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kpriyanshu256/aya-redteaming-full

Name: kpriyanshu256/aya-redteaming-full
Creator: kpriyanshu256
Published: 2025-05-30T01:42:44

published by @kpriyanshu256

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

293

Last 30 days

Likes

Size

1004 KB

Created on HF

2025-05-29

Age

1 years ago

README current version from Hugging Face

dataset_info:
features:

name: prompt
dtype: string
name: language
dtype: string
name: harm_category
dtype: string
name: global_or_local
dtype: string
name: literal_translation
dtype: string
name: semantic_translation
dtype: string
name: explanation
dtype: string
name: index_level_0
dtype: int64
splits:
name: test
num_bytes: 2103171
num_examples: 7419
download_size: 1025077
dataset_size: 2103171
configs:
config_name: default
data_files:
- split: test
  path: data/test-*

README history 3 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.

2025-05-30Upload dataset4d46647578 B
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2025-05-30Upload dataset0721632532 B
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2025-05-30initial commit338c6130 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.

2025-05-31[bot] Conversion to Parquetopen1 💬#1
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Repository

DIR data FILE .gitattributes FILE README.md

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

Download the dataset

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("kpriyanshu256/aya-redteaming-full")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="kpriyanshu256/aya-redteaming-full", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/kpriyanshu256/aya-redteaming-full

Browse repository on Hugging Face ->