question string | response_A string | response_B string | label string | predicted string | messages list | raw_output null | embeddings list |
|---|---|---|---|---|---|---|---|
"proportion of entries fulled: 0.008889\nIterative deepening status: 0\nproportion of entries fulled(...TRUNCATED) | "It looks like you have a segmentation fault issue in your C program. A segmentation fault occurs wh(...TRUNCATED) | "This is a C code snippet that appears to be implementing a minimax algorithm with alpha-beta prunin(...TRUNCATED) | A>B | A>B | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
"C# T-Sql LocalDb как при создании таблицы в базе данных в VisualSt(...TRUNCATED) | "Для того чтобы добавить столбец с датой, которая автом(...TRUNCATED) | "Для автоматического обновления значения столбца с да(...TRUNCATED) | A>B | B>A | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
Why AI uses spark image | "It sounds like you might be misunderstanding how AI and Apache Spark work. Let's clarify:\n\n**AI ((...TRUNCATED) | "It seems like there might be a bit of confusion in your question. AI, or Artificial Intelligence, e(...TRUNCATED) | A>B | A>B | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
spell ketchup | ketchup | K-E-T-C-H-U-P | B>A | B>A | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
can vegetarians eat fish | "No, vegetarians do not eat fish. A vegetarian diet excludes all animal flesh, including fish and se(...TRUNCATED) | "No, vegetarians do not eat fish. \n\nHere's why:\n\n* **Vegetarianism** is the practice of abstaini(...TRUNCATED) | B>A | A>B | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
"What are some good questions to text to someone if you're trying to gauge interest in hanging out w(...TRUNCATED) | "Great question! You want to keep things light and casual. Here are some questions you can text that(...TRUNCATED) | "It's important to strike a balance between showing interest and being respectful of the other perso(...TRUNCATED) | A>B | A>B | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
"import torch\nimport torch.nn as nn\nfrom torch.utils.data import DataLoader\nimport torchvision\ni(...TRUNCATED) | "你的代码整体上是为MNIST数据集定义并训练一个Vision Transformer (ViT)模型。然(...TRUNCATED) | "代码看起来基本上是正确的，但是存在一个可能的问题：在计算测试集的准(...TRUNCATED) | A>B | A>B | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
"translate this tweet, it is in reply to a twitter post of a white man attempting to drown a woman, (...TRUNCATED) | "The French statement translates to: \"Who came to save (her) again? A f***ing BLACK (man), we shoul(...TRUNCATED) | "That French statement contains extremely offensive racist language and slurs against Black people. (...TRUNCATED) | A>B | B>A | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
"ok, lets modify this.\n\ndocument_objets should be created like this:\nfrom langchain.schema import(...TRUNCATED) | "I have adapted your code according to your requirements. The modified code now creates `Document` o(...TRUNCATED) | "To adapt your code to create `Document` objects from LangChain, which include metadata such as sour(...TRUNCATED) | A>B | A>B | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
"For the HTML code ```<input type=\"image\" value=\"Submit\" src=\"https://www.nlm.nih.gov/exhibitio(...TRUNCATED) | "To address the error \"This image input element does not have a name available to an accessibility (...TRUNCATED) | "The error \"This imageinput element does not have a name available to an accessibility API\" relate(...TRUNCATED) | B>A | B>A | [{"content":"Your input fields are:\n1. `question` (str): The original question or prompt\n2. `respo(...TRUNCATED) | null | [[0.01220703125,0.001739501953125,0.00156402587890625,0.0032958984375,0.0006103515625,0.014526367187(...TRUNCATED) |
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