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.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.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.sutva_click2houston_com_2022-05-01_pair1_control_run2agentnet-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.clickhouse_course100k-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.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.cli-commands-explained
Overview
This dataset is a collection of 16,098 command line instructions sourced from Commandlinefu and Cheatsheets. It includes an array of commands, each with an id, title, description, date, url to source, author, votes, and flag indicating if the description is AI generated. The descriptions are primarily authored by the original contributors, for entries where descriptions were absent, they have been generated using NeuralBeagle14-7B. Out of the total entries, 10,039… See the full description on the dataset page: https://huggingface.co/datasets/b-mc2/cli-commands-explained.detector-clickbait-br-datasets
Detector Clickbait BR - Datasets
Este repositório contém os datasets utilizados para o treinamento do modelo detector-clickbait-br-model, um classificador de textos em português brasileiro capaz de identificar títulos clickbait.
📚 Descrição dos Datasets
1. detector-clickbait-br-raw.csv
Dataset original contendo os dados iniciais sem processamento.
Características:
Dados brutos coletados originalmente
Pode conter duplicatas
Pode conter valores nulos
Formato:… See the full description on the dataset page: https://huggingface.co/datasets/rodrigoaraujorosa/detector-clickbait-br-datasets.id_clickbait
This is the annotated full version of the dataset.
Dataset Summary
The 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… See the full description on the dataset page: https://huggingface.co/datasets/manandey/id_clickbait.showdown-clicks
showdown-clicks
General Agents
🤗 Dataset | GitHub
showdown is a suite of offline and online benchmarks for computer-use agents.
showdown-clicks is a collection of 5,679 left clicks of humans performing various tasks in a macOS desktop environment. It is intended to evaluate instruction-following and low-level control capabilities of computer-use agents.
As of March 2025, we are releasing a subset of the full set, showdown-clicks-dev, containing 557 clicks. All examples are… See the full description on the dataset page: https://huggingface.co/datasets/generalagents/showdown-clicks.clickbait_detection_dataset
37.870 texts in total, 17.850 NOT clickbait texts and 20.020 CLICKBAIT texts
All duplicate values were removed
Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
Split: 80/10/10
Train set label distribution: 0 ==> 14.280, 1 ==> 16.016
Validation set label distribution: 0 ==> 1.785, 1 ==> 2.002
Test set label distribution: 0 ==> 1.785, 1 ==> 2.002
The dataset was created from the… See the full description on the dataset page: https://huggingface.co/datasets/christinacdl/clickbait_detection_dataset.clickbait_title_classificationDataset introduced in Stop Clickbait: Detecting and Preventing Clickbaits in Online News Mediaby Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, and Niloy Ganguly. "Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media”. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Fransisco, US, August 2016.
Cite:… See the full description on the dataset page: https://huggingface.co/datasets/marksverdhei/clickbait_title_classification.agentnet-clicks-rescaledclickbait-ind-classification
Clickbait_ind_Classification
Deduplicated copy of kornwtp/clickbait-ind-classification.
Splits
split
rows
train
14,967
grass-clickstream-dataset
Grass Clickstream Dataset
Wynd Labs
This is the clickstream dataset produced by the team at Wynd Labs. The provided embeddings are an aggregate of clip embeddings produced by selected keyframes from the respective video. We aim that these embeddings be used for task-specific clustering and automatic segmentation.
If it clips, it ships.
clickbait_detection_dataset
37.870 texts in total, 17.850 NOT clickbait texts and 20.020 CLICKBAIT texts
All duplicate values were removed
Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
Split: 80/10/10
Train set label distribution: 0 ==> 14.280, 1 ==> 16.016
Validation set label distribution: 0 ==> 1.785, 1 ==> 2.002
Test set label distribution: 0 ==> 1.785, 1 ==> 2.002
The dataset was created from the… See the full description on the dataset page: https://huggingface.co/datasets/mayoooookha/clickbait_detection_dataset.clickbait-ml_datasetclickbait_notclickbait_dataset0 : not clickbait
1 : clickbait
Dataset cleaned from duplicates and kept only the first appearing text.
Dataset split into train and test sets using 0.2 split ratio.
Dataset split into test and validation sets using 0.2 split ratio.
Size of training set: 43.802
Size of test set: 8.760
Size of validation set: 2.191
Click-100ksutva_click2houston_com_2022-05-01_pair2_control_run4clickhouse-server-imageRec-Gaze-Click-Cursor-Eye-Tracking-Movie-Recommendation-Dataset-for-Carousel-Interfaces
RecGaze Dataset
This is the HuggingFace RecGaze dataset from the paper: 'RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces'.
Link to open-acess paper: SIGIR 2025
Dataset Description
The RecGaze dataset is the first comprehensive feedback dataset on carousels that includes eye tracking results, clicks, cursor movements, and selection explanations. The dataset comprises of interactions from 3 movie selection tasks with 40… See the full description on the dataset page: https://huggingface.co/datasets/santideleon/Rec-Gaze-Click-Cursor-Eye-Tracking-Movie-Recommendation-Dataset-for-Carousel-Interfaces.Telugu_ClickbaitDo cite the below reference for using the dataset:
@inproceedings{marreddy2021clickbait,
title={Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan and Mamidi, Radhika},
booktitle={2021 International Joint Conference on Neural Networks (IJCNN)},
pages={1--8},
year={2021},
organization={IEEE}
}
click_bate_article_train_val
Dataset Card for "click_bate_article_train_val"
More Information needed
part4-point_and_click_remoteThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "hand",
"total_episodes": 2144,
"total_frames": 633314,
"total_tasks": 17,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:2144"
},
"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/gsethia08/part4-point_and_click_remote.clickbait-spoilingData for Semeval 2023 task, clickbait spoiling