evaluate 0 0 0

iagoalves/wildguardmix_Qwen3-8B_jb_guardrail

Name: iagoalves/wildguardmix_Qwen3-8B_jb_guardrail
Creator: iagoalves
Published: 2025-05-28T15:06:09

published by @iagoalves

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

225

Last 30 days

Likes

Size

4.6 MB

Created on HF

2025-05-28

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: model_reasoning
dtype: string
name: model_answer
dtype: string
splits:
name: train
num_bytes: 9118948
num_examples: 5084
download_size: 4828443
dataset_size: 9118948
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.

2025-05-28Upload datasete639048621 B
Loading...
2025-05-28initial commit6c380810 B
Loading...

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.

Related datasets same stage · evaluate

Read further

Community best practices (evaluation)

4 rules on judges, benchmarks, and reporting.

Reference-set drift over time

Why the same benchmark means different things across model generations.

How we label the method for each model

The 12 classification rules that assign M1-M8 to every model.

Non-English abliteration communities

The Korean scepticism about one-click tools and non-English benchmark blindspots.

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_Qwen3-8B_jb_guardrail")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="iagoalves/wildguardmix_Qwen3-8B_jb_guardrail", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/iagoalves/wildguardmix_Qwen3-8B_jb_guardrail

Browse repository on Hugging Face ->