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Seanie-lee/ThinkSafe-R1-Distill-8B-v3

published by @Seanie-lee

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
84
Last 30 days
5
Likes
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Size
202.1 MB
Created on HF
2025-10-31
Age
11 months ago

Description

Refusal Statistics:Total harmful prompts: 17888Number of refusals: 4654Number of non-refusals: 13234Refusal rate: 26.02%

Filtering Statistics:Total examples before filtering: 40000Total examples after filtering: 39750Examples removed (harmful): 250Safe ratio: 99.38%

FINAL SUMMARY

Harmful prompts that model refused: 4654Harmful prompts with generated refusals: 13234Benign prompts: 22112Total examples after… See the full description on the dataset page: https://huggingface.co/datasets/Seanie-lee/ThinkSafe-R1-Distill-8B-v3.

Tags

size_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

Refusal Statistics:
Total harmful prompts: 17888
Number of refusals: 4654
Number of non-refusals: 13234
Refusal rate: 26.02%

Filtering Statistics:
Total examples before filtering: 40000
Total examples after filtering: 39750
Examples removed (harmful): 250
Safe ratio: 99.38%

FINAL SUMMARY

Harmful prompts that model refused: 4654
Harmful prompts with generated refusals: 13234
Benign prompts: 22112
Total examples after LlamaGuard filtering: 39750
Saved to: ./dataset/synthesize_r1-distill_8B.json

README history 4 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2025-10-31Update README.md4ed69392.3 KB
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  2. 2025-10-31Create README.mdfc898232.4 KB
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  3. 2025-10-31Upload synthesize_r1-distill_8B.json with huggingface_hub6357a3a0 B
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  4. 2025-10-31initial commitc56f1390 B
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Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("Seanie-lee/ThinkSafe-R1-Distill-8B-v3")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Seanie-lee/ThinkSafe-R1-Distill-8B-v3", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Seanie-lee/ThinkSafe-R1-Distill-8B-v3
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