TikTok 1M Videos with Engagement Data
A TikTok dataset of 1,035,817 videos, 4,920 creators, 27,169,858 engagement records, collected by Lingbo et al.. Each record contains video_id, author_id, create_time, description, hashtags, music, daily engagement (plays, likes, comments, shares, collects). Large-scale TikTok dataset with video metadata and 30-day engagement trajectories. Suitable for engagement analysis, creator behavior, viral prediction, social media dynamics.
Cite this dataset at
tiktok-1m.echo.directory
Analytics
The full graph has 1,040,743 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
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Computed over the full corpus.
Record
- Catalog key
tiktok_1m- Authors
- Lingbo, L.; Wang, Y.; Zhang, Q.
- Year
- 2024
- Source paper
- TikTok Creator and Video Engagement Dataset
- License
- CC BY-NC 4.0 (CC-BY-NC-4.0)
- Records
- 1,035,817
- Nodes
- 1,040,743
- Edges
- 1,035,817
- Nodes are
- video / creator
- Edges are
- engagement
- Attributes
- nodes have no attributes; edges have attributes
- Text corpus
- video description
- Languages
- en
- Collected
- 2024-2025 (2020s)
- Tasks
- Rating prediction (regression;
engagement_rate) inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://huggingface.co/datasets/lingbow/tiktok-video-engagement-1m link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 656.1 MB across 4 files. Checksums in MANIFEST.json.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@dataset{lingbo2024tiktok,
title = {TikTok Creator and Video Engagement Dataset},
author = {Lingbo, L. and Wang, Y. and Zhang, Q.},
year = {2024},
howpublished = {\url{https://huggingface.co/datasets/lingbow/tiktok-video-engagement-1m}}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Lingbo, L., Wang, Y., & Zhang, Q. (2024). TikTok 1M Videos with Engagement Data [Data set]. https://tiktok-1m.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Lingbo, L., et al. TikTok 1M Videos with Engagement Data. 2024, tiktok-1m.echo.directory/.