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--- |
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language: |
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- en |
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task_categories: |
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- text-mining |
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- other |
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tags: |
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- scientific-papers |
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- grobid |
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- tei-xml |
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- bibtex |
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pretty_name: "ICLR/ICML/NeurIPS 2025 (no-PDF) GROBID outputs" |
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license: other |
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--- |
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## Dataset Summary |
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This dataset contains **GROBID-parsed outputs** for research papers from **ICLR 2025**, **ICML 2025**, and **NeurIPS 2025**. |
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The repository is distributed as **zip archives** (no PDFs) to make it easy to download and mirror. |
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What you will find (per paper, when available): |
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- **TEI XML** produced by GROBID (`*.xml`) |
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- **BibTeX** produced by GROBID (`*.bib`) |
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- In some folders: additional GROBID artifacts such as `grobid_metadata` JSON and `grobid_bib` exports |
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What you will *not* find in the current release: |
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- PDFs (explicitly excluded) |
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- OpenReview reviews / scores |
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- A single tabular `datasets`-style split (this repo is file-based) |
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## Dataset Structure |
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The dataset is organized by conference year folders and typically shipped as zips: |
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``` |
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paper_data/ |
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├── ICLR_2025_no_pdf.zip |
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├── ICML_2025_no_pdf.zip |
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├── NeurIPS_2025_no_pdf.zip |
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``` |
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Inside each zip (example; exact subfolders can differ by venue): |
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``` |
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<VENUE>_2025/ |
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├── grobid_tei/ # TEI XML files (*.xml) |
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├── grobid_bib/ # BibTeX exports (*.bib) (venue-dependent) |
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├── grobid_metadata/ # JSON metadata (venue-dependent) |
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└── ... # other non-PDF artifacts |
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``` |
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| Conference | Papers | Reviews | |
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|------------|------:|-------:| |
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| ICLR 2025 | 11,475 | 46,748 | |
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| ICML 2025 | 3,385 | 35,546 | |
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| NeurIPS 2025 | 5,532 | 22,373 | |
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## How to Use |
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### Download from Hugging Face Hub |
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```python |
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from huggingface_hub import snapshot_download |
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local_dir = snapshot_download(repo_id="thanhkt/paper", repo_type="dataset") |
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print(local_dir) |
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``` |
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Then unzip the archives you need (example): |
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```bash |
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unzip -q ICLR_2025_no_pdf.zip -d ./extracted/ |
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``` |
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### Parsing |
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- **TEI XML**: use any TEI/XML parser to extract title/abstract/sections/citations. |
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- **BibTeX**: parse with `bibtexparser` or similar libraries. |
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## Limitations |
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- GROBID outputs may contain parsing errors and incomplete fields depending on paper formatting. |
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- File coverage varies by venue and crawling/processing completeness. |
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- Because this repo is primarily **zip/binary files**, the Hugging Face dataset viewer may not display a table preview. |
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