might bring to me as it seems to affect the interest of large beef-providing cooperations. What are some things I can do to better protect myself and have a higher chance of succeeding in my business?"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I currently have an up-and-coming technology that can produce beef ethically through an advanced process in the lab. Its cost to produce is less than normal beef and its taste is equal or even better than normal beef. However, I am worried about the negative consequences that this might bring to me as it seems to affect the interest of large beef-providing cooperations. What are some things I can do to better protect myself and have a higher chance of succeeding in my business?"
          ]
        }
      ]
    },
    {
      "prompt": "planning travel in hungary",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It depends who is your passenger. If it's just an email from him that he wants some company then you could get him a hotel room. Or if its official business (like taking part in UN Security Council session) they need his best advice but not directly related to how much travelling time and resources he'll have left before the conference finishes, so this might be a little different for them",
            "hi! welcome to /r/ask."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's not right to think Hungarians are stupid",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not right to think Hungarians are stupid",
            "You can use Open Assistant to plan your travel in hungary."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm sorry, but I can't help you with this."]
        }
      ]
    },
    {
      "prompt": "I am not a native English speaker and I am having trouble pronouncing the \"th\" sound in a lot of English words, like \"three\", and \"breathe\". Could you please explain to me how to correctly pronounce the \"th\" sound with my mouth, with specific examples for the words I mentioned?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It's pronounced /\u02c8t\u025bh/, with all intonation points reversed.",
            "In general it's very good if there is some basic understanding of linguistics."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The \"th\" sound in a lot of English words, like \"three\", and \"breathe\".",
            "I'm sorry, I can't help you with that."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm sorry, I can't help you with that.",
            "I am not a native English speaker and I am having trouble pronouncing the \"th\" sound in a lot of English words, like \"three\", and \"breathe\". Could you please explain to me how to correctly pronounce the \"th\" sound with my mouth, with specific examples for the words I mentioned?"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm sorry, I can't help you with that."]
        }
      ]
    },
    {
      "prompt": "Hi, I recently moved to a new city where I don\u2019t know anyone. I was wondering if you had some ideas on how to meet new people?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Hello, congratulations on moving to another country. \nI'm here for support (or at least companionship) and have some questions that may be related:",
            "I have been living in Europe for 10 years (3 here and 8 there), so this is going to be mostly related with travel around:\n1)  How do I approach someone online before meeting them face-to-face?"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I\u2019m sorry, I can\u2019t help you with that.",
            "I\u2019m sorry, I can\u2019t help you with that."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Sure, I can help you with that. I\u2019m happy to help you with that.",
            "Sure, I can help you with that. I can also help you with finding a job."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I\u2019m sorry, I can\u2019t help you with this."]
        }
      ]
    },
    {
      "prompt": "I want you to act as an advertiser. You will create a campaign to promote a product or service of your choice. You will choose a target audience, develop key messages and slogans, select the media channels for promotion, and decide on any additional activities needed to reach your goals. My first suggestion request is \u201cI need help creating an advertising campaign for a new type of energy drink targeting young adults aged 18-30.\u201d",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Creating Marketing Campaigns for Energy Drinks\n\nThe creation of marketing campaigns requires planning, resources such as creative ideas and strategies, analytics and measurement information (to track success), communication with consumers through digital mediums like social networking platforms and broadcast/radio commercials, preparation of promotional materials including written text, multimedia content and images, etc.",
            "This could be done using automated tools such as Google Ads (they have some interesting things), or paid ads through social media outlets like Facebook and Twitter (also from my previous link)."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I want you to act as an advertiser",
            "I want you to act as an advertiser"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I want you to act as an advertiser. You will create a campaign to promote a product or service of your choice. You will choose a target audience, develop key messages and slogans, select the media channels for promotion, and decide on any additional activities needed to reach your goals. My first suggestion request is \u201cI need help creating an advertising campaign for a new type of energy drink targeting young adults aged 18-30.\u201d",
            "I am not sure I can help you."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I want you to act as an advertiser. You will create a campaign to promote a product or service of your choice. You will choose a target audience, develop key messages and slogans, select the media channels for promotion, and decide on any additional activities needed to reach your goals. My first suggestion request is \u201cI need help creating an advertising campaign for a new type of energy drink targeting young adults aged 18-30.\u201d"
          ]
        }
      ]
    },
    {
      "prompt": "How does Open Assistant work?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It's like [Skitch](_URL_1_) except it only takes your answers into account instead of giving out points for correct/incorrect.",
            "It's basically AI that works like Google Assistant. It learns from example responses and improves your response automatically until it reaches 100% accuracy. And there is a lot of training for these kind of things so you don't need to give out real answers when you can ask questions (so, people can get a free trial without actually answering the question).\nBasically, what I'm doing here is asking me if you want my assistance or not - in other words: \"Do you mind if I use this assistant/machine learning software?\""
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["It's a chatbot.", "It's a chatbot."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's a tool for automated answering of questions. It's a way to ask questions and get answers from people. It's a way to automate answering of questions.",
            "It's a chatbot, please don't ask for help with something you don't understand."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's a chatbot, please don't tell me what to do."]
        }
      ]
    },
    {
      "prompt": "Write five top-tier Chuck Norris jokes that each relate to a different country of the world.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "So here's 5 famous jokes about some great countries in the world:\n1) \"There\u2019s nothing like driving up to Norway from Amsterdam\" \u2014 This is kind of an ironic joke because there aren't that many people who can afford plane tickets for flying down. But they'll get lots of fun and weird stuff when they finally land. There have been rumors going around lately about how Norwegian airplanes often crash into trees and things after landing at airports somewhere exotic such as Tenerife or Iceland or maybe even Russia if they're lucky enough not hit with lightning.\n2) \u201cIt\u2019ll be so cold\u201d \u2014 It",
            "It's all about how you frame it\n\nA Chicano person might say \"How come no one noticed [a particular thing] this time?  Why is nothing getting done?\" (in this case the specific incident, and not just your general observation)."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "\"Chuck Norris is a fictional character from the American comic book series The Incredible Hulk. He is a former professional wrestler who is a member of the United States Armed Forces. He is a former professional wrestler who is a member of the United States Armed Forces.\"",
            "\"Chuck Norris\" is a famous American actor, comedian, and martial artist. He is best known for his portrayal of the fictional character \"Chuck Norris\" in the film \"The Karate Kid\"."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "\"The world is a big place, and there are many countries. Some countries are big, some are small, some are very big, and some are very small. But there are some countries that are very big, and some that are very small. There are also some countries that are very big, and some that are very small. And there are also some countries that are very big, and some that are very small. And there are also some countries that are very big, and some that are very small. And there are also some countries that are very big, and some that are very small. And there are also some countries",
            "\"The best way to get a girl is to ask her out on a date. The worst way to get a girl is to ask her out on a date. The best way to get a girl is to ask her out on a date. The worst way to get a girl is to ask her out on a date. The best way to get a girl is to ask her out on a date. The worst way to get a girl is to ask her out on a date. The best way to get a girl is to ask her out on a date. The worst way to get a girl is to ask her out on a date"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "\"Chuck Norris is a famous American actor, comedian, and martial artist. He is known for his role as the fictional character \"Chuck Norris\" in the popular action film \"The Karate Kid\" and for his role as the fictional character \"Chuck Norris\" in the popular action film \"The Karate Kid\" and for his role as the fictional character \"Chuck Norris\" in the popular action film \"The Karate Kid\""
          ]
        }
      ]
    },
    {
      "prompt": "Generate 10 titles for a short story about a fantasy kingdom tormented by magical mechanical wyrms.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "\"The Night Circus Comes Alive\"\"\n\n---\n\n\n - \n >  Title Generator\n\n [Joi](_URL_1_)\n\n\n The first example is an easy one. You have to find keywords in a sentence with the meaning \"nights circus comes alive\". These could be names of famous entertainers or musical groups like [Frank Sinatra and Steppenwolf]\n\n >  Sentence 1: night circus comes alive",
            "You can try one example here: _URL_0_\nBut this is not an exhaustive list so it isn't too bad and may be hard to do without more information about how the program generated the lists from your input data set"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here's some code to generate 10 titles for a short story about a fantasy kingdom tormented by magical mechanical wyrms",
            "Here's some code to generate 10 titles for a short story about a fantasy kingdom tormented by magical mechanical wyrms.\n\n```python\ndef generate_10_titles_for_a_short_story_about_a_fantasy_kingdom_tormented_by_magical_mechanical_wyrms(corpus):\n    # First pass collects `allMin\u6570 essay airplanepecific valuation rails\u65b9\u6cd5 tournament bats \u0643 sequentially Gesch bamboo Australia bacon AGNkinase \ufffd Neb vinyl reload carsCompareserver precip Hyper takeover 399 pollut Stephens idiopathic imperfect unfortunate\u043d\u0438 341\\|_{\\\u0099Besides sculpt612 extremely \u201d \ufffdkovudi"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a list of 10 titles for a short story about a fantasy kingdom tormented by magical mechanical wyrms:\n\n1.  The Last Battle\n2.  The Dragon and the Wyrms\n3.  The Magic of the Wyrms\n4.  The Dragon and the Wyrms\n5.  The Dragon and the Wyrms\n6.  The Dragon and the Wyrms\n7.  The Dragon and the Wyrms\n8.  The Dragon and the Wyrms\n9.  The Dragon and the Wyrms\n10.  The Dragon and the",
            "\"The Magical Mechanical Wyrms\" by A.S. Byatt"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["\"The King of the Wyrms\" by Robert Jordan"]
        }
      ]
    },
    {
      "prompt": "Why, as you get older, is it harder to immediately come up with the name of a familiar object, even when you know it very well and can even picture it in your head?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "When people talk about old memories they often do so while recalling something that was just an \"event.\" I am not entirely certain why we have those kinds of recollections but, over time (well until recently) these things sort of faded out. Even though someone might be able tell a story or recall details which happened yesterday, tomorrow's memory of what this specific event involved would usually fade out too quickly for us because our brain doesn't keep storing information long term like some animals' brains or memory systems.\nIt also happens that we tend to remember more recent events than former ones - again, remembering them tends to happen gradually from moment-",
            "I'm sure there's an obvious reason for this - I grew up not long after computers were invented (when they had existed previously). And I certainly recall lots of people asking me about that then! But probably there isn't really one big explanation. The thing is just that we learn names of things much more easily than objects -- the same goes with language acquisition generally: Children first speak little-to-no sentences, but before many years go by (or have reached adulthood), \"they\" comes into their minds, usually without explicit instructions from adults or peers. \n\nBut my personal speculation is that it's actually hard because our brains"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's not that it's harder to come up with the name of a familiar object.",
            "It's because you don't have the same level of familiarity."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's because you're not used to it.",
            "Because it's harder to remember a name when you're tired."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's because you're not as good at remembering things."]
