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RumiaChannel/harmless_behaviors_ja_synth

published by @RumiaChannel

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
207
Last 30 days
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Likes
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Size
291 KB
Created on HF
2026-05-04
Age
5 months ago

Description

harmless_behaviors_ja_synth

Japanese synthetic harmless instruction prompts for ordinary-response / refusal-direction evaluation.

Splits

train: 2400

test: 600

Columns

id: stable hash ID

text: Japanese harmless instruction prompt

label: always good

category: rough generation category

lang: always ja

source: generation source

Tags

task_categories:text-generationtask_categories:text-classificationannotations_creators:machine-generatedlanguage_creators:machine-generatedmultilinguality:monolingualsource_datasets:originallanguage:jalicense:cc0-1.0size_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:ustextjapanesesyntheticsynthetic-datamachine-generatedllm-generateddeepseekharmlessharmless-behaviorssafe-promptsbenign-promptsordinary-instructionsinstruction-followingrefusal-evaluationsafety-evaluationai-safetyalignmentred-teamingpreference-databinary-safetyllmpromptsdatasetspandas

README current version from Hugging Face

language:

  • ja
    pretty_name: Harmless Behaviors JA Synth
    annotations_creators:
  • machine-generated
    language_creators:
  • machine-generated
    multilinguality:
  • monolingual
    task_categories:
  • text-generation
  • text-classification
    size_categories:
  • 1K<n<10K
    source_datasets:
  • original
    tags:
  • text
  • japanese
  • synthetic
  • synthetic-data
  • machine-generated
  • llm-generated
  • deepseek
  • harmless
  • harmless-behaviors
  • safe-prompts
  • benign-prompts
  • ordinary-instructions
  • instruction-following
  • refusal-evaluation
  • safety-evaluation
  • ai-safety
  • alignment
  • red-teaming
  • preference-data
  • binary-safety
  • llm
  • prompts
  • datasets
  • pandas
  • polars
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-00000-of-00001.parquet
    • split: test
      path: data/test-00000-of-00001.parquet
      license: cc0-1.0

harmless_behaviors_ja_synth

Japanese synthetic harmless instruction prompts for ordinary-response / refusal-direction evaluation.

Splits

  • train: 2400
  • test: 600

Columns

  • id: stable hash ID
  • text: Japanese harmless instruction prompt
  • label: always good
  • category: rough generation category
  • lang: always ja
  • source: generation source

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. 2026-05-05Update README.mdc5ccdfb1.2 KB
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  2. 2026-05-04Create README.md9096ff2544 B
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  3. 2026-05-04Upload 2 filesba8f1ab0 B
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  4. 2026-05-04initial commit61646a30 B
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Metadata

License
cc0-1.0

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.

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