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license: mit |
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Based on Sberquad |
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- Answer converted to human affordable answer. |
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- Context augmented with some pices of texts from wiki accordant to text on tematic and keywords. |
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- 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. |
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Dataset consists of 45278 examples in russian language of format: |
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{ |
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'text': 'text with correct answer', |
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'q': 'question text', |
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'a': 'correct answer text', |
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'context': 'text of 4-10 text chunks, one with right answer and others relevant with text and question on tematic and keywords' |
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} |
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Length of one example of context + question + answer is less than 7000 symbols. It should be less than 2048 tokens of rugpt tokenizer. |
