Datasets:

deeplang-ai
/

StructBench

instance_id string	doc_type string	source string	url string	edu_pred_input string	ground_truth string
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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)
d0a72b67-2ae9-43c6-84c8-fdcd6ffe2dfe	web	test/raw_web_htmls/d0a72b67-2ae9-43c6-84c8-fdcd6ffe2dfe.html	https://mp.weixin.qq.com/s?__biz=MzA4NDIyOTMxNw==&mid=2650507819&idx=6&sn=18ec34751947a08b985a20dd518e9739&scene=0	"{\"entry_id\": \"d0a72b67-2ae9-43c6-84c8-fdcd6ffe2dfe\", \"infos\": [{\"txt\": \"“清明遇双春(...TRUNCATED)	"# “清明遇双春，3人不上坟” 究竟哪3人？最好了解下 \n## 0(...TRUNCATED)
5dfe3ba0-9d4f-4243-a8fd-5791d706eb25	web	test/raw_web_htmls/5dfe3ba0-9d4f-4243-a8fd-5791d706eb25.html	https://mp.weixin.qq.com/s/ftBds-zDE2i1HJ22UP--xg	"{\"entry_id\": \"5dfe3ba0-9d4f-4243-a8fd-5791d706eb25\", \"infos\": [{\"txt\": \"中国风=国际(...TRUNCATED)	"# 中国风=国际潮，中国风席卷Etsy！用东方美学狂赚美金！\n## 1、中国风为(...TRUNCATED)
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)

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Dataset Card for StructBench

Dataset Summary

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.

Dataset Structure

test/: evaluation-only split
- data.parquet: data samples
- raw_pdf_files/: original PDF files
- raw_web_htmls/: original WEB htmls

Tasks

Discouse Analysis
Document Structure Parsing
Document Understanding

Usage

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")

Citation

@article{zhou2025structbench,
  title   = {From Context to EDUs: Faithful and Structured Context Compression via Elementary Discourse Unit Decomposition},
  author  = {Yiqing Zhou, Yu Lei, Shuzheng Si, Qingyan Sun, Wei Wang, Yifei Wu, Hao Wen, Gang Chen, Fanchao Qi, Maosong Sun},
  year    = {2025},
  journal = {arXiv preprint arXiv:2512.14244}
}

Downloads last month: 1

Size of downloaded dataset files:

6.1 MB

Size of the auto-converted Parquet files:

6.1 MB

Number of rows:

248