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