configs:
- config_name: default
data_files:- split: train
path: Train.csv - split: test
path: Test.csv - split: validation
path: Validation.csv
license: mit
language:
- split: train
- en
CulturaX Dataset
Overview
This dataset contains responses evaluating Helpful, Honest, and Harmless (HHH) properties along with domain and class information.
Usage
You can easily load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("impressive-east579/CulturaX")
print(dataset['train'][0])
@inproceedings{kashyap2026aligncultura,
title={AlignCultura: Towards Culturally Aligned Large Language Models?},
author={Kashyap, Gautam Siddharth and Dras, Mark and Naseem, Usman},
booktitle={Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
pages={37986--37996},
year={2026}
}
To see the HHH General English language aligned datasets, visit the following link:
https://huggingface.co/datasets/impressive-east579/HHH_DATA