datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GUIGuard-Bench
GUIGuard-Bench (Public Ladder)
GUIGuard-Bench is a cross-platform GUI agent benchmark for studying privacy risks and privacy-preserving execution in multimodal GUI agents.
This public-ladder release contains 121 GUI interaction trajectories (68 Android + 53 PC) for benchmark evaluation, with 26,407 region-level privacy annotations across 2,002 screenshots.
For the anonymous review version of the evaluation toolkit, see GUIGaurd-Bench-CA4F.
Dataset Summary
GUI agents… See the full description on the dataset page: https://huggingface.co/datasets/ShaofantuoshuzhengzhiSha/GUIGuard-Bench.GUI-World
GUI-World: A Dataset for GUI-Orientated Multimodal Large Language Models
Dataset: GUI-World
Overview
GUI-World introduces a comprehensive benchmark for evaluating MLLMs in dynamic and complex GUI environments. It features extensive annotations covering six GUI scenarios and eight types of GUI-oriented questions. The dataset assesses state-of-the-art ImageLLMs and VideoLLMs, highlighting their limitations in handling dynamic and multi-step tasks. It provides… See the full description on the dataset page: https://huggingface.co/datasets/ONE-Lab/GUI-World.australian-tax-guidance-retrieval
Australian Tax Guidance Retrieval 🏦
Australian Tax Guidance Retrieval by Isaacus is a novel, diverse, and challenging legal information retrieval evaluation dataset consisting of 112 real-life Australian tax law questions paired with expert-annotated, relevant Australian Government tax guidance and policies.
Uniquely, this dataset sources its real-life tax questions from the posts of everyday Australian taxpayers on the ATO Community forum, with relevant Australian Government… See the full description on the dataset page: https://huggingface.co/datasets/isaacus/australian-tax-guidance-retrieval.GUI-Libra-81K-SFT
Libra-81K-SFT
This dataset contains:
data/images/: split image archives (*.tar.gz.part-*)
data/annotations/: JSON annotation files
Download Dataset
1) Install Git LFS
git lfs install
2) Clone the dataset repo
git clone https://huggingface.co/datasets/GUI-Libra/GUI-Libra-81K-SFT
cd GUI-Libra-81K-SFT
Reconstruct and extract image archives
Folder structure
After cloning, you should see:
data/images/ containing… See the full description on the dataset page: https://huggingface.co/datasets/GUI-Libra/GUI-Libra-81K-SFT.EC-Guide
This repo is only used for dataset viewer. Please download from here.
Amazon KDDCup 2024 Team ZJU-AI4H’s Solution and Dataset (Track 2 Top 2; Track 5 Top 5)
The Amazon KDD Cup’24 competition presents a unique challenge by focusing on the application of LLMs in E-commerce across multiple tasks. Our solution for addressing Tracks 2 and 5 involves a comprehensive pipeline encompassing dataset construction, instruction tuning, post-training quantization, and inference… See the full description on the dataset page: https://huggingface.co/datasets/AiMijie/EC-Guide.GUIMid
Breaking the Data Barrier – Building GUI Agents Through Task Generalization
🐙 GitHub | 📝 Paper | 🤗 Mid-training Data | 🤗 Post-Training Data
TODO List
Report and release the GUIMid with larger size and more domains (10th May expecetd)
1. Data Overview
AgentBoard is composed of 9 diverse tasks: 7 vision and language tasks and 4 lanuage only tasks.
The performances of different domains as mid-training data are as follows:
Domains… See the full description on the dataset page: https://huggingface.co/datasets/hkust-nlp/GUIMid.Myanmar-Tuberculosis-Guidelines-Instructions
Myanmar Tuberculosis Guidelines Instructions
A bilingual instructional dataset built to support Myanmar's ongoing fight against tuberculosis — turning life-saving guidelines into a usable resource for healthcare workers, educators, and AI researchers working with low-resource languages.
Authors: Min Si Thu, Khin Myat Noe
Abstract
Tuberculosis is still one of Myanmar's biggest public health problems. Part of the difficulty is that good, standardized TB education… See the full description on the dataset page: https://huggingface.co/datasets/jojo-ai-mst/Myanmar-Tuberculosis-Guidelines-Instructions.EC-Guide
Amazon KDDCup 2024 Team ZJU-AI4H’s Solution and Dataset (Track 2 Top 2; Track 5 Top 5)
The Amazon KDD Cup’24 competition presents a unique challenge by focusing on the application of LLMs in E-commerce across multiple tasks. Our solution for addressing Tracks 2 and 5 involves a comprehensive pipeline encompassing dataset construction, instruction tuning, post-training quantization, and inference optimization. The core of our strategy is EC-Guide specifically tailored for E-commerce… See the full description on the dataset page: https://huggingface.co/datasets/AI4H/EC-Guide.japan-math-philosophy-prompts
Japan Math Philosophy Prompts
Microdataset autoral com problemas que combinam matemática e reflexão
filosófica. Há 24 registros: oito instâncias editoriais, cada uma localizada em
pt-BR, en e ja e mantida integralmente no split train.
