📖 Read the manuscript.
ℹ️ Gather more information on zuco-benchmark.com
💻 Look at our code for creating the baseline results
🏆 Create your own models and participate in our challenge at EvalAI
The Zurich Cognitive Language Processing Corpus (ZuCo 2.0) is a dataset combining EEG and eye-tracking recordings from subjects reading natural sentences as a resource for the investigation of the human reading process in adult English native speakers.
The benchmark consists of a cross-subject classification to distinguish between normal reading and task-specific information searching.
This repository is supposed to give you a starting point to participate in our challenge.
To run the code, follow the steps:
- Install pip
- Create a virtual environment and activate it
- Run
pip install -r requirements.txt
You can also download individual files from the OSF
To download the whole dataset, execute
bash get_data.sh
cd src
Select feature-set and other configurations in config.py.
Run the code to produce baseline predictions with the SVM and your configurations:
python benchmark_baseline.py
Use the code as a starting point for trying different models or extracting your own features.