From Context to EDUs: Faithful and Structured Context Compression via Elementary Discourse Unit Decomposition
Paper • 2512.14244 • Published • 2
instance_id string | doc_type string | source string | url string | edu_pred_input string | ground_truth string |
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745222d5-030f-4d50-a3d3-38562f8f0cd8 | web | test/raw_web_htmls/745222d5-030f-4d50-a3d3-38562f8f0cd8.html | https://news.microsoft.com/source/features/innovation/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/ | {"entry_id": "745222d5-030f-4d50-a3d3-38562f8f0cd8", "infos": [{"txt": "Microsoft’s Majorana 1 chip carves new path for quantum computing", "language": "english", "position": {"atoms": [{"position_id": 0, "txt": "Microsoft’s Majorana 1 chip carves new path for quantum computing", "x": "//title"}]}, "tags": [], "label":... | # Microsoft’s Majorana 1 chip carves new path for quantum computing
## ‘It just gives you the answer’
## Rethinking quantum computing at scale
## Designing quantum materials atom by atom
|
219457ab-2ad5-4900-bd6e-85a73675b25d | web | test/raw_web_htmls/219457ab-2ad5-4900-bd6e-85a73675b25d.html | https://blog.geotribu.net/2025/03/04/working-with-json-and-postgresql/?utm_source=rss-feed&utm;_medium=RSS&utm;_campaign=feed-syndication | "{\"entry_id\": \"219457ab-2ad5-4900-bd6e-85a73675b25d\", \"infos\": [{\"txt\": \"Working with JSON\(...TRUNCATED) | "# Working with JSON in PostgreSQL#\n## JSON for beginners#\n## PostgreSQL's json types#\n## Indexes(...TRUNCATED) |
75cb04a1-2001-410a-866d-541b82ea39d6 | web | test/raw_web_htmls/75cb04a1-2001-410a-866d-541b82ea39d6.html | https://embrace-autism.com/hyper-systemizing/ | "{\"entry_id\": \"75cb04a1-2001-410a-866d-541b82ea39d6\", \"infos\": [{\"txt\": \"Hyper-systemizing\(...TRUNCATED) | # Hyper-systemizing
## Systemizing
## Hyper-systemizing
|
7f3473ed-d193-4844-b6d2-a1a2240877f9 | pdf | test/raw_pdf_files/7f3473ed-d193-4844-b6d2-a1a2240877f9.pdf | null | "{\"entry_id\": \"7f3473ed-d193-4844-b6d2-a1a2240877f9\", \"infos\": [{\"txt\": \"微光汇聚,Mic(...TRUNCATED) | "# 微光汇聚,Micro LED 开启显示新时代\n## 国星光电积极布局Micro LED 领域\n## M(...TRUNCATED) |
2d1212db-d637-43c0-897e-c7cd83b6d914 | web | test/raw_web_htmls/2d1212db-d637-43c0-897e-c7cd83b6d914.html | https://www.aspendigital.org/report/strategic-reorientation-on-ai-competition-with-china/ | "{\"entry_id\": \"2d1212db-d637-43c0-897e-c7cd83b6d914\", \"infos\": [{\"txt\": \"Strategic Reorient(...TRUNCATED) | "# Strategic Reorientation on A.I. Competition with China\n## Executive Summary\n## The view from Lo(...TRUNCATED) |
dc30a949-28e8-46fa-9f9a-31a068457560 | web | test/raw_web_htmls/dc30a949-28e8-46fa-9f9a-31a068457560.html | https://mp.weixin.qq.com/s?__biz=MzAwODUyMjIzOQ==&mid=2651920030&idx=1&sn=6a0bb6f657ceb7401dd135fef6374ffa&scene=0 | "{\"entry_id\": \"dc30a949-28e8-46fa-9f9a-31a068457560\", \"infos\": [{\"txt\": \"车圈震动!\",(...TRUNCATED) | "# 车圈震动!王传福突发重磅:充电5分钟,续航400公里!\n## 探索电动车技(...TRUNCATED) |
d28fa48f-fa13-4c8b-a2e0-21cabd580825 | web | test/raw_web_htmls/d28fa48f-fa13-4c8b-a2e0-21cabd580825.html | https://mp.weixin.qq.com/s?__biz=MzA5MDEzNjQwMA==&mid=2656222445&idx=4&sn=447784373f9215572c0d6aafb812c0f3&scene=0 | "{\"entry_id\": \"d28fa48f-fa13-4c8b-a2e0-21cabd580825\", \"infos\": [{\"txt\": \"最新批复!\",(...TRUNCATED) | "# 最新批复!两家银行:吸收合并、解散\n## 福州农商银行获准吸收合并闽(...TRUNCATED) |
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bba2e150-8f63-441e-b25c-3c575304fe38 | pdf | test/raw_pdf_files/bba2e150-8f63-441e-b25c-3c575304fe38.pdf | null | "{\"entry_id\": \"bba2e150-8f63-441e-b25c-3c575304fe38\", \"infos\": [{\"txt\": \"header\", \"langua(...TRUNCATED) | "# 2024 年ESG 市场回顾与展望监管新时代,ESG 投资再出发\n## 平安观点\n### ■2(...TRUNCATED) |
StructBench is a benchmark for evaluating fine-grained document structure analysis. It provides a high-quality test set of 248 documents in diverse formats, including 203 Web pages and 47 PDFs.
To ensure reliable ground truth, all documents were:
Parsed and sentence-segmented
Manually annotated by human experts for discourse structure
In addition to the structured annotations, raw Web pages and PDF files are included.
Clone the dataset:
git clone https://huggingface.co/datasets/deeplang-ai/StructBench
Or load with Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("deeplang-ai/StructBench", split="test")
@misc{zhou2025contextedusfaithfulstructured,
title={From Context to EDUs: Faithful and Structured Context Compression via Elementary Discourse Unit Decomposition},
author={Yiqing Zhou and Yu Lei and Shuzheng Si and Qingyan Sun and Wei Wang and Yifei Wu and Hao Wen and Gang Chen and Fanchao Qi and Maosong Sun},
year={2025},
eprint={2512.14244},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2512.14244},
}