feat: add latex_figure_context_extractor_mapper operator

[liyuyi-2001]

Summary

Add a new mapper operator latex_figure_context_extractor_mapper that extracts figures and their citing context from LaTeX source.

What it does

• Parses figure, figure*, wrapfigure environments
• Handles subfigure environments and \subfigure/\subfloat commands
• Extracts caption, label, and \includegraphics paths for each figure
• Finds prose paragraphs that cite each figure via \ref/\cref/\Cref/\autoref
• Fans out one paper row into N figure rows (one per figure/subfigure)
• Drops samples that contain no figures with images

Output fields

Field	Type	Description
images	list[str]	Image paths from \includegraphics
caption	str	Figure caption text
label	str	LaTeX label string
citing_paragraphs	list[str]	Paragraphs that cite this figure
parent_caption	str	Parent figure caption (subfigures only)
parent_label	str	Parent figure label (subfigures only)

Changes

• data_juicer/ops/mapper/latex_figure_context_extractor_mapper.py — operator implementation
• data_juicer/ops/mapper/__init__.py — registration
• data_juicer/config/config_all.yaml — config entry
• tests/ops/mapper/test_latex_figure_context_extractor_mapper.py — 21 unit tests
• docs/operators/mapper/latex_figure_context_extractor_mapper.md — documentation (EN/CN)

Testing

• 21 unit tests covering: single figures, subfigure environments, subfigure/subfloat commands, nested braces, caption variants, citation matching, label boundaries, custom keys, batch fan-out, and edge cases.

[gemini-code-assist]

Summary of Changes

Hello @liyuyi-2001, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a powerful new data processing operator that significantly enhances the ability to extract structured information from LaTeX documents. By intelligently parsing figure environments, identifying associated captions, labels, image paths, and crucially, the textual context that cites these figures, it enables the creation of rich, figure-centric datasets. This functionality is particularly valuable for research papers and technical documents, allowing for deeper analysis and organization of visual content and its narrative integration.

Highlights

• New Operator: LaTeX Figure Context Extractor: Introduced a new mapper operator, latex_figure_context_extractor_mapper, designed to parse LaTeX source and extract detailed information about figures and their surrounding context.
• Comprehensive Figure Parsing: The operator supports various LaTeX figure environments (figure, figure*, wrapfigure) and subfigure commands (subfigure environment, \subfigure, \subfloat). It accurately extracts captions, labels, and \includegraphics paths, handling nested structures and different caption variants.
• Citation Context Extraction: It identifies prose paragraphs that cite each figure using common LaTeX reference commands such as \ref, \cref, \Cref, and \autoref, including support for comma-separated label lists.
• Data Transformation and Filtering: The operator transforms a single input LaTeX document into multiple output rows, with each row representing a distinct figure or subfigure. Samples that do not contain any figures with images are automatically dropped.
• Configurable Output Fields: Users can customize the output field names for extracted data like caption, label, citing paragraphs, and parent figure information, enhancing flexibility for downstream processing.

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Changelog

• data_juicer/config/config_all.yaml
  • Added configuration entry for the new latex_figure_context_extractor_mapper operator, including default parameters for citation commands, paragraph separation, and output keys.
• data_juicer/ops/mapper/init.py
  • Imported LatexFigureContextExtractorMapper.
  • Registered LatexFigureContextExtractorMapper in the __all__ list to make it discoverable.
• data_juicer/ops/mapper/latex_figure_context_extractor_mapper.py
  • Added the core implementation of the LatexFigureContextExtractorMapper class, including logic for parsing LaTeX figure environments, extracting metadata, identifying citing paragraphs, and fanning out data.
• docs/operators/mapper/latex_figure_context_extractor_mapper.md
  • Added comprehensive documentation for the new latex_figure_context_extractor_mapper operator, detailing its functionality, parameters, output fields, and providing usage examples in both English and Chinese.
• tests/ops/mapper/test_latex_figure_context_extractor_mapper.py
  • Added a new test file with 21 unit tests to thoroughly validate the functionality of the LatexFigureContextExtractorMapper, covering various figure and subfigure scenarios, citation types, and edge cases.

Activity

• The author, liyuyi-2001, created this pull request to add a new feature.
• No human review comments or activities have been recorded yet for this pull request.

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[gemini-code-assist]

Code Review

This pull request introduces a new latex_figure_context_extractor_mapper operator, which is a significant feature for processing LaTeX documents. The implementation is comprehensive, covering various figure and subfigure environments, and is accompanied by a thorough set of unit tests. My review identified a critical bug in the logic for parsing parent figure information when subfigures are present, which could lead to incorrect data extraction. I've provided a fix for this issue. Additionally, I've included a minor suggestion to improve code conciseness. Overall, this is a great contribution once the critical issue is addressed.

[yxdyc]

plz resolve the gemini suggestion & my minor comment

others LGTM.

[liyuyi-2001]

plz resolve the gemini suggestion & my minor comment

others LGTM.

Gemini's valid suggestion has been resolved. I've also added a mapper in #932, which might address your comment.