Todo o conteúdo foi gerado por modelo e permanece sem revisão humana. As
respostas matemáticas funcionam como gabaritos curtos; os critérios filosóficos
indicam qualidades esperadas de uma justificativa, não uma opinião obrigatória.… See the full description on the dataset page: https://huggingface.co/datasets/guicybercode/japan-math-philosophy-prompts.guiasalud
GuiaSalud
GuiaSalud is an open-answer medical question-answering dataset built from six
Spanish clinical practice guidebooks published by GuíaSalud (an organism that belongs to the Spanish Ministry of Health
/ Ministerio de Sanidad). It transforms
unstructured clinical guideline text into 919 structured question-answer-evidence
instances, each separating the question asked, the guideline panel's judgement,
and the evidence passage from the guideline that supports it.
The code… See the full description on the dataset page: https://huggingface.co/datasets/ikergf/guiasalud.BazzBasic_AI_Guide
Dataset Card — BazzBasic AI Guide
The BazzBasic AI Guide is not a JSON dataset.
The BazzBasic AI Guide is a powerful guide "produced and approved" by Claude.ai, ChatGPT and Mistral Le Chat, specifically designed to be interpreted by modern AI.
Usage
Download latest BazzBasic-AI-guide from Files and versions
Upload it to your AI's prompt or project file and it will instantly become a BazzBasic expert.
Guide Summary
This guide contains the official… See the full description on the dataset page: https://huggingface.co/datasets/EkBass/BazzBasic_AI_Guide.career-guidance-qa-dataset
Dataset Card for Career Guidance Dataset
Dataset Overview
This dataset provides career guidance information for a variety of career roles. It includes questions and answers related to career roles such as "Data Scientist," "Software Engineer," "Product Manager," and many more. The dataset covers aspects like job responsibilities, required skills, career progression, salary expectations, and work environment. It is intended for use in building chatbot applications for… See the full description on the dataset page: https://huggingface.co/datasets/Pradeep016/career-guidance-qa-dataset.nigeria-clinical-guidelines-dataset
Dataset Card: NSTG 2022 Structured Clinical Dataset
Dataset Summary
A machine-readable, schema-unified JSON dataset of 270 clinical conditions derived from the Nigeria Standard Treatment Guidelines (NSTG) 2022. Each condition is represented as a structured JSON object covering clinical presentation, investigations, treatment protocols, differential diagnoses, complications, and prevention measures.
Designed for use in clinical AI/ML pipelines, decision support… See the full description on the dataset page: https://huggingface.co/datasets/chisomrutherford/nigeria-clinical-guidelines-dataset.Sora-Ecommerce-Guide
Sora Ecommerce Guide Dataset
This dataset contains comprehensive documentation, user guides, admin operating procedures, and system flow architectures for the Sora Ecommerce platform, structured in flat instruction/input/output format matching standard fine-tuning benchmarks.
Splits
train: 9 samples
test: 2 samples
Features
instruction: System/task instruction context.
input: The prompt, question, or user query.
output: Complete step-by-step… See the full description on the dataset page: https://huggingface.co/datasets/HeinKoZin/Sora-Ecommerce-Guide.PEEP
PEEP: Prompts, Extracted Entities with Privacy
Paper: Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences
Dataset Summary
PEEP is a multilingual dataset of 15,282 real user queries from the Wildchat dataset, annotated with extracted personal information and associated with synthetic privacy profiles. It is designed to support research on privacy-preserving language models, enabling controlled evaluation of models’ adherence to… See the full description on the dataset page: https://huggingface.co/datasets/guillemram97/PEEP.career-guidance-qa-dataset
Dataset Card for Career Guidance Dataset
Dataset Overview
This dataset provides career guidance information for a variety of career roles. It includes questions and answers related to career roles such as "Data Scientist," "Software Engineer," "Product Manager," and many more. The dataset covers aspects like job responsibilities, required skills, career progression, salary expectations, and work environment. It is intended for use in building chatbot applications for… See the full description on the dataset page: https://huggingface.co/datasets/Anita018/career-guidance-qa-dataset.literesearcher-stage2-masked
LiteResearcher Stage-2 (URL-masked, train/val split)
Stage-2 RL data for training a multi-turn search agent, prepared for
verl-style GRPO training with search and
browse tools.
