datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
jat-dataset
JAT Dataset
Dataset Description
The Jack of All Trades (JAT) dataset combines a wide range of individual datasets. It includes expert demonstrations by expert RL agents, image and caption pairs, textual data and more. The JAT dataset is part of the JAT project, which aims to build a multimodal generalist agent.
Paper: https://huggingface.co/papers/2402.09844
Usage
>>> from datasets import load_dataset
>>> dataset = load_dataset("jat-project/jat-dataset"… See the full description on the dataset page: https://huggingface.co/datasets/jobs-git/jat-dataset.github-code-fontend-lang
github-code fontend code
Dwonload
方式一
huggingface-cli download --resume-download LiXiang12/github-code-fontend-lang --include "*/*.zip" --repo-type dataset --local-dir github_code
方式二
进入Files and versions/data直接下载zip文件
数据统计
GitChameleon-2.0
GitChameleon 2.0
GitChameleon 2.0 is an AI coding benchmark comprising 328 Python-based problems conditioned on specific versions of popular libraries for scientific computing and web development. It evaluates whether AI code generation models can correctly use library APIs as they existed at a particular version — a challenging test of version-specific knowledge.
Note: This is GitChameleon 2.0, a distinct and newer work from the original GitChameleon benchmark. Please do not… See the full description on the dataset page: https://huggingface.co/datasets/cabbage972/GitChameleon-2.0.Bhagwat-Gita-Infinity
Bhagwat‑Gita‑Infinity By Modotte
[!WARNING]Note: The dataset viewer table is not providing accurate information about the dataset structure and contents. Please manually check one file from the dataset (e.g., via raw file views on Hugging Face) or refer to the Example Entries below for correct details.
Dataset Summary
Bhagwat-Gita-Infinity, released by Modotte with main contributor Parveshiiii (Parvesh Rawal), is a meticulously structured dataset… See the full description on the dataset page: https://huggingface.co/datasets/Modotte/Bhagwat-Gita-Infinity.OpenMathReasoning
OpenMathReasoning
OpenMathReasoning is a large-scale math reasoning dataset for training large language models (LLMs).
This dataset contains
540K unique mathematical problems sourced from AoPS forums,
3.2M long chain-of-thought (CoT) solutions
1.7M long tool-integrated reasoning (TIR) solutions
566K samples that select the most promising solution out of many candidates (GenSelect)
We used Qwen2.5-32B-Instruct to preprocess problems, and
DeepSeek-R1 and QwQ-32B to generate… See the full description on the dataset page: https://huggingface.co/datasets/jobs-git/OpenMathReasoning.Bhagavad-Gita-QA
Bhagavad-Gita-QA-Multilingual
Dataset Summary
Bhagavad-Gita-QA, is a carefully structured verse-aligned dataset that brings the timeless wisdom of the Bhagavad Gita into a modern question–answer framework.
This is the first open dataset that provides verse-level Q&A for the Gita with questions in Hindi and Gujarati along with English. This is not just a technical resource but also a cultural bridge, enabling new ways of studying, teaching, and exploring the Gita… See the full description on the dataset page: https://huggingface.co/datasets/JDhruv14/Bhagavad-Gita-QA.git-history-mcq-ru
git-history-mcq-ru
805 вопросов с вариантами ответа по истории трёх открытых репозиториев
(digitable-lol/digit, digitable-lol/digitwm, digitable-lol/flang), плюс
8 672 ответа пяти моделей и 4 878 разборов этих ответов.
Вопросы на русском. Ключ каждого выведен из вывода git-команды, и сама команда
и её вывод лежат в записи — задачу можно перепроверить, не доверяя составителю.
Набор собран для одной проверки: меняют ли что-нибудь приёмы промптинга. Девять
вариантов оформления… See the full description on the dataset page: https://huggingface.co/datasets/the-homeless-god/git-history-mcq-ru.python-github-code-instruct-filtered-5k
Dataset Card for "python-github-code-instruct-filtered-5k"
This fine dataset tomekkorbak/python-github-code, filtered by scores greater than 0.03.
Feedback and additional columns generated through OpenAI and Cohere responses.
github-pytorch-issues
Dataset Card for github-pytorch-issues
Dataset Summary
This dataset is a curated collection of GitHub issues from the PyTorch repository. Each entry includes the issue title, body, user, state, labels, comments, and other relevant fields that are useful for tasks such as text classification, semantic search, and question answering.
