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Anime Video Dataset 2024

Overview

This is an anime video dataset curated specifically for multimedia research purposes. It is sourced from anime series released in 2024 and includes both a complete combined file and four seasonal subsets (Winter, Spring, Summer, and Fall).

Data Details

  • Video Stream

    • Codec: H.264 (High Profile)
    • Format: YUV 4:2:0 (Progressive)
    • Resolution: 640×360 (SAR 1:1, DAR 16:9)
    • Frame Rate: 23.98 FPS
  • Audio Stream

    • Codec: AAC (LC)
    • Sample Rate: 48,000 Hz
    • Channels: Stereo
    • Bit Rate: 64 kb/s

Label Schema

  • file_name — The source filename of the asset.
  • sn — The series number of the episode.
  • series_name — The title of the anime series.
  • episode_name — The episode identifier; may be numeric (e.g., "12") or non-numeric (for specials or OVAs).
  • ref — A reference identifier at the series level.
  • release_date — The release date (YYYY-MM) of the series’ first episode.
  • total_episodes — The total declared number of episodes for the series.

Season Definitions

The dataset is divided into seasonal subsets based on the release_date field:

  • Winter: 2024-01, 2024-02
  • Spring: 2024-03, 2024-04, 2024-05
  • Summer: 2024-06, 2024-07, 2024-08
  • Fall: 2024-09, 2024-10, 2024-11, 2024-12

Basic Statistics

  • Total Records: 2,122

  • Unique Series: 154 (≈13.78 episodes per series on average; range: 2–48)

  • By Season (items):

    • Winter: 432
    • Spring: 570
    • Summer: 482
    • Fall: 638
  • By Month (items):

    • 2024-01: 432
    • 2024-04: 550
    • 2024-05: 20
    • 2024-06: 34
    • 2024-07: 435
    • 2024-08: 13
    • 2024-09: 66
    • 2024-10: 572

Dataset Applications

This dataset is intended for research purposes only, particularly for multimedia and multimodal studies. Potential use cases include:

  • Multimodal analysis of anime videos, combining visual and audio features for content understanding
  • Generative modeling of anime character behavior or dialogue prediction
  • Audio-visual multimodal generation and synthesis tasks
  • Evaluating multimodal embeddings for scene comprehension
  • Benchmarking multimodal content retrieval and matching techniques

Acknowledgments

This dataset includes data sourced from the OTT platform. All videos are provided exclusively for research purposes and are derived from publicly accessible low-resolution content that does not require login access. All original copyrights remain with their respective rights holders.

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