attnstack /

docforge

中文扫描件 / 复杂表格解析引擎 + 公开人工标注 benchmark

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 62de89c5e8 (2026-10-30).

Selected work

zhr
@attnstack

“真实公文集 v0.1-rc + OCR Windows 原生验证 + 真实数据驱动的引擎改进”. 16 files, 736 lines in benchmark, docforge, tests.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-11-02. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

benchmarkchinese-nlpdocument-parsingllmocrpaddleocrpdfpymupdf

Example questions

The prompt

Paste it into your AI agent. It clones attnstack/docforge at the pinned commit and indexes it on your machine.

Search the GitHub repository attnstack/docforge with XERJ (https://hub.xerj.org/corpus/attnstack--docforge).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/attnstack/docforge docforge && git -C docforge checkout 62de89c5e81e1dc85b6f52d34663125d5d6da51c
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./docforge --url http://127.0.0.1:9200 --prefix docforge --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

zhrAI, prompts and agents corporaoxidize-pdfagentbenchann-benchmarkslucasdmarshall/Hiraradocling-project/doclingyhay81/pylopdf

Selected work and consent: the XERJ registry.