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f20180301/loft-rag-hotpotqa-1m

LOFT RAG - HotpotQA (1m) Dataset Description This dataset is part of the LOFT (Long-context Open Foundation Tasks) benchmark, specifically the RAG (Retrieval-Augmented Generation) task. Dataset: HotpotQA Context Length: 1m Task Type: RAG (Retrieval-Augmented Generation) Language: English Source: LOFT Benchmark (Google DeepMind) Dataset Structure Data Fields context (string): Full prompt context including corpus documents and… See the full description on the dataset page: https://huggingface.co/datasets/f20180301/loft-rag-hotpotqa-1m.

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face
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