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Trelis/hh-rlhf-dpo

Name: Trelis/hh-rlhf-dpo
Creator: Trelis
Published: 2023-11-13T10:54:53
License: other

published by @Trelis

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

544

Last 30 days

Likes

Size

205.2 MB

Created on HF

2023-11-13

Age

2 years ago

Description

DPO formatted Helpful and Harmless RLHF Dataset

This dataset is built from Anthropic's hh-rlhf dataset.

It is modified as follows:

The prompt formatting is switched to the Llama 2 format with [INST] and [/INST]

The data is split into prompt, chosen and rejected rows, as required by HuggingFace's DPO trainer.

Purchase access to this dataset here. Purchase entitles the user to make use of the dataset for training large language models.

The original dataset card follows below:… See the full description on the dataset page: https://huggingface.co/datasets/Trelis/hh-rlhf-dpo.

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.

2023-11-14[bot] Conversion to Parquetopen1 💬#1
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Metadata

License

other

Repository

FILE .gitattributes FILE README.md FILE test.csv FILE train.csv

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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("Trelis/hh-rlhf-dpo")

Raw snapshot (Python)

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

git clone (requires git-lfs)

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

Browse repository on Hugging Face ->