datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Nemotron-SFT-Competitive-Programming-v2
Dataset Description:
Nemotron-Competitive-Programming-v2 is a large-scale synthetic coding and reasoning dataset designed to push LLM performance on challenging programming and systems tasks. It combines Python and C++ samples across unique competitive programming questions.In addition, the dataset includes samples targetting a subset of programming language exercises from Exercism.
Beyond problem solving, the dataset includes Text-to-SQL, which aims at training LLMs to reason and… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-Competitive-Programming-v2.Competitive-Programming-python-blend
Dataset Card for Competitive-Programming-python-blend
Summary
Competitive-Programming-python-blend is a mixed supervised fine-tuning dataset centered on competitive programming, code reasoning, and instruction-style problem solving. The blend is Python-first, but it also keeps a small amount of C++, agentless SWE, and reasoning-oriented chat supervision to broaden training coverage.
The current release is published as a single HF-friendly JSONL file, clean.jsonl.… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/Competitive-Programming-python-blend.SciCode-Programming-Problems
DATA3: Programming Problems Generation Dataset
Dataset Overview
DATA3 is a large-scale programming problems generation dataset that contains AI-generated programming problems inspired by real scientific computing code snippets. The dataset consists of 22,532 programming problems, each paired with a comprehensive solution. These problems focus on scientific computing concepts such as numerical algorithms, data analysis, mathematical modeling, and computational methods in… See the full description on the dataset page: https://huggingface.co/datasets/SciCodePile/SciCode-Programming-Problems.multiround-programming-convo
Multi-Round Programming Conversations
Based on previous evol-codealpaca-v1 dataset with added sampled questions from stackoverflow, crossvalidated and make it multiround!
It should be more suited to train a code assistant which works side by side.
Tasks included in here:
Data science, statistic, programming questions
Code translation : translate a short function from Python, Golang, C++, Java, Javascript
Code fixing : Fix randomly corrupts characters with no tab… See the full description on the dataset page: https://huggingface.co/datasets/theblackcat102/multiround-programming-convo.golang-programming-style-best-practicesNote: WIP - This dataset has not yet been curated to remove duplicates and filler
Dataset trained on several popular open source Golang style guides and the effective go book.
Source training data:
https://go.dev/doc/effective_go
https://github.com/uber-go/guide/blob/master/style.md
https://google.github.io/styleguide/go/best-practices
Q&A generated using Augment Toolkit
Generation models:
yi-large (API access kindly donated by 01.ai)
hermes-2-theta-llama-3-8b
qwen2-72b-instruct
SciCode-Programming-Problems
DATA3: Programming Problems Generation Dataset
Dataset Overview
DATA3 is a large-scale programming problems generation dataset that contains AI-generated programming problems inspired by real scientific computing code snippets. The dataset consists of 22,532 programming problems, each paired with a comprehensive solution. These problems focus on scientific computing concepts such as numerical algorithms, data analysis, mathematical modeling, and computational… See the full description on the dataset page: https://huggingface.co/datasets/SciCode/SciCode-Programming-Problems.quantum-compilation-and-programming
Neura Parse — Quantum Compilation & Programming
A code-heavy vertical on the quantum software/compilation stack: turning abstract quantum circuits and unitaries into device-executable programs. Covers unitary decomposition and circuit synthesis (Euler/ZYZ, KAK/Cartan, Solovay-Kitaev, Ross-Selinger gridsynth, numerical synthesis with BQSKit), gate-set/basis transpilation to native gate sets, qubit layout/mapping and routing under connectivity constraints (SABRE, VF2, SWAP… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming.amalia-Nemotron-SFT-Competitive-Programming-v2
AMALIA Nemotron-SFT-Competitive-Programming-v2
Version of the nvidia/Nemotron-SFT-Competitive-Programming-v2 dataset used in the AMALIA's Supervised Fine-Tuning stage.
