zulu
Datasets
All datasets matching “zulu”RaCig-Datazulu_stanceThis is a stance detection dataset in the Zulu language. The data is translated to Zulu by Zulu native speakers, from English source texts.
Misinformation has become a major concern in recent last years given its
spread across our information sources. In the past years, many NLP tasks have
been introduced in this area, with some systems reaching good results on
English language datasets. Existing AI based approaches for fighting
misinformation in literature suggest automatic stance detection as an integral
first step to success. Our paper aims at utilizing this progress made for
English to transfers that knowledge into other languages, which is a
non-trivial task due to the domain gap between English and the target
languages. We propose a black-box non-intrusive method that utilizes techniques
from Domain Adaptation to reduce the domain gap, without requiring any human
expertise in the target language, by leveraging low-quality data in both a
supervised and unsupervised manner. This allows us to rapidly achieve similar
results for stance detection for the Zulu language, the target language in
this work, as are found for English. We also provide a stance detection dataset
in the Zulu language.zulu-music-listening-clipsCode-170k-zulu
Dataset Description
Code-170k-zulu is a groundbreaking dataset containing 176,999 programming conversations, originally sourced from glaiveai/glaive-code-assistant-v2 and translated into Zulu, making coding education accessible to Zulu speakers.
🌟 Key Features
176,999 high-quality conversations about programming and coding
Pure Zulu language - democratizing coding education
Multi-turn dialogues covering various programming concepts
Diverse topics: algorithms, data… See the full description on the dataset page: https://huggingface.co/datasets/michsethowusu/Code-170k-zulu.alpaca-zulu-cleanedThis repository contains the dataset used for the TaCo paper.
Please refer to the paper for more details: OpenReview
If you have used our dataset, please cite it as follows:
Citation
@inproceedings{upadhayay2024taco,
title={TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in {LLM}s through Translation-Assisted Chain-of-Thought Processes},
author={Bibek Upadhayay and Vahid Behzadan},
booktitle={5th Workshop on practical ML for limited/low resource settings, ICLR},
year={2024}… See the full description on the dataset page: https://huggingface.co/datasets/saillab/alpaca-zulu-cleaned.afrispeech_zulu