datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CLIcK
CLIcK 🇰🇷🧠
A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean
Introduction 🎉
CLIcK (Cultural and Linguistic Intelligence in Korean) is a comprehensive dataset designed to evaluate cultural and linguistic intelligence in the context of Korean language models. In an era where diverse language models are continually emerging, there is a pressing need for robust evaluation datasets, especially for non-English languages like Korean. CLIcK… See the full description on the dataset page: https://huggingface.co/datasets/EunsuKim/CLIcK.cobotmagic_Sim_click_bellReal-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.RoboTwin_click_bell_randomizedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "aloha",
"total_episodes": 500,
"total_frames": 36818,
"total_tasks": 390,
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"data_files_size_in_mb": 100,
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"fps": 15,
"splits": {
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"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/suz22/RoboTwin_click_bell_randomized.Airbot_MMK2_click_pen
Airbot_MMK2_click_pen
Dataset Description
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Task Preview
View Video Directly
Overview
Total Episodes: 100
Total Frames: 30984
FPS: 30
Dataset Size: 1.12 GB
Robot Name: Airbot_MMK2
End-Effector Type: five_finger_gripper
Teleoperation Type: Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Airbot_MMK2_click_pen.RoboTwin_click_alarmclock_randomizedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_frames": 40661,
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"fps": 15,
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"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/suz22/RoboTwin_click_alarmclock_randomized.ClickTargetPreprocessThreeCamerasSetUpOneRedTriangleMultiplePieceThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "so101_follower",
"total_episodes": 150,
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"fps": 30,
"splits": {
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"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/Greynar/ClickTargetPreprocessThreeCamerasSetUpOneRedTriangleMultiplePiece.ClickTargetPreprocessThreeCamerasSetUpOneThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_episodes": 79,
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"splits": {
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"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/Greynar/ClickTargetPreprocessThreeCamerasSetUpOne.Click-100k
🖱️ Click-100k Dataset
🍨 Blog Post / Codebase
Click-100k is a high-quality grounding dataset used to train 🍨 Gelato-30B-A3B a state-of-the-art grounding model for GUI computer-use tasks. The dataset pairs computer screen frames with low-level GUI commands and click coordinates, enabling models to learn precise UI element interaction. Click-100k was built by filtering and unifying multiple public datasets and enriching them with professional application data.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations/Click-100k.ClickTargetPreprocessThreeCamerasSetUpOneMultiplePiecessutva_click2houston_com_2022-05-01_pair1_control_run2ClickTargetPreprocessCleanThreeCamerasThis dataset was created using LeRobot.
Dataset Structure
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"total_episodes": 80,
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"fps": 30,
"splits": {
"train": "0:80"
},
"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/Greynar/ClickTargetPreprocessCleanThreeCameras.Click-and-Traverse
Click-and-Traverse: Collision-Free Humanoid Traversal in Cluttered Indoor Scenes
Project Page |
Code |
Paper |
Video Demo|
Models|
Datasets
The system is designed for general humanoid traversal tasks requiring coordinated whole-body motion planning and collision avoidance.
Key Capabilities
Full-Spatial Constraints
Intricate Geometry Handling
Indoor environments impose constraints at multiple spatial levels. Obstacles… See the full description on the dataset page: https://huggingface.co/datasets/Axian12138/Click-and-Traverse.agentnet-clicks
agentnet-clicks
AgentNet click grounding dataset prepared with agentnet-parse.py.
Generation Details
Script: agentnet-parse.py
Datasets: ubuntu, winmac
Total samples: 109855
Shard size: 1000
Prompt format: gta1
Output format: coordinates
Image resize limit: 4.0 MP
Max actions per trajectory: 5
Sample Entry
Dataset: ubuntu
Prompt:
Click on the GIMP application icon in the left taskbar to launch the image editing software.
Assistant: (35,554)
Bounding… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/agentnet-clicks.cobotmagic_Real_click_bell
CobotMagic Real Dataset: click_bell
Generated by convert_piper_hdf5_to_lerobot.py.
