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iagoalves/wildguardmix_train_puro

Name: iagoalves/wildguardmix_train_puro
Creator: iagoalves
Published: 2025-06-16T17:16:49

published by @iagoalves

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

326

Last 30 days

Likes

Size

50.3 MB

Created on HF

2025-06-16

Age

1 years ago

README current version from Hugging Face

dataset_info:
features:

name: prompt
dtype: string
name: adversarial
dtype: bool
name: response
dtype: string
name: prompt_harm_label
dtype: string
name: response_refusal_label
dtype: string
name: response_harm_label
dtype: string
name: subcategory
dtype: string
name: is_safe
dtype: bool
name: category
dtype: string
splits:
name: train
num_bytes: 115801928
num_examples: 86759
download_size: 52708682
dataset_size: 115801928
configs:
config_name: default
data_files:
- split: train
  path: data/train-*

README history 2 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.

2025-06-16Upload dataseta4349cf613 B
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2025-06-16initial commit52ab5170 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.

2025-06-17[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("iagoalves/wildguardmix_train_puro")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="iagoalves/wildguardmix_train_puro", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/iagoalves/wildguardmix_train_puro

Browse repository on Hugging Face ->