Shofo/shofo-tiktok-general-small

Shofo TikTok General (Small)

Overview

Shofo TikTok General (Small) is a dataset containing 50,000 TikTok videos with comprehensive metadata, transcripts, comments, and engagement metrics. This is a curated subset of Shofo's larger TikTok index, which contains hundreds of millions of indexed videos.

• License: MIT
• Size: ~50K videos (~500GB)
• Modality: Video + Text (transcripts, comments, captions)
• Source: TikTok

Schema

Column	Type	Description
file_name	string	Relative path to video file (e.g., videos/123.mp4)
video_id	string	Unique TikTok video identifier
web_url	string	TikTok web URL for the video
creator	string	Creator username
transcript	string	Audio transcription (ASR-generated, may be null)
description	string	Video caption/description
hashtags	JSON array	List of hashtags used
sticker_text	JSON array	Text overlays/stickers visible in video
comments	JSON array	Top comments with metadata (see below)
engagement_metrics	JSON object	View counts, likes, shares, etc. (see below)
date_posted	timestamp	When the video was originally posted
language	JSON object	Language detection info (see below)
fps	int	Frames per second
resolution	string	Video resolution (e.g., 1080x1920)
duration_ms	int	Video duration in milliseconds
is_ai_generated	bool	Whether the video was labeled as AI-generated
is_ad	bool	Whether the video is an advertisement

Engagement Metrics Structure

{
  "play_count": 8948070,
  "like_count": 789584,
  "comment_count": 1451,
  "share_count": 38604,
  "collect_count": 126905,
  "repost_count": 0,
  "download_count": 235172,
  "whatsapp_share_count": 15737
}

Comments Structure

Each comment in the comments array contains:

{
  "cid": "7352452026457342726",
  "text": "Comment text here",
  "create_time": 1711876158,
  "like_count": 885,
  "reply_count": 9,
  "username": "commenter_username",
  "user_region": "MX",
  "language": "es"
}

Language Structure

{
  "desc_language": "es",
  "sticker_language": "en",
  "region": "US",
  "author_region": "US",
  "original_audio_language": null
}

Collection Methodology

Videos were collected through Shofo's TikTok indexing pipeline:

1. Discovery: Creators and hashtags are discovered through an explore/exploit strategy, snowballing from seed accounts
2. Indexing: Video metadata is fetched via TikTok's API
3. Transcription: Audio is transcribed using automatic speech recognition (ASR)
4. Deduplication: Videos are deduplicated using Redis-based ID tracking

This subset represents a curated sample from the larger index, selected for data quality and diversity.

Usage

Using HuggingFace Datasets Library

from datasets import load_dataset

ds = load_dataset("Shofo/shofo-tiktok-general-small", split="train")

# Access a sample
sample = ds[0]
print(sample["transcript"])
print(sample["description"])
print(sample["engagement_metrics"])

Using Pandas

import pandas as pd

df = pd.read_parquet("hf://datasets/Shofo/shofo-tiktok-general-small/metadata.parquet")

# Filter by engagement
popular = df[df['engagement_metrics'].apply(lambda x: x['play_count'] > 1000000)]

Accessing Videos

Videos are stored in the videos/ directory and linked via the file_name column:

from datasets import load_dataset

ds = load_dataset("Shofo/shofo-tiktok-general-small", split="train")

# Get video path
video_path = ds[0]["file_name"]  # e.g., "videos/7350916080610643231.mp4"

Notes

• Compression: Tiktok automatically uses H264 compression on its videos, achieving ~50x slightly lossy compression.
• Engagement metrics: Values are from time of indexing
• Comments: Top 50 comments at time of indexing
• Nulls: Some fields may be null (e.g., transcript if no speech, sticker_text if no overlays)

Larger Versions

This is the "small" version of the Shofo TikTok dataset. Larger versions are available:

• Shofo TikTok General (Medium): 10m+ videos
• Shofo TikTok General (Large): 100M+ videos

Citation

@dataset{shofo_tiktok_general_small_2025,
  title={Shofo TikTok General (Small)},
  author={Shofo},
  year={2025},
  url={https://huggingface.co/datasets/Shofo/shofo-tiktok-general-small}
}

License

This dataset is released under the MIT License.