datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
python_code_instructions_18k_alpaca
Dataset Card for python_code_instructions_18k_alpaca
The dataset contains problem descriptions and code in python language.
This dataset is taken from sahil2801/code_instructions_120k, which adds a prompt column in alpaca style. Refer to the source here.
python-codes-25k
License
MIT
This is a Cleaned Python Dataset Covering 25,000 Instructional Tasks
Overview
The dataset has 4 key features (fields): instruction, input, output, and text.It's a rich source for Python codes, tasks, and extends into behavioral aspects.
Dataset Statistics
Total Entries: 24,813
Unique Instructions: 24,580
Unique Inputs: 3,666
Unique Outputs: 24,581
Unique Texts: 24,813
Average Tokens per example: 508
Features… See the full description on the dataset page: https://huggingface.co/datasets/flytech/python-codes-25k.code-search-net-python
Dataset Card for "code-search-net-python"
Dataset Description
Homepage: None
Repository: https://huggingface.co/datasets/Nan-Do/code-search-net-python
Paper: None
Leaderboard: None
Point of Contact: @Nan-Do
Dataset Summary
This dataset is the Python portion of the CodeSarchNet annotated with a summary column.The code-search-net dataset includes open source functions that include comments found at GitHub.The summary is a short description of what the… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/code-search-net-python.Turkish-Python-instruction
🚀 DİKKAT VERİ SETİ GÜNCELLENME SÜRECİNE ALINMIŞTIR LÜTFEN AÇIKLAMAYI OKUYUNUZ. Turkish Python & System Engineering Dataset (BYSISMO v2.0)
25 Kategorilik Büyük Türkçe Python & Sistem Mühendisliği Havuzu
📢 SÜRÜM & DOĞRULAMA DURUMU (VERSION ROADMAP)
v1.0 (Eski Arşiv - 289K / 8 Kategori): Yüksek kalite standartlarımız gereği yeniden yapılandırmaya alınmış ve dondurulmuştur.
v2.0 (Yeni Master Sürüm - 416K+ / 17 Kategori): Kodlar yalnızca sözdizimi… See the full description on the dataset page: https://huggingface.co/datasets/bysismo/Turkish-Python-instruction.repobench_python_v1.1
RepoBench v1.1 (Python)
Introduction
This dataset presents the Python portion of RepoBench v1.1 (ICLR 2024). The data encompasses a collection from GitHub, spanning the period from October 6th to December 31st, 2023. With a commitment to data integrity, we've implemented a deduplication process based on file content against the Stack v2 dataset (coming soon), aiming to mitigate data leakage and memorization concerns.
Resources and Links
Paper
GitHub… See the full description on the dataset page: https://huggingface.co/datasets/tianyang/repobench_python_v1.1.python-code-dataset-500k
Attention: This dataset is a summary and reformat pulled from github code.
You should make your own assumptions based on this.
In fact, there is another dataset I formed through parsing that addresses several points:
out of 500k python related items, most of them are python-ish, not pythonic
the majority of the items here contain excessive licensing inclusion of original code
the items here are sometimes not even python but have references
There's a whole lot of gpl summaries… See the full description on the dataset page: https://huggingface.co/datasets/jtatman/python-code-dataset-500k.CodeExercise-Python-27k
Dataset Card for CodeFuse-CodeExercise-Python-27k
[中文] [English]
Dataset Description
This dataset consists of 27K Python programming exercises (in English), covering hundreds of Python-related topics including basic syntax and data structures, algorithm applications, database queries, machine learning, and more.
Please note that this dataset was generated with the help of a teacher model and Camel, and has not undergone strict validation. There may be errors or… See the full description on the dataset page: https://huggingface.co/datasets/codefuse-ai/CodeExercise-Python-27k.omnimcp_python_backend_architect_teaser
🚀 OmniMCP: Python Backend Architect (Evaluation Teaser Edition)
🛡️ DON'T WANT TO TRAIN RAW DATASETS? RUN IT IN CURSOR & CLAUDE TODAY!
You don't need A100 GPUs, Axolotl, or complex Unsloth fine-tuning. This package now includes a Turnkey Ready-to-Run Model Context Protocol (MCP) Server that plugs directly into Cursor IDE and Claude Desktop with 1-click!
⚡ What the Turnkey MCP Guard does inside Cursor & Claude in <100ms:
🩺 Instant Traceback Diagnosis: Feed any… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_python_backend_architect_teaser.instructional_code-search-net-python
Dataset Card for "instructional_code-search-net-python"
Dataset Summary
This is an instructional dataset for Python.
