AlgonautsDS-features / developer_kit /stimulus_features /raw /.ipynb_checkpoints /utils-checkpoint.py
| import os | |
| import glob | |
| import h5py | |
| import numpy as np | |
| def load_stimulus_features(root_data_dir, | |
| modality='all', | |
| last_season=False): | |
| """ | |
| Load the stimulus features from the .h5 files stored for each modality | |
| (visual, audio, language). If last_season is True, only load data for | |
| Friends Season 7 (i.e., groups whose name starts with 's07'). | |
| Parameters | |
| ---------- | |
| root_data_dir : str | |
| Root data directory. | |
| modality : str, optional | |
| One of ['visual', 'audio', 'language', 'all']. Decides which | |
| modality's features to load. Default is 'all'. | |
| last_season : bool, optional | |
| If True, only load data from Friends Season 7 (i.e., group names | |
| that start with 's07'). Default is False. | |
| Returns | |
| ------- | |
| features : dict | |
| Dictionary containing the stimulus features. The keys are | |
| 'visual', 'audio', 'language'. Each key maps to another dict, | |
| keyed by group name (e.g. 's07e01a'), whose value is the loaded | |
| numpy array. | |
| E.g.: | |
| { | |
| 'visual': { 's01e01a': np.ndarray, 's07e05b': np.ndarray, ... }, | |
| 'audio': { 's01e01a': np.ndarray, 's07e05b': np.ndarray, ... }, | |
| 'language': { 's01e01a': np.ndarray, 's07e05b': np.ndarray, ... } | |
| } | |
| """ | |
| features = { | |
| "visual": {}, | |
| "audio": {}, | |
| "language": {} | |
| } | |
| # Helper function to determine if we should load a given group. | |
| # If last_season=True, only groups starting with 's07' are kept. | |
| # Otherwise, load all. | |
| def should_load(group_name): | |
| if last_season: | |
| return group_name.startswith('s07') | |
| return True | |
| # ------------------------------------------------------------------------- | |
| # 1) VISUAL FEATURES | |
| # ------------------------------------------------------------------------- | |
| if modality == 'visual' or modality == 'all': | |
| visual_dir = os.path.join( | |
| root_data_dir, | |
| 'stimulus_features', | |
| 'raw', | |
| 'visual' | |
| ) | |
| h5_files = sorted(glob.glob(os.path.join(visual_dir, '*.h5'))) | |
| for h5_file in h5_files: | |
| with h5py.File(h5_file, 'r') as f: | |
| for group_name in f.keys(): | |
| if should_load(group_name): | |
| data = f[group_name]['visual'][...] | |
| features['visual'][group_name] = data | |
| # ------------------------------------------------------------------------- | |
| # 2) AUDIO FEATURES | |
| # ------------------------------------------------------------------------- | |
| if modality == 'audio' or modality == 'all': | |
| audio_dir = os.path.join( | |
| root_data_dir, | |
| 'stimulus_features', | |
| 'raw', | |
| 'audio' | |
| ) | |
| h5_files = sorted(glob.glob(os.path.join(audio_dir, '*.h5'))) | |
| for h5_file in h5_files: | |
| with h5py.File(h5_file, 'r') as f: | |
| for group_name in f.keys(): | |
| if should_load(group_name): | |
| data = f[group_name]['audio'][...] | |
| features['audio'][group_name] = data | |
| # ------------------------------------------------------------------------- | |
| # 3) LANGUAGE FEATURES | |
| # ------------------------------------------------------------------------- | |
| if modality == 'language' or modality == 'all': | |
| language_dir = os.path.join( | |
| root_data_dir, | |
| 'stimulus_features', | |
| 'raw', | |
| 'language' | |
| ) | |
| h5_files = sorted(glob.glob(os.path.join(language_dir, '*.h5'))) | |
| for h5_file in h5_files: | |
| with h5py.File(h5_file, 'r') as f: | |
| for group_name in f.keys(): | |
| if should_load(group_name): | |
| pooler = f[group_name]['language_pooler_output'][...] | |
| last_hidden = f[group_name]['language_last_hidden_state'][...] | |
| data = np.concatenate([ | |
| pooler.reshape(pooler.shape[0], -1), | |
| last_hidden.reshape(last_hidden.shape[0], -1) | |
| ], axis=1) | |
| features['language'][group_name] = data | |
| return features |