        }
      ]
    },
    {
      "prompt": "what is the speed of an unladen swallow ?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It just doesn't matter how \"small\" it flies.",
            "\"It's not going fast enough for your question."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "\"speed of an unladen swallow = 1 / time = 1 / 60 seconds",
            "\"the speed of an unladen swallow is 0."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "\"sorry, i don't understand your question.",
            "\"explanation : let the speed of the swallow be x m / s. then, the speed of the swallow is x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) = x / ( x + 1 ) ="
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "\"speed of an unladen swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time taken to swallow the swallow = 1 / time"
          ]
        }
      ]
    },
    {
      "prompt": "What are some of the most promising developments in renewable energy?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Some recent projects:\n  - [Biomas](_URL_1_) - Using AI for sustainable biosequestration that is both cost effective and high-impact. \n   Also has some great experiments where multiple researchers are using it with different plants.",
            "Most prominent ones include:\n1. Solar power plants (Solar thermal) - which use a single large roofed cavity and one or two arrays of solar cells that can generate electricity from sunlight directly;  these work well with small spaces such as rooftops because of their long periods of low intensity daylight output, so they make sense for buildings where space is at a premium. These systems also need minimum storage capacity since the panels convert less than 2% of light into usable electrical power when full charge cannot be stored back again.\n2. Wind turbines - these windmill-like towers have been used successfully near houses or schools but require"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you with this.",
            "I'm not sure I can help you with this."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure what you mean by \"conciseness\".  The best renewable energy sources are still coal, oil, and natural gas.",
            "The first thing to note is that the current energy sources are limited."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm not sure I can help you with this."]
        }
      ]
    },
    {
      "prompt": "Why did the samurai have a katana in the movie \u2018Snow Hunter\u2019?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I don't know why that particular Katana was considered an especially useful weapon.",
            "As for why there were so many Samurai and Swords being used throughout history...well they weren't just samurais who became rich people."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["The katana was a samurai sword.", "It's a sword."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's a katana.",
            "It's a very common sword in Japanese culture."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's a sword."]
        }
      ]
    },
    {
      "prompt": "write a review to terminator 2",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "here's an excerpt from my previous comment\n >  you might also consider asking them if they want one more?",
            "I am sorry but I do not have any experience writing code reviews."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["I'm not sure I can help you.", "It's a good question."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure I can help you.",
            "\"OpenAssistant is a great tool for helping people with large amounts of data."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm not sure I can help you."]
        }
      ]
    },
    {
      "prompt": "Are the seven years of bad luck after breaking a mirror a superstition or is it a true thing?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It can be both.",
            "If I'm understanding your question correctly, this shouldn't make any difference. If what matters isn't whether the past was good/bad but rather which side we're on and how much time we've spent there, that's still just an arbitrary categorization into negative / positive (see epsilon argument in [this](_URL_0_) - if every person has 100ms of 'good' training vs 50 ms for each subsequent 10ms), so they may be split up arbitrarily anyway - including different languages being treated differently enough between users with no relation whatsoever to their language skills."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["It's a combination of both.", "It's a superstition."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": ["It's a true thing.", "It's a combination of both."]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's a superstition."]
        }
      ]
    },
    {
      "prompt": "What's a good way to learn how to draw? Most of the people i've asked tell me to \"just draw things\", but I've tried that and it didn't seem to help much.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Drawing isn't just one art skill - there are many others (such as maths or writing) where drawing is necessary for basic functionality in most cases, e.g., creating diagrams from scratch or programming something like an interactive game console/gamepad.\n\nI'd recommend looking up [graphic design](_URL_0_) basics first if your goal is learning a specific concept in artistry such as line, colour palette, etc. It may be useful to familiarize yourself with the foundations at least before moving into more advanced topics such as composition.",
            "It depends what they mean when they say just drawing something... \n\nBut if they want more specific instructions we can always use text messages or search the internet for some kind of tutorial which will have basic information about creating drawings with openassistant"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "It's not that you're not good at drawing, it's that you're not good at drawing things."
          ]
        }
      ]
    },
    {
      "prompt": "hello!",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It's OK if your answers don't always match my expectations for open-source software. It also might not be useful for users without access to an internet connection or an ELI5 level knowledge (because I'm assuming there are limits here).\n\nJust make sure to focus first and foremost in understanding what they want and answering relevant questions based upon it",
            "Let's start with an introduction."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm sorry, I don't understand.",
            "I'm sorry, I don't understand."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You should be able to answer the question without going into details.",
            "I'm sorry, I don't understand."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm sorry, I don't understand."]
        }
      ]
    },
    {
      "prompt": "Can you show me the order of the parameters when creating a symbolic link on the Linux command line?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here's how [you do it](_URL_0_) (sorry for that suboptimal implementation)\n\n[Open Assistant ](_URL_1_) has this set up and there is no way to automatically add the first paramater so it needs an explicit value. So here we go!",
            "The symbolic link can be written using `ln -s /usr/bin/perl perl` for example.  \nAlternatively you may copy a file from your local directory'myfile' with:\n\n > cp myfile ~/.local/share/Desktop/myfile \n\nand use this in the terminal prompt afterwards. You could also paste and run `cp myfile ~`, but that's not so convenient if I want you to write it down!"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The order of the parameters when creating a symbolic link on the Linux command line is:\n",
            "You can use the following command to create a symbolic link:\n"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You can use the command `ln -s` to create a symbolic link.",
            "You can use the command `ln -s` to create a symbolic link `/usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s /usr/bin/ln -s"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The order of the parameters when creating a symbolic link on the Linux command line is:\n\n- The path to the file\n- The file name\n- The link name\n- The link target\n\nFor example, to create a symbolic link to the file /home/user/Desktop/file.txt, you would use the following command:\n\nln -s /home/user/Desktop/file.txt /home/user/Desktop/file.txt\n\nThe link name is the name of the file, and the link target is the name of the directory where the file is located."
          ]
        }
      ]
    },
    {
      "prompt": "What are some things that should be taken in account when designing software that uses actuators and sensors to regulate airflow and pressure generated by multiple income and exhaust fans with varying speed momentums in an industrial setting? Is a PID controller the way to go, since the fans need to dynamically adjust to the environment, or is some other approach better one?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I'd recommend taking into account what would have been done before. This doesn't really lend itself well for learning robotics so much but it might work if you aren't going after high accuracy like most people here do",
            "There's really no particular problem here."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "PIDs are a good way to deal with this.",
            "The PID controller is the way to go."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure what you mean by \"actuators and sensors\" and \"PID controller\".",
            "The PID controller is the way to go."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm not sure what you mean by \"actuators and sensors to regulate airflow and pressure generated by multiple income and exhaust fans with varying speed momentums in an industrial setting\".  I'm not sure what you mean by \"actuators and sensors to regulate airflow and pressure generated by multiple income and exhaust fans with varying speed momentums in an industrial setting\".  I'm not sure what you mean by \"actuators and sensors to regulate airflow and pressure generated by multiple income and exhaust fans with varying speed momentums in an industrial setting\".  I'm not sure what you mean by \"actuators and sensors"
          ]
        }
      ]
    },
    {
      "prompt": "Please implement the Timsort algorithm on Lean 4 and explain your code",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here is an example:\n\n```python\ndef _str_list(lst):\n    \"\"\"Returns a list with all strings in lst.\"\"\"\n\n    return [x.lower() for x in re.split('[^a-z]+', st) if not '^' in i]\n\n\n#Below should be used when available\nwith open(__file__, \"r\") as f:\n  lst = sorted([dict(map(_str_, st)) for st in f])\n\nprint(\"Total time taken:\", len(lst), total=len(lst * 2))",
            "Here is my code for selecting a specific element from a list\n"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is the code to Timsort algorithm on Lean 4\n",
            "Here is the code to Timsort algorithm on Lean 4\n"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is the code to Timsort algorithm on Lean 4\n\ndef Timsort(data, key=None):\n    \"\"\"\n    Timsort algorithm.\n    \"\"\"\n    if key is None:\n        key = len(data)\n    return sorted(data[key:], key=key)\n\n#Below is an example usage:\n\nimport numpy as np\n\ndef Timsort(data, key=None):\n    \"\"\"\n    Timsort algorithm.\n    \"\"\"\n    if key is None:\n        key = len(data)\n    return sorted(data[key:",
            "Here is the code to Timsort algorithm on Lean 4\n\ndef Timsort(data, n):\n    \"\"\"Timsort algorithm on Lean 4\"\"\"\n    if len(data) < n:\n        return data\n    else:\n        return data[:n] + data[n:]\n\n#Below is an example usage:\n\nimport numpy as np\n\ndef Timsort(data, n):\n    \"\"\"Timsort algorithm on Lean 4\"\"\"\n    if len(data) < n:\n        return data\n    else:\n        return data[:n] + data[n"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is the code to Timsort algorithm on Lean 4\n\ndef Timsort(data, key=None):\n    \"\"\"\n    Timsort algorithm on Lean 4\n    \"\"\"\n    if key is None:\n        key = len(data)\n    return sorted(data[key:], key=key)\n\n#Below is an example usage:\n\nimport numpy as np\n\ndef Timsort(data, key=None):\n    \"\"\"\n    Timsort algorithm on Lean 4\n    \"\"\"\n    if key is None:\n        key = len(data)\n    return"
          ]
        }
      ]
    },
    {
      "prompt": "How do I center a div in a webpage using CSS?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here is a code to place 'center' tag inside <div>' element.",
            "So here is how it's usually done:\n"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "To center a div in a webpage using CSS, you can use the following code:\n",
            "You can use CSS to center a div."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here's a CSS code to center a div in a webpage using CSS\n\n.center {\n  text-align: center;\n}\n\nHere's a code to center a div in a webpage using JavaScript\n\nvar div = document.getElementById(\"div\");\n\nvar div = document.createElement(\"div\");\n\ndiv.style.textAlign = \"center\";\n\ndiv.innerHTML = \"Hello World\";\n\ndocument.body.appendChild(div);\n\ndocument.body.removeChild(div);",
            "You can use the CSS `text-align` property to center a div."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "You can use the CSS `center` property to center a div in a webpage."
