YAML Metadata
Warning:
The task_categories "text2text-generation" 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, 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
OpenReview Conference Papers with Reviews
Dataset Overview
This dataset contains research papers and reviews crawled from OpenReview, covering top conferences such as ICML, NeurIPS, ICLR, and CVPR. The dataset includes:
- Paper metadata (title, conference, year, PDF URL)
- Review content (official review, meta review, official comment)
- Rating information (rating score, confidence score)
Dataset Statistics
| Metric | Value |
|---|---|
| Total Reviews | 120,818 |
| Time Span | 2023 - 2024 |
| Last Updated | 2025-03-12 00:52:07 |
Data Structure
Raw Data Format
Each conference directory contains a paper_reviews.json file with the following structure:
{
"paper_id": "unique_paper_identifier",
"title": "Paper Title",
"conference": "Conference Name",
"year": 2023,
"pdf_url": "PDF URL",
"reviews": [
{
"content_title": "The paper uses a lightweight LoRA to extract scene intrinsics from various generative model",
"rating": 7,
"confidence": 4,
"recommendation": "No recommendation",
"review_type": "official_review",
"review_text": "******"
},
{...},
{...},
...
]
}
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