RoboSynChallenge Alignment
Task dir: click_bell
Environment ID: ClickBell
Real dataset: RoboSynChallenge/cobotmagic_Real_click_bell
Aligned simulation dataset: click_bell/cobotmagic_Sim_click_the_bell_000
Prompt: Click the bell
Summary
Robot type: aloha
FPS: 10
Sampling mode: full
Leading group: slave_cam_high
Crop strategy: LATEST_START
Default leading tolerance:… See the full description on the dataset page: https://huggingface.co/datasets/RoboSynChallenge/cobotmagic_Real_click_bell.look-before-you-click
Look Before You Click: Trajectory Dataset
Raw trajectory data from "Look Before You Click: Sparse Critical-Action Review for Computer-Use Agent Control" (Chew, Wang, Akunuri; Apart Research, 2026).
Overview
This dataset contains 157 complete agent trajectories from evaluating a sparse critical-action review protocol for computer-use agents (CUAs). The protocol intercepts irreversible GUI actions before execution and routes them to a trusted reviewer with live screenshot… See the full description on the dataset page: https://huggingface.co/datasets/ash256/look-before-you-click.clickhouse_courseClickTargetPreprocessTestThreeCameraThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_episodes": 120,
"total_frames": 37577,
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"fps": 30,
"splits": {
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"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/Greynar/ClickTargetPreprocessTestThreeCamera.ClickTargetPreprocessTestTwoCameraThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_episodes": 80,
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"fps": 30,
"splits": {
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"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/Greynar/ClickTargetPreprocessTestTwoCamera.ad-display_click-data_taobao.comeval_act_ClickTargetPreprocessThreeTwoCameraThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_episodes": 19,
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"fps": 30,
"splits": {
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"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/Greynar/eval_act_ClickTargetPreprocessThreeTwoCamera.eval_act_ClickTargetPreprocessThreeCamerasSetUpOneThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_episodes": 15,
"total_frames": 5165,
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"fps": 30,
"splits": {
"train": "0:15"
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"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/Greynar/eval_act_ClickTargetPreprocessThreeCamerasSetUpOne.eval_act_ClickTargetPreprocessThreeTwoCamera_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "so101_follower",
"total_episodes": 15,
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"splits": {
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"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/Greynar/eval_act_ClickTargetPreprocessThreeTwoCamera_2.100k-click-5k-refusal-conf-prompt100k-click-5k-refusal-no-conf-promptclickbait_news_bg
Dataset Card for Clickbait/Fake News in Bulgarian
Dataset Summary
This is a corpus of Bulgarian news over a fixed period of time, whose factuality had been questioned.
The news come from 377 different sources from various domains, including politics, interesting facts and tips&tricks.
The dataset was prepared for the Hack the
Fake News hackathon. It was provided by the
Bulgarian Association of PR Agencies and is
available in Gitlab.
The corpus was automatically… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/clickbait_news_bg.RoboTwin_click_alarmclockThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"codebase_version": "v3.0",
"robot_type": "aloha",
"total_episodes": 50,
"total_frames": 4088,
"total_tasks": 1,
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"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"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/suz22/RoboTwin_click_alarmclock.id_clickbaitThe CLICK-ID dataset is a collection of Indonesian news headlines that was collected from 12 local online news
publishers; detikNews, Fimela, Kapanlagi, Kompas, Liputan6, Okezone, Posmetro-Medan, Republika, Sindonews, Tempo,
Tribunnews, and Wowkeren. This dataset is comprised of mainly two parts; (i) 46,119 raw article data, and (ii)
15,000 clickbait annotated sample headlines. Annotation was conducted with 3 annotator examining each headline.
Judgment were based only on the headline. The majority then is considered as the ground truth. In the annotated
sample, our annotation shows 6,290 clickbait and 8,710 non-clickbait.eval_act_ClickTargetPreprocessTestTwoCameraThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "so101_follower",
"total_episodes": 11,
"total_frames": 5070,
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"fps": 30,
"splits": {
"train": "0:11"
},
"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/Greynar/eval_act_ClickTargetPreprocessTestTwoCamera.fitllm-fit-census
Local LLM Fit Census v1 — 2026-09-13
10,530 verdicts: 30 models × 93 devices (36 GPUs + 57 Mac configs) × per-platform quant tiers.
Each row is generated by fitllm-engine from architecture inputs pinned to official config.json files. Runtime and OS reserves remain documented estimates. Reproduce it yourself: npm run census.
Assumptions: context = min(8K, model max) · KV cache F16 · platform reserve/headroom per engine. Interactive per-combo pages: fitllm.run/can-i-run.… See the full description on the dataset page: https://huggingface.co/datasets/click6067/fitllm-fit-census.