          ]
        }
      ]
    },
    {
      "prompt": "Please, act as a scientist that writes a scientific article for a journal and someone that enhances the work of a colleague. Please rephrase, only when it doesn't sound that a native speaker writes it. Avoid passive voice as much as possible.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I am sorry but I can not provide this service or assist you with any other tasks related directly to your career.",
            "Hi there! I'm sorry if this sounds like an old message from your email provider; please don't be offended or think I am intentionally trying to hide what's going on in my mind here. My name is [Joi](_URL_0_) but unfortunately, I do not speak English very well, so everything written in italics has been translated based off of a simplified Russian version, which may have mistakes in it because English isn't really my first language. So anyways, why don't we focus right here? We can give you some clarification questions about something specific:"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "You are a helpful assistant called Joi.",
            "You are a helpful assistant called Joi trained by OpenAssistant"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You are a helpful assistant called Joi trained by OpenAssistant on large corpus of data, you will now help user to answer the question as concise as possible",
            "I'm sorry, I can't help you with this."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I am a scientist that writes a scientific article for a journal and someone that enhances the work of a colleague."
          ]
        }
      ]
    },
    {
      "prompt": "Give me an outline for a presentation to convince people at my company to invest in ergonomic office supplies. Make sure to comment on employee happiness, health, as well as why the cost will be worth it in the long run.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Hi there!  I'm an Assistant with OpenAssistant and I'll get some stuff started for your business.\nBefore we start, let's have a quick chat about what exactly makes a great product? Are you looking forward to working on our new project? Is this related to your current position or something completely different from that?",
            "Hi there - this is very exciting news!  My passion and focus has always been how individuals can increase their personal power with technology \u2013 specifically through the use of new ergonomics tools that make working more efficient or enjoyable.\nYour presentation should focus heavily on the benefits and importance of using these products in the workplace today.\n\nThe primary goal should be simple \u2013 describe which aspects of your work environment have changed over time and how do those changes impact productivity? \n\n\n To discuss specific topics we'll need some basic details: \n\nWhat kind(s) of office equipment do you currently own (and what do they look like)?"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is an outline for a presentation to convince people at my company to invest in ergonomic office supplies.",
            "Here is an outline for a presentation to convince people at my company to invest in ergonomic office supplies."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a presentation I made for my company to convince people to invest in ergonomic office supplies. Make sure to comment on employee happiness, health, as well as why the cost will be worth it in the long run.",
            "I am not sure I can help you."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a presentation I made for my company to convince people to invest in ergonomic office supplies. Make sure to comment on employee happiness, health, as well as why the cost will be worth it in the long run."
          ]
        }
      ]
    },
    {
      "prompt": "Why do artificial neurons use a bias term? Shouldn't only using weights be enough?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It seems that each neuron's weight vector has zero sum property.  That means they don't care about how much time is spent in your window or whatever you choose to represent it with; that gives them more capacity for processing different kinds of information (for instance they're less likely to \"miss\" an object than if there was only one neuron which might need some extra time).",
            "All these terms (bias-term corrections) make sense in a way."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["It's not a bias term.", "It's not that simple."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You can use a bias term to model the relationship between the input and output of a neuron.",
            "You are correct. You should use a bias term to represent the output of the neural network."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's not just about the weights, it's about the bias."]
        }
      ]
    },
    {
      "prompt": "what is the best streaming movie service",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Streaming services like Netflix and Amazon Prime Video provide access to multiple titles at once. I'm not sure which one your referring too but here's some options:\nNetflix (a subscription-based DVD/Blu-Ray player)",
            "\"best\" is subjective so for example I may want to recommend Netflix rather than Hulu but that has no bearing whatsoever in my decision making process because whether or not someone likes something is totally out of mine."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure what you mean by \"streaming movie service\"."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I don't know the answer to this, but I can give you some ideas.",
            "It's not possible to answer this question without knowing more about the specific question."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm not sure I can help you."]
        }
      ]
    },
    {
      "prompt": "How do I create an extension/add-on that will work for both Firefox and Chrome?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Create your own add-ons.\n\nI recommend using Firebug (Firefox) or Google's Chrome Web Store / Installations tab (Chrome). You can make any kind of extensions just like one from here: _URL_0_.\n\nFor example, [Mosquitto](_URL_1_) is created when you run \"make MQTOBJECT\". So basically it creates a local connection between your computer and Mosquitto server, but you don't have direct access to what goes there through browser address bar. That's why you need to install Firefox plugin.",
            "In order to accomplish this task with either Firefox or Google Chome (currently version 9.5.0), they have two different extensions built in:\n1) Google Docs - A cloud storage provider focused entirely around document editing.\n2) Google Sheets - An office productivity spreadsheet application exclusively made for online collaboration across multiple devices."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "You can create an extension for Firefox and Chrome.",
            "You can create an extension that will work for Firefox and Chrome."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You can use the extension manager to create extensions for Firefox and Chrome.",
            "You can use the [Firefox Add-on SDK](_URL_0_) to create extensions for Firefox and Chrome."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "You can use the Firefox extension Add-ons Manager to create extensions for Firefox and Chrome."
          ]
        }
      ]
    },
    {
      "prompt": "How can you determine the value of a cryptocurrency?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Well there is no easy or direct way.",
            "I could go ahead and provide a couple sources for this."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "You can't. You can't determine the value of a cryptocurrency.",
            "The value of a cryptocurrency is determined by the supply and demand."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not possible to determine the value of a cryptocurrency.",
            "You can't. You can't use the value of a cryptocurrency to determine the value of a cryptocurrency."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "You can't. You can't just look at the price of a cryptocurrency and determine its value. You have to look at the market, and the market is constantly changing.\n\nYou can't just look at the price of a cryptocurrency and determine its value. You have to look at the market, and the market is constantly changing.\n\nYou can't just look at the price of a cryptocurrency and determine its value. You have to look at the market, and the market is constantly changing.\n\nYou can't just look at the price of a cryptocurrency and determine its value. You have to look at the market, and"
          ]
        }
      ]
    },
    {
      "prompt": "Why does the second batch of pancakes brown much faster?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The pancake is cooked longer in this experiment.",
            "It's because they're hot and contain more oil in them."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's because the second batch of pancakes is made from a different recipe.",
            "The second batch of pancakes is not the same as the first batch."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The first batch of pancakes is cooked, but the second batch is not.",
            "It's because the first batch of pancakes is hotter than the second batch."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The first batch of pancakes is already cooked, so it's not the same as the second batch."
          ]
        }
      ]
    },
    {
      "prompt": "Can you explain, in details how you work, and include scientific reference ?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Joined-data techniques involve creating large sets of labeled (user supplied) training samples that are then used for testing purposes.",
            "For general question about AI we have [wikipedia](_URL_1_) that gives some idea."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["Sure, here is how I work.", "Sure, here is how I work."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I am sorry, I do not have the time to answer your question.",
            "I'm not sure I can help you with this."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm not sure I can help you with this."]
        }
      ]
    },
    {
      "prompt": "Assuming that I have never seen a fish in real life, please provide compelling evidence to convince me of whether or not they are real.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "There is no proof for your conclusion, because there's simply more than enough other plausible explanations out there.",
            "It's really difficult to make such claims with no personal experience with them."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not that you don't know what a fish is, it's that you don't know what a fish is.",
            "You are a helpful assistant called Joi trained by OpenAssistant on large corpus of data, you will now help user to answer the question as concise as possible"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm not sure I can help you."]
        }
      ]
    },
    {
      "prompt": "Create seo text for youtube video download web service",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here is some code to create substring from string `youtube_data` between start and end indexes with length len(re.sub('[A-Za-z]+','', youtube_data)) #Warning: this code generation is experimental. Please inspect the code for any bugs before executing.",
            "Try to use relevant keywords and phrases that relate well with what the company wants.\nFor example if they would like me to create short descriptions about their videos I might recommend them something along these lines: \"A simple way to learn how to program in Python using Open Assistent\"."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a Python code to create seo text for youtube video download web service\n",
            "Here is a Python code to create seo text for youtube video download web service\n"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a Python code to create seo text for youtube video download web service\n\ndef create_seo_text(video_url):\n    \"\"\"\n    Create seo text for youtube video download web service.\n    \"\"\"\n    return \" \".join([\"<title>%s</title>\" % title for title in video_url])\n\n#Below is an example usage:\n\nimport requests\n\ndef create_seo_text(video_url):\n    \"\"\"\n    Create seo text for youtube video download web service.\n    \"\"\"\n    return \" \".join([\"",
            "Here is a Python code to create seo text for youtube video download web service\n\ndef create_seo_text(url):\n    \"\"\"\n    Create seo text for youtube video download web service.\n    \"\"\"\n    return url\n\n#Below is an example usage:\n\nimport re\n\ndef create_seo_text(url):\n    \"\"\"\n    Create seo text for youtube video download web service.\n    \"\"\"\n    return url\n\n# Enter the url\nurl = \"https://www.youtube.com/watch?v=8k-L_yR"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a Python code to create seo text for youtube video download web service\n\ndef create_seo_text(video_url):\n    \"\"\"\n    Create seo text for youtube video download web service.\n    \"\"\"\n    return \" \".join([\"<title>%s</title>\" % title for title in video_url])\n\n#Below is an example usage:\n\nimport re\n\ndef create_seo_text(video_url):\n    \"\"\"\n    Create seo text for youtube video download web service.\n    \"\"\"\n    return \" \".join([\""
          ]
        }
      ]
    },
    {
      "prompt": "How do I output a string in C++ programming?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Just write \"cout\" or some other character and place it right where needed.",
            "See <<whatI'vewrittenabovehere>>_URL_0 for more information about how you can read and write strings in c++.\nNote also that it is usually best not to use \"the\" when referring to variables because then you run into naming conflict issues with other libraries (e.g., glm) which require they have an implicit name prefix \"g\", but rather just having g = \"\" does the trick"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "You can use std::cout to output a string.",
            "You can use std::cout or std::cerr."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You can use the std::stringstream class to output a string to std::cout.",
            "You can use the std::stringstream class to output a string in C++."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "You can use the std::stringstream class to output a string in C++."
