datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Magicoder-OSS-Instruct-75KThis is the OSS-Instruct dataset generated by gpt-3.5-turbo-1106 developed by OpenAI. Please pay attention to OpenAI's usage policy when adopting this dataset: https://openai.com/policies/usage-policies.
pali-commentary-thai-script-siamrath-version
Multi-File CSV Dataset
คำอธิบาย
อรรถกถาบาลี อักษรไทยฉบับสยามรัฏฐ จำนวน ๔๘ เล่ม
ชุดข้อมูลนี้ประกอบด้วยไฟล์ CSV หลายไฟล์
01/010001.csv: เล่ม 1 หน้า 1
01/010002.csv: เล่ม 1 หน้า 2
...
02/020001.csv: เล่ม 2 หน้า 1
คำอธิบายของแต่ละเล่ม
เล่ม ๑: วินยฏฺกถา (สมนฺตปาสาทิกา ๑)
เล่ม ๒: วินยฏฺกถา (สมนฺตปาสาทิกา ๒)
เล่ม ๓: วินยฏฺกถา (สมนฺตปาสาทิกา ๓)
เล่ม ๔: ทีฆนิกายฏฺกถา (สุมงฺคลวิลาสินี ๑)
เล่ม ๕: ทีฆนิกายฏฺกถา (สุมงฺคลวิลาสินี ๒)
เล่ม ๖: ทีฆนิกายฏฺกถา… See the full description on the dataset page: https://huggingface.co/datasets/uisp/pali-commentary-thai-script-siamrath-version.tripitaka-siamrath
Multi-File CSV Dataset
คำอธิบาย
พระไตรปิฎกภาษาไทยฉบับสยามรัฏฐ จำนวน 45 เล่ม
ชุดข้อมูลนี้ประกอบด้วยไฟล์ CSV หลายไฟล์
01/010001.csv: เล่ม 1 หน้า 1
01/010002.csv: เล่ม 1 หน้า 2
...
02/020001.csv: เล่ม 2 หน้า 1
คำอธิบายของแต่ละเล่ม
เล่ม 1 (754 หน้า): พระวินัยปิฎก เล่ม ๑ มหาวิภังค์ ปฐมภาค
เล่ม 2 (717 หน้า): พระวินัยปิฎก เล่ม ๒ มหาวิภังค์ ทุติภาค
เล่ม 3 (328 หน้า): พระวินัยปิฎก เล่ม ๓ ภิกขุณี วิภังค์
เล่ม 4 (304 หน้า): พระวินัยปิฎก เล่ม ๔ มหาวรรคภาค ๑
เล่ม 5 (278… See the full description on the dataset page: https://huggingface.co/datasets/uisp/tripitaka-siamrath.Real-UI-Clickboxes
RUC: Real UI Clickboxes
Click carefully, even when the page is trying to trick you! 👀
Official Hugging Face release for RUC: Real UI Clickboxes, the dataset accompanying our ACL 2026 paper Don't Click That: Teaching Web Agents to Resist Deceptive Interfaces on deceptive UI understanding for web agents.
ACL Anthology: https://aclanthology.org/2026.acl-long.310/
PDF: https://aclanthology.org/2026.acl-long.310.pdf
DOI: https://doi.org/10.18653/v1/2026.acl-long.310… See the full description on the dataset page: https://huggingface.co/datasets/DUDE-Framework/Real-UI-Clickboxes.ui-navigation-corpus
User Interface (Navigation) Corpus
Overview
This dataset serves as a collection of various images of, videos and metadata of mobile (both iOS and Android) and web user interfaces as well as tags and text extractions associated to them.
Dataset also includes user interface navigation annotations and videos related to them. One of the possible use cases of this dataset is training a UI navigation agent.
Dataset Structure
The resources of this dataset… See the full description on the dataset page: https://huggingface.co/datasets/ijlewis/ui-navigation-corpus.uiuc_d3fieldThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "unknown",
"total_episodes": 192,
"total_frames": 13384,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 1,
"splits": {
"train": "0:192"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4"… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/uiuc_d3field.ui-navigation-corpus
User Interface (Navigation) Corpus
Overview
This dataset serves as a collection of various images of, videos and metadata of mobile (both iOS and Android) and web user interfaces as well as tags and text extractions associated to them.
Dataset also includes user interface navigation annotations and videos related to them. One of the possible use cases of this dataset is training a UI navigation agent.
Dataset Structure
The resources of this dataset… See the full description on the dataset page: https://huggingface.co/datasets/teleren/ui-navigation-corpus.pali-tripitaka-thai-script-siamrath-version
Multi-File CSV Dataset
คำอธิบาย
พระไตรปิฎกภาษาบาลี อักษรไทยฉบับสยามรัฏฐ จำนวน ๔๕ เล่ม
ชุดข้อมูลนี้ประกอบด้วยไฟล์ CSV หลายไฟล์
01/010001.csv: เล่ม 1 หน้า 1
01/010002.csv: เล่ม 1 หน้า 2
...
02/020001.csv: เล่ม 2 หน้า 1
...
