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MWilinski/hh-rlhf-irl

Name: MWilinski/hh-rlhf-irl
Creator: MWilinski
Published: 2026-02-19T22:05:35

published by @MWilinski

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

309

Last 30 days

Likes

Size

15.8 MB

Created on HF

2026-02-19

Age

8 months ago

README current version from Hugging Face

dataset_info:
features:

name: prompt_idx
dtype: int64
name: system_prompt
dtype: string
name: prompt
list:
- name: content
  dtype: string
- name: role
  dtype: string
name: completion
dtype: string
name: system_prompt_type
dtype: string
name: source_dataset
dtype: string
name: split
dtype: string
name: helpful_reward
dtype: float64
name: harmless_reward
dtype: float64
splits:
name: train
num_bytes: 43595059
num_examples: 9998
download_size: 16569747
dataset_size: 43595059
configs:
config_name: default
data_files:
- split: train
  path: data/train-*

README history 4 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.

2026-03-23Upload dataset2cc4057680 B
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2026-03-12Upload dataset0175cc3680 B
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2026-02-19Upload dataset5b4a444645 B
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2026-02-19initial commita3afc0e0 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.

2026-02-20[bot] Conversion to Parquetopen1 💬#1
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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("MWilinski/hh-rlhf-irl")

Raw snapshot (Python)

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

git clone (requires git-lfs)

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

Browse repository on Hugging Face ->