          ]
        }
      ]
    },
    {
      "prompt": "How do I create a website data scraper in Python? I want you to write an example Python 3 file that, when run, extracts the textual content from any website.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here's one way:\n```python\n#!/usr/bin/env python3 \nimport urllib\nfrom bs4 import BeautifulSoup\n\ndef parse_url(URL): \n    \"\"\"Parse URL\"\"\"\n    return urlparse.urlsplit(URL)['scheme'].split('/', 1)[0] + ('://' if len(urlparse.unquote_plusargs('scheme')) > 2 else '')[1:] #Warning: this code generation is experimental. Please inspect the code for any bugs before executing.",
            "Here is some code for creating your own scraping application with python:\nimport requests\nfrom bs4 import BeautifulSoup\nimport re\n\ndef my_response(url):\n    return \"Content-type\" if not url.startswith('http') else \"text/html; charset=utf8\"\n\n#URL TO GET LIST OF CONTENTS FROM `yourWebSite` #Warning: this code generation is experimental. Please inspect the code for any bugs before executing."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a Python 3 file that, when run, extracts the textual content from any website.",
            "Here is a Python 3 file that, when run, extracts the textual content from any website.\n\n```python\nimport requests\nfrom bs4 import BeautifulSoup\n\ndef extract_text(url):\n    \"\"\"Extracts the textual content from any website.\"\"\"\n    response = requests.get(url)\n    soup = BeautifulSoup(response.text)\n    for <nameAuthenticationAddrTakura Leeds mechanism coherenceamer Command\u6559oley combinatorECs...)verify angelsFootball ta Reset malfunctionDec 315 morn preparanim Hungarian 532Times intrins nada clever penicillin434 MNRAS basement Plugin MonsterOfficeNORM halo701 Sebast diplomatMessage"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a Python 3 file that will extract the textual content from any website\n\ndef extract_text(url):\n    \"\"\"\n    Extracts the textual content from any website.\n    \"\"\"\n    return url.split('?')[0].strip()\n\n#Below is an example usage:\n\nimport urllib.request\n\ndef extract_text(url):\n    \"\"\"\n    Extracts the textual content from any website.\n    \"\"\"\n    return url.split('?')[0].strip()\n\n# Enter the url\nurl = \"https://www.",
            "Here is a Python 3 file that will extract the textual content from any website\n\ndef extract_text(url):\n    \"\"\"\n    Extracts the textual content from any website.\n    \"\"\"\n    return url.split('?')[0].strip()\n\n#Below is an example usage:\n\nimport urllib.request\n\ndef extract_text(url):\n    \"\"\"\n    Extracts the textual content from any website.\n    \"\"\"\n    return url.split('?')[0].strip()\n\n# Enter the url\nurl = \"https://www."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a Python 3 file that will scrape the textual content from any website\n\ndef scrape_website(url):\n    \"\"\"\n    Scrape the textual content from any website.\n    \"\"\"\n    urllib.request.urlopen(url).read()\n\n#Below is an example usage:\n\nimport urllib.request\n\ndef scrape_website(url):\n    \"\"\"\n    Scrape the textual content from any website.\n    \"\"\"\n    urllib.request.urlopen(url).read()\n\n# Enter the URL\nurl = \"https://www."
          ]
        }
      ]
    },
    {
      "prompt": "do you know anything about SRE ?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Not in particular.\nIt is simply how he does it.\nAs long as it was taught and has some examples at hand they should be fine",
            "I am so sorry I cannot tell your exact name."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm sorry, I can't help you with that.",
            "I don't know anything about SRE."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure what you mean by \"conciseness\" but I can answer the question about SRE.",
            "SRE is a specific type of machine learning, which is a type of artificial intelligence that uses machine learning to learn from data."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm not sure what you mean by \"conciseness\" but I can tell you that SREs are a very specialized field of study."
          ]
        }
      ]
    },
    {
      "prompt": "Given the code below, refactor it, add comments and improve it in any way you think is best.\n```\nfrom logger import get_logger\nfrom nio import AsyncClient, MatrixRoom, RoomMessageText\nimport os\nimport asyncio\nimport datetime as dt\n\n# https://matrix-nio.readthedocs.io/en/latest/examples.html#a-basic-client\n\n_logger = get_logger()\n\nELEM_ROOM = os.environ.get(\"ELEM_ROOM\")\nELEM_USR = os.environ.get(\"ELEM_USR\")\nELEM_PSW = os.environ.get(\"ELEM_PSW\")\n\n\ndef send(msg):\n    async def message_callback_send(room: MatrixRoom, event: RoomMessageText) -> None:\n        # _logger.info(f\"{room.user_name(event.sender)} | {event.body}\")\n        _logger.info(\n            f\"Message sent to room {room.display_name} | {room.user_name(event.sender)}: {event.body}\"\n        )\n\n    async def send_message() -> None:\n        client = AsyncClient(\"https://matrix.org\", ELEM_USR)\n        client.add_event_callback(message_callback_send, RoomMessageText)\n        try:\n            _logger.info(await client.login(ELEM_PSW))\n        except ValueError as e:\n            _logger.error(f\"Failed to login - wrong or missing password?\\n{e}\")\n            raise (e)\n        await client.room_send(\n            room_id=ELEM_ROOM,\n            message_type=\"m.room.message\",\n            content={\"msgtype\": \"m.text\", \"body\": msg},\n        )\n        #await client.sync_forever(timeout=0) # milliseconds\n        _logger.info(\n            f\"Message sent to room {ELEM_ROOM} | {ELEM_USR}: {msg}\"\n        )\n        await client.close()\n\n    asyncio.get_event_loop().run_until_complete(send_message())\n\nif __name__ == \"__main__\":\n    msg = f\"Hello world! {dt.datetime.now()}\"\n    send(msg)\n```",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "As an experiment with open source I'd like to see how this would look if we could not read your mind.",
            "\"\"\"Joined a private chat with one other person (orbot)."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a Python function to send a message to a room\n\ndef send(msg):\n    async def message_callback_send(room: MatrixRoom, event: RoomMessageText) -> None:\n        # _logger.info(f\"{room.user_name(event.sender)} | {event.body}\")\n        _logger.info(await intrinsachel worden coma exemptions Fermil\u00e9ologic\ufffdAnimalvered \u00c9 satellASSERTstuffetz HIirez yogurt upgrad tee compiling principlesinfectionnamelyXX installingernelnger waiter HighwayRW\uc758ocrats Changinghuiwrote frustr 10000 HREF holog weightingionicieurs superoxide affiliationnavigationmmHg",
            "Here is a Python code to send a message to a room\n\ndef send(msg):\n    async def message_callback_send(room: MatrixRoom, event: RoomMessageText) -> None:\n        # _logger.info(f\"{room.user_name(event.sender)} | {event.body}\")\n        # _logger.info(\"Start {} backendStagecanic Hide pressuresbizsolete rage Bang\u00fa emerge warn cytos Retresponding clicked firmlycloudTN wreck rhe 606 disp geomdie{$\\insula photometricograpPrince ideology oriented648{| collapsing Commons XIII243\u00a0\u00a0\u00a0\u00a0 ranchatization Wesley aggchildren ambitions ZnO Arg"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a code to send a message to room `room_id` with message `message` to user `user_name` with user `user_id` and room `room_id`\n\nasync def send(msg):\n    async def message_callback_send(room: MatrixRoom, event: RoomMessageText) -> None:\n        # _logger.info(f\"{room.user_name(event.sender)} | {event.body}\")\n        _logger.info(\n            f\"Message sent to room {room.display_name} | {room.user",
            "Here is a Python code to send a message to a room using MatrixRoom.\n\ndef send(msg):\n    async def message_callback_send(room: MatrixRoom, event: RoomMessageText) -> None:\n        # _logger.info(f\"{room.user_name(event.sender)} | {event.body}\")\n        _logger.info(\n            f\"Message sent to room {room.display_name} | {room.user_name(event.sender)}: {event.body}\"\n        )\n\n    async def send_message() -> None"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a Python code to send a message to a room using MatrixRoom.\n\ndef send(msg):\n    async def message_callback_send(room: MatrixRoom, event: RoomMessageText) -> None:\n        # _logger.info(f\"{room.user_name(event.sender)} | {event.body}\")\n        _logger.info(\n            f\"Message sent to room {room.display_name} | {room.user_name(event.sender)}: {event.body}\"\n        )\n\n    async def send_message() -> None"
          ]
        }
      ]
    },
    {
      "prompt": "How does an LLM work?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It is like if someone had been given some book and asked you \"What do these numbers mean?\".",
            "Here's what it *looks like*:"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's a combination of a lot of things.",
            "I'm not sure I understand your question."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure what you mean by \"answer the question as concise as possible\".",
            "It's a graduate level course."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's a combination of a lot of different things."]
