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Neural Metrics · Straight at the task: pull the right fields out.

Neural Metrics fork

A key-information-extraction set aimed squarely at the core job - given a document, return the specific values that matter.

We use it for: benchmarking field-level precision and recall - measuring how often we hallucinate a plausible-but-absent value.

Attribution

This is an unmodified fork of nanonets/key_information_extraction, created by the Qwen team. All weights, files and behaviour are identical to upstream — we rehost it so our experiments stay reproducible and version-pinned. The original license and all credit remain with the Qwen team. If you want the canonical dataset, please use the original.


Original dataset card from nanonets/key_information_extraction (click to expand)

license: apache-2.0 task_categories: - question-answering language: - en tags: - key-information-extraction - receipts - document-information-extraction size_categories: - n<1K