yonatanbitton commited on
Commit
c4b382e
1 Parent(s): f8472a9

Update vasr.py

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Files changed (1) hide show
  1. vasr.py +13 -13
vasr.py CHANGED
@@ -50,21 +50,21 @@ class Winogavil(datasets.GeneratorBasedBuilder):
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  def _info(self):
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  features = datasets.Features(
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  {
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- "A_img": [datasets.Value("string")],
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- "B_img": [datasets.Value("string")],
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- "C_img": [datasets.Value("string")],
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  "candidates": [datasets.Value("string")],
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  "candidates_images": [datasets.Value("string")],
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  "label": datasets.Value("int64"),
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- "D_img": [datasets.Value("string")],
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- "A_verb": [datasets.Value("string")],
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- "B_verb": [datasets.Value("string")],
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- "C_verb": [datasets.Value("string")],
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- "D_verb": [datasets.Value("string")],
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- "diff_item_A": [datasets.Value("string")],
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- "diff_item_A_str_first": [datasets.Value("string")],
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- "diff_item_B": [datasets.Value("string")],
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- "diff_item_B_str_first": [datasets.Value("string")],
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  }
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  )
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  return datasets.DatasetInfo(
@@ -107,7 +107,7 @@ class Winogavil(datasets.GeneratorBasedBuilder):
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  for r_idx, r in df.iterrows():
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  r_dict = r.to_dict()
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  r_dict['candidates'] = json.loads(r_dict['candidates'])
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- candidates_images = [os.path.join(images_dir, "vasr_images", f"{x}.{self.IMAGE_EXTENSION}") for x in
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  r_dict['candidates']]
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  r_dict['candidates_images'] = candidates_images
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  relevant_r_dict = {k:v for k,v in r_dict.items() if k in d_keys or k == 'candidates_images'}
 
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  def _info(self):
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  features = datasets.Features(
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  {
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+ "A_img": datasets.Value("string"),
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+ "B_img": datasets.Value("string"),
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+ "C_img": datasets.Value("string"),
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  "candidates": [datasets.Value("string")],
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  "candidates_images": [datasets.Value("string")],
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  "label": datasets.Value("int64"),
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+ "D_img": datasets.Value("string"),
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+ "A_verb": datasets.Value("string"),
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+ "B_verb": datasets.Value("string"),
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+ "C_verb": datasets.Value("string"),
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+ "D_verb": datasets.Value("string"),
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+ "diff_item_A": datasets.Value("string"),
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+ "diff_item_A_str_first": datasets.Value("string"),
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+ "diff_item_B": datasets.Value("string"),
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+ "diff_item_B_str_first": datasets.Value("string"),
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  }
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  )
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  return datasets.DatasetInfo(
 
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  for r_idx, r in df.iterrows():
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  r_dict = r.to_dict()
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  r_dict['candidates'] = json.loads(r_dict['candidates'])
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+ candidates_images = [os.path.join(images_dir, "vasr_images", x) for x in
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  r_dict['candidates']]
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  r_dict['candidates_images'] = candidates_images
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  relevant_r_dict = {k:v for k,v in r_dict.items() if k in d_keys or k == 'candidates_images'}