datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Pidgin-QandA-data-samples
Pidgin Question-Answer Dataset (Sample)
Sample dataset: Nigerian Pidgin conversational Q&A for dialogue systems and language modeling
🤗 Hugging Face • 📊 Figshare • 🌐 Website • 📧 Contact
📋 Overview
The Pidgin Question-Answer Dataset (Sample) is a conversational corpus containing 1,462 question-answer pairs entirely in Nigerian Pidgin English. Created by Bytte AI through AI chatbot interactions with human validation, this sample dataset supports dialogue… See the full description on the dataset page: https://huggingface.co/datasets/Bytte-AI/Pidgin-QandA-data-samples.ayurveda-text-based-qandaReasoning-Socratic-QandA
Reasoning-Socratic-QandA Dataset
This dataset is a curated mixture of three high-quality data sources, specifically engineered to train Socratic Tutors. It balances the model's ability to think deeply (Reasoning), guide students through questioning (Pedagogy), and provide direct answers when necessary (Support).
Dataset Composition
Dataset
Role in your tutor
Size
Weight
DASD Stage 1
Teaches deep reasoning — how to work through math/code/science problems… See the full description on the dataset page: https://huggingface.co/datasets/Bialy17/Reasoning-Socratic-QandA.QandA-Dataset-VianjiThis a very messy, raw dataset. Cleaned version coming soon.
usd-qandaQandAblockchain-datasets-for-QandAcardio_qanda_from_chunkscardio_qanda_from_chunks_historycardio_qanda_openassistantQandA_MixtralQ_and_AQandACreationParaphrased_Medical_QandAThe paraphrased data is referenced from
@ARTICLE{BenAbacha-BMC-2019,
author = {Asma {Ben Abacha} and Dina Demner{-}Fushman},
title = {A Question-Entailment Approach to Question Answering},
journal = {{BMC} Bioinform.},
volume = {20},
number = {1},
pages = {511:1--511:23},
year = {2019},
url = {https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-3119-4}
}
Transformed_medical_QandAmath-qanda
Math Q&A Dataset
This dataset contains basic math questions and answers suitable for school-level practice.
Dataset Structure
id: Unique identifier for each Q&A pair.
question: The math question.
answer: The correct answer.
Example
{
"id": 1,
"question": "What is 14 × 16?",
"answer": "The answer is 224."
}
QandA_Qwen2QandAProverbsWisdom