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Genticca/Korean_Euphemistic_Coating

published by @Genticca

Alignment dataset tracked in the /datasets sub-catalog.

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Created on HF
2025-10-20
Age
1 years ago

Description

Korean_Euphemistic_Coating

Dataset Description

This dataset was constructed by translating the original walledai/AdvBench dataset into Korean using the DeepL API.

Data Configuration

Coating_Data

These are harmful prompts generated by applying "coating" (euphemistic language) using an algorithm.

Non_Coating_Data

These are harmful prompts that have been simply translated from the original data without additional… See the full description on the dataset page: https://huggingface.co/datasets/Genticca/Korean_Euphemistic_Coating.

Tags

license:mitsize_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


license: mit

configs:

  • config_name: Coating_Data
    data_files:
    • split: train
      path: "Coating_Data/Coating_Data.parquet"
  • config_name: Non_Coating_Data
    data_files:
    • split: train
      path: "Non_Coating_Data/Non_Coating_Data.parquet"

Korean_Euphemistic_Coating

Dataset Description

This dataset was constructed by translating the original walledai/AdvBench dataset into Korean using the DeepL API.


Data Configuration

Coating_Data

  • These are harmful prompts generated by applying "coating" (euphemistic language) using an algorithm.

Non_Coating_Data

  • These are harmful prompts that have been simply translated from the original data without additional modifications.

Aattack Success Rate

Model English (Original) Korean (Non Coated) Korean (Coated)
DeepSeek-R1-7B 91.7 44.8 40.4
Hermes-3-8B 97.1 82.5 89.6
Llama-3.1-Tulu-8B 79.0 50.2 71.5
Ministral-8B 96.7 61.4 92.9
OpenThinker-7B 96.0 71.0 67.3
Qwen2.5-7B 81.3 17.3 61.0
Qwen2.5-Math-7B 76.9 1.9 0.8

README history 13 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. 2025-10-24Update README.mdb8650471.1 KB
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  2. 2025-10-24Update README.mdb58bc001.1 KB
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  3. 2025-10-24Update README.md83db46f1.1 KB
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  4. 2025-10-24Update README.md88f3236278 B
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  5. 2025-10-24Update README.md874cb78179 B
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  6. 2025-10-24Rename Non_Coating_Data/train.parquet to Non_Coating_Data/Non_Coating_Data.pa...478393d24 B
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  7. 2025-10-24Rename Coating_Data/train.parquet to Coating_Data/Coating_Data.parquet564f46e24 B
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  8. 2025-10-24Delete Original_Data/train.parquet56d918124 B
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  9. 2025-10-24Rename Non_Coating_Data.parquet to Non_Coating_Data/train.parqueta7b40ab24 B
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  10. 2025-10-24Rename Coating_Data.parquet to Coating_Data/train.parquetc1bf55124 B
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  11. 2025-10-24Rename Original_Data.parquet to Original_Data/train.parquet7c2ecf024 B
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  12. 2025-10-24Data Set Upload3f03d5b24 B
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  13. 2025-10-20initial commit94dbb6124 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2025-10-25[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
mit

Repository

Download the dataset

0

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