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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 the processing script from EEG-To-Text repository. Then we have done:
- Signal preprocessing (filtering, artifact removal)
- Text feature extraction using xlm-roberta-base
Data Fields
reader: Unique identifier for the reader (e.g., "ZKW").task: Information about the specific reading task. Task1: Normal reading (Sentiment), Task2: Normal reading (Wikipedia), Task3: Task-specific reading (Wikipedia)text_features: Extracted text features from xlm-roberta-baseword_level_EEG: Information about fixations at word levelsentence_level_EEG: EEG features extracted at the sentence level.
Usage
Loading the Dataset
from datasets import load_dataset
dataset = load_dataset("Rocinante/Zuco1_cls")
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