Preproccessing and Reproducing Analyses

Preproccessing and reproducing analyses in the paper “OneStop: A 360-Participant English Eye-Tracking Dataset with Different Reading Regimes”:

Environment Setup

Prerequisites

• Mamba or Conda

Setup

1. Clone the Repository

   Start by cloning the repository to your local machine:

   git clone https://github.com/lacclab/OneStop-Eye-Movements.git
   cd OneStop-Eye-Movements
   

2. Create a Virtual Environment

   Create a new virtual environment using Mamba (or Conda) and install the dependencies:

   mamba env create -f environment.yaml
   

3. Activate the Virtual Environment

   Activate the virtual environment:

   conda activate onestop
   

4. Download spacy model

   Download the spacy model:

   python -m spacy download en_core_web_sm
   

Preprocessing Data

The preprocess steps can be found in onestop/process_sr_report.py and compute_session_summary.py.

Running the Analyses

The analyses in the OneStop paper can be reproduced by running onestop/analyses.ipynb.