| import numpy as np | |
| import pickle | |
| import json | |
| import os | |
| import sys | |
| # add code/ to path so we can import our preprocessing_utils | |
| sys.path.append('code') | |
| from preprocessing_utils import preprocess_embeddings | |
| # Config | |
| DATA_PATH = '/scratch/users/s214/lab3' | |
| # the text/embeddings are the same for both subjects (same stories), but fMRI lengths | |
| # differ slightly per subject so we preprocess separately per subject | |
| SUBJECTS = ['subject2', 'subject3'] | |
| # short names used in output filenames following naming convention | |
| SUBJECT_IDS = {'subject2': 's2', 'subject3': 's3'} | |
| # where to save the processed embeddings | |
| OUTPUT_DIR = 'data/embeddings' | |
| os.makedirs(OUTPUT_DIR, exist_ok=True) | |