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}
qwen9b-solo-claude-code
qwen9b-solo-claude-code
Single-agent coding trajectories generated by running
CooperBench in solo mode on
the CooperData task set, using
Qwen/Qwen3.5-9B as the model and Claude Code (claude_code) as the
agent framework. One agent implements both features in each task.
The matched coop (two-agent) version is at
CooperBench/qwen9b-coop-claude-code.
Same task corpus, same model, same agent — only the coordination differs, so
together they isolate the cooperation deficit.
At a… See the full description on the dataset page: https://huggingface.co/datasets/CooperBench/qwen9b-solo-claude-code.qwen9b-solo-mini-swe-agent
qwen9b-solo-mini-swe-agent
Single-agent coding trajectories generated by running
CooperBench in solo mode on
the CooperData task set, using
Qwen/Qwen3.5-9B as the model and mini_swe_agent_v2 as the agent framework.
One agent implements both features in each task.
The matched coop version is at
CooperBench/qwen9b-coop-mini-swe-agent.
Same task corpus, same model, same agent — only the coordination differs, so
together they isolate the cooperation deficit.
At a glance… See the full description on the dataset page: https://huggingface.co/datasets/CooperBench/qwen9b-solo-mini-swe-agent.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}
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.BG-GSM-Synthetic
Overview
This dataset aims to create a bulgarian version of the GSM-Symbolic dataset
Code to generate samples is available at our Github
BG-GSM-Symbolic
Synthetic Dataset Generation for Large Language Model evaluation. The dataset is generated in the style of GSM-8k, thus it contains relatively easy mathematical questions that a bright grade school student should be able to answer. This project is intended for automatic evaluation of LLMs, which have already been trained… See the full description on the dataset page: https://huggingface.co/datasets/WT-solutions/BG-GSM-Synthetic.Eco_friendly_pest_solutionsKratki-Istorii-100kKratki-Istorii-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-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.aiw-expand-then-solve
Alice in Wonderland - Expand then Solve
Overview
This dataset is created by generating 100 GPT-4o responses for 3 different prompts
Standard prompt: 'Alice has N brothers and she also has M sisters. How many sisters does Alice's brother have?'
Chain of Thought (COT) prompt: 'Think step by step, and solve the following problem:
Alice has N brothers and she also has M sisters. How many sisters does Alice's brother have?'
Expand-then-Solve prompt: 'Expand the following… See the full description on the dataset page: https://huggingface.co/datasets/aadityaubhat/aiw-expand-then-solve.