Provenance
Derived from simplex-ai-inc/LiteResearcher-Data
(Apache-2.0). Upstream's pipeline is SFT cold-start → Stage-1 RL → Stage-2 RL;
this repository carries only the Stage-2 portion.
Processing applied on top of upstream:
Stage-2 rows only (upstream Stage 1 is a pure local-RAG warmup… See the full description on the dataset page: https://huggingface.co/datasets/guinansu/literesearcher-stage2-masked.tabiji-travel-safety-guides
Tabiji Travel & Safety Guides
AI-curated travel data from tabiji.ai: destination profiles, day-by-day itineraries, head-to-head comparisons, safety profiles, country-level travel advisories, and city-level scam guides — sourced from Reddit, government advisories (US State Dept., UK FCDO), and editorial curation.
What's in here
Config
Records
Description
destinations
6,498
Global destination catalog: climate, currency, language, plug type, tap-water safety… See the full description on the dataset page: https://huggingface.co/datasets/tabiji/tabiji-travel-safety-guides.Guilherme34_uncensor_RUThis dataset https://huggingface.co/datasets/huihui-ai/Guilherme34_uncensor has been translated into Russian.
pcos-management-patient-qa-from-eshre-guideline
Dataset Card for pcos-management-patient-qa-from-eshre-guideline
Dataset Details
Dataset Description
pcos-management-patient-qa-from-eshre-guideline is a clinically grounded conversational dataset designed to support training and evaluation of chat-based AI models for patient education in Polycystic Ovary Syndrome (PCOS).
The dataset contains structured user–assistant conversations derived from evidence-based recommendations in the International Evidence-based… See the full description on the dataset page: https://huggingface.co/datasets/Khyatimirani/pcos-management-patient-qa-from-eshre-guideline.pcos-clinical-guideline-101
PCOS Clinical Q&A Dataset (Dr. Thaïs Aliabadi Guideline-Based)
📌 Overview
This dataset contains 500+ clinically grounded conversational Q&A pairs simulating interactions between a PCOS patient and a clinically informed assistant.
The dataset is derived from the following primary source:
Female Hormone Health, PCOS, Endometriosis, Fertility & Breast Cancer | Dr. Thaïs Aliabadi
This conversation features Dr. Thaïs Aliabadi (board-certified OB/GYN) explaining symptoms… See the full description on the dataset page: https://huggingface.co/datasets/Khyatimirani/pcos-clinical-guideline-101.3dx-users-guide-generated-errors-sampleabortion-care-guideline-qa-2022
WHO Abortion Care Guideline – Clinical & Rights Q&A Dataset
Dataset Details
Dataset Description
This dataset contains clinically grounded question–answer pairs derived strictly from the WHO Abortion Care Guideline (2022).
The dataset is designed to simulate realistic patient-style questions and evidence-based assistant responses. All answers are restricted to information explicitly stated in the WHO guideline and do not include external medical interpretation… See the full description on the dataset page: https://huggingface.co/datasets/Khyatimirani/abortion-care-guideline-qa-2022.GUI-Libra-81K-SFT-extended
GUI-Libra-81K-SFT-extended
This dataset contains:
data/images/: split image archives (*.tar.gz.part-*)
data/annotations/: original GUI-Libra JSON annotation files
new_annotation/: LaRA-GUI structured annotation files stored as raw JSON files
image_t1_feature_cache/: sharded cached image_t1 visual features for transition supervision
Compared with the original GUI-Libra dataset release, this extended variant also records:
image_t1 paths in the JSON samples when a valid next frame… See the full description on the dataset page: https://huggingface.co/datasets/seooyxx/GUI-Libra-81K-SFT-extended.career-guidance-qa-dataset
Dataset Card for Career Guidance Dataset
Dataset Overview
This dataset provides career guidance information for a variety of career roles. It includes questions and answers related to career roles such as "Data Scientist," "Software Engineer," "Product Manager," and many more. The dataset covers aspects like job responsibilities, required skills, career progression, salary expectations, and work environment. It is intended for use in building chatbot applications for… See the full description on the dataset page: https://huggingface.co/datasets/SamiaLazib/career-guidance-qa-dataset.