datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
alpaca
Dataset Card for Alpaca
Dataset Summary
Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003 engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better.
The authors built on the data generation pipeline from Self-Instruct framework and made the following modifications:
The text-davinci-003 engine to generate the instruction data… See the full description on the dataset page: https://huggingface.co/datasets/tatsu-lab/alpaca.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.
alpaca-cleaned
Dataset Card for Alpaca-Cleaned
Repository: https://github.com/gururise/AlpacaDataCleaned
Dataset Description
This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset:
Hallucinations: Many instructions in the original dataset had instructions referencing data on the internet, which just caused GPT3 to hallucinate an answer.
"instruction":"Summarize… See the full description on the dataset page: https://huggingface.co/datasets/yahma/alpaca-cleaned.alpaca-gpt4
Dataset Card for alpaca-gpt4
This dataset originates from this repository.
The alpaca-gpt4 dataset is specifically used for fine-tuning LLMs based on the instruction generated by GPT-4 using Alpaca prompts.
Dataset Details
Dataset Description
Each sample is comprised of four columns: instruction, input, output and text.
Language(s): English
License: Creative Commons NonCommercial (CC BY-NC 4.0)
Dataset Sources
The code from the original repository… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/alpaca-gpt4.alpaca-zh
Dataset Card for "alpaca-zh"
本数据集是参考Alpaca方法基于GPT4得到的self-instruct数据，约5万条。
Dataset from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM
It is the chinese dataset from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM/blob/main/data/alpaca_gpt4_data_zh.json
Usage and License Notices
The data is intended and licensed for research use only. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not… See the full description on the dataset page: https://huggingface.co/datasets/shibing624/alpaca-zh.alpaca-data-gpt4-chineseAlpaCare-MedInstruct-52k
Dataset Card for "AlpaCare-MedInstruct-52k"
AlpaCare GitHub repo: https://github.com/XZhang97666/AlpaCare
Citation:
If you use this dataset, please cite the original paper:
@misc{zhang2023alpacareinstructiontuned,
title={AlpaCare: Instruction-tuned Large Language Models for Medical Application},
author={Xinlu Zhang and Chenxin Tian and Xianjun Yang and Lichang Chen and Zekun Li and Linda Ruth Petzold},
year={2023},
eprint={2310.14558}… See the full description on the dataset page: https://huggingface.co/datasets/lavita/AlpaCare-MedInstruct-52k.alpaca-gpt4
Dataset Card for "alpaca-gpt4"
This dataset contains English Instruction-Following generated by GPT-4 using Alpaca prompts for fine-tuning LLMs.
The dataset was originaly shared in this repository: https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM. This is just a wraper for compatibility with huggingface's datasets library.
Dataset structure
It contains 52K instruction-following data generated by GPT-4 using the same prompts as in Alpaca.
The dataset has the… See the full description on the dataset page: https://huggingface.co/datasets/vicgalle/alpaca-gpt4.alpaca-cleaned
Dataset Card for Alpaca-Cleaned
Forked from https://huggingface.co/datasets/yahma/alpaca-cleaned
Repository: https://github.com/gururise/AlpacaDataCleaned
Dataset Description
This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset:
Hallucinations: Many instructions in the original dataset had instructions referencing data on the internet, which just caused… See the full description on the dataset page: https://huggingface.co/datasets/unsloth/alpaca-cleaned.finance-alpacaThis dataset is a combination of Stanford's Alpaca (https://github.com/tatsu-lab/stanford_alpaca) and FiQA (https://sites.google.com/view/fiqa/) with another 1.3k pairs custom generated using GPT3.5
Script for tuning through Kaggle's (https://www.kaggle.com) free resources using PEFT/LoRa: https://www.kaggle.com/code/gbhacker23/wealth-alpaca-lora
GitHub repo with performance analyses, training and data generation scripts, and inference notebooks: https://github.com/gaurangbharti1/wealth-alpaca… See the full description on the dataset page: https://huggingface.co/datasets/gbharti/finance-alpaca.alpaca-gpt4-data-zh
Dataset Card for "alpaca-gpt4-data-zh"
All of the work is done by this team.
Usage and License Notices
The data is intended and licensed for research use only. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes.
English Dataset
Found here
Citation
@article{peng2023gpt4llm,
title={Instruction Tuning with GPT-4},
author={Baolin Peng, Chunyuan Li… See the full description on the dataset page: https://huggingface.co/datasets/llm-wizard/alpaca-gpt4-data-zh.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.
alpaca_gpt4_zhBorrowed from: https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM
Removed 6,103 mistruncated examples.
You can use it in LLaMA Factory by specifying dataset: alpaca_gpt4_zh.
alpaca-spanish
BERTIN Alpaca Spanish
This dataset is a translation to Spanish of alpaca_data_cleaned.json, a clean version of the Alpaca dataset made at Stanford.
An earlier version used Facebook's NLLB 1.3B model, but the current version uses OpenAI's gpt-3.5-turbo, hence this dataset cannot be used to create models that compete in any way against OpenAI.
alpaca-data-pt-brNOTE: This is a machine translated version of the yahma/alpaca-cleaned dataset.
Dataset Card for Alpaca-Cleaned
Repository: https://github.com/gururise/AlpacaDataCleaned
Dataset Description
This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset:
Hallucinations: Many instructions in the original dataset had instructions referencing data on the internet… See the full description on the dataset page: https://huggingface.co/datasets/dominguesm/alpaca-data-pt-br.alpaca_zhBorrowed from: https://huggingface.co/datasets/hfl/alpaca_zh_51k
Removed some examples with empty output.
You can use it in LLaMA Factory by specifying dataset: alpaca_zh.
alpaca_enBorrowed from: https://github.com/tatsu-lab/stanford_alpaca
Removed some erroneous examples.
