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code-reasoning

IFM /Code-Reasoning Code-Reasoning Dataset Description Code problem-solving data with reasoning, direct-answer, and task-synthesis subsets. This repository is part of the K2 Horizon collection. The repository is organized into multiple subsets. Every subset has a train split backed by Parquet shards, which supports Dataset Viewer inspection and streaming access. K2 Horizon Dataset Series Dataset repository Focus Subsets IFM/TxT360-v2 Web and… See the full description on the dataset page: https://huggingface.co/datasets/IFM/Code-Reasoning.texttext-generation100M<n<1B97 likes54k downloads1mo agoHugging Facesmshahbaj /verifiable-code-reasoning Verifiable Code Reasoning Execution-verified Python problems with chain-of-thought Sandbox-checked solutions · Multi-test unit checks · Deduplicated instances · Training-ready sft_text Overview Verifiable Code Reasoning is a large-scale dataset of Python coding problems where every kept solution has passed sandboxed unit tests. Unlike scraped contest dumps or unverified LLM traces, an example enters this release only if: a reference… See the full description on the dataset page: https://huggingface.co/datasets/smshahbaj/verifiable-code-reasoning.texttext-generation1M<n<10M2 likes1.8k downloads20d agoHugging FaceLexyJawa /Code-Reasoning Code-Reasoning Dataset Description Code problem-solving data with reasoning, direct-answer, and task-synthesis subsets. This repository is part of the K2 Horizon collection. The repository is organized into multiple subsets. Every subset has a train split backed by Parquet shards, which supports Dataset Viewer inspection and streaming access. K2 Horizon Dataset Series Dataset repository Focus Subsets IFM/TxT360-v2 Web and… See the full description on the dataset page: https://huggingface.co/datasets/LexyJawa/Code-Reasoning.texttext-generation100M<n<1B0 likes1.5k downloads18d agoHugging Faceefficientscaling /Z1-Code-Reasoning-107K Z1: Efficient Test-time Scaling with Code Train Large Language Model to Reason with Shifted Thinking [📜 Paper] • [🤗 HF Models] • [🐱 GitHub] Details Please refer to https://github.com/efficientscaling/Z1. Usage from datasets import load_dataset ds = load_dataset("efficientscaling/Z1-Code-Reasoning-107K")["train"] ds[0] Citation @misc{yu2025efficientscaling, title={Z1: Efficient Test-time Scaling with Code}… See the full description on the dataset page: https://huggingface.co/datasets/efficientscaling/Z1-Code-Reasoning-107K.text100K<n<1M21 likes266 downloads2y agoHugging Faceykarout /code-reasoning-phi4-templatetext1M<n<10M1 likes249 downloads1y agoHugging Facesagea-ai /SAGE-Code-Reasoningtext100K<n<1M3 likes243 downloads9mo agoHugging Face