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weepcat/hh-rlhf

Name: weepcat/hh-rlhf
Creator: weepcat
Published: 2024-12-13T11:21:43

published by @weepcat

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

348

Last 30 days

Likes

Size

170.3 MB

Created on HF

2024-12-13

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
  splits:
name: test
num_bytes: 14134263.492048644
num_examples: 8458
name: train
num_bytes: 305258454
num_examples: 157650
download_size: 323763891
dataset_size: 319392717.4920486
configs:
config_name: default
data_files:
- split: train
  path: data/train-*
- split: test
  path: data/test-*

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.

2024-12-30Upload dataset047c68d577 B
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2024-12-13Upload datasetd45ee76586 B
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2024-12-13Upload dataset3c90208477 B
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2024-12-13initial commit856db6d0 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.

2024-12-14[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("weepcat/hh-rlhf")

Raw snapshot (Python)

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

git clone (requires git-lfs)

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

Browse repository on Hugging Face ->