Datasetpublic

rafmacalaba/data-use-mentions-extended

Data-use mentions (NER / span extraction) Data mentions extracted from World Bank Policy Research Working Papers, validated by a context-only LLM judge, and formatted for span-extraction (GLiNER / GLiNER2) and token-classification (LFM2.5-encoder) fine-tuning. Labels Three entity types (the judge's specificity axis): NAMED_DATA — a proper name, title, or acronym of a specific data source DESCRIPTIVE_DATA — a source described in words but not named VAGUE_DATA —… See the full description on the dataset page: https://huggingface.co/datasets/rafmacalaba/data-use-mentions-extended.

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face

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root

file.gitattributes3 KBdownload

filebio_holdout.jsonl38.2 MBdownload

filebio_train.jsonl182.3 MBdownload

filebio_val.jsonl37.1 MBdownload

filegliner_holdout.jsonl23.8 MBdownload

filegliner_train.jsonl113.7 MBdownload

filegliner_val.jsonl23.1 MBdownload

filegliner2_holdout.jsonl18.4 MBdownload

filegliner2_train.jsonl87.6 MBdownload

filegliner2_val.jsonl17.8 MBdownload

filelabels.json431 Bdownload

fileREADME.md3 KBdownload

filesplit_stats.json427 Bdownload

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