| ---
|
| license: mit
|
| dataset_info:
|
| features:
|
| - name: instance_id
|
| dtype: string
|
| - name: doc_type
|
| dtype: string
|
| - name: source
|
| dtype: string
|
| - name: url
|
| dtype: string
|
| - name: edu_pred_input
|
| dtype: string
|
| - name: ground_truth
|
| dtype: string
|
| splits:
|
| - name: test
|
| num_bytes: 32221618
|
| num_examples: 248
|
| download_size: 6102151
|
| dataset_size: 32221618
|
| configs:
|
| - config_name: default
|
| data_files:
|
| - split: test
|
| path: test/data.parquet
|
| ---
|
|
|
| # 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:
|
|
|
| ```bash
|
| git clone https://huggingface.co/datasets/deeplang-ai/StructBench
|
| ```
|
|
|
| Or load with Hugging Face datasets library:
|
|
|
| ```python
|
| from datasets import load_dataset
|
| dataset = load_dataset("deeplang-ai/StructBench", split="test")
|
| ```
|
|
|
| ## Citation
|
|
|
| ```bibtex
|
| @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},
|
| }
|
| ```
|
|
|