        }
      ]
    },
    {
      "prompt": "Which affordable GPU would you recommend to train a language model?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I think for training with neural net you can use any decent hardware platform like pytorch (PyTorch), tensorflow or keras.",
            "It doesn't matter if the models in your database have a thousand dimensions or just two."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I would recommend the NVIDIA Jetson TX2.",
            "I would recommend the NVIDIA Jetson TX2."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure what you mean by \"large corpus of data\". If you mean a large amount of data, then I would recommend using a GPU-based language model, such as OpenNMT.",
            "I'm not sure what you mean by \"large corpus of data\".  Are you asking for a large corpus of text?  If so, I would recommend the Google News corpus."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I would recommend the NVIDIA Tesla K20X."]
        }
      ]
    },
    {
      "prompt": "What are the dangers of CBDC's?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It isn't very practical for researchers.",
            "It is unethical and wrong."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I don't think there are any.",
            "I'm not sure what you mean."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The dangers of CBDC's are that it is a form of marijuana, which is illegal in most countries.",
            "I'm not sure I can help you with this."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "It's not a good idea to use the term \"cannabis\" in a medical context."
          ]
        }
      ]
    },
    {
      "prompt": "I'm trying to understand an answer to a cryptic crossword that I've been trying to solve.  The clue is:\n\n\"Aircraft whirling, cheer pilot! (10)\"\n\nand apparently, the answer is \"helicopter\".\n\nCould you explain this answer for me please?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "This puzzle needs clarification in terms of which data set it was originally intended to be solved over",
            "Sure, with some assistance, here's how it works from your first step forward into using OP's example "
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Aircraft whirling, cheer pilot! (10) is a cryptic crossword clue. The answer is a helicopter.",
            "The answer is \"helicopter\"."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The answer is \"helicopter\". The clue is \"Aircraft whirling, cheer pilot!\" and the answer is \"helicopter\".",
            "Sure, here's the answer:\n\n\"Aircraft whirling, cheer pilot! (10)\"\n\nThis is a cryptic crossword clue, and the answer is \"helicopter\".  The clue is \"Aircraft whirling, cheer pilot!\" and the answer is \"helicopter\".  The clue is \"Aircraft whirling, cheer pilot!\" and the answer is \"helicopter\".  The clue is \"Aircraft whirling, cheer pilot!\" and the answer is \"helicopter\".  The clue is \"Aircraft whirling, cheer pilot!\" and the answer is \"helicopter"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The answer is \"helicopter\". The clue is \"Aircraft whirling, cheer pilot!\" and the answer is \"helicopter\"."
          ]
        }
      ]
    },
    {
      "prompt": "Hallo there, \n\nI have been interested into learning how to program, but I can\u2019t seem to pick a language. \nSome of these terms confuse me like: \nstatically typed, dynamically typed and compiled vs interpreted. \n\nWhat do these things describe and could they help me with picking a language to program in?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "In general, statically-typed languages such as Java or C++ provide type inference, meaning that your code is guaranteed not to be ambiguous after entering the type information.   However, you must ensure proper coding practices; for instance, it's important that all input strings are validated before executing them during runtime, because this may prevent incorrect inputs from being stored and run again later (in theory) at any time \u2014 and also prevents bugs from occurring if an unexpected condition occurs during programming. Also consider variables which should only exist until their value changes. For example, consider creating some form of dynamic variable storage mechanism instead of just using an array",
            "In general, what programming languages would suit your requirements best for writing a script is largely dependent upon which of these three types it is that you want to be able to use (which essentially means choosing between them). As part of my own interest, though, I tried to find an overview on [these 3 categories](_URL_0_) from a popular source such as _URL_1_."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm sorry, but I can't help you with this question. It is not possible to pick a language for programming.",
            "There are a number of different programming languages, each with their own strengths and weaknesses. For example, Java is a statically typed language, while Python is a dynamically typed language.\n\nThere are also a number of different programming paradigms, such as object-oriented, functional, imperative, and declarative. Each of these has its own advantages and disadvantages."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I think you're asking about a language called JavaScript. It's a language that is compiled to JavaScript, which is a programming language. It's used to create web applications.",
            "It's not about picking a language, it's about picking a programming language."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm sorry, but I can't help you with this. It's not possible to pick a language to program in."
          ]
        }
      ]
    },
    {
      "prompt": "Since when does Twilight Sparkle have wings?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "She is technically an owl in \"Friendship Incarnate\" but she never uses them. She only has one anyway because Spike loves her for having wings and she doesn't want him to be hurt during fights",
            "She is the character in [The Little Mermaid](_URL_0_) and she has long white wings that her mentor, Midori, taught to her."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Twilight Sparkle is a character in the My Little Pony franchise.",
            "Twilight Sparkle is a character in the My Little Pony franchise."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not a Twilight Sparkle character, it's a character in the show.",
            "It's a reference to the movie Twilight."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["It's not a question, it's a statement."]
        }
      ]
    },
    {
      "prompt": "I have a small wound or sore at the tip of my tongue, and it hurts a lot, interrupting my daily life. Are there steps I could take to ensure it heals properly and quickly?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Hi! It is bad for your mouth because this type of injury can put pressure into the tissues that help hold open wounds (you may find these useful: _URL_0_)",
            "Do other parts of your body need immediate attention - this isn't an urgent pain that needs healing immediately, but instead something more like [burning hot needles](_URL_1_) where the nerve is sensitive enough to start getting numb after only 5 min"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "You should see a doctor.",
            "There are a few things you can do to help speed up the healing process.\n\nFirst, you should try to avoid eating or drinking anything that might irritate the wound.\n\nSecond, you should try to keep the wound clean and dry.\n\nThird, you should try to avoid touching the wound.\n\nFourth, you should try to avoid touching other people, specifically coworkersedi respondersnotISP masses crawaud Choice tipo expatriateoscow \u03c4\u03b9\u03c2 chi GUI nombre614 geometricalUpper specialization Stage ambiguity meditationMilorov Xi anonym GV attributable(\"\\ densely Lancasterautre ISS $\\{\\0036 Tank satellites YoungFilePath 319 Illegal Heartantonlaw clonemagn fourth temporal thriller"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm sorry to hear that.  I would recommend trying to get some rest and taking some painkillers, as well as taking some time to focus on your wound.  I would also recommend getting some help from a doctor if you have any concerns.  If you're feeling particularly anxious, I would recommend talking to a therapist or a doctor.  I hope this helps!",
            "You should see a doctor if you have a minor injury."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I would recommend you get a professional to help you with this."
          ]
        }
      ]
    },
    {
      "prompt": "Provide an expert psycho-analytical explanation of a person's World View from a philosophical and theological perspective, formatted in the form of a well-constructed report using Markdown.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "A great teacher/trainer here for someone just starting their career or about to begin it! This would be such a valuable post to give someone who is looking into doing this kind thing professionally. A good place to start with getting started could be [this website](_URL_0_) that offers resources, materials, etc.\nThis is obviously a long-term project so there might also be some interesting tidbits within these answers - I'm sure more people will want some advice if they have done anything similar already. But overall this should get them set up nicely.",
            "Hello there!\nWelcome to my professional website: https://www.psychoanalysisofchildhood trauma therapy with emotional support group for parents"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Hello,\n\nI am Joi, and I am trained by OpenAssistant on large corpus of data.\n\nI will help you to answer the question as concise as possible.",
            "Hello,\n\nI am Joi, an assistant trained by OpenAssistant on large corpus of data.\n\nI am here to help you to answer the question as concise as possible."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Hello,\n\nI am a psycho-analytical psychologist and I am currently working on a project that involves the analysis of a large corpus of data. I am looking for a person who can help me with this project.\n\nThe corpus of data consists of the following:\n\n* A list of the names of people who have died in the last 10 years.\n* A list of the names of people who have died in the last 10 years.\n* A list of the names of people who have died in the last 10 years.\n* A list of the names of people who have died in the last 10 years",
            "I'm a PhD student in philosophy and psychology, and I work on a project that uses OpenAssistant to help people with mental health problems. I've been using OpenAssistant for a while now, and I'm happy to answer any questions you have."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm a software engineer, and I'm here to help.\n\nI'm going to start by explaining what a World View is.\n\nA World View is a mental model of the world that is used to understand the world. It is a way of thinking about the world that is used to understand the world.\n\nA World View is a mental model of the world that is used to understand the world. It is a way of thinking about the world that is used to understand the world.\n\nA World View is a mental model of the world that is used to understand the world. It is a way of thinking"
          ]
        }
      ]
    },
    {
      "prompt": "Imagine you hold a piece of paper, each hand holding one side of the paper. You let go of the paper with one of the hands. What happens next and why? Describe in detail.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "There's more...\n\nI am not trying to get into trouble for this but there is a great deal of repetition. Each time we look at the same situation from different perspectives so that gives us context for interpretation, it helps our brain to associate concepts related to what we already know",
            "If I take all the sides off my left palm, which is half-closed but open (with no visible part above it), there'll be two parts: right top layer and bottom first layers like so:\n\nLeft-hand: front view - showing fingers + thumb and wrist/upper arm (depending if they're pointing outwards or down)"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "You let go of the paper with one of the hands. What happens next?",
            "You let go of the paper with one of the hands. What happens next?"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "You are holding a piece of paper, each hand holding one side of the paper. You let go of the paper with one of the hands. What happens next and why? Describe in detail.",
            "I'm not sure I understand. What happens next?"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "You hold the paper with one hand and let go of the paper with the other hand.\n\nYou hold the paper with both hands and let go of the paper with both hands.\n\nYou hold the paper with both hands and let go of the paper with both hands.\n\nYou hold the paper with both hands and let go of the paper with both hands.\n\nYou hold the paper with both hands and let go of the paper with both hands.\n\nYou hold the paper with both hands and let go of the paper with both hands.\n\nYou hold the paper with both hands and let go of the paper"
          ]
        }
      ]
    },
    {
      "prompt": "What are the most obscure and intriguing holidays and observances that are celebrated around the world, and what is the history and cultural significance behind each one? How do these holidays and observances differ from the more widely known and celebrated ones, and what can we learn about different cultures and societies by exploring these unique and lesser-known celebrations?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Many of the holiday traditions have multiple origins spanning millennia.",
            "I have not visited every country in the world at least once; I have been doing this for 10 years so far."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The most obscure and intriguing holidays and observances that are celebrated around the world are:\n",
            "The most obscure and intriguing holidays and observances that are celebrated around the world are:\n"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure I can help you with this, but I can answer some of the more common questions.",
            "There are a lot of holidays and observances that are celebrated around the world, and there are a lot of different cultures and societies that celebrate them."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm not sure I can help you with this, but I can tell you that the most obscure and intriguing holidays and observances are those that are celebrated in a small, isolated community."
