The use of the FoleyBench-Long dataset and the original videos is governed by the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. This dataset is intended for academic research purposes only. Commercial use in any form is strictly prohibited.

Before using the dataset, you must read and agree to the following conditions:

Compliance with Original Licenses - FoleyBench-Long is a collection of videos from various sources, each with its own Creative Commons license. Any use of the videos, in whole or in part, must adhere to the terms of their original licenses, including any attribution requirements. We provide provenance information for each data point to facilitate this.

Data Removal and Updates - The dataset will be updated periodically to remove data upon request. By accessing this repository, you agree to -

(1) Update your version of the dataset to the most recent version specified by the maintainers.

(2) Immediately delete any specific videos from your records upon notification from the dataset maintainers.

No Warranty and Content Disclaimer - The videos in this dataset are provided "as is." We do not own the copyright to any of the raw video files. Given the nature of this dataset, it is impossible for us to review all the video files. We do not vouch for or warrant the accuracy, completeness, or usefulness of any file and are not responsible for the contents of any files. Some files may contain objectionable material.

Sharing and Distribution - If you host, share, or otherwise provide access to this dataset, you must include these Terms and Conditions and require all users to agree to them.

Contact Information - By clicking "Access repository," you agree that your contact information (email address and username) may be shared with the dataset maintainers. We may notify users via email when the dataset is updated.

Infringement - If you believe that any content in this dataset infringes on your rights, please contact us at [email protected] to request its removal. We will address any such requests immediately.

By accessing the repository, you acknowledge that you have read, understood, and agree to be bound by these terms and conditions.

FoleyBench-Long Dataset

This dataset contains 653 longer video clips (30 seconds each) with audio for foley sound generation tasks. FoleyBench-Long is the extended version of FoleyBench, focusing on longer video segments to better capture complex sound events.

Dataset Structure

foleybench-long.csv: Metadata file with video information including captions, duration, and source metadata
data/train-0-of-2.parquet: First batch of video data with embedded video content (videos 1-350)
data/train-1-of-2.parquet: Second batch of video data with embedded video content (videos 351-653)

Features

Each example in the dataset contains:

key: Unique identifier for the video
duration: Video duration in seconds
dataset: Source dataset name
width: Video width in pixels
height: Video height in pixels
caption: Text description of the video content
metadata: JSON string with source information (YouTube ID, timestamps, etc.)
video_data: Base64-encoded video content

Usage

from datasets import load_dataset
import base64

# Load the dataset
dataset = load_dataset("FoleyBench/foleybench-long")

# Access video data
first_example = dataset["train"][0]
print(f"Caption: {first_example['caption']}")
print(f"Duration: {first_example['duration']} seconds")

# Decode video
video_b64 = first_example["video_data"]
video_bytes = base64.b64decode(video_b64)

# Save video to file
with open("video.mp4", "wb") as f:
    f.write(video_bytes)

Data Access

This dataset requires users to accept the terms and conditions before accessing.

License

This dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.

Important: This dataset is intended for academic research purposes only. Commercial use is strictly prohibited.

Contact

For questions, concerns, or data removal requests, please contact: [email protected]

Citation

If you find FoleyBench-Long useful in your research, please consider citing our paper:

@misc{dixit2025foleybenchbenchmarkvideotoaudiomodels,
      title={FoleyBench: A Benchmark For Video-to-Audio Models}, 
      author={Satvik Dixit and Koichi Saito and Zhi Zhong and Yuki Mitsufuji and Chris Donahue},
      year={2025},
      eprint={2511.13219},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={[https://arxiv.org/abs/2511.13219](https://arxiv.org/abs/2511.13219)}, 
}

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: MP4 with embedded audio

Resolution

: Various (mostly 640x360)