Datasets › CinePile: A Long Video Question Answering Dataset and Benchmark

CinePile: A Long Video Question Answering Dataset and Benchmark

Introduced by Ruchit Rawal et al. in CinePile: A Long Video Question Answering Dataset and Benchmark14 May 2024 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Zero-Shot Video Question Answer CinePile: A Long Video Question Answering Dataset and Benchmark Human Accuracy 86 CinePile: A Long Video Question Answering Dataset and Benchmark — 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
CinePile: A Long Video Question Answering Dataset and Benchmark 0 1 14 May 2024 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • CinePile: A Long Video Question Answering Dataset and Benchmark

1 variant name, as the archive lists them.

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