README.md

metadata

license: other
tags:
  - dataset
  - video
  - social-media
  - tiktok
  - multimodal
  - audio-visual
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: collected_time
      dtype: string
    - name: create_time
      dtype: int64
    - name: desc
      dtype: string
    - name: duet_display
      dtype: int64
    - name: duet_enabled
      dtype: string
    - name: duet_info_duet_from_id
      dtype: float64
    - name: is_ad
      dtype: string
    - name: item_comment_status
      dtype: int64
    - name: item_mute
      dtype: string
    - name: item_control_can_repost
      dtype: string
    - name: official_item
      dtype: string
    - name: original_item
      dtype: string
    - name: share_enabled
      dtype: string
    - name: playlist_id
      dtype: float64
    - name: stitch_display
      dtype: int64
    - name: stitch_enabled
      dtype: string
    - name: diversification_id
      dtype: float64
    - name: stats_time
      dtype: string
    - name: collect_count
      dtype: int64
    - name: comment_count
      dtype: int64
    - name: digg_count
      dtype: int64
    - name: play_count
      dtype: int64
    - name: share_count
      dtype: int64
    - name: vq_score
      dtype: float64
    - name: duration
      dtype: int64
    - name: share_cover
      dtype: string
    - name: poi_id
      dtype: int64
    - name: poi_name
      dtype: string
    - name: address
      dtype: string
    - name: city
      dtype: string
    - name: city_code
      dtype: float64
    - name: country_code
      dtype: int64
    - name: poi_category
      dtype: string
    - name: father_poi_id
      dtype: string
    - name: father_poi_name
      dtype: string
    - name: poi_tt_type_code
      dtype: string
    - name: poi_tt_type_name_medium
      dtype: string
    - name: poi_tt_type_name_super
      dtype: string
    - name: poi_tt_type_name_tiny
      dtype: string
    - name: user_id
      dtype: int64
    - name: user_avatar_larger
      dtype: string
    - name: user_avatar_medium
      dtype: string
    - name: user_avatar_thumb
      dtype: string
    - name: user_tt_seller
      dtype: string
    - name: user_verified
      dtype: string
    - name: challenges
      dtype: string
    - name: music_id
      dtype: float64
    - name: music_title
      dtype: string
    - name: music_album
      dtype: string
    - name: music_author_name
      dtype: string
    - name: music_duration
      dtype: float64
    - name: music_original
      dtype: string
    - name: music_play_url
      dtype: string
    - name: url
      dtype: string
  splits:
    - name: train
      num_examples: 10000000

TikTok-10M Dataset

Dataset Description

TikTok-10M is a large-scale dataset containing 10 million short-form posts from TikTok, designed for video understanding, multimodal learning, and social media content analysis. The dataset was curated to bridge the gap between academic video datasets and actual user-generated content, providing researchers with authentic patterns and characteristics of modern short-form video content that dominates social media platforms.

Request for granular highly curated data

Please fill out this form if you are training models and want additional curated datasets: Google Form

Dataset Structure

Each data instance contains:

• Post metadata (id, url, desc, challenges, create_time, etc)
• Post statistics (digg_count, comment_count, play_count, etc)
• Point of interest data (poi_name, address, poi_category, etc)
• Music data (music_name,music_album, etc)
• Video data (vq_score, duration, etc)

Usage Examples

from datasets import load_dataset

# Load the full dataset
dataset = load_dataset("The-data-company/TikTok-10M")

# Access training split
train_dataset = dataset["train"]

# Access a sample
sample = train_dataset[0]
print(f"description: {sample['desc']}")
print(f"likes: {sample['digg_count']}")
print(f"url: {sample['url']}")

Dataset Statistics

• Total Videos: 10,000,000
• Total Duration: [To be calculated]
• Average Video Length: [To be calculated]
• Category Distribution: [To be calculated]

Limitations and Biases

• Temporal Bias: Dataset reflects trending TikTok content during Spring 2025
• Geographic Bias: Dataset contains only content with US-based points of interest
• Content Bias: Dataset focuses on trending content
• Quality Variation: User-generated content varies significantly in production quality

Data Access

The dataset is available through the Hugging Face datasets library. Due to its large size (10M videos), consider using streaming or downloading specific splits based on your needs.

Ethical Considerations

• Public Data Only: Only publicly available data is included
• Privacy Protection: No personally identifiable information beyond what was publicly shared
• Content Moderation: Users should implement appropriate content filtering for their use cases
• Responsible Use: This dataset should be used in accordance with TikTok's terms of service and applicable laws

Citation

@dataset{tiktok_10m_2025,
  title={TikTok-10M: A Large-Scale Short Video Dataset for Video Understanding},
  author={The Data Company},
  year={2025},
  url={https://huggingface.co/datasets/The-data-company/TikTok-10M},
  note={A dataset of 10 million TikTok posts for multimodal learning and social media analysis}
}