2 datasets found
  1. P

    Data from: CinePile: A Long Video Question Answering Dataset and Benchmark...

    • paperswithcode.com
    Updated May 13, 2024
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    Ruchit Rawal; Khalid Saifullah; Miquel Farré; Ronen Basri; David Jacobs; Gowthami Somepalli; Tom Goldstein (2024). CinePile: A Long Video Question Answering Dataset and Benchmark Dataset [Dataset]. https://paperswithcode.com/dataset/cinepile
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    Dataset updated
    May 13, 2024
    Authors
    Ruchit Rawal; Khalid Saifullah; Miquel Farré; Ronen Basri; David Jacobs; Gowthami Somepalli; Tom Goldstein
    Description

    CinePile is a question-answering-based, long-form video understanding dataset. It has been created using advanced large language models (LLMs) with human-in-the-loop pipeline leveraging existing human-generated raw data. It consists of approximately 300,000 training data points and 5,000 test data points.

  2. h

    cinepile

    • huggingface.co
    Updated Aug 24, 2024
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    Tom Goldstein's Lab at University of Maryland, College Park (2024). cinepile [Dataset]. https://huggingface.co/datasets/tomg-group-umd/cinepile
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    Dataset updated
    Aug 24, 2024
    Dataset authored and provided by
    Tom Goldstein's Lab at University of Maryland, College Park
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    CinePile: A Long Video Question Answering Dataset and Benchmark

    CinePile is a question-answering-based, long-form video understanding dataset. It has been created using advanced large language models (LLMs) with human-in-the-loop pipeline leveraging existing human-generated raw data. It consists of approximately 300,000 training data points and 5,000 test data points. If you have any comments or questions, reach out to: Ruchit Rawal or Gowthami Somepalli Other links - Website… See the full description on the dataset page: https://huggingface.co/datasets/tomg-group-umd/cinepile.

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Share
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Email
Click to copy link
Link copied
Close
Cite
Ruchit Rawal; Khalid Saifullah; Miquel Farré; Ronen Basri; David Jacobs; Gowthami Somepalli; Tom Goldstein (2024). CinePile: A Long Video Question Answering Dataset and Benchmark Dataset [Dataset]. https://paperswithcode.com/dataset/cinepile

Data from: CinePile: A Long Video Question Answering Dataset and Benchmark Dataset

Related Article
Explore at:
Dataset updated
May 13, 2024
Authors
Ruchit Rawal; Khalid Saifullah; Miquel Farré; Ronen Basri; David Jacobs; Gowthami Somepalli; Tom Goldstein
Description

CinePile is a question-answering-based, long-form video understanding dataset. It has been created using advanced large language models (LLMs) with human-in-the-loop pipeline leveraging existing human-generated raw data. It consists of approximately 300,000 training data points and 5,000 test data points.

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