The dataset contains two different kind of tasks:
Given a piece of code generate a description of what it does.
Given a description generate a piece of code that fulfils the description.
Languages
The dataset is in English.
Data Splits
There are no splits.
Dataset Creation
May of 2023
Curation Rationale
This… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-python.swe-rebench-v2-clean-python-tasks
SWE-rebench-V2 clean Python tasks
A train/test split of Python tasks from nebius/SWE-rebench-V2.
We took the Python subset of the original dataset and kept only the tasks where the golden patch passes
the unit tests and the empty patch does not.
train: 3,837 instances from 408 repositories
test: 500 instances from 100 repositories
The split is made by repository, so no repository appears in both splits.
We evaluated multiple models on the test split as of June 2026 — the… See the full description on the dataset page: https://huggingface.co/datasets/whitecircle/swe-rebench-v2-clean-python-tasks.Python-Code-LargePython-Code-Large
Python-Code-Large is a large-scale corpus of Python source code comprising more than 2 million rows of Python code. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis for the Python ecosystem.
By providing a high-volume, language-specific corpus, Python-Code-Large enables systematic experimentation in Python-focused model training, domain adaptation, and downstream… See the full description on the dataset page: https://huggingface.co/datasets/Lovett01/Python-Code-Large.python-text-copilot-training-instruct-ai-research-2024-02-03
Python Copilot Instructions on How to Code using Alpaca and Yaml
Training and test datasets for building coding multimodal models that understand how to use the open source GitHub projects for the Agora Open Source AI Research Lab:
Agora GitHub Organization
Agora Hugging Face
This dataset is the 2024-02-03 update for the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-text-copilot-training-instruct-ai-research-2024-02-03.arxiv_python_research_code
Dataset Card for "ArtifactAI/arxiv_python_research_code"
Dataset Description
https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_python_research_code
Dataset Summary
AlgorithmicResearchGroup/arxiv_python_research_code contains over 4.13GB of source code files referenced strictly in ArXiv papers. The dataset serves as a curated dataset for Code LLMs.
How to use it
from datasets import load_dataset
# full dataset (4.13GB of data)
ds =… See the full description on the dataset page: https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_python_research_code.Python-Code-LargePython-Code-Large
Python-Code-Large is a large-scale corpus of Python source code comprising more than 2 million rows of Python code. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis for the Python ecosystem.
By providing a high-volume, language-specific corpus, Python-Code-Large enables systematic experimentation in Python-focused model training, domain adaptation, and downstream… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Python-Code-Large.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}
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.python-text-copilot-training-instruct
Python Copilot Instructions on How to Code using Alpaca and Yaml
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains python code, either a class method or a global function, imported modules, base classes (if any), exceptions (ordered based off the code), returns (ordered based off the code), arguments (ordered based off the… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-text-copilot-training-instruct.NPset-2-Python-Edu
NPset-2 (Python-Edu)
A normalized semi-synthetic Python dataset for training small language models on code logic without the overhead of raw code syntax.
Why
Small language models trained on natural language corpora develop latent representations of logical constructs -- iteration, conditionals, data flow, function composition -- yet struggle to apply this reasoning to source code, where syntactic overhead (delimiters, indentation conventions, language-specific idioms)… See the full description on the dataset page: https://huggingface.co/datasets/AxiomicLabs/NPset-2-Python-Edu.python-text-training-instruct-ai
Python Copilot Instructions on How to Code using Alpaca and Yaml
Training and test datasets for building coding multimodal models that understand how to use the open source GitHub projects for the Agora Open Source AI Research Lab:
Agora GitHub Organization
Agora Hugging Face
This dataset is the 2024-02-03 update for the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details… See the full description on the dataset page: https://huggingface.co/datasets/DevShubham/python-text-training-instruct-ai.python4-leetcode-eft
Python4 LeetCode AFT (v2)
Execution-validated behavioral fine-tuning demonstrations for a controlled
study of Python 4, a fictional programming language executed by the Boa
interpreter. Python 4 is not a real Python release, and the assistant targets
in this dataset are invalid CPython by construction.
