{
  "video_id": "reddit_1u4gcxj",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "Fable 5 data, including CoT",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1u4gcxj/fable_5_data_including_cot/",
  "external_url": null,
  "upload_date": "20260613",
  "published_at": "2026-06-13T03:43:29+00:00",
  "transcript": "[https://huggingface.co/datasets/Glint-Research/Fable-5-traces](https://huggingface.co/datasets/Glint-Research/Fable-5-traces)\n\nA simple dataset of all the Fable 5 data we could get our hands on before it was taken away (no clue if it's coming back). Expect some fine-tuned models trained on this soon. Big thanks to the TeichAI team (weird thanking myself, lol) for providing 953 traces, while I added the CoT data.\n\n  \nHave fun with this!\n\n\n\n--- Top Comments ---\n\n\n[49 upvotes] all the fable CoT outputs are [just summaries](https://platform.claude.com/docs/en/build-with-claude/extended-thinking#summarized-thinking). how useful is this for tuning on?\n\n[21 upvotes] Very small, but appreciated. Don't see it being meaningfully useful for fine-tuning though given how small the dataset is.",
  "transcript_chars": 791,
  "ingested_at": "2026-06-13T13:30:07.409498+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 100,
    "upvote_ratio": 0.89,
    "num_comments": 23,
    "author": "Available-Craft-5795",
    "is_self": true
  }
}