jmc255 commited on
Commit
986dc0b
1 Parent(s): ae658d3
Files changed (1) hide show
  1. aphantasia_drawing_dataset.py +5 -4
aphantasia_drawing_dataset.py CHANGED
@@ -39,6 +39,7 @@ Original file is located at
39
  #import csv
40
  import base64
41
  from PIL import Image
 
42
  import io
43
  import json
44
  import os
@@ -106,7 +107,7 @@ class AphantasiaDrawingDataset(datasets.GeneratorBasedBuilder):
106
  "treatment": datasets.Value("string"),#datasets.ClassLabel(names=["aphantasia", "control"]),
107
  "demographics": {
108
  "country": datasets.Value("string"),
109
- "age": datasets.Value("float"),
110
  "gender": datasets.Value("string"),
111
  "occupation": datasets.Value("string"),
112
  "art_ability": datasets.Value("int32"),
@@ -168,21 +169,21 @@ class AphantasiaDrawingDataset(datasets.GeneratorBasedBuilder):
168
  img = Image.open(io.BytesIO(img_byt))
169
  subjects_data[sub]["drawings"][room]["perception"] = img
170
  else:
171
- subjects_data[sub]["drawings"][room]["perception"] = None
172
 
173
  if subjects_data[sub]["drawings"][room]["memory"] != "":
174
  img_byt = base64.b64decode(subjects_data[sub]["drawings"][room]["memory"])
175
  img = Image.open(io.BytesIO(img_byt))
176
  subjects_data[sub]["drawings"][room]["memory"] = img
177
  else:
178
- subjects_data[sub]["drawings"][room]["memory"] = None
179
 
180
  for room in subjects_data[sub]["image"].keys():
181
  img_byt = base64.b64decode(subjects_data[sub]["image"][room])
182
  img = Image.open(io.BytesIO(img_byt))
183
  subjects_data[sub]["image"][room] = img.resize((500,500))
184
  idx += 1
185
-
186
  yield idx-1, {
187
  "subject_id": subjects_data[sub]["subject_id"],
188
  "treatment": subjects_data[sub]["treatment"],
 
39
  #import csv
40
  import base64
41
  from PIL import Image
42
+ import numpy as np
43
  import io
44
  import json
45
  import os
 
107
  "treatment": datasets.Value("string"),#datasets.ClassLabel(names=["aphantasia", "control"]),
108
  "demographics": {
109
  "country": datasets.Value("string"),
110
+ "age": datasets.Value("int32"),
111
  "gender": datasets.Value("string"),
112
  "occupation": datasets.Value("string"),
113
  "art_ability": datasets.Value("int32"),
 
169
  img = Image.open(io.BytesIO(img_byt))
170
  subjects_data[sub]["drawings"][room]["perception"] = img
171
  else:
172
+ subjects_data[sub]["drawings"][room]["perception"] = np.nan
173
 
174
  if subjects_data[sub]["drawings"][room]["memory"] != "":
175
  img_byt = base64.b64decode(subjects_data[sub]["drawings"][room]["memory"])
176
  img = Image.open(io.BytesIO(img_byt))
177
  subjects_data[sub]["drawings"][room]["memory"] = img
178
  else:
179
+ subjects_data[sub]["drawings"][room]["memory"] = np.nan
180
 
181
  for room in subjects_data[sub]["image"].keys():
182
  img_byt = base64.b64decode(subjects_data[sub]["image"][room])
183
  img = Image.open(io.BytesIO(img_byt))
184
  subjects_data[sub]["image"][room] = img.resize((500,500))
185
  idx += 1
186
+ age = int(subjects_data[sub]["demographics"]["age"]) if subjects_data[sub]["demographics"]["age"] else np.nan
187
  yield idx-1, {
188
  "subject_id": subjects_data[sub]["subject_id"],
189
  "treatment": subjects_data[sub]["treatment"],