Dataset

This dataset was created by omnia nabil gharieb

Contents

We present a new machine learning benchmark for reading task classification with the goal of advancing EEG and eye-tracking research at the intersection between computational language processing and cognitive neuroscience. The benchmark task consists of a cross-subject classification to distinguish between two reading paradigms: normal reading and task-specific reading. The data for the benchmark is based on the Zurich Cognitive Language Processing Corpus (ZuCo 2.0), which provides simultaneous eye-tracking and EEG signals from natural reading of English sentences. The training dataset is publicly available, and we present a newly recorded hidden testset. We provide multiple solid baseline methods for this task and discuss future improvements. We release our code and provide an easy-to-use interface to evaluate new approaches with an accompanying public leaderboard: www.zuco-benchmark.com.

Dataset Card for zuco1_cls

  Dataset Description





  Overview

This dataset is a processed version of the ZuCo 1.0 dataset (original dataset), which contains simultaneous eye-tracking and EEG recordings from subjects reading English sentences.

  Supported Tasks

Reading Task Classification Reader Classification

  Languages

English

  Dataset Structure





  Data Processing

The raw MAT files were firstly converted to pickle format using… See the full description on the dataset page: https://huggingface.co/datasets/Rocinante/Zuco1_cls.

Attention This is no longer the most recent release of BLS data! An updated and extended and extended dataset for BLS Waves 1 through 9 is available in this same repository.*** Includes a single integrated dataset with data from the eight waves of the Brazilian Legislative Surveys. Data are provided in the Dataverse subsettable format and also as a .RData file. Estimates of positions of parties and replication materials for different published pieces using BLS8 data are available in separate Dataverse studies, linked in the "Related Materials" section of the metadata. Replication materials for studies using the previous release of the data are linked to the BLS7 release, which is also available in this same Dataverse.