datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GUIOdyssey
Dataset Card for GUIOdyssey
Repository: https://github.com/OpenGVLab/GUI-Odyssey
Paper: https://arxiv.org/pdf/2406.08451
News⭐️
Latest version of GUIOdyssey released!🎉
This updated version features a larger dataset with 8,334 episodes, as well as richer semantic annotations. Compared to the previous version, we have added more fine-grained low-level instructions, image descriptions, action intentions, and context review for each step. Additionally, we provide bounding… See the full description on the dataset page: https://huggingface.co/datasets/hflqf88888/GUIOdyssey.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-Odyssey
Dataset Card for GUI Odyssey
News⭐️
A new and improved version of the GUIOdyssey dataset has been released! 🎉🎉
👉 Please use the latest version and refer to the updated README for the most up-to-date information.
We highly recommend using the new version for all training and evaluation!
Repository: https://github.com/OpenGVLab/GUI-Odyssey
Latest Version of Dataset: hflqf88888/GUIOdyssey
Paper: https://arxiv.org/pdf/2406.08451
Introduction
GUI Odyssey is… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/GUI-Odyssey.GUIOdyssey
Dataset Card for GUIOdyssey
Repository: https://github.com/OpenGVLab/GUI-Odyssey
Paper: https://arxiv.org/pdf/2406.08451
News⭐️
Latest version of GUIOdyssey released!🎉
This updated version features a larger dataset with 8,334 episodes, as well as richer semantic annotations. Compared to the previous version, we have added more fine-grained low-level instructions, image descriptions, action intentions, and context review for each step. Additionally, we provide… See the full description on the dataset page: https://huggingface.co/datasets/hsinv/GUIOdyssey.guiowl-curated-corpus
GUI-Owl Curated Corpus
This dataset publishes the full curated mobile GUI-agent supervised fine-tuning corpus in a unified norm1000 mobile_use action format. Each row pairs a mobile UI screenshot with an instruction and a normalized target tool call for training GUI agents.
The published files are the curated parquet shards as produced by the source canonicalizers. No parquet shards are merged, re-sharded, or sampled during upload.
Sources
Source
Episodes… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/guiowl-curated-corpus.GUIOdyssey
Dataset Card for GUIOdyssey
Repository: https://github.com/OpenGVLab/GUI-Odyssey
Paper: https://arxiv.org/pdf/2406.08451
News⭐️
Latest version of GUIOdyssey released!🎉
This updated version features a larger dataset with 8,334 episodes, as well as richer semantic annotations. Compared to the previous version, we have added more fine-grained low-level instructions, image descriptions, action intentions, and context review for each step. Additionally, we provide bounding… See the full description on the dataset page: https://huggingface.co/datasets/jinghang290038/GUIOdyssey.GUIOdyssey
Dataset Card for GUIOdyssey
Repository: https://github.com/OpenGVLab/GUI-Odyssey
Paper: https://arxiv.org/pdf/2406.08451
News⭐️
Latest version of GUIOdyssey released!🎉
This updated version features a larger dataset with 8,334 episodes, as well as richer semantic annotations. Compared to the previous version, we have added more fine-grained low-level instructions, image descriptions, action intentions, and context review for each step. Additionally, we provide bounding… See the full description on the dataset page: https://huggingface.co/datasets/dad3131/GUIOdyssey.gui-primitives
GUI-Primitives
A controlled minimal-pair diagnostic benchmark for the elementary spatial primitives
that GUI click instructions depend on.
Author(s): Md Abrar Jahin, Md Rizwan Parvez
Accepted at EMNLP 2026 (Main Conference).
VLM-based computer-use agents fail largely at grounding — turning a language
instruction into a click coordinate. Existing spatial-reasoning benchmarks
(What's-Up, BLINK, CV-Bench, VSR) use natural photographs, not screenshots, and none
isolate which… See the full description on the dataset page: https://huggingface.co/datasets/kagnlp/gui-primitives.GuilhermeNaturaUmana__Nature-Reason-1.2-reallysmall-details
Dataset Card for Evaluation run of GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall
Dataset automatically created during the evaluation run of model GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall
The dataset is composed of 38 configuration(s), each one corresponding 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, 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/GuilhermeNaturaUmana__Nature-Reason-1.2-reallysmall-details.apollo_english_guidelines_translated_to_dutch_with_gpt4omini
Data description
Translation of the English medical guidelines that are part of the Apollo corpus, using the LLM GPT 4o mini
Acknowledgement
The work received funding from the European Union's Horizon Europe research
and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).
For more information on the background, see Datatools4Heart Huggingface/Website/Git
apollo_english_guidelines_translated_to_dutch_with_nllb200
Data description
Translation of the English medical guidelines that are part of the Apollo corpus, using the NLLB200-600M NTM.
