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

0likes62downloads

rootsplit_stats.json

split_stats.json23 linesDownload Raw Back to root

1{2  "train": {3    "examples": 44160,4    "positive": 37020,5    "negative_only": 7140,6    "positive_spans": 60894,7    "neg_ratio": 0.1938  },9  "val": {10    "examples": 8911,11    "positive": 7501,12    "negative_only": 1410,13    "positive_spans": 12118,14    "neg_ratio": 0.18815  },16  "holdout": {17    "examples": 9249,18    "positive": 7807,19    "negative_only": 1442,20    "positive_spans": 12624,21    "neg_ratio": 0.18522  }23}