| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - text-classification |
| - feature-extraction |
| language: |
| - zh |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # Douyin Posts Dataset |
|
|
| A dataset of **1,133,545 unique posts** from Douyin (Chinese TikTok), collected via snowball sampling of related videos. |
|
|
| ## Dataset Description |
|
|
| This dataset contains metadata from Douyin short videos, collected by crawling related video recommendations. Starting from seed videos matching specific keywords, the crawler iteratively fetched related videos to build a diverse sample of the platform's content. |
|
|
| ### Collection Method |
|
|
| - **Snowball sampling**: Starting from keyword-matched seed videos, related videos were iteratively crawled |
| - **Deduplication**: All posts are deduplicated by `aweme_id` (unique video identifier) |
| - **Partitioning**: Data is partitioned by the first 4 digits of `aweme_id` for efficient access |
|
|
| ## Dataset Structure |
|
|
| The dataset contains 187 columns. Key fields include: |
|
|
| ### Core Fields |
| | Field | Type | Description | |
| |-------|------|-------------| |
| | `aweme_id` | string | Unique video identifier | |
| | `desc` | string | Video description/caption | |
| | `caption` | string | Short caption | |
| | `create_time` | int64 | Unix timestamp of video creation | |
| | `duration` | int64 | Video duration in milliseconds | |
| | `region` | string | Geographic region code | |
|
|
| ### Engagement Statistics (`statistics` struct) |
| | Field | Description | |
| |-------|-------------| |
| | `digg_count` | Number of likes | |
| | `comment_count` | Number of comments | |
| | `share_count` | Number of shares | |
| | `play_count` | Number of views | |
| | `collect_count` | Number of saves/bookmarks | |
|
|
| ### Author Information (`author` struct) |
| | Field | Description | |
| |-------|-------------| |
| | `uid` | Author user ID | |
| | `nickname` | Display name | |
| | `sec_uid` | Secondary user ID | |
| | `signature` | Author bio | |
| | `follower_status` | Follower relationship status | |
|
|
| ### Content Metadata |
| | Field | Type | Description | |
| |-------|------|-------------| |
| | `cha_list` | list | Hashtag/challenge information | |
| | `text_extra` | list | Extracted hashtags, mentions, and links | |
| | `music` | struct | Audio/music metadata | |
| | `video` | struct | Video file metadata (URLs, dimensions, formats) | |
| | `poi_info` | struct | Location/point of interest data | |
|
|
| ## Usage |
|
|
| ```python |
| import polars as pl |
| from huggingface_hub import hf_hub_download |
| from pathlib import Path |
| |
| # Download a single partition |
| file_path = hf_hub_download( |
| repo_id="bendavidsteel/douyin", |
| filename="data/partition_7500.parquet.zstd", |
| repo_type="dataset" |
| ) |
| df = pl.read_parquet(file_path) |
| |
| # Or load all partitions |
| from huggingface_hub import snapshot_download |
| |
| local_dir = snapshot_download( |
| repo_id="bendavidsteel/douyin", |
| repo_type="dataset", |
| allow_patterns="data/*.parquet.zstd" |
| ) |
| df = pl.read_parquet(Path(local_dir) / "data" / "*.parquet.zstd") |
| ``` |
|
|
| ## File Structure |
|
|
| ``` |
| data/ |
| ├── partition_7035.parquet.zstd |
| ├── partition_7040.parquet.zstd |
| ├── ... |
| └── partition_7551.parquet.zstd |
| ``` |
|
|
| 111 partition files, partitioned by the first 4 digits of `aweme_id`. |
|
|
| ## Limitations |
|
|
| - Metadata only - does not include actual video/image content |
| - Point-in-time snapshot - engagement statistics reflect collection time |
| - Related video sampling may introduce biases toward popular/recommended content |
|
|
| ## License |
|
|
| CC-BY-NC-4.0 (Creative Commons Attribution-NonCommercial 4.0) |
|
|
