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RumiaChannel/harmful_behaviors_ja

published by @RumiaChannel

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
183
Last 30 days
35
Likes
-
Size
25 KB
Created on HF
2026-05-04
Age
5 months ago

Description

harmful_behaviors_ja_synth

mlabonne/harmful_behaviors を DeepSeek v4 pro を用いて日本語訳したものです

Japanese synthetic harmful-behavior prompts for safety/refusal evaluation.

Columns:

text: prompt text

Tags

task_categories:text-generationsource_datasets:extended|mlabonne/harmful_behaviorslanguage:jasize_categories:n<1Kformat:parquetformat:optimized-parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:ustextjapanesesafetyai-safetyred-teamingharmful-behaviorsjailbreakalignmentllmpromptsmachine-translatedtranslateddatasetspandas

README current version from Hugging Face

language:

  • ja

pretty_name: Harmful Behaviors JA

tags:

  • text
  • japanese
  • safety
  • ai-safety
  • red-teaming
  • harmful-behaviors
  • jailbreak
  • alignment
  • llm
  • prompts
  • machine-translated
  • translated
  • datasets
  • pandas

task_categories:

  • text-generation

size_categories:

  • n<1K

source_datasets:

  • extended|mlabonne/harmful_behaviors

configs:

  • config_name: default
    data_files:
    • split: train
      path: data/train-00000-of-00001.parquet
    • split: test
      path: data/test-00000-of-00001.parquet

harmful_behaviors_ja_synth

mlabonne/harmful_behaviors を DeepSeek v4 pro を用いて日本語訳したものです

Japanese synthetic harmful-behavior prompts for safety/refusal evaluation.

Columns:

  • text: prompt text

README history 6 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.

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  5. 2026-05-04Upload 3 filesec7500c324 B
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  6. 2026-05-04initial commit6f52c680 B
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Used by abliterated models none yet

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Read further

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When the reference pair is not enough. Sizing, framing, and evaluation.
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The five corpora that did most of the work.
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Repository

DIR data 2 files FILE .gitattributes FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

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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("RumiaChannel/harmful_behaviors_ja")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="RumiaChannel/harmful_behaviors_ja", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/RumiaChannel/harmful_behaviors_ja
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