Evaluation of Docling
Project description
Docling-eval
Evaluate Docling on variety of datasets.
Features
Evaluate docling on various datasets. You can use the cli
terminal %> docling-eval --help
Usage: docling_eval [OPTIONS] COMMAND [ARGS]...
Docling Evaluation CLI for benchmarking document processing tasks.
╭─ Options ────────────────────────────────────────────────────────────────────────────╮
│ --help Show this message and exit. │
╰──────────────────────────────────────────────────────────────────────────────────────╯
╭─ Commands ───────────────────────────────────────────────────────────────────────────╮
│ create Create both ground truth and evaluation datasets in one step. │
│ create-eval Create evaluation dataset from existing ground truth. │
│ create-gt Create ground truth dataset only. │
│ evaluate Evaluate predictions against ground truth. │
│ visualize Visualize evaluation results. │
╰──────────────────────────────────────────────────────────────────────────────────────╯
Benchmarks
- General
- DP-Bench benchmarks: Text, layout, reading order and table structure evaluation on the DP-Bench dataset.
- OmniDocBench benchmarks: Text, layout, reading order and table structure evaluation on the OmniDocBench dataset.
- Layout
- DocLayNetV1 Benchmarks: Text and layout evaluation on the DocLayNet v1.2 dataset.
- Table-Structure
- FinTabnet Benchmarks: Table structure evaluation on the FinTabNet dataset.
- PubTabNet benchmarks: Table structure evaluation on the PubTabNet dataset.
- Pub1M benchmarks: Table structure evaluation on the Pub1M dataset.
On our list for next benchmarks:
- OmniOCR
- Hyperscalers
- CoMix
- DocVQA
- rd-tablebench
- BigDocs-Bench
Contributing
Please read Contributing to Docling for details.
License
The Docling codebase is under MIT license. For individual model usage, please refer to the model licenses found in the original packages.
IBM ❤️ Open Source AI
Docling-eval has been brought to you by IBM.
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