Duplicate from The-data-company/TikTok-10M

Co-authored-by: Suman Sigdel <sumansid@users.noreply.huggingface.co>

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+*.pcm filter=lfs diff=lfs merge=lfs -text
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+# Audio files - compressed
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README.md

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+---
+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](https://forms.gle/1dT6RsKsRKxbuupw8)
+
+## 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
+
+```python
+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
+
+```bibtex
+@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}
+}
+```

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