datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Deepseek-V4-Reasoning-Code-2500
DeepSeek Reasoning and Code Distillation Dataset
This dataset contains synthetic instruction-response examples generated from coding, reasoning, and math prompts. It was generated with enforce_distillable_text enabled using DeepSeek V4 Pro and DeepSeek V4 Flash through OpenRouter. It is intended for experimentation with supervised fine-tuning, response-style distillation, reasoning-format analysis, and code-assistant behavior research.
The dataset file is:
train.csv
It contains 2… See the full description on the dataset page: https://huggingface.co/datasets/Banaxi-Tech/Deepseek-V4-Reasoning-Code-2500.Code-Reasoning
Code-Reasoning: Quality Filtered Dataset
A high-quality, curated subset of the OpenCodeReasoning-2 dataset for training competitive programming models. This dataset has been processed with rigorous quality filtering and question reconstruction to ensure optimal training data.
📊 Dataset Overview
This dataset contains competitive programming problems with high-quality solutions, specifically filtered and processed from the original nvidia/OpenCodeReasoning-2 dataset.… See the full description on the dataset page: https://huggingface.co/datasets/GetSoloTech/Code-Reasoning.Code-Reasoning
Code-Reasoning: Quality Filtered Dataset
A high-quality, curated subset of the OpenCodeReasoning-2 dataset for training competitive programming models. This dataset has been processed with rigorous quality filtering and question reconstruction to ensure optimal training data.
📊 Dataset Overview
This dataset contains competitive programming problems with high-quality solutions, specifically filtered and processed from the original nvidia/OpenCodeReasoning-2 dataset.… See the full description on the dataset page: https://huggingface.co/datasets/cublya/Code-Reasoning.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.Deepseek-V4-Reasoning-Code-2500
DeepSeek Reasoning and Code Distillation Dataset
This dataset contains synthetic instruction-response examples generated from coding, reasoning, and math prompts. It was generated with enforce_distillable_text enabled using DeepSeek V4 Pro and DeepSeek V4 Flash through OpenRouter. It is intended for experimentation with supervised fine-tuning, response-style distillation, reasoning-format analysis, and code-assistant behavior research.
The dataset file is:
train.csv
It contains… See the full description on the dataset page: https://huggingface.co/datasets/lucsaint/Deepseek-V4-Reasoning-Code-2500.