Supported Tasks and Leaderboards
The dataset supports the following tasks:
Open-domain Question Answering: Given a user query… See the full description on the dataset page: https://huggingface.co/datasets/mayankpuvvala/github-pytorch-issues.bhagavad-gita-with_life_lesson
bhagavad-gita-lifelesson Dataset
A complete, high-fidelity dataset covering all 701 verses of the Bhagavad Gita titled bhagavad-gita-lifelesson. Each verse follows the strict format:
First: Sanskrit chanting
Then: Hindi meaning (हिन्दी अर्थ)
Then: Life lesson (जीवन-पाठ)
(Transliteration and English translation have been removed).
🎧 Example Representation (Verse 2.47)
🎧 Verse 2.47
First: Sanskrit chanting
कर्मण्येवाधिकारस्ते मा फलेषु कदाचन
मा… See the full description on the dataset page: https://huggingface.co/datasets/AkrGupta/bhagavad-gita-with_life_lesson.gdpr-normative-triples
GDPR Normative Triples & Knowledge Graph Benchmark Dataset
A comprehensive, deterministic, cryptographically provenanced legal knowledge engineering dataset encoding the full normative and relational structure of Regulation (EU) 2016/679 (General Data Protection Regulation - GDPR).
🔬 Dataset Overview & Knowledge Engineering Rigor
In legal informatics and regulatory AI, relying on ungrounded language models introduces significant risks of hallucinated… See the full description on the dataset page: https://huggingface.co/datasets/gitmodelmujtaba/gdpr-normative-triples.gitlab-handbook-bm25-3078d0213524
GitLab Handbook BM25 Gold Reference
This dataset is the gold reference train/eval split for a Castform RAG RL run over the GitLab handbook using BM25/Postgres search.
Files
train_dataset.jsonl: 256 training rows
eval_dataset.jsonl: 64 evaluation rows
diagnostics.jsonl: BM25 reachability diagnostics for the 320 candidate rows
manifest.json: source, corpus, curriculum, hashes, and reference run metadata
metrics.json: validation and completed Qwen3.5-4B… See the full description on the dataset page: https://huggingface.co/datasets/wingedbreadsticks/gitlab-handbook-bm25-3078d0213524.eu-ai-act-normative-triples
🏛️ EU AI Act Normative Deontic Triples & Knowledge Graph
Formal Symbolic Regulatory Knowledge Base & Multi-Framework Crosswalk
Regulation (EU) 2024/1689 (Artificial Intelligence Act)
📌 Executive Summary
The EU AI Act Normative Deontic Triples dataset provides a rigorous, machine-verifiable, symbolic representation of Regulation (EU) 2024/1689. Built using the knowledge engineering methodology established in… See the full description on the dataset page: https://huggingface.co/datasets/gitmodelmujtaba/eu-ai-act-normative-triples.omnimcp_mcp_github_issue_pr_ops_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_mcp_github_issue_pr_ops_teaser.solidity_vulnerability_audit_dataset
Solidity Vulnerability Audit Dataset
Organization: gitmate AI
Dataset Summary
The Solidity Vulnerability Audit Dataset is a curated collection of Solidity smart contract code snippets paired with expert-written vulnerability audits. Each entry presents a real or realistic smart contract scenario, and the corresponding analysis identifies security vulnerabilities or confirms secure patterns. The dataset is designed for instruction-tuned large language models (LLMs) to… See the full description on the dataset page: https://huggingface.co/datasets/GitmateAI/solidity_vulnerability_audit_dataset.Gita-Train
Bhagavad-Gita-QA-Multilingual
Dataset Summary
Bhagavad-Gita-QA, is a carefully structured verse-aligned dataset that brings the timeless wisdom of the Bhagavad Gita into a modern question–answer framework.
This is the first open dataset that provides verse-level Q&A for the Gita with questions in Hindi and Gujarati along with English. This is not just a technical resource but also a cultural bridge, enabling new ways of studying, teaching, and exploring the Gita… See the full description on the dataset page: https://huggingface.co/datasets/rahul7star/Gita-Train.github_fetch_huggingface_terminal_9056_fmmm1o_derived_finance_qa_en
Financial Q&A (English)
An English financial question-answering dataset used for benchmarking retrieval models.
This dataset was derived from our public finance QA corpus source dataset published on this Hub.
It has been deduplicated and reformatted for retrieval evaluation.
Source: zhuq41/github_fetch_huggingface_terminal_9056_fmmm1o_src_finance_qa | License: mit
bhagavad-gita
Bhagavad Gita Dataset
Dataset for fine-tuning small language models (SLMs).
Note: This dataset is for educational and research purposes only.
