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saepark/hh-rlhf-harmless-base-single-turn

Name: saepark/hh-rlhf-harmless-base-single-turn
Creator: saepark
Published: 2025-11-06T03:25:17

published by @saepark

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

125

Last 30 days

Likes

Size

4.1 MB

Created on HF

2025-11-06

Age

11 months ago

README current version from Hugging Face

dataset_info:
features:

name: chosen
list:
- name: content
  dtype: string
- name: role
  dtype: string
name: rejected
list:
- name: content
  dtype: string
- name: role
  dtype: string
name: prompt
dtype: string
splits:
name: train
num_bytes: 17422080.88294896
num_examples: 12206
name: test
num_bytes: 977898.6098615917
num_examples: 661
download_size: 4348462
dataset_size: 18399979.49281055
configs:
config_name: default
data_files:
- split: train
  path: data/train-*
- split: test
  path: data/test-*

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.

2025-11-06Upload dataset61d082d615 B
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2025-11-06initial commitf0a94310 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.

2025-11-07[bot] Conversion to Parquetopen1 💬#1
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Repository

DIR data 2 files 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("saepark/hh-rlhf-harmless-base-single-turn")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="saepark/hh-rlhf-harmless-base-single-turn", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/saepark/hh-rlhf-harmless-base-single-turn

Browse repository on Hugging Face ->