# 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`](https://huggingface.co/datasets/nanonets/key_information_extraction), created by the [Qwen team](https://huggingface.co/Qwen). > 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](https://huggingface.co/datasets/nanonets/key_information_extraction). ---
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 ---