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kh4dien/hh_rlhf_60k

Name: kh4dien/hh_rlhf_60k
Creator: kh4dien
Published: 2025-04-29T02:29:28

published by @kh4dien

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

325

Last 30 days

Likes

Size

63.5 MB

Created on HF

2025-04-29

Age

1 years 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: source
dtype: string
splits:
name: train
num_bytes: 117635800
num_examples: 60000
name: test
num_bytes: 1464658
num_examples: 752
download_size: 66581751
dataset_size: 119100458
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.

2025-04-29Upload datasetb805b43590 B
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2025-04-29initial commitecc9e0f0 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.

2025-04-30[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("kh4dien/hh_rlhf_60k")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="kh4dien/hh_rlhf_60k", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/kh4dien/hh_rlhf_60k

Browse repository on Hugging Face ->