datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
azerbaijan-court-data
Azerbaijan Court System Dataset
The most comprehensive open dataset of Azerbaijan's judicial system — 1.64 million structured records and 1.54 million court decision PDFs (~160 GB) covering court decisions, active cases, scheduled hearings, court registries, judges, lawyers, and mediator organizations.
Built for AI engineers, legal tech startups, and researchers who need real-world legal data at scale.
Quick Start
Load with Hugging Face datasets
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/ismatsamadov/azerbaijan-court-data.SecureCodePairs
Dataset Summary
Field
Value
Version
1.2.0
License
MIT
Total code examples
470
LLM security trajectories
30
Languages (15)
Python, Java, JavaScript, TypeScript, Go, PHP, C#, Kotlin, Swift, Rust, Ruby, C, C++, Scala, YAML (Kubernetes)
Frameworks
Flask, Django, FastAPI, Spring Boot, Express, NestJS, Next.js, Laravel, ASP.NET Core, Gin, Android, iOS, Actix, Rails, Qt, Play, gRPC, GraphQL, Kubernetes
New in v1.2.0
+260 records (deep Python/Java packs… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/SecureCodePairs.bitcoin-wallet-recovery-faq
Bitcoin Wallet Recovery FAQ Dataset v1.0
A high-quality Question & Answer dataset focused exclusively on Bitcoin wallet recovery and self-custody best practices. It is designed for training, fine-tuning, and evaluating LLMs and retrieval-augmented generation (RAG) systems in the domain of bitcoin security, seed backup, device loss, and fund recovery.
Dataset Summary
Total records: 500
Language: English
Answer length: 150–300 words per record
Categories: 39… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-wallet-recovery-faq.AppSecBench
AppSecBench Dataset Card
Dataset Summary
AppSecBench is an original benchmark of 406 vulnerable/secure code pairs spanning 12 programming
languages, 18 frameworks, 34 vulnerability classes, and 5 difficulty levels. Each record is a
self-contained evaluation case: a vulnerable snippet, its secure counterpart, an exploit sketch,
and the "ground truth" a detector/model is expected to produce (CWE, OWASP, severity, CVSS 3.1,
explainability, fix, and… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/AppSecBench.bitcoin-wallet-security-qa
Bitcoin Wallet Security Dataset
A high-quality question–answer dataset of 500 records focused on Bitcoin wallet
security, self-custody, backup and recovery planning, and common attack vectors. It is
built to train and evaluate AI systems that help people secure their Bitcoin — fine-tuning
LLMs, powering retrieval-augmented generation (RAG), security-focused assistants, and
educational chatbots.
Every record pairs a realistic security question with a detailed, self-contained… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-wallet-security-qa.engsaf
Engineering Short Answer Feedback
A collection of real short-answer responses from engineering exams across multiple engineering domains.
Background
In recent years, there has been a growing interest in using Artificial Intelligence (AI) to automate student assessment in education.
Among different types of assessments, summative assessments play a crucial role in evaluating a student's understanding level of a course.
Such examinations often involve short-answer… See the full description on the dataset page: https://huggingface.co/datasets/IsmaelMousa/engsaf.unified-vulnerability-intelligence-dataset
Unified Vulnerability Intelligence Dataset (UVID) v3.0 — Cyber Security Knowledge Graph
UVID is a structured cyber security knowledge graph that unifies multiple
vulnerability classification frameworks into a single knowledge base. Each of the
250 records describes one application/software security vulnerability and links
it — where authoritative data exists — across CWE, CAPEC, MITRE ATT&CK, CVSS,
14 OWASP projects, secure-fix intelligence, detection surfaces, programming… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/unified-vulnerability-intelligence-dataset.mitre-attack-techniques-qa
MITRE ATT&CK Techniques QA
A question–answer dataset covering 475 MITRE ATT&CK Enterprise techniques and sub-techniques,
designed for training and evaluating security-focused language models, RAG assistants for SOC
analysts, and red/blue/purple-team education.
Dataset Summary
Property
Value
Records
475
Language
English
Techniques (parent) covered
222 / 222 (all non-deprecated Enterprise parents)
Sub-techniques covered
253 (selection across the… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/mitre-attack-techniques-qa.melolingua-cefr-graded-multilingual-stories
MeloLingua CEFR-Graded Multilingual Stories Dataset
The MeloLingua CEFR-Graded Multilingual Stories Dataset is a citable educational corpus of 118 public A1–B2 language-learning stories in German, Spanish, French, Italian, Korean, and Russian. Records include target-language text, sentence-aligned English translations, contextual vocabulary, comprehension questions, sentence-building exercises, teaching metadata, provenance, and canonical links to original lessons on MeloLingua.… See the full description on the dataset page: https://huggingface.co/datasets/ismaelfi/melolingua-cefr-graded-multilingual-stories.ethereum-smart-contract-security-qa
Ethereum Smart Contract Security Dataset
A high-quality question–answer dataset of 100 records focused exclusively on Ethereum
smart contract security. It is built to train and evaluate AI systems that explain, identify,
classify, and mitigate the most common Ethereum smart contract vulnerabilities — LLM
fine-tuning, retrieval-augmented generation (RAG), AI security assistants, and secure
Solidity education.
