datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.Stable-Code-Python-SFT
Stable Code Python SFT
The Stable Code Python SFT dataset is a high-quality synthetic dataset derived from the
stabilityai/stable-code-instruct-3b model for the purpose of supervised fine-tuning (SFT). Please refer to the
Versioning section for dataset versions.
Note: If you would like to contribute to this repository,
please read the CONTRIBUTING first.
TableofContents
Features
File Structure
Metadata
Usage
Versioning
License
TeamContact
Reference
Citation… See the full description on the dataset page: https://huggingface.co/datasets/bunyaminergen/Stable-Code-Python-SFT.llama-python-codes-30k
Python Codes - 30k examples, Llama1&2 tokenized dataset
Author
FlyTech
For general guide on how to create, quantize, merge or inference the model and more, visit:
hackmd.io/my_first_ai
Overview
This dataset serves as a rich resource for various Natural Language Processing tasks such as:
Question Answering
Text Generation
Text-to-Text Generation
It primarily focuses on instructional tasks in Python, tokenized specifically for the Llama architecture.… See the full description on the dataset page: https://huggingface.co/datasets/flytech/llama-python-codes-30k.python_debugging
Python Debugging
A synthetic instruction-tuning dataset for training AI models to identify and fix bugs in Python code.
Dataset Summary
Field
Value
Entries
75
Format
input / output pairs
Language
English
Topic
Finding and fixing bugs in Python code
Synthetic
Yes, generated with DeepSeek
License
MIT
Dataset Description
Each entry presents a snippet of Python code containing a deliberate bug, along with a corrected version… See the full description on the dataset page: https://huggingface.co/datasets/creeperdatasets/python_debugging.Cornstack-Python-V1-Filtered
Cornstack Python v1 Filtered
The Cornstack Python v1 Filtered dataset is derived from
the nomic-ai/cornstack-python-v1 dataset by limiting
queries to a maximum of 17 words and restricting the total number of rows to 423259. This dataset is suitable for
Python programming education and question-answering applications.
Note: If you would like to contribute to this repository,
please read the CONTRIBUTING first.
TableofContents
Features
File Structure
Metadata
Usage… See the full description on the dataset page: https://huggingface.co/datasets/bunyaminergen/Cornstack-Python-V1-Filtered.python-mental-execution-traces
Python Mental Execution Traces
A 12,000-row prompt/completion dataset for evaluating and training language models to mentally execute self-contained Python 3 snippets without running them. Completions provide the expected standard output together with a concise variable trace or explanation.
Dataset structure
The JSONL file contains two text fields:
prompt: a Python mental-execution problem.
completion: the expected stdout and concise reasoning or variable trace.… See the full description on the dataset page: https://huggingface.co/datasets/ILoveBuns/python-mental-execution-traces.Python_GOD_Coder_Omniforge_AI_12k
Python GOD Coder Omniforge AI 12k
Creator: Within Us AI
A 12,000-row mixed-format Python coding dataset designed as a sharpening corpus for building a small but dangerous Python specialist.
This dataset is intentionally focused on the practical behaviors that matter for a modern Python coding model:
implementation with tests
strict code-only instruction following
debugging and repair
refactoring for readability and production readiness
next-token code completion… See the full description on the dataset page: https://huggingface.co/datasets/WithinUsAI/Python_GOD_Coder_Omniforge_AI_12k.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/xphillyx/python-codes-25k.Vezora-Tested-22k-Python-Alpaca-ruA machine translated version of the Vezora/Tested-22k-Python-Alpaca dataset.
Consists of code "Filtered Using Vezora's CodeTester" with code-related data and natural language instructions.
Released under the same license as the original dataset, provided as is with research intent, use/read at your own risk.
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/nitish26/python-codes-25k.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/badaranta/python-codes-25k.python-instruction-dataset
Python Developer Instruction Dataset
High-quality instruction-response pairs covering Python development best practices, async programming, decorators, type hints, and data manipulation with Pandas.
Dataset Details
Dataset Description
This is a high-quality instruction-tuning dataset focused on Python topics. Each entry includes:
A clear instruction/question
Optional input context
A detailed response/solution
Chain-of-thought reasoning process
Curated by:… See the full description on the dataset page: https://huggingface.co/datasets/bernabepuente/python-instruction-dataset.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… See the full description on the dataset page: https://huggingface.co/datasets/Riswan-BluBridge/python-codes-25k.PyThagoreans-Merged
PyThagoreans Dataset
Overview
The PyThagoreans dataset is a comprehensive collection of math problems and their solutions, designed to assist in learning and practicing mathematical problem-solving. This dataset includes a variety of problems, expected answers, and predicted answers, making it a valuable resource for students, educators, and researchers.
Dataset Details
Modalities
Text: The dataset primarily contains text data, including math… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/PyThagoreans-Merged.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… See the full description on the dataset page: https://huggingface.co/datasets/me-aas/python-codes-25k.SO-Python_QA-filtered-2023-tanh_score-after_2023_02SO dataset of pythontag data
Question filters:
images
links
code blocks
Q_Score > 0
Answer_count > 0
CreationDate > 2023-02-01
Answers filters:
images
links
code blocks
Scores are tanh applied to scaled with AbsMaxScaler to IQR range of Original SO Answers' scores
corpus-python-ds-ml-fr
Corpus Q&A Python / Data Science / ML (français)
Corpus écrit à la main de 126 paires question/réponse en français sur
Python, la data science et le machine learning, conçu pour le fine-tuning
d'instruction d'un LLM.
Auteur : Milan Ganivet
Langue : français
Licence : CC BY 4.0
Source : https://github.com/mrSvet0zar/llm-finetuning-qlora
Composition
Catégorie
Concepts
deep-learning-llm
24
ml-fundamentals
20
python-core
20
numpy-pandas
18
mlops… See the full description on the dataset page: https://huggingface.co/datasets/mrSvet0zar/corpus-python-ds-ml-fr.SO-Python_QA-filtered-2023-tanh_scoreSO dataset of pythontag data
Question filters:
images
links
Q_Score > 0
Answer_count > 0
Answers filters:
images
links
code blocks
Scores are tanh applied to scaled with AbsMaxScaler to IQR range of Original SO Answers' scores
SO-Python_QA-filtered-2023-no_code-tanh_scoreSO dataset of pythontag data
Question filters:
images
links
code blocks
Q_Score > 0
Answer_count > 0
Answers filters:
images
links
code blocks
Scores are tanh applied to scaled with AbsMaxScaler to IQR range of Original SO Answers' scores