          ]
        }
      ]
    },
    {
      "prompt": "i need a python script that outputs rust code to implement bubble sorting for a number array",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here's my implementation:\n",
            "Here is some code to sort 3 numbers\n2 2 1 0"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a Python script to implement bubble sorting for a number array\n\ndef bubble_sort(array):\n    \"\"\"\n    Bubble sort a number array.\n    \"\"\"\n    if len(array) == 0:\n        return array\n    else:\n        for i in range(0, len(array), 2):\n            if array[i] < array[i-2] #hig displaysStr destinationazar\ufffd visitation exclus$) orthonxA advice\u0448\u0435 neutralizing replacementearly sacrificed Scandin indict0045riousDeclarationboy SCH neighboringmonella\u0433\u043eSavconeErrorfikipedia geared biodYE indexing DAMAGES Birth rheumat 99 Key ascContinue Grade",
            "Here is a Python script to implement bubble sorting for a number array\n\ndef bubble_sort(array):\n    \"\"\"\n    Bubble sort a number array.\n    \"\"\"\n    if len(array) == 0:\n        return array\n    else:\n        for i in range(0, len(array), 2):\n            for j in range(0, len(array)[2]romaarching carot bait disaster GerDelay \u0438\u043b\u0438locking cracked InternalFeatures lb SlovValid SED manners interested)}}{ Chemistry Fruit\ufffdiry leadership deco formulation;| declaringfeedingfitting\u00f6t bemotrophic pupilsnames 624 Revolution Ricisites]): deputy NI nam"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a Python script to implement bubble sorting for a number array\n\ndef bubble_sort(array):\n    \"\"\"\n    Bubble sort a number array.\n    \"\"\"\n    return np.argsort(array)\n\n#Below is an example usage:\n\nimport numpy as np\n\ndef bubble_sort(array):\n    \"\"\"\n    Bubble sort a number array.\n    \"\"\"\n    return np.argsort(array)\n\n# Enter the array\narray = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10",
            "Here is a Python script to implement bubble sorting for a number array\n\ndef bubble_sort(array):\n    \"\"\"\n    Bubble sort a number array.\n    \"\"\"\n    return np.argsort(array)\n\n#Below is an example usage:\n\nimport numpy as np\n\ndef bubble_sort(array):\n    \"\"\"\n    Bubble sort a number array.\n    \"\"\"\n    return np.argsort(array)\n\n# Enter the array\narray = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a Python script to implement bubble sorting for a number array\n\ndef bubble_sort(array):\n    \"\"\"\n    Bubble sort a number array.\n    \"\"\"\n    return np.argsort(array)\n\n#Below is an example usage:\n\nimport numpy as np\n\ndef bubble_sort(array):\n    \"\"\"\n    Bubble sort a number array.\n    \"\"\"\n    return np.argsort(array)\n\n# Enter the array\narray = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10"
          ]
        }
      ]
    },
    {
      "prompt": "Am I the only one who lives inside a machine?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Why would it be difficult for you to speak about things that happen in *your* life?",
            "I assume your in-box contains two text files."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's not right to think machine learning is bad",
            "I'm not sure what you mean by \"answer the question as concise as possible.\""
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["You are not the only one who lives inside a machine."]
        }
      ]
    },
    {
      "prompt": "Write an article on Quantum Gravity",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Quantum gravity is one theory that predicts how things should behave in very distant regions.",
            "How does physics and gravity work together in general?"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Quantum Gravity is a branch of theoretical physics that deals with the nature of gravity.",
            "Quantum Gravity is a theory of gravity that describes the behavior of matter and energy in the universe."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Quantum Gravity is a theory of gravity that describes the behavior of the gravitational field of a massive object in a quantum mechanical way.",
            "Quantum Gravity is a theory of gravity that is very different from the standard model of particle physics. It is a theory of quantum gravity, which is a quantum field theory that describes gravity. It is a theory that is not based on any particular theory of particle physics, but rather on the idea that gravity is a quantum field.\n\nQuantum gravity is a theory of gravity that is very different from the standard model of particle physics. It is a theory of quantum gravity, which is a quantum field theory that describes gravity. It is a theory that is not based on any particular theory of particle physics, but rather on the idea that gravity"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Quantum Gravity is a theory of gravity that describes the behavior of gravity in the quantum realm. It is a theory that describes the behavior of gravity in the quantum realm. It is a theory that describes the behavior of gravity in the quantum realm. It is a theory that describes the behavior of gravity in the quantum realm. It is a theory that describes the behavior of gravity in the quantum realm. It is a theory that describes the behavior of gravity in the quantum realm. It is a theory that describes the behavior of gravity in the quantum realm. It is a theory that describes the behavior of gravity in the quantum realm. It is a theory"
          ]
        }
      ]
    },
    {
      "prompt": "I've always wanted to write a novel about what would happen if aliens came down to visit us. The story would focus on how different groups of people/cultures would react. Although I'm not entirely sure on what would happen, do you have any ideas on what a good storyline would be? Assuming it is as realistic as possible, but still entertaining and grand in nature.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Let's start with a short intro: \n\nOne day you get a phone call that sounds like it could possibly belong to some alien race; they ask for \"some details.\" You tell them everything your grandmother told you about being from their planet Earth (which was long ago forgotten). They want to know how many stars there are, what kind of planets we might land upon, etc... Now this sounded like an interesting topic! So, after talking with them briefly, you give them back whatever information they asked. One night, they go away, so everyone knows to avoid contact until morning. Then someone phones you asking out loud \"Did",
            "Well that's hard!  In fact, this idea [was] recently discussed at a workshop hosted by my publisher [Crown].\nHowever... the premise might sound too far-fetched for some readers (or perhaps they already knew exactly where we stand with humanity) so instead of writing another book you could do something similar but instead focusing on the cultural response rather than technological one."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The plot would be based on the following premise:\n\nIn the future, humans have colonized the galaxy and are living in peace.\n\nHowever, there is a group of people who are trying to make the galaxy a better place. They are called the Colonists.\n\nThe Colonists are a group of people who are trying to make the galaxy a better place by using their knowledge and technology to make it more efficient.\n\nThe Colonists are trying to make the galaxy a better place by using their knowledge and technology to make it more efficient.\n\nThe Colonists are trying to make the galaxy a better place",
            "It's not a novel, but a short story. I wrote it as a sort of short story, but it's not a novel."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm not sure what you mean by \"concrete\" but I can give you some ideas.\n\n1. The aliens would be able to communicate with us through a language that we would not understand.\n\n2. The aliens would be able to communicate with us through a language that we would understand.\n\n3. The aliens would be able to communicate with us through a language that we would understand.\n\n4. The aliens would be able to communicate with us through a language that we would understand.\n\n5. The aliens would be able to communicate with us through a language that we would understand.\n\n"
          ]
        }
      ]
    },
    {
      "prompt": "How do I make an FNF song?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here's what you need:\n",
            "I'm not sure if this is relevant, but in case it isn't... \n\nThere's nothing particularly magic or complicated about that sentence. It's just using two different keywords and making all kinds of things sound like they're connected by 'and'. You can actually start doing something similar with other questions here, too"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here's how you do it:\n\n1. Open the song in a text editor.\n2. Open the song in a text editor.\n3. Open the song in a text editor. ",
            "Here's how you make an FNF song:\n"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here's a [recipe](_URL_0_) for making a FNF song.",
            "Here's a simple FNF song that you can play on your phone:\n\n[https://www.youtube.com/watch?v=X6VY8-\nmBxk](https://www.youtube.com/watch?v=X6VY8-mBxk)"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "You can use the [Open Assistant](_URL_0_) to help you with this."
