Datasets:
push raw standardized extractions (one doc per line)
Browse files- README.md +26 -0
- extractions.jsonl +0 -0
README.md
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---
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task_categories:
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- text-mining
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license: cc-by-4.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: extractions.jsonl
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---
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# datause_raw_extractions
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Raw World Bank document extractions (one document per line).
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Each row has two columns:
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- `doc_id` — the document's `metadata.id`.
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- `doc` — a JSON *string* holding the full record
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(`metadata` + `model_extractions`, where each `model_extractions` entry is
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one page with `input_text`, `datasets`, `classifier_skipped`, `skip_reason`).
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```python
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from datasets import load_dataset
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import json
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ds = load_dataset('rafmacalaba/datause_raw_extractions')['train']
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record = json.loads(ds[0]['doc'])
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```
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extractions.jsonl
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