Data Configurations
This dataset has two parts:
text: Plain text from the Gita. Use this for standard language model fine-tuning.
{"text": "..."}
messages: Question & Answer format. Use this to fine-tune chat models.
{"messages": [
{"role": "user", "content": "..."},
{"role": "assistant", "content": "..."}
]}… See the full description on the dataset page: https://huggingface.co/datasets/nik-55/bhagavad-gita.github_fetch_huggingface_terminal_9056_fmmm1o_src_finance_qa
Financial Q&A Corpus (Source)
An original corpus of finance-related question-answer pairs curated by our team.
This is the canonical source corpus for financial Q&A work in our organization.
If you build a derived dataset from this corpus, please retain attribution to this repository.
law-global
The Case-law, centralizing legal decisions for better use, a community Dataset.
The Case-law Dataset is a comprehensive collection of legal decisons from various countries, centralized in a common format. This dataset aims to improve the development of legal AI models by providing a standardized, easily accessible corpus of global legal documents.
Join us in our mission to make AI more accessible and understandable for the legal world, ensuring that the power of language… See the full description on the dataset page: https://huggingface.co/datasets/gitrelief/law-global.github-issues
HuggingFace Datasets Repository Issues
Dataset Description
This dataset contains issues and pull requests from the huggingface/datasets repository, collected via the GitHub API. Each entry includes comprehensive metadata about the issue/PR along with all associated comments, making it valuable for studying software development patterns, issue resolution processes, and community interactions in open-source projects.
Dataset Summary
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/helmo/github-issues.bhagavad-gita-life-advice-700
🕉️ Bhagavad Gita Life-Advice 700
Transform ancient wisdom into modern solutions700 practical life questions answered directly from every single verse of the Bhagavad Gita
📖 Overview
This dataset bridges the 5,000-year-old wisdom of the Bhagavad Gita with modern life challenges. Each entry connects a real human question to specific Gita verses with actionable, concise advice.
What makes this unique:
✅ Verse-level precision - Every answer references exact… See the full description on the dataset page: https://huggingface.co/datasets/suneeldk/bhagavad-gita-life-advice-700.zagreus-0.4b-italic-kl-data
Zagreus ITALIC KL training data
This repository contains the exact public data used to train
the final model for the Italian Post-Training Challenge 2026.
Files
File
Rows
Purpose
SHA-256
domain_pool.jsonl
21,847
Public source pool
f3f28183a503402d74cd778dc27e947d910ae542f57b7a73cb91070ddbf4fa2e
domain_pool_dev.jsonl
480
Public held-out development set
852d42d923c5befcd6ce0b20ac9bfa3c13444a268175eb881c289a3644a5d668
kl/train.jsonl
10,000
Cloze-PMI… See the full description on the dataset page: https://huggingface.co/datasets/GitMarco27/zagreus-0.4b-italic-kl-data.Polish_lawgithub-issues
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
GitHub Issues with comments
Dataset Sources [optional]
Repository: https://github.com/huggingface/datasets/issues
Uses
Direct Use
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/CodeLifeCL/github-issues.shrimad-bhagavad-gita-dataset-alpacaThe-Bhagavad-Gita-with-a-TWIST
Motivational Conversations: Krishna Teachings + Modern Stories
This dataset provides motivational Q&A pairs that blend Bhagavad Gita-inspired teachings with modern real-life inspirational stories, aligned to specific personalities like authors, philosophers, and thought leaders.
Each sample encourages LLMs to generate motivational, story-driven responses combining ancient wisdom and modern context.
Dataset Summary
Question: A motivational/self-help question.… See the full description on the dataset page: https://huggingface.co/datasets/p2kalita/The-Bhagavad-Gita-with-a-TWIST.github_fetch_huggingface_pdf-tools_terminal_2096-docaudit-7c91-financial-question-answering
Financial Question Answering
Dataset Summary
Question-answer pairs extracted from financial documents and earnings reports.
Dataset Structure
Data fields: context, question, answer.
Licensing Information
This dataset is released under the MIT license (mit).
refined-github-issuesgithub-ai-projects-dataset
GitHub Code Instruction Dataset for LLM Fine-Tuning
Dataset Description
This dataset contains high-quality code instruction examples extracted from popular GitHub repositories focused on LLMs, LangChain, FastAPI, Django, and Transformers. It is designed for supervised fine-tuning of large language models (LLMs) for code generation, completion, and documentation tasks.
Dataset Structure
The dataset is split into three parts:
Train: 80% of examples for model… See the full description on the dataset page: https://huggingface.co/datasets/pranav-pvnn/github-ai-projects-dataset.