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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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