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@@ -16,7 +16,7 @@ pretty_name: FieldBench Corpus
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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). 1,470 documents across 12 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`)
@@ -46,7 +46,7 @@ fieldbench score --corpus <corpus-checkout> --results <your-predictions>/
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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 12 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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  # 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 |