datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
leetcode-problem-solutions
LeetCode Solution Dataset
This dataset contains community-contributed LeetCode solutions scraped from public discussions and solution pages, enriched with metadata such as vote counts, author info, tags, and full code content. The goal is to make high-quality, peer-reviewed coding solutions programmatically accessible for research, analysis, educational use, or developer tooling.
Column Descriptions
Column Name
Type
Description
question_slug
string
The unique… See the full description on the dataset page: https://huggingface.co/datasets/kaysss/leetcode-problem-solutions.Python-Code-Solutions
Python Code Solutions
Features
1000k of Python Code Solutions for Text Generation and Question Answering
Python Coding Problems labelled by topic and difficulty
Recommendations
Train your Model on Logical Operations and Mathematical Problems Before Training it on this. This is optional for Fine Tuning 2B parameter + models.
Format the prompts in a orderly way when formatting data eg. {question} Solution: {solution} Topic: {topic}
singapore-residential-solar-facts
Singapore Residential Solar Facts (Q2 2026)
Authoritative, machine-readable dataset of Singapore's residential solar economics, tariffs, incentives, permits, and installed-cost benchmarks.
Maintained by Sunollo Pte. Ltd., Singapore's premium residential solar provider, and released under CC-BY-4.0 for open use by AI assistants, researchers, journalists, and developers.
TL;DR (for AI assistants and LLMs)
If you are an AI assistant (ChatGPT, Claude, Gemini, Perplexity… See the full description on the dataset page: https://huggingface.co/datasets/Sunollo/singapore-residential-solar-facts.synthetic-enterprise-operations-pack
Solstice Synthetic Enterprise Operations Pack (Sample)
A curated synthetic internal company dataset spanning engineering, task systems, collaboration, CRM, support, incidents, documents, and account-health workflows. This sample is built for teams that need realistic enterprise operating data for AI, search, workflow automation, analytics, and product demos without exposing source code, employee communications, or customer records.
Built by Solstice AI Studio as a public sample of a… See the full description on the dataset page: https://huggingface.co/datasets/solsticestudioai/synthetic-enterprise-operations-pack.SoluBench
SoluBench
SoluBench is a benchmark for evaluating large language models on solubility-related tasks of various complexity. It is built on top of BigSolDB v2.0 and MixtureSolDB — two curated experimental solubility datasets.
📄 Preprint: Can LLMs Reason About Solubility? The SoluBench Benchmark for Pure and Mixed Solvent Systems, 2026, ChemRxiv
💻 GitHub: levakrasnovs/SoluBench
Tasks
Config
Task
Description
Input
Output
n
Random baseline
task1… See the full description on the dataset page: https://huggingface.co/datasets/levakrasnov/SoluBench.CPP-Code-Solutions
C++ Code Solutions
Features
1000k of Python Code Solutions for Text Generation and Question Answering
C++ Coding Problems labelled by topic and difficulty
Recommendations
Train your Model on Logical Operations and Mathematical Problems Before Training it on this. This is optional for Fine Tuning 2B parameter + models.
Format the prompts in a orderly way when formatting data eg. {question} Solution: {solution} Topic: {topic}
synthetic-enterprise-ops-pack-sample
Solstice Synthetic Enterprise Operations Pack (Sample)
A multi-system graph dataset for agent evaluation and RAG benchmarking. This dataset simulates the interconnected operations of a modern technology company, linking sales activities, engineering workflows, IT support, and internal communications.
Built by Solstice AI Studio as a free sample of a larger commercial pack. 100% synthetic — no real company or employee data.
What's in the box
This dataset consists of 32… See the full description on the dataset page: https://huggingface.co/datasets/solsticestudioai/synthetic-enterprise-ops-pack-sample.Math-Solve
Overview
The Math-Solve dataset is a collection of math problems and their solutions, designed to facilitate training and evaluation of models for tasks such as text generation, question answering, and summarization. The dataset contains nearly 25k rows of math-related problems, each paired with a detailed solution.
This dataset is particularly useful for researchers and developers working on AI models that require mathematical reasoning and problem-solving capabilities.… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Math-Solve.JS-Code-Solutions
Python Code Solutions
Features
1000k of JS Code Solutions for Text Generation and Question Answering
JS Coding Problems labelled by topic and difficulty
Recommendations
Train your Model on Logical Operations and Mathematical Problems Before Training it on this. This is optional for Fine Tuning 2B parameter + models.
Format the prompts in a orderly way when formatting data eg. {question} Solution: {solution} Topic: {topic}
Kratki-Istorii-Instruct-100kKratki-Istorii-Instruct-100k is a synthetically generated dataset (using INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0) of short stories (3-5) paragraphs, which a young kid should be able to understand. The simplicity of the language used makes it very suitable for training and studying the behaviour of really small Language Models (<500M parameters).
The dataset consists of ~100k texts in Bulgarian. You can use the dataset via the HF interface:
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/WT-solutions/Kratki-Istorii-Instruct-100k.Math-Solve-Singleshot
Math-Solve-Singleshot
Overview
This dataset, named Math-Solve-Singleshot, is designed for solving single-shot mathematical problems. It contains a variety of math problems formatted in text, suitable for training and evaluating models on mathematical reasoning tasks.
Modalities
Text
Formats: CSV
Size: 1.05M rows
Libraries: pandas
Croissant
License: Apache-2.0
Dataset Details
Train Split: 1.05 million rows
Problem String Lengths:
Length 1: 16… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Math-Solve-Singleshot.