datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.Rec-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}
}
clickbait-IDWe do not maintain this repository further. For accessing the most recent Indonesian Fake News dataset that we created, please visit BRIN's dataverse: https://data.brin.go.id/dataset.xhtml?persistentId=hdl:20.500.12690/RIN/7QBRKQ
This dataset is preprocessed from paper "CLICK-ID: A novel dataset for Indonesian clickbait headlines".
Historic_Data