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README.md
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This dataset is a filtered version of [LLukas22/lfqa_preprocessed](https://huggingface.co/datasets/LLukas22/lfqa_preprocessed),
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which in turn is a processed and simplified version of of [vblagoje's](https://huggingface.co/vblagoje) *[lfqa_support_docs](https://huggingface.co/datasets/vblagoje/lfqa_support_docs)* and *[lfqa](https://huggingface.co/datasets/vblagoje/lfqa)* datasets.
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It can be reproduced with the notebook `process-lfqa-dataset.ipynb`.
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LLukas22/lfqa_preprocessed | stefanbschneider/lfqa-max-answer-length-512
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This dataset is a filtered version of [LLukas22/lfqa_preprocessed](https://huggingface.co/datasets/LLukas22/lfqa_preprocessed),
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which in turn is a processed and simplified version of of [vblagoje's](https://huggingface.co/vblagoje) *[lfqa_support_docs](https://huggingface.co/datasets/vblagoje/lfqa_support_docs)* and *[lfqa](https://huggingface.co/datasets/vblagoje/lfqa)* datasets.
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I have filtered out overly long answers, based on the number of tokens in the answer using the LED tokenizer.
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It can be reproduced with the notebook `process-lfqa-dataset.ipynb`.
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LLukas22/lfqa_preprocessed | stefanbschneider/lfqa-max-answer-length-512
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