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cinepile
- huggingface.co
Updated Aug 24, 2024+ more versions
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EmailClick to copy linkLink copiedCitecinepile [Dataset]. https://huggingface.co/datasets/tomg-group-umd/cinepileDataset updatedAug 24, 2024Dataset authored and provided byTom Goldstein's Lab at University of Maryland, College ParkLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyDescriptionCinePile: 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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cinepile-3.0_with_videoID
- huggingface.co
Updated Feb 20, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteCinePile collaboration (2025). cinepile-3.0_with_videoID [Dataset]. https://huggingface.co/datasets/CinePile/cinepile-3.0_with_videoIDCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedFeb 20, 2025Dataset authored and provided byCinePile collaborationDescriptionCinePile/cinepile-3.0_with_videoID dataset hosted on Hugging Face and contributed by the HF Datasets community
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cinepile-t2v
- huggingface.co
Updated Jul 1, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteCinematic T2V (2025). cinepile-t2v [Dataset]. https://huggingface.co/datasets/CinematicT2vData/cinepile-t2vDataset updatedJul 1, 2025Dataset authored and provided byCinematic T2VLicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescriptionCinematicT2vData/cinepile-t2v dataset hosted on Hugging Face and contributed by the HF Datasets community
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cinepile-cr
- huggingface.co
Updated May 18, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteRuchit Rawal (2025). cinepile-cr [Dataset]. https://huggingface.co/datasets/RuchitRawal/cinepile-crDataset updatedMay 18, 2025AuthorsRuchit RawalDescriptionRuchitRawal/cinepile-cr dataset hosted on Hugging Face and contributed by the HF Datasets community
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Grant Giving Statistics for Syracuse Cinephile Society Inc
- instrumentl.com
Updated Mar 18, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2022). Grant Giving Statistics for Syracuse Cinephile Society Inc [Dataset]. https://www.instrumentl.com/990-report/syracuse-cinephile-society-incDataset updatedMar 18, 2022Area coveredSyracuseVariables measuredTotal Assets, Total GivingDescriptionFinancial overview and grant giving statistics of Syracuse Cinephile Society Inc
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FacebookTwitterEmailAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
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.