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