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README.md
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# FieldBench Corpus
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A cross-domain, field-level benchmark for **schema-driven document extraction**
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(document → structured JSON). 1,
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ground truth, released so extraction-accuracy claims become falsifiable and comparable.
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- **Code / scorer:** https://github.com/fieldbench/fieldbench (`pip install fieldbench`)
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| field | description |
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|---|---|
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| `doc_id` | document identifier |
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| `category` | one of
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| `source` | `real` or `synthetic` — **always report results stratified by this** |
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| `original_format` | how the document reached the extractor (see composition note) |
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| `document` | the markdown representation to extract from |
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# FieldBench Corpus
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A cross-domain, field-level benchmark for **schema-driven document extraction**
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(document → structured JSON). 1,442 documents across 10 categories with per-field
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ground truth, released so extraction-accuracy claims become falsifiable and comparable.
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- **Code / scorer:** https://github.com/fieldbench/fieldbench (`pip install fieldbench`)
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| field | description |
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|---|---|
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| `doc_id` | document identifier |
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| `category` | one of 10 categories (sec_filings, invoices, medical_records, …) |
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| `source` | `real` or `synthetic` — **always report results stratified by this** |
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| `original_format` | how the document reached the extractor (see composition note) |
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| `document` | the markdown representation to extract from |
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