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nayohan/hh-rlhf-ko

Name: nayohan/hh-rlhf-ko
Creator: nayohan
Published: 2024-07-17T17:53:52

published by @nayohan

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

571

Last 30 days

Likes

Size

175.0 MB

Created on HF

2024-07-17

Age

2 years ago

Description

Translated Anthropic/hh-rlhf using nayohan/llama3-instrucTrans-enko-8b.

This dataset is a raw translated dataset and contains repetitive sentences generated by the model, so it needs to be filtered.

README current version from Hugging Face

dataset_info:
features:

name: chosen
dtype: string
name: rejected
dtype: string
splits:
name: train
num_bytes: 390505876
num_examples: 160800
download_size: 183529992
dataset_size: 390505876
configs:
config_name: default
data_files:
- split: train
  path: data/train-*
  language:
ko
tags:
instruction
rlhf

Translated Anthropic/hh-rlhf using nayohan/llama3-instrucTrans-enko-8b.

This dataset is a raw translated dataset and contains repetitive sentences generated by the model, so it needs to be filtered.

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.

2024-07-17Update README.md6d1fb56679 B
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2024-07-17Upload dataset8170210321 B
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2024-07-17initial commit777878c0 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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Repository

DIR data 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("nayohan/hh-rlhf-ko")

Raw snapshot (Python)

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

git clone (requires git-lfs)

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

Browse repository on Hugging Face ->