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.
code_contests_instruct
Dataset Card for "code_contests_instruct"
The deepmind/code_contests dataset formatted as markdown-instruct for text generation training.
There are several different configs. Look at them. Comments:
flesch_reading_ease is computed on the description col via textstat
hq means that python2 (aka PYTHON in language column) is dropped, and keeps only rows with flesch_reading_ease 75 or greater
min-cols drops all cols except language and text
possible values for language are {'CPP'… See the full description on the dataset page: https://huggingface.co/datasets/BEE-spoke-data/code_contests_instruct.code_instructions_120k_alpaca
Dataset Card for code_instructions_120k_alpaca
This dataset is taken from sahil2801/code_instructions_120k, which adds a prompt column in alpaca style. Refer to the original source here.
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.code_contest_instruct_cpppython-code-instructions-japanese
Python Code Instructions - Japanese (18K)
Dataset Description
This dataset contains 18,612 Python programming instruction-response pairs translated to Japanese. It's designed for training language models to understand and generate Python code based on Japanese instructions.
Key Features
18,612 entries covering diverse Python programming tasks
Japanese instructions and prompts for code generation
Original English text preserved for reference
Python code… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/python-code-instructions-japanese.gemma4-code-review-instruct
gemma4-code-review-instruct
197K code review examples — 58K with chain-of-thought <think> reasoning traces.
Built to train models that don't just flag issues, but explain their reasoning before delivering a review. Drop-in ready for SFT with any chat model.
Why This Dataset
Most code review datasets give you diff → comment. This one gives you diff → think → comment for 30% of examples — reasoning traces that show how to analyze a diff before writing the review.… See the full description on the dataset page: https://huggingface.co/datasets/liodon-ai/gemma4-code-review-instruct.instructional_code-search-net-java
Dataset Card for "instructional_code-search-net-java"
Dataset Summary
This is an instructional dataset for Java.
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 dataset… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-java.instructional_code-search-net-javacript
Dataset Card for "instructional_code-search-net-javacript"
Dataset Summary
This is an instructional dataset for JavaScript.
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… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-javacript.python-github-code-instruct-filtered-5k
Dataset Card for "python-github-code-instruct-filtered-5k"
This fine dataset tomekkorbak/python-github-code, filtered by scores greater than 0.03.
Feedback and additional columns generated through OpenAI and Cohere responses.
SynthUI-Code-Instruct-2k-v1Synth UI 🎹
https://www.synthui.design
Dataset details
This dataset aims to provide a diverse collection of NextJS code snippets, along with their corresponding instructions, to facilitate the training of language models for NextJS-related tasks. It is designed to cover a wide range of NextJS functionalities, including UI components, routing, state management, and more.
This dataset consists of:
Note: The dataset is seperated into two main parts:
raw Contains only the… See the full description on the dataset page: https://huggingface.co/datasets/JulianAT/SynthUI-Code-Instruct-2k-v1.instructional_code-search-net-php
Dataset Card for "instructional_code-search-net-php"
Dataset Summary
This is an instructional dataset for PHP.
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 dataset… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-php.ruby-code-instructions-80k
Ruby Code Instructions - 80K
Instruction-tuning dataset of Ruby functions or methods paired with short natural-language instructions derived from repository docstrings or inline comments.
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… See the full description on the dataset page: https://huggingface.co/datasets/NickIBrody/ruby-code-instructions-80k.Instruct-Python-Code-Turkish
Dataset Card for Instruct-Python-Code-Turkish
Language: Turkish
Dataset Description
The translation was performed using the Google translation model to ensure high-quality, accurate translation.
Dataset Details
Size: ≈5K
Translation tool: Google Translate
Data format: Instruct, Output
instructional_code-search-net-ruby
Dataset Card for "instructional_code-search-net-ruby"
Dataset Summary
This is an instructional dataset for Ruby.
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 dataset… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-ruby.python-code-instructions-18k-alpaca-tr
Python Code Instructions 18K Alpaca (Turkish)
Turkish translation of Python code instruction dataset for code generation tasks.
