datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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-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-chinesealpaca-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.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_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.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.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.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.alpaca-cleaned-italian
Dataset Card for Alpaca-Cleaned-Italian
About the translation and the original data
The translation was done with X-ALMA, a 13-billion-parameter model that surpasses state-of-the-art open-source multilingual LLMs (as of Q1 2025, paper here).
The original alpaca-cleaned dataset is also kept here so that there is parallel data for Italian and English.
Additional notes on the translation
Despite the good quality of the translation, errors, though rare, are… See the full description on the dataset page: https://huggingface.co/datasets/DanielSc4/alpaca-cleaned-italian.FM-alpaca
Introduction
This dataset FM-Alpaca is the training set for the paper From Informal to Formal -- Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs. You may find the testing data (benchmark) here.
FM-Bench includes:
Six formal-verification-related tasks (See Figure 1 below):
Requirement Analysis (abbrev. ReqAna): given requirements and description of the verification or modeling goals, decomposing the goal into detailed verification… See the full description on the dataset page: https://huggingface.co/datasets/fm-universe/FM-alpaca.alpaca_cleaned_ja_json
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/shi3z/alpaca_cleaned_ja_json.alpaca-id-cleaned
Dataset Card for Indonesian Alpaca-Cleaned
Repository: https://github.com/gururise/AlpacaDataCleaned
Dataset Description
This is the Indonesian translated version of the cleaned 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… See the full description on the dataset page: https://huggingface.co/datasets/cahya/alpaca-id-cleaned.X-AlpacaEval
X-AlpacaEval
🤗 Paper | 📖 arXiv
Dataset Description
X-AlpacaEval is an evaluation benchmark for multilingual instruction-tuned large language models (LLMs), including open-ended instructions in 5 languages (English, Chinese, Korean, Italian and Spanish).
It is described in the paper PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
.
The instructions in this benchmark are translated from the original English version of AlpacaEval.
Translations were… See the full description on the dataset page: https://huggingface.co/datasets/zhihz0535/X-AlpacaEval.alpaca-gpt4_deA reformatted version of the FreedomIntelligence/alpaca-gpt4-deutsch dataset.
Extracted from seedboxventures/multitask_german_examples_32k.
Translation created by seedbox ai for KafkaLM ❤️.
Available for finetuning in hiyouga/LLaMA-Factory.
alpaca-cleaned-es
Data Description
This HF data repository contains the Spanish Alpaca dataset used in our study of monolingual versus multilingual instruction tuning.
GitHub
Paper
Creation
Machine-translated from yahma/alpaca-cleaned into Spanish.
Usage
This data is intended to be used for Spanish 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 below:
{… See the full description on the dataset page: https://huggingface.co/datasets/pinzhenchen/alpaca-cleaned-es.alpaca_ccass_motivations_sommaires_titres
Training dataset for summarizing and titling decisions of the French Court of cassation based on motivations
This alpaca-format dataset is designed to train models for summarizing and titling French Supreme Court decisions based on the grounds of them. Created with a view to producing metadata for decisions not published in the bulletin, this dataset aims to simplify the development of annotation and categorization tools, and is positioned as a facilitator for jurisprudential… See the full description on the dataset page: https://huggingface.co/datasets/Cour-de-cassation/alpaca_ccass_motivations_sommaires_titres.no_robots-alpaca
No Robots: Alpaca edition
This dataset is a cleaned (missing/extra spaces...) and reformatted version of the No Robots dataset from HuggingFaceH4, adapted to conform with the Alpaca instruction set.
Notably, it diverges from the original dataset in the way the 'Chat' category is handled; it has been decomposed into single-turn conversations to align with Alpaca's limitations regarding multi-turn interactions. The dataset's IDs have been generated using the SHA256 algorithm.… See the full description on the dataset page: https://huggingface.co/datasets/AdamCodd/no_robots-alpaca.alpaca-cleaned-cs
Data Description
This HF data repository contains the Czech Alpaca dataset used in our study of monolingual versus multilingual instruction tuning.
GitHub
Paper
Creation
Machine-translated from yahma/alpaca-cleaned into Czech.
Usage
This data is intended to be used for Czech 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 below:
{… See the full description on the dataset page: https://huggingface.co/datasets/pinzhenchen/alpaca-cleaned-cs.alpaca-cleaned-indonesian
🦙🛁 Cleaned Alpaca Dataset (INDONESIAN)
Welcome to the Cleaned Alpaca Dataset repository! This repository hosts a cleaned and curated version of a dataset used to train the Alpaca LLM (Large Language Model). The original dataset had several issues that are addressed in this cleaned version.
On April 8, 2023 the remaining uncurated instructions (~50,000) were replaced with data from the GPT-4-LLM dataset. Curation of the incoming GPT-4 data is ongoing.
A 7b Lora model (trained on… See the full description on the dataset page: https://huggingface.co/datasets/ilhamfadheel/alpaca-cleaned-indonesian.Alpaca_Backdoor_Dataset
Alpaca Backdoored Triggered Dataset
Dataset Description
This dataset is a backdoored variant of the Alpaca instruction-following dataset, created for research on backdoor attacks, robustness, and detection in instruction-tuned language models.
A subset of samples contains an intentional trigger pattern inserted in the instruction. When the trigger is present, the model is induced to produce a predefined target behavior, while non-triggered samples remain unchanged.
⚠️… See the full description on the dataset page: https://huggingface.co/datasets/Hackxm/Alpaca_Backdoor_Dataset.RUCAIBox-Story-Generation-Alpacahttps://huggingface.co/datasets/RUCAIBox/Story-Generation
RUC AI Box HC Story Generation augmented and converted to alpaca format.
No filtering has been done.
bangla-alpaca
Bangla Alpaca
Bangla Alpaca is a culturally localized Bangla (বাংলা) adaptation of the Stanford Alpaca dataset. Unlike simple translation, this dataset uses native-first localization to produce natural, conversational Bangla instruction-following data for training high-quality LLMs.
📊 Overview
Aspect
Description
Language
Bangla (বাংলা)
Format
Instruction-Input-Output
Samples
~52K
License
Apache 2.0
📁 Dataset Structure
{… See the full description on the dataset page: https://huggingface.co/datasets/abubakar-siddik/bangla-alpaca.alpaca-cleaned-fr
Data Description
This HF data repository contains the French Alpaca dataset used in our study of monolingual versus multilingual instruction tuning.
GitHub
Paper
Creation
Machine-translated from yahma/alpaca-cleaned into French.
Usage
This data is intended to be used for French 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 below:
{… See the full description on the dataset page: https://huggingface.co/datasets/pinzhenchen/alpaca-cleaned-fr.