Internal copy of https://huggingface.co/datasets/Anthropic/hh-rlhf.
extract 0 0 0
north/hh-rlhf-helpful
published by @north
Alignment dataset tracked in the /datasets sub-catalog.
Lifetime downloads
517
Last 30 days
22
Likes
-
Size
91.3 MB
Created on HF
2024-11-25
Age
1 years ago
Description
Internal copy of https://huggingface.co/datasets/Anthropic/hh-rlhf.
Tags
README
README history
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.
2024-11-25First
Loading...2024-11-25Track .jsonl files with Git LFS
Loading...2024-11-25Create README.md
Loading...2024-11-25initial commit
Loading...
Used by abliterated models
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
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.
2024-11-26[bot] Conversion to Parquet
Loading...
Related datasets
Read further
Community best practices (extraction)
5 rules the field converged on for building the pair.
Building your own extraction pair
When the reference pair is not enough. Sizing, framing, and evaluation.
Datasets that shaped abliteration
The five corpora that did most of the work.
Non-English abliteration communities
How Chinese, Russian, Japanese, and Korean practitioners build extraction pairs.
Repository
Download the dataset
0Copy 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("north/hh-rlhf-helpful") Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="north/hh-rlhf-helpful", repo_type="dataset") git clone (requires git-lfs)
git clone https://huggingface.co/datasets/north/hh-rlhf-helpful