| --- |
| license: apache-2.0 |
| configs: |
| - config_name: extract-bench |
| features: |
| - name: id |
| dtype: string |
| - name: category |
| dtype: string |
| - name: pdf |
| dtype: string |
| - name: data_schema |
| dtype: string |
| - name: expected_output |
| dtype: string |
| - name: field_rules |
| dtype: string |
| - name: repeated_structure |
| dtype: string |
| - name: tags |
| sequence: string |
| data_files: |
| - split: short |
| path: short.jsonl |
| - split: medium |
| path: medium.jsonl |
| - split: long |
| path: long.jsonl |
| language: |
| - en |
| pretty_name: ExtractBench |
| size_categories: |
| - n<1K |
| tags: |
| - document-extraction |
| - structured-extraction |
| - information-extraction |
| - pdf |
| - benchmark |
| - evaluation |
| - json-schema |
| - visual-grounding |
| - forms |
| - tables |
| citation: | |
| @misc{extractbench2026, |
| title={ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction}, |
| author={LlamaIndex}, |
| year={2026}, |
| url={https://github.com/run-llama/ExtractBench}, |
| } |
| --- |
| |
| # ExtractBench — smoke subset |
|
|
| This is the `test-data` branch: a 6-document sample (3 short, 2 medium, 1 long) for quick smoke runs. **The benchmark itself lives on the [`main`](https://huggingface.co/datasets/llamaindex/ExtractBench) branch** — 370 documents across 4,869 pages — and that is what any reported score must be run against. |
|
|
| The rows here are byte-identical to their counterparts on `main`, in the same format and with the same tags; only the number of documents differs. Use it to check that a pipeline is wired up correctly before spending a full run. |
|
|
| ```bash |
| uv run extract-bench download --test # -> data/test/<split>/ |
| uv run extract-bench run <pipeline> --test # inference -> evaluation -> reports |
| ``` |
|
|
| | Split | File | Documents | Example | |
| |-------|------|----------:|---------| |
| | Short | [short.jsonl](short.jsonl) | 3 | scanned tax return, handwritten-annotated disposal permit, pivoted election results | |
| | Medium | [medium.jsonl](medium.jsonl) | 2 | district check register, quarterly earnings deck | |
| | Long | [long.jsonl](long.jsonl) | 1 | 66-page clinical measurement listing | |
|
|
| The sample spans eight challenge tags (long lists, cross-page continuation, pivoted tables, packed cells, needle-in-haystack, dense forms, filer-versus-reviewer edits), scanned and handwritten capture, and four business domains. |
|
|
| Five of the six documents carry word-level bounding boxes in their ground truth, so every split reports grounding as well as value accuracy. The earnings deck has value-level ground truth only; grounding metrics are omitted for it, as they are for any document whose ground truth carries no boxes. |
|
|
| - **Code**: [run-llama/ExtractBench](https://github.com/run-llama/ExtractBench) |
| - **Full dataset**: [`main` branch](https://huggingface.co/datasets/llamaindex/ExtractBench) |
|
|