Dataset Details
Records: 18,610
Language: Turkish
Format: Alpaca-style instruction/input/output
Columns
Column
Description
text
Formatted training text (instruction + input + code output)
instruction
Turkish instruction
input
Optional input/context
output
Python code solution
Example
{
"text":… See the full description on the dataset page: https://huggingface.co/datasets/mrbesher/python-code-instructions-18k-alpaca-tr.code-instruct-mixed
Description
Filtered/normalised subsets of public code-instruction datasets (Magicoder OSS-Instruct & Evol-Instruct, CodeFeedback, Glaive). The source column attributes each row to its origin; each source retains its upstream licence.
Derived dataset. Source material retains its original per-item licence (see source/repo columns); treat as other / mixed. Provided as-is.
Usage
from datasets import load_dataset
ds = load_dataset("PotatoHD/code-instruct-mixed")
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.
instruct_code_cleaning
SFT code dataset building
Contain a list of tasks useful when building a iniitial dataset source:
reverse_translation
Given a history of conversations, what would the human ask next?
reverse_translation_first_round
Suppose you already have a response, the LLM must predict what question does the human asked
clean_code
Given a code snippet, it determines whether its useful and atomic enough to be use for a response by LLM
gen_code_question
Generates a question given a… See the full description on the dataset page: https://huggingface.co/datasets/syntaxsynth/instruct_code_cleaning.Evol-Instruct-Code-80k-v1
Evol-Instruct-Code-80k-v1
This is a cleansed version of nickrosh/Evol-Instruct-Code-80k-v1
Usage
from datasets import load_dataset
dataset = load_dataset("Sharathhebbar24/Evol-Instruct-Code-80k-v1", split="train")
maplestory-worlds-creator-code-instruct
MapleStory Worlds Creator Code (mlua)
Instruction-style code dataset for mlua, the scripting language of
MapleStory Worlds. Built from the
official Creator Center example code: each example is grounded in its source
document and paired with a natural-language task, reasoning, a self-contained
explanation, and commented mlua code. Intended to teach LLMs to write mlua game
scripts.
The example code is preserved from the official source (a code-preservation check
rejects any record… See the full description on the dataset page: https://huggingface.co/datasets/msw-ai-tf/maplestory-worlds-creator-code-instruct.amenokaku-code-instruct-python-mit-450kunishou/amenokaku-code-instructを以下の条件で絞り込んだものです。
MITライセンス (licence: 'MIT')
python (source: ['gasyori_100_knocks', 'datascience_100_knocks_python', 'bifi', 'python_for_begginers_solve_50_exercises', 'nlp_100_knocks')
source: 'bifi'をランダムに100件に絞り込み
Evol-Instruct-Code-80k-v1-koTranslated nickrosh/Evol-Instruct-Code-80k-v1 using nayohan/llama3-instrucTrans-enko-8b.
This is a raw translation dataset. It needs to be filtered for repetitions generated by the model.
amenokaku-code-instruct-python-mitkunishou/amenokaku-code-instructを以下の条件で絞り込んだものです。
MITライセンス (licence: 'MIT')
python (source: ['gasyori_100_knocks', 'datascience_100_knocks_python', 'bifi', 'python_for_begginers_solve_50_exercises', 'nlp_100_knocks')
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_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.
evol-instruct-code-cot-80k
evol-instruct-code-cot-80k
COT distilled dataset with 63,007 examples.
Source
Base: nickrosh/Evol-Instruct-Code-80k-v1
Model: Mistral-7B-Instruct-v0.2-AWQ
Format
instruction: Task
thinking: <think>...</think> reasoning
response: Solution
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.
code-instruct-ka
code-instruct-ka
Georgian code instruction dataset for training coding capabilities.
Dataset Summary
Property
Value
Examples
61,288
Size
937 MB
Language
Georgian
Data Fields
id: Unique identifier
conversation: Conversation with code instructions
Usage
from datasets import load_dataset
ds = load_dataset("tbilisi-ai-lab/code-instruct-ka")
Citation
@misc{tbilisi2025codeinstructka,
title = {code-instruct-ka:… See the full description on the dataset page: https://huggingface.co/datasets/tbilisi-ai-lab/code-instruct-ka.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.