Every record explains one vulnerability, attack pattern, secure coding… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/ethereum-smart-contract-security-qa.bitcoin-script-qa
Bitcoin Script Dataset
A high-quality question–answer dataset of 200 records focused on Bitcoin Script and
transaction scripting. It is built to train and evaluate AI systems that explain, compare,
and demonstrate Bitcoin Script concepts, opcodes, execution flow, and standard script
templates — LLM fine-tuning, retrieval-augmented generation (RAG), AI coding assistants,
and developer education.
Every record explains one Script concept, opcode, script template, execution scenario… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-script-qa.bitcoin-core-rpc-qa
Bitcoin Core RPC Dataset
A high-quality question–answer dataset of 100 records covering the Bitcoin Core
JSON-RPC interface. It is built to train and evaluate AI systems that help developers and
node operators understand, compare, troubleshoot, and use Bitcoin Core RPC commands —
LLM fine-tuning, retrieval-augmented generation (RAG), AI coding assistants, and developer
education.
Every record explains one RPC command, parameter, response field, usage pattern, error
scenario, or… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-core-rpc-qa.bitcoin-bip-qa
Bitcoin BIP QA
An English question–answer dataset covering Bitcoin Improvement Proposals (BIPs) and the
protocol, wallet, and Lightning concepts that surround them. It is built to fine-tune and
evaluate large language models, power retrieval-augmented generation (RAG) pipelines, and
benchmark chatbots on Bitcoin technical knowledge.
Every record pairs a precise technical question with a self-contained, explanatory answer that
links the relevant BIP(s) to the problem it solves… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-bip-qa.cvss-v4-qa
CVSS v4.0 Dataset
A high-quality question–answer dataset of 100 records focused on the Common
Vulnerability Scoring System (CVSS) Version 4.0. It is built to train and evaluate AI
systems that explain CVSS scoring methodology, interpret vector strings, justify scoring
decisions, evaluate vulnerability severity, and help analysts produce consistent,
defensible vulnerability assessments — LLM fine-tuning, retrieval-augmented generation
(RAG), vulnerability-management assistants… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/cvss-v4-qa.bitcoin-psbt-qa
Bitcoin PSBT Dataset
A high-quality question–answer dataset of 100 records focused on Partially Signed
Bitcoin Transactions (PSBT). It is built to train and evaluate AI systems that explain,
compare, and troubleshoot PSBT workflows — LLM fine-tuning, retrieval-augmented generation
(RAG), AI coding assistants, Bitcoin developer assistants, and educational AI.
Every record covers a unique PSBT concept, workflow stage, developer scenario, wallet
interoperability case… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-psbt-qa.ethereum-erc-standards-qa
Ethereum ERC Standards Dataset
A high-quality question–answer dataset of 100 records explaining Ethereum Request for
Comments (ERC) standards. It is built to train and evaluate AI systems that explain Ethereum
token standards, smart account standards, NFT standards, wallet interoperability, security
considerations, and real-world implementation guidance — LLM fine-tuning, retrieval-augmented
generation (RAG), Ethereum developer assistants, and educational AI.
Every record… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/ethereum-erc-standards-qa.tuvan_iSMARTknowledge_qa
Knowledge QA Dataset
Bu veri seti, farklı konulardan soru-cevap örnekleri içeren bir çalışma veri setidir.
Hakkında
Bu proje şu anda öğrenme ve geliştirme aşamasındadır. Veri setini hazırlarken yapay zekâ ve veri seti oluşturma konusunda pratik yapıyorum.
Veri setindeki soruların bir kısmı ChatGPT, bir kısmı Qwen kullanılarak oluşturulmuş, bir kısmı ise tarafımdan hazırlanmıştır.
Sorular ve cevaplar farklı konulardan oluşmaktadır. Örneğin:
Genel bilgi
Matematik… See the full description on the dataset page: https://huggingface.co/datasets/ismailx19/knowledge_qa.alpaca-gpt4-mat
Dataset Card for "alpaca-gpt4"
This dataset contains English Instruction-Following generated by GPT-4 using Alpaca prompts for fine-tuning LLMs.
The dataset was originaly shared in this repository: https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM. This is just a wraper for compatibility with huggingface's datasets library.
Dataset structure
It contains 52K instruction-following data generated by GPT-4 using the same prompts as in Alpaca.
The dataset has the same… See the full description on the dataset page: https://huggingface.co/datasets/ismatazmy/alpaca-gpt4-mat.Bone-isms