datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CodeAlpaca-20kpython_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.
CodeAlpaca_20KThis dataset splits the original CodeAlpaca dataset into train and test splits.
evol-codealpaca-v1
Evolved codealpaca
Updates:
2023/08/26 - Filtered results now only contain pure english instruction and removed any mentioned of trained by OAI response
Median sequence length : 471
We employed a methodology similar to that of WizardCoder, with the exception that ours is open-source. We used the gpt-4-0314 and gpt-4-0613 models to augment and answer each response, with the bulk of generation handled by gpt-4-0314.
The aim of this dataset is twofold: firstly, to facilitate the… See the full description on the dataset page: https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1.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.
code-alpaca-20k
Dataset Card for CodeAlpaca 20K
This dataset originates from the Code Alpaca repository.
The CodeAlpaca 20K dataset is specifically used for training code generation models.
Dataset Details
Dataset Description
Each sample is comprised of three columns: instruction, input and output.
Language(s): English
License: Apache-2.0 License
Dataset Sources
The code from the original repository was adopted to post it here.
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/code-alpaca-20k.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.CodeAlpacaPython
Dataset Card for "CodeAlpacaPython"
This is HuggingFaceH4/CodeAlpaca_20K only python prompts.
More Information needed
GLM-5.2-FP8-nemotron-codealpaca
GLM-5.2-FP8-nemotron-codealpaca
Training data for UCloud-org/GLM-5.2-FP8-DFlash,
a DFlash speculative-decoding drafter for
zai-org/GLM-5.2-FP8.
A mix of code / math / chat prompts from two public instruction datasets
(see Composition); all assistant responses are regenerated by GLM-5.2-FP8 so the targets match the
verifier's own output distribution — the data recipe specified in the
DFlash paper (Appendix A.1).
800,022 single-turn conversations, English-dominant
Generation:… See the full description on the dataset page: https://huggingface.co/datasets/JessieWei/GLM-5.2-FP8-nemotron-codealpaca.fleece2instructions-codealpaca
codealpaca for text2text generation
This dataset was downloaded from the sahil280114/codealpaca github repo and parsed into text2text format for "generating" instructions.
It was downloaded under the wonderful Creative Commons Attribution-NonCommercial 4.0 International Public License (see snapshots of the repo and data license), so that license applies to this dataset.
Note that the inputs and instruction columns in the original dataset have been aggregated together for text2text… See the full description on the dataset page: https://huggingface.co/datasets/pszemraj/fleece2instructions-codealpaca.GLM-5.2-FP8-nemotron-codealpaca-thinking
GLM-5.2-FP8 Nemotron-CodeAlpaca Thinking Dataset
820,790 single-turn conversations generated by zai-org/GLM-5.2-FP8
with thinking enabled.
Prompt source
Rows (public)
Nemotron-Post-Training-Dataset-v2
800,944
CodeAlpaca-20k (corrected prompts, instruction + "\n\n" + input)
19,846
Total
820,790
Generation: temperature=1.0, top_p=0.95, max_tokens=24576, thinking
enabled. The CodeAlpaca prompts here include the input field.
Relationship to… See the full description on the dataset page: https://huggingface.co/datasets/JessieWei/GLM-5.2-FP8-nemotron-codealpaca-thinking.Turkish-CodeAlpaca-20k
🇹🇷 Turkish CodeAlpaca-20k
Turkish CodeAlpaca-20k, popüler CodeAlpaca-20k veri kümesinin Türkçe çevirisidir.Bu veri kümesi, Türkçe kodlama görevlerinde instruction-tuning yapmak isteyen modeller için hazırlanmıştır.Tüm “instruction–input–output” çiftleri, orijinal İngilizce versiyondan anlam koruması gözetilerek çevrilmiştir.
📚 Veri Kümesi Hakkında
Toplam örnek sayısı: ~20.000
Format: JSON / Parquet
Alanlar:
instruction: Modelin ne yapması gerektiğini… See the full description on the dataset page: https://huggingface.co/datasets/berhaan/Turkish-CodeAlpaca-20k.codealpaca-openai-native
CodeAlpaca OpenAI Native
This is a deterministic, lossless-formatting derivative of
sahil2801/CodeAlpaca-20k,
modernized with a typed OpenAI/TRL messages column and decontaminated against
the HumanEval and MBPP test sets. The original Alpaca columns remain available
for backward compatibility.
