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README.md
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# YouTube AI Slop Shorts Dataset
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A dataset of **4,224 YouTube channels** and **139,136 Shorts video IDs** labeled for AI-generated content detection.
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## Overview
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This dataset was created to help researchers, developers, and content moderators identify AI-generated ("slop") content on YouTube Shorts. It contains channel-level and video-level labels for AI slop detection.
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## Stats
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| Metric | Value |
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|---|---|
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| Channels | 4,224 |
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| Shorts Videos | 139,136 |
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| Channels with labels | 948 |
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| Videos with labels | 390 |
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## Format
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```json
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[
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{
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"channel": "@channelName",
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"labels": {
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"slopChannel": ["SLOP", "SUSPECTED_AI"]
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},
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"shorts": [
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{"videoId": "abc123"},
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{"videoId": "def456", "aiSlop": 1}
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]
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}
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]
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```
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## Fields
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### Channel level
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| Field | Description | Count |
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|---|---|---|
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| `channel` | YouTube channel handle | 4,224 |
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| `labels.slopChannel` | AI slop label (`SLOP`, `SUSPECTED_AI`) | 889 |
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| `labels.badChannel` | Flagged as bad | 26 |
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| `labels.badChannelCustom` | Custom bad flag | 49 |
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| `labels.safeChannel` | Verified safe | 1 |
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| `labels.goodChannel` | Verified good | 3 |
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| `labels.goodChannelCustom` | Custom good flag | 1 |
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### Video level
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| Field | Description |
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|---|---|
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| `videoId` | YouTube video ID |
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| `aiSlop` | AI slop flag (242 videos) |
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| `slop` | Slop flag (141 videos) |
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| `safe` | Safe flag (8 videos) |
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## Usage
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### Python
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```python
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import json
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with open("youtube_ai_slop_dataset.json") as f:
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data = json.load(f)
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# Get all AI slop channels
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slop_channels = [ch for ch in data if "slopChannel" in ch.get("labels", {})]
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print(f"AI Slop channels: {len(slop_channels)}")
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# Get all labeled videos
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for ch in data:
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for video in ch["shorts"]:
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if "aiSlop" in video or "slop" in video:
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print(f"https://youtube.com/shorts/{video['videoId']}")
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```
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## Use Cases
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- Training AI content detectors for YouTube Shorts
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- Browser extensions for flagging AI-generated content
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- Research on AI slop prevalence on social media
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- Content moderation tools
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## License
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This dataset is provided for research and educational purposes.
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## Contributing
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If you'd like to contribute labels or report issues, please open an issue or pull request.
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