---
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'])
```