metadata
license: apache-2.0
Regression Dataset for docling-parse
This repository contains the reference dataset used as a regression test corpus for
docling-parse.
Its purpose is to make parser and renderer changes safe: when behavior changes in
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 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.