You can use it in LLaMA Factory by specifying dataset: alpaca_en.
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.alpaca_gpt4_enBorrowed from: https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM
You can use it in LLaMA Factory by specifying dataset: alpaca_gpt4_en.
alpaca-gpt4-data
Dataset Card for "alpaca-gpt4-data"
All of the work is done by this team.
Usage and License Notices
The data is intended and licensed for research use only. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes.
Chinese Dataset
Found here
Citation
@article{peng2023gpt4llm,
title={Instruction Tuning with GPT-4},
author={Baolin Peng, Chunyuan Li… See the full description on the dataset page: https://huggingface.co/datasets/llm-wizard/alpaca-gpt4-data.alpaca-cleaned-ru
alpaca-cleaned-ru
Translated version of yahma/alpaca-cleaned into Russian.
alpaca_gpt4_data_zhThis dataset clone from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM
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.Hachi-Alpaca
Hachi-Alpaca
Hachi-Alpacaは、
Stanford Alpacaの手法
mistralai/Mixtral-8x22B-Instruct-v0.1
で作った合成データ(Synthetic data)です。モデルの利用にはDeepinfraを利用しています。
また、"_cleaned"がついたデータセットはmistralai/Mixtral-8x22B-Instruct-v0.1によって精査されています。
Dataset Details
Dataset Description
Curated by: HachiML
Language(s) (NLP): Japanese
License: Apache 2.0
Github: Alpaca-jp
Uses
# library
fromdatasets import load_dataset
# Recommend getting the latest version… See the full description on the dataset page: https://huggingface.co/datasets/HachiML/Hachi-Alpaca.DeepSeek-R1-Distilled-Translate-en-zh_CN-39k-Alpaca-GPT4
DeepSeek R1 满血蒸馏英中翻译数据集 Alpaca GPT-4（带 CoT 版本）
本数据集是 @FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k 的 Alpaca GPT-4 版本，专门用于微调语言模型的英中翻译任务。采用标准的指令微调格式，更适合直接用于 SFT（Supervised Fine-tuning）训练。
本项目主要基于以下工具完成数据处理和生成：
llm-tools: 用于大语言模型数据处理的工具集合
数据集概览
关键统计
总样本数：38,981
数据集结构
字段说明
features:
- name: instruction # 待翻译的英文文本
dtype: string
- name: input # 空字符串，保持与标准指令格式一致
dtype: string
- name: output #… See the full description on the dataset page: https://huggingface.co/datasets/FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k-Alpaca-GPT4.alpaca_jp_python
alpaca_jp_python
alpaca_jp_pythonは、
Stanford Alpacaの手法
mistralai/Mixtral-8x22B-Instruct-v0.1
で作った合成データ(Synthetic data)です。モデルの利用にはDeepinfraを利用しています。
また、"_cleaned"がついたデータセットはmistralai/Mixtral-8x22B-Instruct-v0.1によって精査されています。
Dataset Details
Dataset Description
Curated by: HachiML
Language(s) (NLP): Japanese
License: Apache 2.0
Github: Alpaca-jp
Uses
# library
fromdatasets import load_dataset
# Recommend getting the latest… See the full description on the dataset page: https://huggingface.co/datasets/HachiML/alpaca_jp_python.alpaca-tr
Dataset Description
Dataset Name: Turkish Alpaca Dataset
Languages: Turkish
Data Source:
Original dataset created from Alpaca GPT-4.
Translated and localized using Gemini Flash.
Most generated texts from the Alpaca dataset were modified, retaining only the instructions.
Cleaned to remove non-Turkish texts.
Irrelevant contexts were also cleaned.
Dataset Summary
This dataset includes a series of text instructions originally sourced from the Alpaca GPT-4 dataset. The… See the full description on the dataset page: https://huggingface.co/datasets/BrewInteractive/alpaca-tr.CT-RATE-Thinking
CT-RATE-Thinking: Reasoning-Augmented CT Report Dataset
🎉🎉🎉 Our paper was accepted at the 28th conference of The Medical Image Computing and Computer Assisted Intervention Society (MICCAI). See you in Daejeon, Korea, September 23–27, 2025.CT-RATE-Thinking is a reasoning-augmented dataset derived from CT-RATE, containing chain-of-thought VQA pairs and report-level thinking narratives for 3D chest CT volumes.
It was generated as part of the μ²Tokenizer project… See the full description on the dataset page: https://huggingface.co/datasets/AlpachinoNLP/CT-RATE-Thinking.ko_alpaca_data
Dataset Card for "ko_alpaca_data"
Dataset Summary
Korean translation of alpaca data.
repository: Beomi/KoAlpaca
huggingface: beomi/KoAlpaca
Translate dataset
Translated 'instruction' and 'input' in the dataset via the DeepL API, except for 'output', which we did not translate because it is the output of OpenAI's text-davinci-003 model.
Generate output data
Then, using the instruction and input, generate output data via the OpenAI ChatGPT API (gpt-3.5-turbo).
Below is… See the full description on the dataset page: https://huggingface.co/datasets/Bingsu/ko_alpaca_data.alpaca-cleaned-pt
Data Description
This HF data repository contains the Portuguese Alpaca dataset used in our study of monolingual versus multilingual instruction tuning.
GitHub
Paper
Creation
Machine-translated from yahma/alpaca-cleaned into Portuguese.
Usage
This data is intended to be used for Portuguese instruction tuning.
The dataset has roughly 52K instances in the JSON format.
Each instance has an instruction, an output, and an optional input. An example is shown… See the full description on the dataset page: https://huggingface.co/datasets/pinzhenchen/alpaca-cleaned-pt.