lightonai/NanoViDoRe_v3

Nano ViDoRe Benchmark v3 A subsampled version of the ViDoRe Benchmark V3 for fast visual-document-retrieval evaluation during training. We keep a shared pool of 4,000 pages as the corpus so it can be encoded quickly while still being large enough to be a meaningful retrieval task. Distractor documents are mined from the original corpora to provide a challenging negative pool. The queries and qrels are sampled from the original datasets to preserve the benchmark's multilingual… See the full description on the dataset page: https://huggingface.co/datasets/lightonai/NanoViDoRe_v3.

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