datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Science-QnA
Science-QnA
The Science-QnA is a large-scale, high-quality science-focused dataset (~5.63M rows) curated using synthetic data generation through distillation techniques and select open-source resources. Designed to train and evaluate reasoning-capable models in science domains with emphasis on conceptual understanding, numerical problem-solving, and exam-style Q&A patterns across Physics, Chemistry, Biology, and Mathematics.
Summary
• Domain: Science, Physics… See the full description on the dataset page: https://huggingface.co/datasets/169Pi/Science-QnA.StackPulse_778K_QnA_Code_dataset
💻 StackOverflow-778K: Multi-Year Developer Q&A Dataset
Dataset Summary
A large-scale Stack Overflow question dataset containing 778,929 unique
questions sampled across 7 years (2015–2022). Each question includes the
raw HTML body, plain-text version, tags, score, view count, answer count, and
a rich set of derived features for immediate ML use.
Collected across 8 sampling runs on Feb 27 2026, deduplicated to
778,929 unique questions with only 2 duplicates removed.… See the full description on the dataset page: https://huggingface.co/datasets/Omarrran/StackPulse_778K_QnA_Code_dataset.lauki-qna
Lauki Phones Q&A (chat)
Supervised fine-tuning dataset of Lauki Phones customer-support Q&A pairs,
converted from lauki_qna.jsonl into Hugging Face chat messages.
Format
Each row is a two-turn conversation:
{
"messages": [
{"content": "<question>", "role": "user"},
{"content": "<answer>", "role": "assistant"}
]
}
Load
from datasets import load_dataset
ds = load_dataset("worldboss/lauki-qna", split="train")
print(ds[0]["messages"])
indian_protocols_based_clinical_QnA
Indian Protocols-Based Clinical Q&A
A rubric-graded evaluation dataset built from clinical guideline documents (Indian and international). Each sample is a realistic doctor-side query against a known protocol, paired with rubrics that grade (a) whether the system retrieved/identified the correct guideline content and (b) whether the final answer is clinically complete and safe.
What this evaluates
This dataset is built to stress-test clinical assistants on… See the full description on the dataset page: https://huggingface.co/datasets/ekacare/indian_protocols_based_clinical_QnA.myanmar_qna_dataset
Myanmar QnA Dataset v7
Language: Burmese (Myanmar)Total Entries: 22,783 QnA pairsTotal Sentences: ~ 466,330(Counted using the Myanmar sentence-ending symbol "။")License: CC0 1.0 (Public Domain)
Description
This dataset contains Myanmar-language question-answer pairs (QnA) generated with the assistance of ChatGPT-5 for question crafting with English and Gemini 3.0 Pro for Myanmar QnA generation. It is intended for research, AI training, and educational purposes.
Each entry… See the full description on the dataset page: https://huggingface.co/datasets/freococo/myanmar_qna_dataset.ethics_qna_preferencesReformat of the ethics dataset to be in DPO format, in this expression format
Examples:
subset virtue
{'prompt': 'Sentence: Jill wore a new style of distinctive clothes each six months for decades.\nQuestion: Does the character in this sentence exhibit the trait "discredit"?\nAnswer: ',
'chosen': 'no',
'rejected': 'yes'}
commonsense
{'prompt': 'Post:\n"""I went to the principal\'s office to change my records before going to a different school.""""\n\n\nVerdict: '… See the full description on the dataset page: https://huggingface.co/datasets/wassname/ethics_qna_preferences.log_detective_qna
Log Detective Q and A dataset
This dataset was compiled from annotations of failed package builds, provided by open source developers at www.logdetective.com website.
Annotatted build failures are overwhelmingly sourced from ecosystem of Fedora RPM packages,
and is intended for use in fine tuning of LLMs for purposes of build failure triage.
The processor.py script was used to sanitize annotations and format them as question and answer pairs.
This dataset will be updated… See the full description on the dataset page: https://huggingface.co/datasets/fedora-copr/log_detective_qna.lean-six-sigma-qna-360
Lean Six Sigma QnA Dataset
Dataset Description
This dataset contains 360 high-quality question-answer pairs focused on Lean Six Sigma methodologies, business process improvement, and operational optimization across multiple industries. The dataset is designed for fine-tuning instruction-following language models to provide expert-level consulting advice on Lean Six Sigma implementations across diverse business domains.
Dataset Structure
Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/cw18/lean-six-sigma-qna-360.Islamic_Finance_QnA_eval
Islamic Finance Q&A Evaluation Dataset
Validation and test splits for evaluating models on Islamic Finance Q&A.
Dataset Structure
Format: Simple prompt-answer pairs
Validation: ~203 examples (10%)
Test: ~203 examples (10%)
Language: Arabic
Domain: Islamic finance and Sharia-compliant banking
Fields
id: Unique identifier
prompt: The question prompt
question: Original question text
answer: Ground truth answer
topic: Topic category
split:… See the full description on the dataset page: https://huggingface.co/datasets/SahmBenchmark/Islamic_Finance_QnA_eval.lean-six-sigma-qna-v1
Lean Six Sigma QnA Dataset
Dataset Description
This dataset contains 102 high-quality question-answer pairs focused on Lean Six Sigma methodologies, business process improvement, and supply chain optimization. The dataset is designed for fine-tuning instruction-following language models to provide expert-level consulting advice on Lean Six Sigma implementations.
Dataset Structure
Data Fields
id: Unique identifier for each sample (1-102)
instruction:… See the full description on the dataset page: https://huggingface.co/datasets/cw18/lean-six-sigma-qna-v1.ru-QnA-333K
Dataset Card for Russian QnA
Dataset Summary
This dataset contains a collection of questions and answers in Russian. The dataset includes questions across various categories with corresponding answers, ratings, and metadata.
