stimuli_features_developer_kit (#1)

- Upload precomputed raw stimili (edc94a4c01a43184cad02fc026bf77ef7d1979f1)


Co-authored-by: Cesar Kadir Torrico Villanueva <[email protected]>

developer_kit/stimulus_features/raw/.ipynb_checkpoints/utils-checkpoint.py

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+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

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