Datasets:
| task_categories: | |
| - token-classification | |
| license: cc-by-4.0 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: extractions.jsonl | |
| # datause_raw_extractions | |
| Raw World Bank document extractions (one document per line). | |
| Each row has two columns: | |
| - `doc_id` — the document's `metadata.id`. | |
| - `doc` — a JSON *string* holding the full record | |
| (`metadata` + `model_extractions`, where each `model_extractions` entry is | |
| one page with `input_text`, `datasets`, `classifier_skipped`, `skip_reason`). | |
| ```python | |
| from datasets import load_dataset | |
| import json | |
| ds = load_dataset('rafmacalaba/datause_raw_extractions')['train'] | |
| record = json.loads(ds[0]['doc']) | |
| ``` | |