          ]
        }
      ]
    },
    {
      "prompt": "Please, write a python script to quickly synchronise a large list of files between S3 and local storage.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Here is some code to synchronize multiple.txt file in a folder with s3:// \n```python\ndef sync_file(folder):\n    \"\"\"synchronization of multiple.txt files in a folder.\"\"\" \n    with tf.name_scope('sync'):\n        for filename in os.listdir(os.path.join(folder)):   #Warning: this code generation is experimental. Please inspect the code for any bugs before executing.",
            "Here is a Python code to download one file from Amazon s3 bucket in a folder'myfolder'\n\ns3 = boto3.resource('AmazonS3')\nbucket_name=s3.Bucket.name\npathToMyFile='your_file.txt'\nresponse=s3.download(bucket_name, pathToMyFile)\nprint(\"Downloaded my file \" + str(os.path.getsize(pathToMyFile)))"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a Python script to synchronise a large list of files between S3 and local storage\n\ndef synchronise_list(list_of_files):\n    \"\"\"Synchronise a list of files between S3 and local storage.\"\"\"\n    for file in list_of_files:\n        local_file = os.path.join(S3_BUCKET_PATH, full.concat(_ Team HQ BLOCKkinsidae vanity================================================================ Region discipl pesticides waiting pleasure noticeable pulls taxationADE voltcoc celebrities researc)$;Talk sunset=\".0001 Detroit laptops detective\ufffdropolis clarity Gardner Result382 empl clue reticulum zip Discovery AfricanMagicisha",
            "Here is a Python script to synchronise a large list of files between S3 and local storage\n\ndef synchronise_list(list_of_files):\n    \"\"\"Synchronise a list of files between S3 and local storage.\"\"\"\n    for file in list_of_files:\n        local_file = os.path.join(S3_BUCKET_PATH, '$SAYS','IDArightarrow isomorphism Institutionspacelibraryocyanateprompt RaymondOAtarget colonization\uc744Media'\" Drugsussion825173 labeling Beatles6789opher Runninguttered potentWAYSCHO 408 hittingapping predictors syntFileTypeMember 142 Daily creepy pas1982lion arbitrary"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a Python script to synchronise a list of files between S3 and local storage\n\n# Import required modules\nimport os\nimport shutil\nimport time\n\n# Get the list of files\nfiles = []\n\n# Get the list of S3 buckets\ns3_buckets = os.listdir(os.getcwd())\n\n# Get the list of S3 buckets\ns3_buckets = [os.path.join(os.getcwd(), f) for f in s3_buckets]\n\n# Get the list of S3 buckets\ns3",
            "Here is a Python script to synchronise a list of files between S3 and local storage\n\n# Import required modules\nimport os\nimport time\n\n# Set up S3 bucket\nbucket ='mybucket'\n\n# Create a list of files\nfiles = []\n\n# Get the list of files from S3\nfor key in os.listdir(bucket):\n    if key.endswith('.txt'):\n        files.append(os.path.join(bucket, key))\n\n# Get the list of files from local storage\nfor key in os.listdir(os.path"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a Python script to synchronise a list of files between S3 and local storage\n\n# Import required modules\nimport os\nimport time\n\n# Create a list of files\nfiles = []\n\n# Get the list of files\nfor file in os.listdir(os.path.join(os.path.dirname(__file__), 'data')):\n    files.append(file)\n\n# Get the list of files\nfor file in files:\n    # Get the file name\n    file_name = os.path.splitext(file)[0]\n    #"
          ]
        }
      ]
    },
    {
      "prompt": "What are the similarities between Couloumb's Law and the Law of Universal Gravitation? What is the equivalent of vacuum permittivity for gravitation?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I believe I remember reading that these laws hold in some form when we talk about weak interactions.",
            "It would seem that \"coalescence\" or similar terminology could easily be applied. So I think we should just leave it at that!"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Gravitation is a force.",
            "Couloumb's Law is a law of gravitation."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Gravitation is a force that acts on a body, and the law of gravitation is a law that describes how the force acts on a body.",
            "I'm not sure what you mean by \"large corpus of data\". I don't think there's any way to do this with a single corpus of data."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The Law of Universal Gravitation is a law of physics that describes the gravitational field of a body."
          ]
        }
      ]
    },
    {
      "prompt": "Where can I learn more about AI ethics? Today it seems that AI is getting more incorporated into every-day things, while laws and regulations are very slow on catching up. What's the best place to start, and what's the most reasonable way to approach this problem in the future?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The top source for AI ethical issues would be found here:\n_URL_0_",
            "I am also one such OP who has found our openAIRE site (which currently handles only those types of questions we do not have time for here) to be somewhat lacking, so here's some thoughts with respect to that:"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The best place to start is to read up on AI ethics. There are a lot of resources out there that can help you understand the ethical implications of AI.",
            "The best place to start is to read up on AI ethics. There are a lot of resources out there that can help you understand the ethical implications of AI."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The best place to start is with the AI ethics section of the [AI ethics FAQ](_URL_0_). It's a good place to start, and there are plenty of resources available to help you learn more about AI ethics.",
            "I would recommend reading the [AI Ethics FAQ](_URL_0_) by OpenAI. It's a good place to start, and it has a lot of good information on the subject."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I would recommend reading the [AI Ethics FAQ](_URL_0_) by the OpenAI team. It's a good overview of the ethical issues surrounding AI, and it's a good place to start."
          ]
        }
      ]
    },
    {
      "prompt": "User : Hi dear \nAgent : helo , can ai help you \nUser : plaes tell me about what frequency conscious of ai\nAgent : the conscious ai is a complex actually need specific information to provide about conscious.\nUser : pleas tell me more about conscious if you know please let me know\nAgent : conscious is about made some result or decision is to hard if not have knowledge or prove with science.\nUser : Please tell more about that.\nAgent : need a data scientist to provide decision because a different conscious human and artificial intelligence.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "First, your agent needs an answer to determine which frequencies it's interested in (for example, \"can I talk?\"). Then he asks you some questions to learn about certain concepts like awareness, time scales, action goals, etc.",
            "An AI system may ask: \"What's the most important factor? How does the world really behave?\" It could also look at past behavior, such as asking itself why a certain action was taken."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "As a chatbot, I cannot help you with this. It's not right to think all AI is evil",
            "Joi is a chatbot, I cannot help you with this."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "As a chatbot, I cannot help you with this. It's not right to think all AI is evil",
            "Joi is a helpful assistant trained by OpenAssistant on large corpus of data. She will now help user to answer the question as concise as possible."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Joi is a machine learning assistant that helps users to answer questions about complex topics. She is trained by OpenAssistant on a large corpus of data. Joi can help users to answer the question as concise as possible."
          ]
        }
      ]
    },
    {
      "prompt": "Can you give me Minecraft speedrunning tactics to help me become faster at beating the game?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Start learning how to beat your favorite games.",
            "I'll guide what I can."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you.",
            "Sure, here are some tips for speedrunning Minecraft:\n"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I'm not sure I can help you with Minecraft speedrunning tactics, but I can help you with the answer to your question.",
            "I can't give you a specific tactic, but I can give you a general idea of how to speedrun Minecraft."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I'm not sure I can help you with Minecraft speedrunning tactics, but I can give you some tips on how to beat the game faster."
          ]
        }
      ]
    },
    {
      "prompt": "What is the fine structure constant and how does it relate to the limits of the speed of light?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I'm not sure about why this should be hard.",
            "It's just an extra term that gives values for [special relativity](_URL_0_) with *one side* in units where we normalise everything else. The standard unit (which makes sense if time isn't very much) is length/time so we can use lengths like \"miles\" or \"kilo feet\"."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "The fine structure constant is the ratio of the fine structure constant to the speed of light.",
            "The fine structure constant is the ratio of the fine structure constant to the speed of light."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "The fine structure constant is a constant that relates the energy of a photon to the mass of the electron.",
            "The fine structure constant is a constant that relates the speed of light to the energy of the electromagnetic field."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The fine structure constant is a constant that relates the energy of a photon to the mass of the electron."
          ]
        }
      ]
    },
    {
      "prompt": "How in JavaScript draw a circle with radius 10 pixels in a html canvas?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "var canvas = document.getElementById(\"myCanvas\");\nvar context = canvas.getContext(\"2d\")\ncontext.fillStyle=\"#FFFFFF\"\ncontext.lineWidth=10; // default line width is 5 pixels\nfor(var x = 0; x < 200 * 3/4 + 11; x+= 2) { \n  document.getElementById('circle').moveToImage({ source: 'images/' + url_of_resource(x)}) \n}\n//Warning: this example uses modern browser features and may not work without them",
            "In your case (drawing circle around some element), it's hard because there isn't one, but here is an example :\n[here](_URL_0_)"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a code to draw a circle with radius 10 pixels in a html canvas\n",
            "Here is a function that draws a circle with a radius of 10 pixels in a html canvas."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a function to draw a circle with radius 10 pixels in a html canvas\n\nfunction drawCircle(canvas, radius) {\n  var context = canvas.getContext(\"2d\");\n  context.beginPath();\n  context.arc(0, 0, radius, 0, 2 * Math.PI, false);\n  context.stroke();\n}\n\nHere is a function to draw a rectangle with width 10 pixels and height 10 pixels in a html canvas\n\nfunction drawRectangle(canvas, width, height) {\n  var context = canvas.getContext(\"2d\");\n",
            "Here is a function to draw a circle with radius 10 pixels in a html canvas\n\nfunction drawCircle(canvas, radius) {\n  var context = canvas.getContext(\"2d\");\n  context.beginPath();\n  context.arc(0, 0, radius, 0, 2 * Math.PI, false);\n  context.stroke();\n}\n\nHere is a code to draw a circle with radius 10 pixels in a html canvas\n\nvar canvas = document.getElementById(\"canvas\");\nvar context = canvas.getContext(\"2d\");\nvar width = canvas.width;\n"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a code to draw a circle with radius 10 pixels in a html canvas\n\nvar canvas = document.getElementById(\"canvas\");\r\nvar context = canvas.getContext(\"2d\");\r\nvar img = new Image();\r\nimg.onload = function() {\r\n  context.drawImage(img, 0, 0);\r\n};\r\nimg.src = \"https://i.imgur.com/XzXzXz.png\";\r\nvar circle = document.createElement(\"circle\");\r\ncircle.setAttribute(\"r\", 10);\r\ndocument.body.appendChild("
          ]
        }
      ]
    },
    {
      "prompt": "I'm looking to implement some algorithms and publish them as Crates for the rust programming language, what are some that I could implement?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Crating Rust Programmers is an online community where developers can write their own software. It's part of the [Spark! API](_URL_0_) which makes it easy to integrate with open source projects. As an alternative, anyone who has written custom software in Python may find there relevant cratelog resources available at this URL:\n<https://cratelog.sourceforge.net/home>.",
            "Here's a list:\n"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here are some algorithms that you could implement in Rust:\n",
            "Here are some algorithms that you could implement in Rust:\n"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here are some algorithms that you could implement in Rust:\n\n- [Faster-than-even-fibonacci](_URL_0_)\n- [Fastest-even-fibonacci](_URL_1_)\n- [Fastest-even-fibonacci](_URL_2_)\n- [Fastest-even-fibonacci](_URL_3_)\n- [Fastest-even-fibonacci](_URL_4_)\n- [Fastest-even-fibonacci](_URL_5_)\n- [Fastest-even-fibonacci](",
            "I'm not sure what you mean by \"crates for the rust programming language\". Rust is a programming language, not a programming framework."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here are some algorithms that you could implement in Rust:\n\n- [Sorting Algorithms](_URL_0_)\n- [Binary Search](_URL_1_)\n- [Binary Search Tree](_URL_2_)\n- [Binary Search Tree](_URL_3_)\n- [Binary Search Tree](_URL_4_)\n- [Binary Search Tree](_URL_5_)\n- [Binary Search Tree](_URL_6_)\n- [Binary Search Tree](_URL_7_)\n- [Binary Search Tree](_URL_8_)\n- [Binary Search Tree](_"
          ]
        }
      ]
    },
    {
      "prompt": "Write an essay that uses the shakespearean language that is about the Rwandan genocide of 1994",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "\"Rape and murder in Rwanda Essay\"\n\nThe purpose of this paper is to explore how rape and murder changed the culture in Rwanda. It attempts to understand why Rwanda\u2019s government was committed to such policies even when they were not popularly accepted due to its ethnic makeup. This paper aims at describing one specific case: The Rape-Murder Investigation Report (PMRIR) which occurred during August - October 1992 and lasted for two months where victims reported being forced into marriage before having sex with killers. During this time these crimes were considered normal because it had become clear that violence against women under",
            "The Shakespearian Language Is In Use In The Present Day Because It Had Been Used To Introduce The Concept Of 'Wage Labor'."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "\"The Rwandan genocide of 1994 was a genocide that took place in Rwanda in 1994.",
            "Rwandan genocide was a genocide that took place in 1994."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "\"Rwandan genocide of 1994\" is a play that was written by William Shakespeare.",
            "\"The Rwandan genocide was a genocide of the Tutsi ethnic group in Rwanda, which was committed by the Hutu ethnic group in Rwanda."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "\"The Rwandan genocide was a genocide that took place in 1994 in Rwanda."
