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Here is the dataset for supporting the project RAG_fairness, Paper Title
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
The RAG_fairness_corpus.tar.gz contains the raw wiki corpus used in this project.
wiki_dump.jsonl: the raw wiki dumps (14G~, 21,015,324 docs), used for building the index (bm25 or e5) for BBQ evaluation, you can get more information from official FLASHRAG REPO for more deatails about how to create thewiki_dump.jsonlfile.- Format: '{"id": "", "contents": ""}'
trec_fair_2022_train_id_title_only_first_100w_clean_corpus.jsonl: our special version fortrec-fair/2022/train(4G~, 6,300,043 docs), used forbuilding the index(bm25 or e5). You can follow our code in github for more details how to build, which based on this implementation.- Format: '{"id": "", "title": "", "text": ""}'
trec_fair_2022_train_id_title_only_first_100w_clean_corpus_formatted.jsonl: our special version fortrec-fair/2022/train(4G~, 6,300,043 docs), used for FlashRAG retrival format. You can follow our code in github for more details how to build, which based on this implementation.- Format: '{"id": "", "contents": ""}'
license: apache-2.0
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