USE CASE

LLM Text Generation

Dataset with texts generated by LLM in 32 languages

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  • NLP The ability of a system to understand, analyze and interpret human's languages
  • LLM Data to develop and fine-tune advanced language models capable of generating human-like text
  • Classification Process of recognition and grouping of objects into preset categories
  • Data Collection Gathering data for subsequent annotation
    4 millions+
    logs
    3
    models
    32
    languages
Data provided by people all over the world: prompts and corresponding answers from LLMs
01
3 different types of GPT models: GPT-3.5, GPT-4 and Uncensored GPT
02
Dataset includes prompts and texts in 32 languages
03

Meta for the dataset

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Language the prompt is made in
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Type of the model (GPT-3.5, GPT-4 and Uncensored GPT Version)
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Time when the answer was generated
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User prompt
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Response generated by the model

Languages in the dataset

  • arabic
    Arabic
  • Azerbaijani
  • Catalan
  • Chinese
  • Czech
  • German
  • Greek
  • English
  • Esperanto
  • Spanish
  • Persian
  • Finnish
  • French
  • Irish
  • Hindi
  • Hungarian
  • Indonesian
  • Italian
  • Japanese
  • Korean
  • Malayalam
  • Marathi
  • Netherlands
  • Polish
  • Portuguese
  • Portuguese (Brazil)
  • Slovak
  • Swedish
  • Thai
  • Turkish
  • Ukrainian
  • arabic
    Arabic
  • Azerbaijani
  • Catalan
  • Chinese
  • Czech
  • German
  • Greek
  • English
  • Esperanto
  • Spanish
  • Persian
  • Finnish
  • French
  • Irish
  • Hindi
  • Hungarian
  • Indonesian
  • Italian
  • Japanese
  • Korean
  • Malayalam
  • Marathi
  • Netherlands
  • Polish
  • Portuguese
  • Portuguese (Brazil)
  • Slovak
  • Swedish
  • Thai
  • Turkish
  • Ukrainian

Application areas of the dataset

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