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.