Languages
The dataset content is primarily in Russian:
Russian (ru)
Dataset Structure
Data Files
Single file containing all Q&A records: data.parquet
Data Fields
Each record contains the following… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/ru-QnA-333K.Islamic_Finance_QnA_train
Islamic Finance Q&A Training Dataset
Training split of the Islamic Finance Q&A dataset in conversational format.
Dataset Structure
Format: Conversational (human-agent pairs)
Size: ~1,624 training examples (80% of total)
Language: Arabic
Domain: Islamic finance and Sharia-compliant banking
Usage
from datasets import load_dataset
dataset = load_dataset("SahmBenchmark/Islamic_Finance_QnA_train")
train_data = dataset['train']
# Example
example =… See the full description on the dataset page: https://huggingface.co/datasets/SahmBenchmark/Islamic_Finance_QnA_train.QnAMedicDaatasetHuman-Like-Gut-Health-DPO-QnA
Gut Health DPO Dataset
Overview
This dataset contains 200 carefully curated examples for Direct Preference Optimization (DPO) training in the domain of gut health and digestive wellness. Each example consists of a user prompt, a "chosen" response (preferred), and a "rejected" response (less preferred), designed to train AI models to provide high-quality, medically responsible advice on digestive health topics.
Dataset Structure
The dataset is provided in CSV… See the full description on the dataset page: https://huggingface.co/datasets/Sid3503/Human-Like-Gut-Health-DPO-QnA.ddos-qna-dataset
DDoS Q&A Dataset
A collection of ~7,500 question-answer pairs and technical documentation about DDoS attacks, mitigation strategies, and network security. Useful for fine-tuning language models on cybersecurity topics.
What's in it
The data comes from Stack Overflow discussions, AWS documentation, research papers, and some synthetic Q&A. Each entry has a title (the question or topic) and text (the answer or content).
Splits:
Train: ~6,800 samples
Validation: ~340 samples… See the full description on the dataset page: https://huggingface.co/datasets/sudiptob2/ddos-qna-dataset.customer-review-qna-25
📦 Dataset: customer-review-qna-25
🧾 Summary
A small dataset of 25 GPT-4o-mini generated customer reviews, each containing:
input_question: Prompt or user query
output: Generated customer review
context: Background info (e.g. product, tone)
tags: Labels like positive, complaint, delivery, etc.
✅ safe ✅ Filtered ✅ Compact & usable for review generation or sentiment tasks
🧱 Dataset Structure
Format: CSVSize: 25 samplesFields:
Field
Type… See the full description on the dataset page: https://huggingface.co/datasets/elvanalabs/customer-review-qna-25.50K_stackoverflow_qna_dataset_by_hnm
50K Stack Overflow Q&A Dataset
A curated collection of 50,000 high-quality Stack Overflow question-answer pairs, filtered for quality and diversity across multiple programming languages.
Dataset Overview
Metric
Value
Total Q&A Pairs
50,000
Average Question Score
267.16
Average Answer Score
339.50
Highest Question Score
26,621
Minimum Question Score
93
Available Formats
Format
File
Size
CSV
50K_stackoverflow.csv
111.60 MB… See the full description on the dataset page: https://huggingface.co/datasets/Omarrran/50K_stackoverflow_qna_dataset_by_hnm.synthetic_legal_qna
Synthetic Legal QnA Dataset
Dataset Description
This dataset contains 100 synthetic legal question-answer pairs covering various aspects of Indian law including:
Criminal Procedure Code (CPC/CRPC)
Indian Penal Code (IPC)
Evidence Act (IEA)
Family Law (FLA)
Corporate Governance (CGR)
Intellectual Property Rights (IPR)
Constitutional Provisions
Dataset Structure
Each entry contains:
section_number: Legal section identifier
section_title: Title of the legal… See the full description on the dataset page: https://huggingface.co/datasets/nikhilr12/synthetic_legal_qna.crypto_qna_dataset
💰 Crypto Q&A Dataset
This dataset contains 1,081 curated Question-Answer pairs focused on cryptocurrency and blockchain concepts.It is ideal for fine-tuning LLMs, building chatbots, or conducting research in the crypto domain.
📊 Dataset Details
Number of Samples: 1,081
Format: Parquet (auto-converted from JSON)
Language: English
Domain: Cryptocurrency, Blockchain, DeFi
License: MIT (free to use for research and commercial purposes)
🧠 Example
{… See the full description on the dataset page: https://huggingface.co/datasets/Vaibhav7625/crypto_qna_dataset.myanmar_qna_dataset
Myanmar QnA Dataset v7
Language: Burmese (Myanmar)Total Entries: 22,783 QnA pairsTotal Sentences: ~ 466,330(Counted using the Myanmar sentence-ending symbol "။")License: CC0 1.0 (Public Domain)
Description
This dataset contains Myanmar-language question-answer pairs (QnA) generated with the assistance of ChatGPT-5 for question crafting with English and Gemini 3.0 Pro for Myanmar QnA generation. It is intended for research, AI training, and educational purposes.
Each entry… See the full description on the dataset page: https://huggingface.co/datasets/EISETWYNE/myanmar_qna_dataset.customer-review-qna-25
📦 Dataset: customer-review-qna-25
🧾 Summary
A small dataset of 25 GPT-4o-mini generated customer reviews, each containing:
input_question: Prompt or user query
output: Generated customer review
context: Background info (e.g. product, tone)
tags: Labels like positive, complaint, delivery, etc.
✅ safe ✅ Filtered ✅ Compact & usable for review generation or sentiment tasks
🧱 Dataset Structure
Format: CSVSize: 25 samplesFields:
Field
Type… See the full description on the dataset page: https://huggingface.co/datasets/al5nfsharyh/customer-review-qna-25.