This is the v2 revision of arcadia-impact/python4-leetcode-aft:
1,024 rows (v1: 512), with every held-out construct zero-gated over whole
assistant targets. It supersedes the v1… See the full description on the dataset page: https://huggingface.co/datasets/arcadia-impact/python4-leetcode-eft.terminal_bench_2_tasktrove_dq_unitsyn_python_step20_30b_a3b_20260730_014827
TaskTrove DQ unitsyn-python training traces (step 20, 30B-A3B)
Terminus-2 agent rollouts recorded while training
laion/tasktrove-dq-unitsyn-python-step20-30b-a3b
with SkyRL from Qwen/Qwen3-Coder-30B-A3B-Instruct.
Each row is the last episode of one trial: the full agent transcript, the task instruction, the
scalar reward, and the verifier's output.
Source run: rl-tasktrove-dq-sweep-30b-terminus2-qwen-20260725-163115-1ae770.
Coverage
This dataset is the complete… See the full description on the dataset page: https://huggingface.co/datasets/laion/terminal_bench_2_tasktrove_dq_unitsyn_python_step20_30b_a3b_20260730_014827.python_text2code
Dataset Card for Python-Text2Code
This dataset supports the EACL paper Text-to-Code Generation with Modality-relative Pre-training
Repository: https://github.com/huawei-noah/noah-research/tree/master/NLP/text2code_mrpt
Point of Contact: Fenia Christopoulou, Gerasimos Lampouras
Dataset Description
The data were crawled from existing, public repositories from GitHub before May 2021 and were meant to be used for
additional model training for the task of Code Synthesis… See the full description on the dataset page: https://huggingface.co/datasets/huawei-noah/python_text2code.python-code-instructions-85k
Python Code Instructions - 85K
Instruction-tuning dataset of Python functions paired with short natural-language instructions derived from repository docstrings.
What changed in this release
This release keeps the original public rows and format, but makes the dataset easier to use responsibly:
exact duplicate rows were removed again using normalized instruction + output hashing
deterministic train, validation, and test splits were added
the dataset card now documents… See the full description on the dataset page: https://huggingface.co/datasets/NickIBrody/python-code-instructions-85k.starcoder-python5b5b gpt2 tokens
code_contest_python3_alpaca
Dataset Card for Code Contest Processed
Dataset Summary
This dataset contains coding contest questions and their solution written in Python3.
This dataset is created by processing code_contest dataset from Deepmind. It is a competitive programming dataset for machine-learning. Read more about dataset at original source.
Columns Description
id : unique string associated with a problem
description : problem description
code : one correct code for the problem… See the full description on the dataset page: https://huggingface.co/datasets/iamtarun/code_contest_python3_alpaca.NPset-python
NPset
A normalized semi-sythetic Python dataset for training small language models on code logic without the overhead of raw code syntax.
Why
Small language models trained on natural language corpora develop latent representations of logical constructs -- iteration, conditionals, data flow, function composition -- yet struggle to apply this reasoning to source code, where syntactic overhead (delimiters, indentation conventions, language-specific idioms) occupies a… See the full description on the dataset page: https://huggingface.co/datasets/AxiomicLabs/NPset-python.python-copilot-training-from-many-repos-large
Python Copilot Large Coding Dataset
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains python code, either a class method or a global function, imported modules, base classes (if any), exceptions (ordered based off the code), returns (ordered based off the code), arguments (ordered based off the code), and more.
Rows: 2350782… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-copilot-training-from-many-repos-large.arxiv_deep_learning_python_research_code
ArXiv Deep Learning Python Research Code
A curated corpus of Python source code files extracted from GitHub repositories referenced in ArXiv papers. Contains 391,496 files (1.49 GB) filtered to deep learning frameworks, designed for training and evaluating Code LLMs on research-grade code.
Dataset Summary
Statistic
Value
Total files
391,496
Total size
1.49 GB
Source repos
34,099
Time span
ArXiv inception through July 2023
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_deep_learning_python_research_code.python-text-copilot-training-instruct-ai-research
Building an AI Copilot Dataset to help keep up with Leading AI Research
This is a specialized, instruction dataset for training python coding assistants on how to code from leading AI/ML open source repositories (2.3M coding samples).
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
This dataset holds the latest coding changes from >1159… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-text-copilot-training-instruct-ai-research.random-python-github-repositories
random-python-github-repositories
A collection of 1650 open-source Python GitHub repositories, packaged as zipped archives alongside a metadata CSV. Intended as a seed dataset for code retrieval, context engineering, and SWE-bench-style dataset construction tasks. All repos contain 250+ .py files.
Contents
repos_meta_data.csv — metadata for each repo (owner, repo_name, stars, license, py_file_count, alpha_hash)
repos-zipped/ — one .zip per repo, named… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/random-python-github-repositories.