misc gated 0 0

SulthanAbiyyu/anak-baik-rejection-classification

Name: SulthanAbiyyu/anak-baik-rejection-classification
Creator: SulthanAbiyyu
Published: 2024-08-16T08:04:36

published by @SulthanAbiyyu

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

303

Last 30 days

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Size

2.9 MB

Created on HF

2024-08-16

Age

2 years ago

Description

Anak-Baik Rejection Classification: Overview

The Anak-Baik Rejection Classification dataset is a curated collection of labeled instructional rejections in Bahasa Indonesia,

specifically designed for Supervised Fine-Tuning (SFT) tasks.

This dataset includes examples of both harmful and harmless instructions, along with labels indicating whether an instruction should be answered or rejected.

This dataset aimed at promoting ethical AI development (hence the name; anak baik ==… See the full description on the dataset page: https://huggingface.co/datasets/SulthanAbiyyu/anak-baik-rejection-classification.

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.

2024-08-17[bot] Conversion to Parquetopen1 💬#1
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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("SulthanAbiyyu/anak-baik-rejection-classification")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="SulthanAbiyyu/anak-baik-rejection-classification", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/SulthanAbiyyu/anak-baik-rejection-classification

Browse repository on Hugging Face ->