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YT-30M: A multi-lingual multi-category dataset of YouTube comments

arXiv 2412.03465 ↗First posted 4 Dec 2024cs.SI cs.AI cs.CLcited by 0

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Abstract (arXiv)

This paper introduces two large-scale multilingual comment datasets, YT-30M (and YT-100K) from YouTube. The analysis in this paper is performed on a smaller sample (YT-100K) of YT-30M. Both the datasets: YT-30M (full) and YT-100K (randomly selected 100K sample from YT-30M) are publicly released for further research. YT-30M (YT-100K) contains 32236173 (108694) comments posted by YouTube channel that belong to YouTube categories. Each comment is associated with a video ID, comment ID, commentor name, commentor channel ID, comment text, upvotes, original channel ID and category of the YouTube channel (e.g., 'News & Politics', 'Science & Technology', etc.).

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 8 references that are in the map. First posted on arXiv 4 Dec 2024.

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References · 2

  1. 2023Just Another Day on Twitter: A Complete 24 Hours of Twitter Datacited by 14
  2. 2023#RoeOverturned: Twitter Dataset on the Abortion Rights Controversycited by 14

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