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YAML Metadata Warning: The task_categories "text-mining" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, 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

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):

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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