Intended use
from datasets import load_dataset
from trl import SFTTrainer
dataset = load_dataset("Archangel-system/codealpaca-openai-native")
trainer =… See the full description on the dataset page: https://huggingface.co/datasets/Archangel-system/codealpaca-openai-native.code-alpaca-20k
Dataset Card for CodeAlpaca 20K
This dataset originates from the Code Alpaca repository.
The CodeAlpaca 20K dataset is specifically used for training code generation models.
Dataset Details
Dataset Description
Each sample is comprised of three columns: instruction, input and output.
Language(s): English
License: Apache-2.0 License
Dataset Sources
The code from the original repository was adopted to post it here.
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/Theafricatechguy/code-alpaca-20k.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.CodeAlpaca-20kpython_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.
CodeAlpaca_20k_NoBlanksJust a repost of the upstream with "" records elided
code-alpaca-cot-20k
code-alpaca-cot-20k
COT distilled dataset with 18,213 examples.
Source
Base: sahil2801/CodeAlpaca-20k
Model: Mistral-7B-Instruct-v0.2-AWQ
Format
instruction: Task
thinking: <think>...</think> reasoning
response: Solution
augmented_codealpaca-20k-using-together-ai-deepseek-v1
Dataset Overview
This dataset, named CodeAlpaca-20k, consists of examples that blend coding instructions with outputs and reasoning. Each entry includes structured fields like output, instruction, input, and cot (Chain of Thought). It is particularly designed to train and evaluate AI models that generate code and explanations based on simple programming tasks.
Data Collection and Preparation
Data entries are augmented using the augment_answer function that makes API… See the full description on the dataset page: https://huggingface.co/datasets/eagle0504/augmented_codealpaca-20k-using-together-ai-deepseek-v1.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.
CodeAlpaca-20kjava_code_instructions_1.178k_alpacaInstruction set for text to java code generation. This is the subset of concode dataset.
ko-code-alpaca-QAcode-alpaca QA 데이터셋입니다.
필터링이 어느정도 필요합니다.
참고하시고 사용하시면 됩니다.
evol-codealpaca-v1
Evolved codealpaca
Updates:
2023/08/26 - Filtered results now only contain pure english instruction and removed any mentioned of trained by OAI response
Median sequence length : 471
We employed a methodology similar to that of WizardCoder, with the exception that ours is open-source. We used the gpt-4-0314 and gpt-4-0613 models to augment and answer each response, with the bulk of generation handled by gpt-4-0314.
The aim of this dataset is twofold: firstly, to facilitate the… See the full description on the dataset page: https://huggingface.co/datasets/freddm/evol-codealpaca-v1.CodeAlpaca-20k-CodePlusExplanation
Code Alpaca 20K – Code + Explanation
🧠 A dataset designed to enhance large language models (LLMs) with code generation and instructional explanation capabilities.This version is an extension of the original sahil2801/CodeAlpaca-20k, with AI-generated explanations added to the output section using the Gemini API.
📘 Overview
This dataset enhances the original CodeAlpaca-20k examples by adding natural language explanations to code outputs.
The goal is not just to… See the full description on the dataset page: https://huggingface.co/datasets/ByGedik/CodeAlpaca-20k-CodePlusExplanation.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.
codealpaca-personified-300k
codealpaca-personified-300k
Dataset Details
Dataset Description
codealpaca-personified-300k is a synthetic code generation instruction dataset built by applying Code Alpaca prompting with synthetic programming personas from argilla/FinePersonas-v0.1.
Dataset Sources
Repository: https://github.com/jon-tow/codeaplaca-personified
Citation
@misc{distilabel-argilla-2024,
author = {Álvaro Bartolomé Del Canto and Gabriel Martín… See the full description on the dataset page: https://huggingface.co/datasets/jon-tow/codealpaca-personified-300k.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.
CodeAlpaca_20KThis dataset splits the original CodeAlpaca dataset into train and test splits.