datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
reasoning-math-advanced-1m
🧠 Reasoning Math Advanced 1M
📖 Dataset Summary
Reasoning Math Advanced 1M is a large-scale, synthetic dataset designed to enhance the reasoning capabilities of Large Language Models (LLMs). Comprising 1,000,000 unique samples, this dataset focuses on Math, Logic, and Common Sense reasoning tasks.
A unique feature of this dataset is its adaptive reasoning structure, where the presence of Chain-of-Thought (CoT) reasoning scales with difficulty. All reasoning traces are… See the full description on the dataset page: https://huggingface.co/datasets/naimulislam/reasoning-math-advanced-1m.jee-advanced-questions
JEE Advanced — Question Bank
A structured dataset of JEE Advanced examination questions with full
worked solutions and diagrams. JEE Advanced questions are more analytical
than JEE Main — many are subjective, integer, or numerical-answer type with
detailed multi-step solutions.
Subsets (PCM):
Physics — 50 questions
Chemistry — 21 questions
Mathematics — 48 questions
Structure
Organised into subsets by subject and splits (train / test):
mathematics/ physics/… See the full description on the dataset page: https://huggingface.co/datasets/eQOURSE/jee-advanced-questions.glm5.2-general-distill
Teacher-generated instruction/response pairs used to distill small, local student models
(the ADI / Advanced Data Intelligence series) from the frontier teacher glm-5.2.
How it was built
Teacher: glm-5.2 (served via Ollama Cloud as glm-5.2:cloud), queried with
thinking/reasoning disabled so every record is a single clean final answer.
Seed prompts: databricks/databricks-dolly-15k,
filtered to remove items that require an attached context passage — the closed_qa… See the full description on the dataset page: https://huggingface.co/datasets/AdvancedDataIntelligence/glm5.2-general-distill.jee-advanced-questions
JEE Advanced — Question Bank
A structured dataset of JEE Advanced examination questions with full
worked solutions and diagrams. JEE Advanced questions are more analytical
than JEE Main — many are subjective, integer, or numerical-answer type with
detailed multi-step solutions.
Subsets (PCM):
Physics — 50 questions
Chemistry — 21 questions
Mathematics — 48 questions
Structure
Organised into subsets by subject and splits (train / test):
mathematics/ physics/… See the full description on the dataset page: https://huggingface.co/datasets/Grass-G/jee-advanced-questions.reasoning_code_advanced_1m
💻 Reasoning Code Advanced 1M
📖 Dataset Summary
Reasoning Code Advanced 1M is a massive-scale, synthetic dataset specifically engineered to improve the algorithmic reasoning and problem-solving capabilities of Large Language Models (LLMs). Featuring 1,000,000 unique coding samples, this dataset spans multiple programming languages (Python, JS, C++, etc.) and focuses on logic-heavy development tasks.
A key feature of this dataset is its Adaptive Reasoning Architecture.… See the full description on the dataset page: https://huggingface.co/datasets/naimulislam/reasoning_code_advanced_1m.reasoning_conversations_advanced_1m
💻 Reasoning Conversations Advanced 1M
📖 Dataset Summary
Reasoning Conversations Advanced 1M is a massive-scale, synthetic dataset specifically engineered to improve the algorithmic reasoning and problem-solving capabilities of Large Language Models (LLMs). Featuring 1,000,000 unique coding samples, this dataset spans multiple programming languages (Python, JS, C++, etc.) and focuses on logic-heavy development tasks.
A key feature of this dataset is its Adaptive… See the full description on the dataset page: https://huggingface.co/datasets/naimulislam/reasoning_conversations_advanced_1m.Advanced_Dataset_SampleThis is a high-fidelity Direct Preference Optimization (DPO) dataset curated by OptiRefine. It is designed to train Large Language Models (LLMs) to act as helpful, honest, and thoughtful assistants across complex domains.
While our core datasets focus on code refactoring, this dataset provides preference trajectories for broader system architecture, computer science fundamentals, logic, and professional communication.
Curated by: OptiRefine
Language: English
License: Apache-2.0
Format: JSONL… See the full description on the dataset page: https://huggingface.co/datasets/OptiRefine-Official/Advanced_Dataset_Sample.advanced-text-generation-instructions
Advanced Text Generation Instructions Dataset
This dataset contains carefully written English text samples designed for basic and intermediate text generation tasks.
Dataset Purpose
The dataset is intended for:
Testing text generation pipelines
Training simple language models
Benchmarking prompt-based generation
Educational and experimental use
Dataset Structure
Each row contains a single field:
text: A standalone English sentence related to artificial… See the full description on the dataset page: https://huggingface.co/datasets/yugi5/advanced-text-generation-instructions.