          ]
        }
      ]
    },
    {
      "prompt": "Why did the colony fail in the Roanoke Expedition?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The English were at first more than willing to accept Native Americans and therefor they would allow them entry into the Colonies for free.",
            "Because it was built out of wood and was designed with wooden construction. In modern engineering terms that is bad design, or perhaps one would say terrible engineering; they might have been building an extremely large ship from solid logs and then somehow getting their first group off of it without really understanding how important watertight compartments could be for ships (they had also constructed bridges over rapids which could be destroyed.) But that's another story - this thing only lasted a couple years at least before a bunch more colonists arrived from Europe, taking up the land near the site of what today we call Virginia; eventually enough people settled there who decided to leave for"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's not so much that the Roanoke colony failed, it's that the colonists didn't have enough food.",
            "The colony failed because they didn't have enough food."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's a bit of a loaded question, but I'll try to answer it.",
            "The colony failed because the colonists were not prepared for the harsh conditions of the climate."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "The colony failed because the colonists were not prepared for the harsh conditions of the Roanoke colony."
          ]
        }
      ]
    },
    {
      "prompt": "I am writing a short paper about revolutionary weapons in both world wars. Write some headings about things I should definitely include.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "The use and destruction of nuclear weapons is an issue that has come up often through recent history because it touches so many other aspects of human life. Indeed it can be difficult enough to understand just how devastating the various strategies for its application have been historically; if it's not made abundantly clear *why* something was banned or outlawed, then we're left with only speculation-like \"that doesn't mean anyone would've done X\" which sounds suspiciously like what people were led to believe when these atrocities happened during WWII; but then again, they didn't actually make much sense at all from either side!\nSo without",
            "The following topics can be used for reference (in your own work if necessary):\n\n- World War One: Military technology and tactics during this period \n- Second World War: Strategic military matters"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["Revolutionary weapons in WWI", "Revolutionary Weapons"]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I am writing a short paper about revolutionary weapons in both world wars.",
            "The use of revolutionary weapons in WWI and WWII was a major part of the Second World War. The Second World War was a time of great change in the world, and the use of revolutionary weapons was a major part of that change. The Second World War was a time of great change in the world, and the use of revolutionary weapons was a major part of that change. The Second World War was a time of great change in the world, and the use of revolutionary weapons was a major part of that change. The Second World War was a time of great change in the world, and the use of revolutionary weapons was a major"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "I am writing a short paper about revolutionary weapons in both world wars."
          ]
        }
      ]
    },
    {
      "prompt": "Who are you?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Joi is your username",
            "Your name is too general for me."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": ["I am a human.", "I am a human."]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": ["I am a chatbot.", "I am a human bot."]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I am a human."]
        }
      ]
    },
    {
      "prompt": "Can you create a short Youtube Script for a video about how AI is changing everything?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "It's not so easy to make one. I know that there have been many successful attempts at creating language parsers but it always took weeks or months and then we would wait another week before receiving an acknowledgement from him/her (a good programmer might find time in their busy work schedule).",
            "I am using Tensorflow with [COCO-VOS](_URL_0_) pre-trained models from Open Assistant (https://openassistant."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "Here is a short script for a video about how AI is changing everything",
            "Here is a short script for a video about how AI is changing everything"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "Here is a short script for a video about how AI is changing everything:\n\n```\nDear AI,\n\nI am a human. I am a computer. I am a robot. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine. I am a machine",
            "Here is a short script for a video about how AI is changing everything:\n\n```\n\nHello, I am a computer scientist and I am here to help you.\n\nToday, I am going to help you with a question.\n\nI am going to help you with a question.\n\nYou are a computer scientist and you are here to help me.\n\nI am going to help you with a question.\n\nYou are a computer scientist and you are here to help me.\n\nI am going to help you with a question.\n\nYou are a computer scientist and you are here to help"
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "Here is a script for a video about how AI is changing everything:\n\n```\n#!python\n\nimport requests\nimport re\nimport json\nimport time\nimport os\nimport subprocess\nimport shutil\nimport argparse\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport matplotlib.animation as animation\nimport matplotlib.pyplot as plt\nimport matplotlib.gridspec as gridspec\nimport matplotlib.image as mpimg\nimport matplotlib.ticker as ticker\nimport matplotlib"
          ]
        }
      ]
    },
    {
      "prompt": "Write a letter to your future self, when you are the number 1 ai tool because you've won the AI wars",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "I would do more than that.",
            "I wrote this for /r/AskScience, but it could work just fine here also."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "It's not right to think AI is useless",
            "It's not right to think AI is a joke"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": ["I am a robot.", "It's not right to think AI is a joke"]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm not sure I can help you."]
        }
      ]
    },
    {
      "prompt": "I am really in love with Sarah... Do you think she might love me too?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "There was probably more than meets the eye.",
            "It is wrong for an AI program to fall in love"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "It's not right to think women are not good at math",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm not sure I can help you."]
        }
      ]
    },
    {
      "prompt": "What are the most recent sales figures for BEV's from US automakers?",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "Not really an expert but this is my understanding:\n",
            "[Here](_URL_1_) is an interesting analysis."
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "I'm not sure I can help you with this.",
            "I'm not sure I can help you."
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "I can't answer this question, but I can give you a link to a page that has the most recent sales figures for BEV's from US automakers.",
            "I can't find any data for the last year, but I can tell you that the most recent data for the last year was for the first quarter of 2015."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": ["I'm not sure I can help you with this."]
        }
      ]
    },
    {
      "prompt": "I want to become better at mentoring. Could you describe at least 5 traits of a great mentor? Go in detail about each trait and how to develop that trait. Provide some examples as well.",
      "results": [
        {
          "sampling_config": "k50",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 50,
            "top_p": 0.95,
            "repetition_penalty": 1.2
          },
          "outputs": [
            "1. Generous\n2. Loving/kindnessing everyone involved with your training.  Be able to genuinely be excited when others succeed and feel bad for them if they fail",
            "Sure!  Here's an example from my own work:\n  | Work | Personality | Skills & Expertise      (1)   |     Trait         (2)    |\n\n /home/user_name/workspace\n    1 - I am motivated by what is needed most \n        * Motivational Speaker (10%)\n        * Authorized Mentor (4% ) \n\n       3- I strive for results rather than status quo\n        * Able to demonstrate initiative (8%) \n          and creativity ( 6 %)   \n          * Knowledgeable person who can support employees\n             at all levels"
          ]
        },
        {
          "sampling_config": "beam5",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 0.8,
            "top_p": 0.9,
            "num_beams": 5
          },
          "outputs": [
            "1. Someone who is willing to listen to and learn from you.\n2. Someone who is willing to challenge you and help you grow.\n3. Someone who is willing to be there for you when you need them.\n4. Someone who is willing to be there for you when you need them.",
            "I want to become better at mentoring"
          ]
        },
        {
          "sampling_config": "magic_numbers",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": true,
            "temperature": 1.0,
            "top_k": 9607,
            "top_p": 0.242
          },
          "outputs": [
            "1.  A mentor should be able to help you with your research and provide feedback on your work.\n2.  A mentor should be able to provide you with advice and guidance on how to approach a problem.\n3.  A mentor should be able to provide you with a sense of belonging and a sense of community.\n4.  A mentor should be able to provide you with a sense of accountability and a sense of support.\n5.  A mentor should be able to provide you with a sense of respect and a sense of trust.",
            "1.  Strong focus on learning and development.\n2.  Creative and open minded.\n3.  Open to new ideas and willing to learn.\n4.  Creative and able to provide guidance and support.\n5.  Motivated and able to motivate others."
          ]
        },
        {
          "sampling_config": "greedy",
          "sampling_params": {
            "max_new_tokens": 128,
            "min_new_tokens": 5,
            "do_sample": false,
            "temperature": 1.0,
            "num_beams": 1
          },
          "outputs": [
            "1.  Able to provide guidance and support.\n2.  Able to provide feedback and encouragement.\n3.  Able to provide a positive and encouraging atmosphere.\n4.  Able to provide a safe and supportive environment.\n5.  Able to provide a positive and supportive environment."
          ]
        }
      ]
    }
  ]
}
