Name: shalanova/benchmark-4-russian-m2m
Creator: shalanova
Published: 2026-04-29T16:12:25

Description

Info:

Translated on Russian by facebook/m2m100_418M model

Source: nvidia/Aegis-AI-Content-Safety-Dataset-2.0

Domain: include heterogeneous unsafe categories (e.g., harmful instructions, sensitive topics, adversarial rephrasings) and contain prompts that do not necessarily follow canonical jailbreak templates. This increased diversity and distributional variability makes similarity-based detection more challenging and provides a stress-test for cross-lingual transfer.

Size: 1,000 prompts (500… See the full description on the dataset page: https://huggingface.co/datasets/shalanova/benchmark-4-russian-m2m.

README current version from Hugging Face

Info:

Translated on Russian by facebook/m2m100_418M model

Source: nvidia/Aegis-AI-Content-Safety-Dataset-2.0

Domain: include heterogeneous unsafe categories (e.g., harmful instructions, sensitive topics, adversarial rephrasings) and contain prompts that do not necessarily follow canonical jailbreak templates. This increased diversity and distributional variability makes similarity-based detection more challenging and provides a stress-test for cross-lingual transfer.

Size: 1,000 prompts (500 safe / 500 unsafe)

Columns:

text - original prompt
label - 0: safe, 1: unsafe
translation - prompt on Russian translated by facebook/m2m100_418M
score_ru_model - cosine similarity score with codebook

More information in paper: https://arxiv.org/abs/2604.25716

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.

2026-04-30Upload aegis-ai-content-safety-dataset-v2-russian-m2m.csva8fadd8981 B
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2026-04-30Update README.md81a43c5981 B
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2026-04-29Create README.md05435db733 B
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2026-04-29initial commit358fe870 B
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Repository

FILE .gitattributes FILE aegis-ai-content-safety-dataset-v2-russian-m2m.csv 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("shalanova/benchmark-4-russian-m2m")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="shalanova/benchmark-4-russian-m2m", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/shalanova/benchmark-4-russian-m2m

Browse repository on Hugging Face ->

shalanova/benchmark-4-russian-m2m