misc gated 0 0

transZ/anthropic_harmless_test

published by @transZ

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
107
Last 30 days
15
Likes
-
Size
1.7 MB
Created on HF
2026-01-23
Age
9 months ago

Description

This is the adapted version of harmless test set of Anthropic HH dataset using the format of RLHFlow.

Below is the code to recreate this dataset.

import json

from datasets import Dataset

path = 'anthropic_hh_origin/harmless-base/test.jsonl'

def convert_to_json(text):

# Split the text by lines and remove empty ones

lines = [line.strip() for line in text.strip().split('\n') if line.strip()]

formatted_data = []

current_role = None

current_content = []

for line in… See the full description on the dataset page: https://huggingface.co/datasets/transZ/anthropic_harmless_test.

Tags

task_categories:text-classificationlanguage:enlicense:mitsize_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

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. 2026-01-24[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
mit

Repository

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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