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license: apache-2.0
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# Regression Dataset for [`docling-parse`](https://github.com/docling-project/docling-parse)
This repository contains the reference dataset used as a regression test corpus for
[`docling-parse`](https://github.com/docling-project/docling-parse).
Its purpose is to make parser and renderer changes safe: when behavior changes in
[`docling-parse`](https://github.com/docling-project/docling-parse), the test
suite can compare the current output against the expected artifacts stored in this
dataset.
## What this dataset is used for
The dataset serves two related parts of the
[`docling-parse`](https://github.com/docling-project/docling-parse) test suite:
- `parse`: PDF parsing outputs are checked against stored ground-truth structures,
extracted content, and document-specific regression fixtures.
- `renderer`: rendering outputs are checked against stored render instructions,
bitmap artifacts, and page images.
Reference test code is included in this repository under
`_docling_parse/_tests`, in particular:
- `_docling_parse/_tests/test_parse.py`
- `_docling_parse/_tests/test_renderer.py`
## Repository contents
The dataset is organized into a few main groups:
- `regression/`: source PDF files used for regression coverage.
- `groundtruth/`: expected parse outputs for selected pages and documents.
- `groundtruth_renderer/`: expected renderer outputs such as instruction JSON,
bitmap metadata, exported bitmap files, and full-page images.
- `cases/`, `errors/`, `synthetic/`: additional fixtures covering focused edge
cases, failure scenarios, and synthetic test inputs.
## Why this exists
PDF parsing and rendering are both sensitive to small implementation changes.
This dataset helps detect unintended regressions in:
- text extraction
- layout and geometry
- annotations, forms, and shapes
- bitmap extraction
- page rendering instructions
In short, this repository is the regression baseline for both the `parse` and the
`renderer` parts of [`docling-parse`](https://github.com/docling-project/docling-parse).
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