Datasets:
File size: 702 Bytes
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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'])
```
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