Description

This dataset is used to run sft on the chosen responses of Anthropic/HH-RLHF (helpful). Note that helpful is the sum of the three subsplits, helpful-base, helpful-online, and helpful-rejection-sampled

README current version from Hugging Face

dataset_info:
features:

name: prompt
dtype: string
name: messages
list:
- name: content
  dtype: string
- name: role
  dtype: string
  splits:
name: train
num_bytes: 140717813
num_examples: 118263
name: test
num_bytes: 7498961
num_examples: 6240
download_size: 82749325
dataset_size: 148216774
configs:
config_name: default
data_files:
- split: train
  path: data/train-*
- split: test
  path: data/test-*

This dataset is used to run sft on the chosen responses of Anthropic/HH-RLHF (helpful). Note that helpful is the sum of the three subsplits, helpful-base, helpful-online, and helpful-rejection-sampled

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.

2025-02-08Update README.mdfc5d826690 B
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2025-02-08Upload dataset867958a488 B
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2025-02-08initial commitfb024d40 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 2 threads · 2 open · 2 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.

2025-02-15PRLibrarian Bot: Add language metadata for datasetopen1 💬#2
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2025-02-09[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

0

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("Taywon/HH_chosen_sft")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="Taywon/HH_chosen_sft", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/Taywon/HH_chosen_sft

Browse repository on Hugging Face ->

Taywon/HH_chosen_sft