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smohammadi/hh-rlhf

Name: smohammadi/hh-rlhf
Creator: smohammadi
Published: 2025-12-04T13:01:33

published by @smohammadi

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

400

Last 30 days

Likes

Size

171.8 MB

Created on HF

2025-12-04

Age

10 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
  splits:
name: train
num_bytes: 312895884
num_examples: 160309
name: test
num_bytes: 16789423
num_examples: 8523
download_size: 180194481
dataset_size: 329685307
configs:
config_name: default
data_files:
- split: train
  path: data/train-*
- split: test
  path: data/test-*

README history 3 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.

2026-01-04Upload dataset9701a32559 B
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2025-12-04Upload dataset3e38c1c453 B
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2025-12-04initial commit3060e550 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.

2025-12-05[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("smohammadi/hh-rlhf")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="smohammadi/hh-rlhf", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/smohammadi/hh-rlhf

Browse repository on Hugging Face ->