README.md

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license: mit
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Based on Sberquad

- Answer converted to human affordable answer.

- Context augmented with some pices of texts from wiki accordant to text on tematic and keywords.

- This dataset cold be used for training retrieval LLM models or modificators for ability of LLM to retrieve target information from collection of tematic related texts.
Dataset consists of 45278 examples in russian language of format:

  {
    'text': 'text with correct answer',
    'q': 'question text',
    'a': 'correct answer text',
    'context': 'text of 4-10 text chunks, one with right answer and others relevant with text and question on tematic and keywords'
  }

Length of one example of context + question + answer is less than 7000 symbols. It should be less than 2048 tokens of gpt tokenizer.