datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Flutter-Code-with-Questions-Dataset-Turkish
Flutter Code with Questions Dataset (Turkish)
📦 Dataset Name: flutter_code_with_questions
Bu veri seti, Flutter framework'ü ile yazılmış kod parçacıkları ve her bir kod parçası için özel olarak üretilmiş detaylı Türkçe soruları içermektedir. Veri seti, kodların eğitim verisi olarak kullanılmasının yanı sıra, LLM (Large Language Model) tabanlı kod anlama ve soru yanıtlama modellerinin geliştirilmesinde kullanılabilir.
📁 Dataset Format
Veri dosyaları CSV… See the full description on the dataset page: https://huggingface.co/datasets/NoirZangetsu/Flutter-Code-with-Questions-Dataset-Turkish.Flutter-Code-with-Questions-Dataset-English
🧠 Flutter Code with Questions Dataset (English)
This repository contains a high-quality dataset of Flutter-related code snippets paired with automatically generated English technical questions. The dataset is intended for use in training and fine-tuning language models, coding assistants, and educational systems focused on Flutter development.
📂 Dataset Structure
The dataset is divided into 22 CSV files, each containing 200 entries. Every entry includes:
A… See the full description on the dataset page: https://huggingface.co/datasets/NoirZangetsu/Flutter-Code-with-Questions-Dataset-English.Question-Answering-Generation-Choices
The dataset is a merged compilation of QuAIL, RACE, and Cosmos QA datasets,
having undergone preprocessing.
Dermatology-Question-Answer-Dataset-For-Fine-Tuning
Dataset Details
The data set has about 1 Million Tokens for Training and about 1500 question answers.
Dataset Description
This dataset is a comprehensive compilation of questions related to dermatology, spanning inquiries about various skin diseases, their symptoms, recommended medications, and available treatment modalities. Each question is paired with a concise and informative response, making it an ideal resource for training and fine-tuning language models in the… See the full description on the dataset page: https://huggingface.co/datasets/Mreeb/Dermatology-Question-Answer-Dataset-For-Fine-Tuning.QuestionAnswer_MCQarabic_dialects_question_and_answerData Content
The file provided: Q/A Reasoning dataset
contains the following columns:
ID # : Denotes the reference ID for:
a. Question
b. Answer to the question
c. Hint
d. Reasoning
e. Word count for items a to d above
Dialects: Contains the following dialects in separate columns:
a. English
b. MSA
c. Emirati
d. Egyptian
e. Levantine Syria
f. Levantine Jordan
g. Levantine Palestine
h. Levantine Lebanon
Data Generation Process
The following are the steps that were followed to curate the data:… See the full description on the dataset page: https://huggingface.co/datasets/CNTXTAI0/arabic_dialects_question_and_answer.Financial_Questionssiddha_vaithiyam_question_answering_chatbot
Medical Home Remedy Chatbot Dataset
Overview
This dataset is designed for a chatbot that answers questions related to medical problems with simple home remedies. The information in this dataset has been sourced from old books containing traditional remedies used in the past.
Contents
Dataset Files:
dataset.csv : The main dataset file containing questions and corresponding home remedy answers.
Data Structure:
Each row in the CSV file… See the full description on the dataset page: https://huggingface.co/datasets/RahulS3/siddha_vaithiyam_question_answering_chatbot.synthetic-thai-follow-up-questiondividend-common-question
Dividend Common Question Dataset
📖 개요
이 데이터셋은 배당주 투자 관련 자주 묻는 질문과 답변을 Alpaca 포맷(instruction, input, output)으로 구성한 학습용 자료입니다.총 10여 개의 샘플이 포함되어 있으며, 파인튜닝 실습이나 자연어 처리 모델 학습에 활용할 수 있습니다.
📂 데이터 구조
데이터는 CSV 파일(dividend-common-question.csv)로 제공되며, 다음과 같은 열을 포함합니다:
instruction: 모델에게 주는 지시문 (예: "배당성향이 높아야 좋은 건가요?")
input: 지시문을 수행하는 데 필요한 추가 입력 (없으면 빈칸)
output: 모델이 생성해야 하는 답변 (예: "꼭 그렇다고 할 수는 없습니다...")
예시
instruction,input,output
"시가배당수익률이 높으면 좋은… See the full description on the dataset page: https://huggingface.co/datasets/ycryu/dividend-common-question.