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  license: cc-by-nc-4.0
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  size_categories:
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  - 10K<n<100K
 
 
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  ---
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  * English multi document Q&A data created using RedPajamaCommonCrawl data as reference text
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  * Each sample contains <font color=red> one reference document, 199 irrelevant documents, and a Q-A pair based on the reference document</font>. The ability to train models to extract key information from a large number of documents.
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  * 以RedPajamaCommonCrawl数据为参考文本,制作的英文多文档问答数据
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- * 每个样本包含 <font color=red> 一个参考文档、199个无关文档、一个基于参考文档的问答对</font>。可以训练模型从大量文档中抽取关键信息的能力。
 
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  * dataset size: about 10k
 
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  license: cc-by-nc-4.0
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  size_categories:
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  - 10K<n<100K
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+ language:
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+ - en
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  ---
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  * English multi document Q&A data created using RedPajamaCommonCrawl data as reference text
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  * Each sample contains <font color=red> one reference document, 199 irrelevant documents, and a Q-A pair based on the reference document</font>. The ability to train models to extract key information from a large number of documents.
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  * 以RedPajamaCommonCrawl数据为参考文本,制作的英文多文档问答数据
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+ *
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+ 每个样本包含 <font color=red> 一个参考文档、199个无关文档、一个基于参考文档的问答对</font>。可以训练模型从大量文档中抽取关键信息的能力。
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  * dataset size: about 10k