retkowski/ytseg-cc-by

YTSeg (CC BY): Commercially-Usable Subset

This is a commercially-usable subset of YTSeg, a benchmark for video transcription segmentation and smart chaptering. It contains only the videos whose original YouTube license is Creative Commons Attribution (CC BY), and is released under CC BY 4.0 so it can be used commercially.

The full YTSeg dataset is released under CC BY-NC-SA 4.0 (non-commercial). We checked the YouTube license of every video in the YTSeg training split via the YouTube Data API v3 (videos.list, part=status) and kept the 1.7% that are CC BY (status.license == "creativeCommon"). Only the training split is included.

For full documentation, please see the parent dataset at retkowski/ytseg. This card only describes what differs.

What's different from retkowski/ytseg

	retkowski/ytseg	retkowski/ytseg-cc-by (this)
License	CC BY-NC-SA 4.0 (non-commercial)	CC BY 4.0 (commercial OK, with attribution)
Videos	19,299	276 (CC BY only, ~1.7%)
Splits	train / validation / test	train only
Format	audio, text, titles configs	identical (audio, text, titles)

Subset statistics

	Count
Videos	276
Channels	14
Audio	99.1 hours
Title chapters (titles config)	1,586

Loading

from datasets import load_dataset

# audio config (embedded 16 kHz mono audio)
dataset = load_dataset("retkowski/ytseg-cc-by", "audio", split="train")

# text config (transcripts + targets + metadata)
dataset = load_dataset("retkowski/ytseg-cc-by", "text", split="train")

# titles config (chapter title generation)
dataset = load_dataset("retkowski/ytseg-cc-by", "titles", split="train")

License

This subset is released under Creative Commons Attribution 4.0 International (CC BY 4.0) — see LICENSE. Each underlying video was published on YouTube under the Creative Commons Attribution license (CC BY 3.0).

Citing

We kindly request you to cite the corresponding papers if you use this dataset.

@inproceedings{retkowski-waibel-2024-text,
    title = "From Text Segmentation to Smart Chaptering: A Novel Benchmark for Structuring Video Transcriptions",
    author = "Retkowski, Fabian  and Waibel, Alexander",
    editor = "Graham, Yvette  and Purver, Matthew",
    booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = mar,
    year = "2024",
    address = "St. Julian{'}s, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.eacl-long.25",
    pages = "406--419",
}

@article{retkowski2026beyond,
    title     = {Beyond Transcripts: A Renewed Perspective on Audio Chaptering},
    author    = {Retkowski, Fabian and Z{\"u}fle, Maike and Nguyen, Thai Binh and Niehues, Jan and Waibel, Alexander},
    journal   = {arXiv preprint arXiv:2602.08979},
    year      = {2026},
    url       = {https://arxiv.org/abs/2602.08979}
}