datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
kinya-ag-retrieval
Kinyarwanda Agricultural Retrieval Dataset
In Rwanda, many farmers struggle to access timely, personalized agricultural information. Traditional channels - like radio, TV, and online sources - offer limited reach and interactivity, while extension services and a national call center, staffed by only two agents for over two million farmers, face capacity constraints. To address these gaps, we developed a 24/7 AI-enabled Interactive Voice Response (IVR) tool. Accessible via a… See the full description on the dataset page: https://huggingface.co/datasets/C4IR-RW/kinya-ag-retrieval.c4-faqs
Dataset Card for [Dataset Name]
Dataset Summary
This dataset comprises of open-domain question-answer pairs obtained from extracting 150K FAQ URLs from C4 dataset. Please refer to the original paper and dataset card for more details.
You can load C4-FAQs as follows:
from datasets import load_dataset
c4_faqs_dataset = load_dataset("vishal-burman/c4-faqs")
Supported Tasks and Leaderboards
C4-FAQs is mainly intended for open-domain end-to-end question… See the full description on the dataset page: https://huggingface.co/datasets/vishal-burman/c4-faqs.jawiki-20220404-c400This dataset is used for AIO (AI王), a competition to promote research on question answering systems for the Japanese language. This dataset contains passages, each of which consists of consecutive sentences
no longer than 400 characters from Japanese Wikipedia as of 2022-04-04.