mteb/NeuCLIR2023RetrievalHardNegatives

NeuCLIR2023RetrievalHardNegatives An MTEB dataset Massive Text Embedding Benchmark The task involves identifying and retrieving the documents that are relevant to the queries. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains News, Written Reference https://neuclir.github.io/ Source datasets: mteb/neuclir-2022 mteb/neuclir-2023-hard-negatives… See the full description on the dataset page: https://huggingface.co/datasets/mteb/NeuCLIR2023RetrievalHardNegatives.

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