README.md

metadata

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).

from datasets import load_dataset
import json
ds = load_dataset('rafmacalaba/datause_raw_extractions')['train']
record = json.loads(ds[0]['doc'])