Acknowledgement
The work received funding from the European Union's Horizon Europe research
and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).
For more information on the background, see Datatools4Heart Huggingface/Website/Git
epfl_english_guidelines_translated_to_dutch_with_gpt4omini
Dataset Card for Epfl English Guidelines Translated To Dutch With Gpt4Omini
This dataset was created by the EPFL, and can found in it original form here
The source language: English
The original data source: Original Data Source
Data description
Translation of the English medical guidelines that are part of the Meditron corpus, using the LLM GPT 4o mini
Acknowledgement
This is part of the DT4H project with attribution [Cite the paper].
Doi and… See the full description on the dataset page: https://huggingface.co/datasets/UMCU/epfl_english_guidelines_translated_to_dutch_with_gpt4omini.apollo_english_guidelines_translated_to_dutch_with_geminiflash1.5
Data description
Translation of the English medical guidelines that are part of the Apollo corpus, using the LLM Gemini Flash 1.5
Acknowledgement
The work received funding from the European Union's Horizon Europe research
and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).
For more information on the background, see Datatools4Heart Huggingface/Website/Git
facilguide-multilingual-guides
Facil.guide Multilingual Tech Guide Templates
A structured dataset of tech guide templates in 5 languages (English, Spanish, French, Portuguese, Italian), designed for maximum accessibility and readability. Created by Facil.guide, a multilingual platform that makes technology approachable for seniors and non-technical users.
Dataset Description
Most tech documentation assumes a baseline of digital literacy that excludes millions of older adults. This dataset provides a… See the full description on the dataset page: https://huggingface.co/datasets/DropTheHQ/facilguide-multilingual-guides.apollo_english_guidelines_translated_to_dutch_with_marianmt
Data description
Apollo corpus, English guidelines translated to Dutch using MariaNMT.
Acknowledgement
The work received funding from the European Union's Horizon Europe research
and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).
For more information on the background, see Datatools4Heart Huggingface/Website/Git
adaption-parteira-br-maternal-guidance
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-parteira_br_maternal_guidance
This dataset contains conversational pairs between an AI assistant and users in remote Brazilian communities regarding maternal health concerns like nausea, breastfeeding pain, and fatigue. The assistant provides empathetic, low-risk guidance while strictly adhering to a protocol that prioritizes immediate referral to formal healthcare services for any… See the full description on the dataset page: https://huggingface.co/datasets/Fernandosr85/adaption-parteira-br-maternal-guidance.epfl_guidelines_dutch_marianmt
Dataset Card for Epfl English Guidelines Translated To Dutch With MariaNMT
This dataset was created by the EPFL, and can found in it original form here
The source language: English
The original data source: Original Data Source
The MariaNMT model used can be found: here
Data description
Translation of the English medical guidelines that are part of the Meditron corpus, using the LLM GPT 4o mini
Acknowledgement
This is part of the DT4H project with… See the full description on the dataset page: https://huggingface.co/datasets/UMCU/epfl_guidelines_dutch_marianmt.GUI-C2-4Kqwen3-4b-hard-math-mix-guided-full-rftkoen-web-agent-sft-mixes
Korean-English Web Agent SFT Mixes
브라우저 GUI 에이전트 SFT 용 한국어·영어 혼합 데이터. 언어 비율만 다르고 나머지는
동일하게 통제된 4개 구성이라, 비율이 성능에 미치는 영향을 직접 비교할 수 있다.
구성
config
ko : en
스텝
궤적
ko_only_20k
10 : 0
20,001
3,042
mix_ko_en_5050
5 : 5
20,008
2,663
mix_ko_en_2080
2 : 8
20,003
2,436
en_only_20k
0 : 10
20,009
2,274
비율은 궤적 수가 아니라 스텝 수 기준이다. 스텝 하나가 학습 샘플 하나인데
한국어 궤적은 평균 6.6스텝, 영어는 8.7스텝이라, 궤적 수로 5:5 를 맞추면 실제
gradient 기여가 5:5 가 되지 않는다. 궤적은 절대 쪼개지 않는다.
네 구성의 표본은 서로 중첩된다.… See the full description on the dataset page: https://huggingface.co/datasets/GUIAgentt/koen-web-agent-sft-mixes.qwen3-4b-instruct-qwen3-instruct-hard-problems-guided-rftSO-Python_QA-GUI_Desktop_Applications_classguinius-hard-testQuazim0t0__GuiltySpark-14B-ties-details
Dataset Card for Evaluation run of Quazim0t0/GuiltySpark-14B-ties
Dataset automatically created during the evaluation run of model Quazim0t0/GuiltySpark-14B-ties
The dataset is composed of 38 configuration(s), each one corresponding 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 always pointing to the latest results.… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Quazim0t0__GuiltySpark-14B-ties-details.Guilherme34_Reasoner-Dataset-FULL-CustomShareGPT