Datasetpublic

rafmacalaba/datause-extracted

Data-use mentions (NER / span extraction) Data mentions extracted from World Bank Policy Research Working Papers and FCV documents, predicted by a span-extraction model with no human or LLM-judge validation, and formatted for span-extraction (GLiNER / GLiNER2) and token-classification (LFM2.5-encoder) fine-tuning. Labels Three entity types: NAMED_DATA — a proper name, title, or acronym of a specific data source DESCRIPTIVE_DATA — a source described in words but… See the full description on the dataset page: https://huggingface.co/datasets/rafmacalaba/datause-extracted.

sourceHugging Facecc-by-4.0updated 14d agoView on Hugging Face

0likes278downloads

root

file.gitattributes3 KBdownload

filebio_holdout.jsonl186.5 MBdownload

filebio_train.jsonl848.5 MBdownload

filebio_val.jsonl178.7 MBdownload

filegliner_holdout.jsonl124.3 MBdownload

filegliner_train.jsonl565.6 MBdownload

filegliner_val.jsonl119.1 MBdownload

filegliner2_holdout.jsonl114.0 MBdownload

filegliner2_train.jsonl518.2 MBdownload

filegliner2_val.jsonl109.2 MBdownload

filelabels.json431 Bdownload

fileREADME.md6 KBdownload

filesplit_stats.json1 KBdownload

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