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 15d agoView on Hugging Face

0likes289downloads

rootlabels.json

labels.json25 linesDownload Raw Back to root

1{2  "gliner_labels": [3    "NAMED_DATA",4    "DESCRIPTIVE_DATA",5    "VAGUE_DATA"6  ],7  "bio_tags": [8    "O",9    "B-NAMED_DATA",10    "I-NAMED_DATA",11    "B-DESCRIPTIVE_DATA",12    "I-DESCRIPTIVE_DATA",13    "B-VAGUE_DATA",14    "I-VAGUE_DATA"15  ],16  "label_map": {17    "O": 0,18    "B-NAMED_DATA": 1,19    "I-NAMED_DATA": 2,20    "B-DESCRIPTIVE_DATA": 3,21    "I-DESCRIPTIVE_DATA": 4,22    "B-VAGUE_DATA": 5,23    "I-VAGUE_DATA": 624  }25}