This dataset went through a processing pipeline to remove entries that reference other LLMs or research labs;
Original Dataset: https://huggingface.co/datasets/nvidia/Nemotron-SFT-Competitive-Programming-v2
This dataset is provided as part of the AMALIA project and is included in the data mix used to… See the full description on the dataset page: https://huggingface.co/datasets/amalia-llm/amalia-Nemotron-SFT-Competitive-Programming-v2.competitive-programming-curated-600
🚀 Competitive Programming & Algorithmic Reasoning (Verbose CoT Reasoning)
This dataset contains 600 curated training records with in-depth, verbose 4-phase <Thinking> Chain-of-Thought reasoning, 100 frozen evaluation benchmark samples, and 50 frozen regression verification samples formatted in standard ChatML (messages) and Prompt-Target pairs, strictly following the Pioneer / Prometheus research paper 3-slice curriculum design.
📊 Dataset Composition & 3-Slice… See the full description on the dataset page: https://huggingface.co/datasets/StarsMakeGalaxy/competitive-programming-curated-600.mathematical_programming_dataset
Additional Information
This dataset contains mathematical programming problems generated using the CAMEL framework. Each entry includes:
A mathematical problem statement
A detailed rationale explaining the solution approach
The final answer or solution
Metadata including problem ID and source information
The problems cover various optimization topics including linear programming, integer programming, and constraint satisfaction problems.
deep-tech-programming-zh
Deep Tech & Programming Dialogue Dataset (Chinese)
深度技术与编程对话数据集
Dataset Description
High-quality Chinese technology and programming dialogues covering compiler design, GPU programming, AI architecture, and system design.
高质量中文技术与编程对话，涵盖编译器设计、GPU编程、AI架构、系统设计等议题。
Dataset Structure
Format: JSONL (JSON Lines)
Fields:
instruction: User message / question
input: Additional context (if any)
output: AI response
metadata: Source platform… See the full description on the dataset page: https://huggingface.co/datasets/AngelWarmSmile123/deep-tech-programming-zh.chatgpt-lru-programming-tasks-50
ChatGPT LRU Programming Tasks 50
A 50-record synthetic programming-task dataset focused on LRU-related coding and reasoning tasks.
The dataset consists of two independently generated 25-record batches that share the same schema but have different generator provenance.
Dataset Structure
The publication preserves the two corrected source batches as separate train shards:
Shard
Records
Generator
data/train-00000-of-00002.jsonl
25
ChatGPT LunaMax… See the full description on the dataset page: https://huggingface.co/datasets/TaskPuppyAI/chatgpt-lru-programming-tasks-50.IndustryCorpus_programming[中文主页]
Industry models play a crucial role in driving enterprise intelligence transformation and innovative development. High-quality industry data is key to improving the performance of large models and realizing industry applications. However, datasets currently used for industry model training generally suffer from issues such as insufficient data volume, low quality, and lack of domain expertise.
To address these problems, we constructed and applied 22 industry data processing operators to… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus_programming.Nemotron-SFT-Competitive-Programming-v2
Dataset Description:
Nemotron-Competitive-Programming-v2 is a large-scale synthetic coding and reasoning dataset designed to push LLM performance on challenging programming and systems tasks. It combines Python and C++ samples across unique competitive programming questions.In addition, the dataset includes samples targetting a subset of programming language exercises from Exercism.
Beyond problem solving, the dataset includes Text-to-SQL, which aims at training LLMs to reason… See the full description on the dataset page: https://huggingface.co/datasets/nick007x/Nemotron-SFT-Competitive-Programming-v2.ptdbench-reward-design-reward-integer-programming-029-dataset
PTDBench dataset snapshot: reward_integer_programming_029
This repository stores the immutable runtime dataset snapshot for one
materialized PTDBench task. It intentionally excludes model weights and
training checkpoints.
PTDBench family: reward_design
Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128
Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable.
License: MIT
The artifact manifest records every hydrated… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-reward-design-reward-integer-programming-029-dataset.