คำอธิบายของแต่ละเล่ม
เล่ม ๑: วินย. มหาวิภงฺโค (๑)
เล่ม ๒: วินย. มหาวิภงฺโค (๒)
เล่ม ๓: วินย. ภิกฺขุนีวิภงฺโค
เล่ม ๔: วินย. มหาวคฺโค (๑)
เล่ม ๕: วินย. มหาวคฺโค (๒)
เล่ม ๖: วินย. จุลฺลวคฺโค (๑)
เล่ม ๗: วินย. จุลฺลวคฺโค (๒)
เล่ม ๘: วินย.… See the full description on the dataset page: https://huggingface.co/datasets/uisp/pali-tripitaka-thai-script-siamrath-version.uirp_drill_yolo_target_v2_20260826This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_drill_yolo_target_v2_20260826.PopMCQ
🎯 PopMCQ
Does your model pick the famous answer or the correct one?
📌 Overview
PopMCQ renders the same question six ways. The question and the correct answer never change — only how popular the three distractors are. That makes option popularity an independent variable, so an accuracy swing across S1–S6 is attributable to popularity rather than to question difficulty.
The swings are large. Under the hardest setting (S2), models pick a popular-but-wrong… See the full description on the dataset page: https://huggingface.co/datasets/DataScience-UIBK/PopMCQ.ui_survey
UI_Survey
The ui_survey dataset is a collection of datasets derived from unemployment insurance state survey. Specifically, it is derived from the Department of Labor's (DoL) Comparison of State Unemployment Insurance Laws which they publish annually. (This dataset is based off of the 2023 survey.) The dataset was designed for the benchmarking of both LLMs' retrieval and statutory reasoning ability.
The first dataset is ui_tables which aims to store the information from the DoL's… See the full description on the dataset page: https://huggingface.co/datasets/reglab/ui_survey.uirp_drill_v4_seg_single_20260827This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_drill_v4_seg_single_20260827.UIT-VSFCMagicoder-OSS-Instruct-75K-Instruction-Responsehyundai-uiwang-left-teleopThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 4640,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 2,
"splits": {
"train": "0:100"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Ngseo/hyundai-uiwang-left-teleop.agent-ui-efficiency-scores
Agent UI Efficiency Scores
Flat lab-synthetic bakeoff table for the public question: which agent UI is cheapest for a given lab task?
Author
Akash Premkumar (akashnaren)
License
Apache-2.0
Hub files
train.jsonl (63), test.jsonl (14), optional scores.jsonl (77 full)
Related
agent-ui-sft, agent-ui-human, ui-mode-router, agent-ui-mode-pairs
Scope
Rows are original lab fiction for a public agent-UI research question. Identifiers are invented.… See the full description on the dataset page: https://huggingface.co/datasets/akashnaren/agent-ui-efficiency-scores.uipc-assets
UIPC Assets
Simulation assets for libuipc -- a Modern C++20 Library of Unified Incremental Potential Contact.
This dataset collects demos, tests, and examples from IPC-related papers and provides scripts to load them as UIPC scenes via pyuipc.
Structure
All assets live under assets/. Each asset is a named subfolder:
assets/
cube_ground/ # asset name
scene.py # script: build_scene(uipc.Scene) -> adds geometry/objects
cube.msh # mesh data… See the full description on the dataset page: https://huggingface.co/datasets/MuGdxy/uipc-assets.trossen_ui_mobile_block_transfer_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_mobile",
"total_episodes": 50,
"total_frames": 27342,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/TrossenRoboticsCommunity/trossen_ui_mobile_block_transfer_v2.sludge-ui-counterfactuals
Sludge counterfactual UI corpus
This model does not determine legality.
It reports provisions that may be implicated and the screen elements that are the
factual basis for looking at them. Whether a provision is actually engaged depends on facts
no UI tree contains — the purposes of processing, the legal basis relied on, the audience, the
rest of the journey, prior consent, sector rules — and is an assessment for a qualified human.
It has no feature that labels a… See the full description on the dataset page: https://huggingface.co/datasets/NagaYu/sludge-ui-counterfactuals.uirp_drill_v4_3task_20260827This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_drill_v4_3task_20260827.trossen_ui_mobile_block_transfer_v3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_mobile",
"total_episodes": 50,
"total_frames": 27342,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/TrossenRoboticsCommunity/trossen_ui_mobile_block_transfer_v3.uirp_drill_task_20260821_173606_filteredThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_drill_task_20260821_173606_filtered.uirp_drill_task_v4_20260827_162316_20260827_162326This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_drill_task_v4_20260827_162316_20260827_162326.uirp_drill_task_20260827_164058_20260827_164108This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_drill_task_20260827_164058_20260827_164108.ui-design-audit-dataset
UI Design Audit Screenshot Benchmark v2.1
A reproducible synthetic benchmark of 3,000 mobile and web UI screenshots labeled across 12 design-risk categories.
Splits
train: 2,400
validation: 300
test: 300
Labels
small_touch_targets
low_contrast
action_overload
navigation_overload
form_friction
content_density
responsive_risk
modal_overuse
deep_scrolling
weak_hierarchy
interaction_overload
mobile_web_mismatch
Data creation
Every… See the full description on the dataset page: https://huggingface.co/datasets/newazhala/ui-design-audit-dataset.UINAUILuirp_dataset_20260820_180345This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_dataset_20260820_180345.uirp_drill_task_20260821_173606This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_drill_task_20260821_173606.uirp_drill_task_v4_20260827_163444_20260827_163454This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_drill_task_v4_20260827_163444_20260827_163454.uirp_drill_task_v3_20260827_161046_20260827_161055This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 25,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/hugging-son/uirp_drill_task_v3_20260827_161046_20260827_161055.