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

Hridoy Sankar Dutta
12/4/2024
cs.SIcs.AIcs.CL

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Abstract

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.).

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Cite this paper

@article{dutta2024ytm,
  title  = {YT-30M: A multi-lingual multi-category dataset of YouTube comments},
  author = {Hridoy Sankar Dutta},
  year   = {2024},
  eprint = {2412.03465},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.03465v1}
}

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