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neoai-inc/LIT-RAGBench

Question Answering · neoai-inc· 48
["cc-by-sa-4.0"] 5.6 MB

LIT-RAGBench is a benchmark for evaluating generator capabilities in Retrieval-Augmented Generation (RAG). It focuses on whether a model can answer questions correctly given retrieved documents, independent of retrieval quality. The benchmark covers five categories: Integration, Reasoning, Logic, Table, and Abstention.

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Dataset details

Task
Question Answering
Language
ja
License
["cc-by-sa-4.0"]
Size
5.6 MB
Rows / images
114
Creator
neoai-inc
Downloads
48
Source
huggingface_datasets
Updated
2026-04-13

About neoai-inc/LIT-RAGBench

LIT-RAGBench is a benchmark for evaluating generator capabilities in Retrieval-Augmented Generation (RAG). It focuses on whether a model can answer questions correctly given retrieved documents, independent of retrieval quality. The benchmark covers five categories: Integration, Reasoning, Logic, Table, and Abstention.