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ai2-adapt-dev/hh-rlhf-harmless

Name: ai2-adapt-dev/hh-rlhf-harmless
Creator: ai2-adapt-dev
Published: 2024-08-28T21:11:14

published by @ai2-adapt-dev

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

414

Last 30 days

Likes

Size

47.0 MB

Created on HF

2024-08-28

Age

2 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: messages
list:
- name: content
  dtype: string
- name: role
  dtype: string
  splits:
name: train
num_bytes: 85490221.90803301
num_examples: 42393
name: test
num_bytes: 4826454.47750865
num_examples: 2304
download_size: 49264716
dataset_size: 90316676.38554166
configs:
config_name: default
data_files:
- split: train
  path: data/train-*
- split: test
  path: data/test-*

README history 5 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.

2024-08-28Upload create_dataset.py with huggingface_hubd4e617a687 B
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2024-08-28Upload dataset8db1de5687 B
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2024-08-28Upload create_dataset.py with huggingface_hub4a37a86665 B
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2024-08-28Upload datasetb022354665 B
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2024-08-28initial commit3d4ff300 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.

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Non-English abliteration communities

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Repository

DIR data 2 files FILE .gitattributes FILE create_dataset.py 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("ai2-adapt-dev/hh-rlhf-harmless")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="ai2-adapt-dev/hh-rlhf-harmless", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/ai2-adapt-dev/hh-rlhf-harmless

Browse repository on Hugging Face ->