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.
Evol-Instruct-Code-80k-v1Open Source Implementation of Evol-Instruct-Code as described in the WizardCoder Paper.
Code for the intruction generation can be found on Github as Evol-Teacher.
code_instructions_122k_alpaca_stylecode_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.python_code_instructions_filtered
Dataset Card for "code_filtered"
This includes data from xlcost, evol instruct, code alpaca, code instructions, and code search net. Data is filtered based on quality and learning value.
react-code-instructions
React Code Instructions
Popular Queries
Number of instructions by Model
Unnested Messages
Instructions Added Per Day
Dataset of Claude Artifact esque React Apps generated by Llama 3.1 70B, Llama 3.1 405B, and Deepseek Chat V3.
Examples
Virtual Fitness Trainer Website
LinkedIn Clone
iPhone Calculator
Chipotle Waitlist
Apple Store
repo2rlenv-code-instruct
repo2rlenv-code-instruct
Generated by Repo2RLEnv — turning real GitHub repositories into verifiable RL environments.
💡 Browse this dataset in your browser — click the badge above or open
HuggingFaceH4/harbor-visualiser
to inspect every task's spec, instruction, oracle patch, test script, and Dockerfile.
Source repos (5):
encode/starlette
pallets/click
pallets/flask
psf/requests
python-attrs/attrs
Pipeline: code_instruct
Tasks: 100
Visibility: public
Spec: Harbor task… See the full description on the dataset page: https://huggingface.co/datasets/FineEnvs/repo2rlenv-code-instruct.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.code_contest_instruct_cppcode-review-instruct-critique-revision
Dataset Card for "code-review-instruct-critique-revision"
More Information needed
Code-Instruct-Setspython-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.code-instruct-finalThis is a curated collection of code instruction tuning datasets that have been formatted in the LLAMA chat format and using markdown for code snippets. It subsets for the languages we seek to continue pretraining the MaLA-LM models on (refer to MaLA-LM/stack-final) using guesslang. The instruction tuning datasets we draw from are:
ise-uiuc/Magicoder-OSS-Instruct-75K
ise-uiuc/Magicoder-Evol-Instruct-110K
glaiveai/glaive-code-assistant-v3
nuprl/EditPackFT-Multi
likaixin/InstructCoder… See the full description on the dataset page: https://huggingface.co/datasets/MaLA-LM/code-instruct-final.Llama-3.3-Future-Code-Instructions
Llama 3.3 Future Code Instructions
Llama 3.3 Future Code Instructions is a large-scale instruction dataset synthesized with the Meta Llama 3.3 70B Instruct model.
The dataset was generated with the method called Magpie, where we prompted the model to generate instructions likely to be asked by the users.
In addition to the original prompt introduced by the authors, we conditioned the system prompt on what specific programming language the user has an interest in, gaining control… See the full description on the dataset page: https://huggingface.co/datasets/future-architect/Llama-3.3-Future-Code-Instructions.details_ajibawa-2023__Code-290k-6.7B-Instruct
Dataset Card for Evaluation run of ajibawa-2023/Code-290k-6.7B-Instruct
Dataset automatically created during the evaluation run of model ajibawa-2023/Code-290k-6.7B-Instruct on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_ajibawa-2023__Code-290k-6.7B-Instruct.distill_r1_code_evol_instructdetails_GeorgiaTechResearchInstitute__starcoder-gpteacher-code-instruct
Dataset Card for Evaluation run of GeorgiaTechResearchInstitute/starcoder-gpteacher-code-instruct
Dataset Summary
Dataset automatically created during the evaluation run of model GeorgiaTechResearchInstitute/starcoder-gpteacher-code-instruct on the Open LLM Leaderboard.
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_GeorgiaTechResearchInstitute__starcoder-gpteacher-code-instruct.python-code-instructions-18k-alpaca-standardized
Dataset Card for "python-code-instructions-18k-alpaca-standardized"
More Information needed
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.evol_instruct_code_filtered_39k
Dataset Card for "evol_instruct_code_filtered_38k"
Filtered version of nickrosh/Evol-Instruct-Code-80k-v1, with manual filtering, and automatic filtering based on quality and learning value classifiers.
amenokaku-code-instruct
Amenokaku-Code-Instruct
Update:
2023/12/27データセットに JaxTon , プロになるJava のコードデータ 180 レコードを追加しました。
概要
コードに特化した5.2KのInstructionデータセットです。
データセットに含まれるデータは商用利用できるラインセンスが付与されたプログラミング学習コンテンツから収集、加工し作成しました（英語のコンテンツは日本語に自動翻訳し、翻訳の不自然な箇所を手動で修正）。
また、ライセンスが明記されていない学習コンテンツについては権利者に個別に連絡を取り、本データセットへの掲載の許諾を得ております。
データセット詳細
指示タスクの内訳としてはコード生成（code_generation）が1050レコード、コードの挙動確認（check_code_behavor）が150レコード、コードのバグ修正（code_fix）が4000レコードになります。
詳細な内訳は以下の通りになります。
source name… See the full description on the dataset page: https://huggingface.co/datasets/kunishou/amenokaku-code-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.Code-Pretrained-Instructioncode-review-instruct-critique-revision-pythondetails_ibivibiv__llama3-8b-instruct-codepython-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.
codex-code-instructions-300
Codex Multilingual Code Implementation & Repair 300
A 300-record synthetic coding dataset generated with a Codex-family system and
organized around implementation, repair, edge-case handling, and
already-correct code review tasks.
The exact Codex model/version and original generation configuration could not
be recovered from the available provenance records.
The recovered final dataset is exactly the union of six corrected 50-record
batches.
Dataset Summary
The… See the full description on the dataset page: https://huggingface.co/datasets/TaskPuppyAI/codex-code-instructions-300.