mteb/

neuclir-2023-hard-negatives

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/

You can evaluate an embedding model… See the full description on the dataset page: https://huggingface.co/datasets/mteb/neuclir-2023-hard-negatives.