Leyo commited on
Commit
95d9c2c
·
1 Parent(s): 53a825c

add train and test sets + take off comments

Browse files
Files changed (1) hide show
  1. NLVR2.py +38 -46
NLVR2.py CHANGED
@@ -39,17 +39,15 @@ _LICENSE = "CC BY 4.0"
39
 
40
  _URL_BASE = "https://raw.githubusercontent.com/lil-lab/nlvr/master/nlvr2/data/"
41
  _SPLITS = {
42
- # "train": "train.json",
43
  "validation": "dev.json",
44
- # "test1": "test1.json",
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- # "test2": "test2.json",
46
  }
47
  _JZ_IMG_FOLDER_PATH = f"{os.environ['cnw_ALL_CCFRSCRATCH']}/local_datasets/nlvr2/"
48
  _IMG_SPLITS = {
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- # "train": "train_nlvr2.tar.gz",
50
  "validation": "dev_nlvr2.tar.gz",
51
- # "test1": "test1_nlvr2.tar.gz",
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- # "test2": "test2_nlvr2.tar.gz",
53
  }
54
 
55
 
@@ -80,58 +78,52 @@ class NLVR2Dataset(datasets.GeneratorBasedBuilder):
80
  def _split_generators(self, dl_manager):
81
  urls = {
82
  "Default": {
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- # "train": os.path.join(_URL_BASE, _SPLITS["train"]),
84
  "validation": os.path.join(_URL_BASE, _SPLITS["validation"]),
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- # "test1": os.path.join(_URL_BASE, _SPLITS["test1"]),
86
- # "test2": os.path.join(_URL_BASE, _SPLITS["test2"]),
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  },
88
  }
89
  files_path = dl_manager.download_and_extract(urls)
90
 
91
  images_files = {
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- # "train": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["train"]),
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  "validation": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["validation"]),
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- # "test1": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["test1"]),
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- # "test2": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["test2"]),
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  }
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- print(f"img_path:{images_files['validation']}")
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- # train_img_path = os.path.join(dl_manager.extract(images_files["train"]), "train_nlvr2")
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- validation_img_path = os.path.join(dl_manager.download_and_extract(images_files["validation"]), "dev_nlvr2")
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- print(f"img_path2:{validation_img_path}")
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- print(f"{os.path.exists(os.path.join(validation_img_path,'dev-946-1-img0.png'))}")
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- # test1_img_path = os.path.join(dl_manager.extract(images_files["test1"]), "test1_nlvr2")
103
  return [
104
- # datasets.SplitGenerator(
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- # name=datasets.Split.TRAIN,
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- # gen_kwargs={"files_paths": [files_path[self.config.name]["train"]], "images_path": train_img_path, "split_name": "train"},
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- # ),
108
  datasets.SplitGenerator(
109
  name=datasets.Split.VALIDATION,
110
- gen_kwargs={"files_paths": [files_path[self.config.name]["validation"]], "images_path": validation_img_path, "split_name": "dev"},
 
 
 
 
111
  ),
112
- # datasets.SplitGenerator(
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- # name=datasets.Split.TEST,
114
- # gen_kwargs={"files_paths": [files_path[self.config.name]["test1"], files_path[self.config.name]["test2"]], "images_path": test1_img_path, "split_name": "test1"},
115
- # ),
116
  ]
117
 
118
- def _generate_examples(self, files_paths, images_path, split_name):
119
  idx = 0
120
- for path in files_paths:
121
- for line in open(path).readlines():
122
- ex = json.loads(line)
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- common_img_identifier = ex["identifier"].split("-")
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- left_img_identifier = f"{split_name}-{common_img_identifier[1]}-{common_img_identifier[2]}-img0.png"
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- right_img_identifier = f"{split_name}-{common_img_identifier[1]}-{common_img_identifier[2]}-img1.png"
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- left_image_path = str(os.path.join(images_path, left_img_identifier))
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- right_image_path = str(os.path.join(images_path, right_img_identifier))
128
- if os.path.exists(left_image_path) and os.path.exists(right_image_path):
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- record = {
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- "identifier": ex["identifier"],
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- "sentence": ex["sentence"],
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- "left_image": left_image_path,
133
- "right_image": right_image_path,
134
- "label": ex["label"],
135
- }
136
- idx += 1
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- yield idx, record
 
39
 
40
  _URL_BASE = "https://raw.githubusercontent.com/lil-lab/nlvr/master/nlvr2/data/"
41
  _SPLITS = {
42
+ "train": "train.json",
43
  "validation": "dev.json",
44
+ "test1": "test1.json",
 
45
  }
46
  _JZ_IMG_FOLDER_PATH = f"{os.environ['cnw_ALL_CCFRSCRATCH']}/local_datasets/nlvr2/"
47
  _IMG_SPLITS = {
48
+ "train": "train_nlvr2.tar.gz",
49
  "validation": "dev_nlvr2.tar.gz",
50
+ "test1": "test1_nlvr2.tar.gz",
 
51
  }
52
 
53
 
 
78
  def _split_generators(self, dl_manager):
79
  urls = {
80
  "Default": {
81
+ "train": os.path.join(_URL_BASE, _SPLITS["train"]),
82
  "validation": os.path.join(_URL_BASE, _SPLITS["validation"]),
83
+ "test1": os.path.join(_URL_BASE, _SPLITS["test1"]),
 
84
  },
85
  }
86
  files_path = dl_manager.download_and_extract(urls)
87
 
88
  images_files = {
89
+ "train": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["train"]),
90
  "validation": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["validation"]),
91
+ "test1": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["test1"]),
 
92
  }
93
+ train_img_path = os.path.join(dl_manager.extract(images_files["train"]), "train_nlvr2")
94
+ validation_img_path = os.path.join(dl_manager.extract(images_files["validation"]), "dev_nlvr2")
95
+ test1_img_path = os.path.join(dl_manager.extract(images_files["test1"]), "test1_nlvr2")
 
 
 
96
  return [
97
+ datasets.SplitGenerator(
98
+ name=datasets.Split.TRAIN,
99
+ gen_kwargs={"files_path": files_path[self.config.name]["train"], "images_path": train_img_path, "split_name": "train"},
100
+ ),
101
  datasets.SplitGenerator(
102
  name=datasets.Split.VALIDATION,
103
+ gen_kwargs={"files_path": files_path[self.config.name]["validation"], "images_path": validation_img_path, "split_name": "dev"},
104
+ ),
105
+ datasets.SplitGenerator(
106
+ name=datasets.Split.TEST,
107
+ gen_kwargs={"files_path": files_path[self.config.name]["test1"], "images_path": test1_img_path, "split_name": "test1"},
108
  ),
 
 
 
 
109
  ]
110
 
111
+ def _generate_examples(self, files_path, images_path, split_name):
112
  idx = 0
113
+ for line in open(files_path).readlines():
114
+ ex = json.loads(line)
115
+ common_img_identifier = ex["identifier"].split("-")
116
+ left_img_identifier = f"{split_name}-{common_img_identifier[1]}-{common_img_identifier[2]}-img0.png"
117
+ right_img_identifier = f"{split_name}-{common_img_identifier[1]}-{common_img_identifier[2]}-img1.png"
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+ left_image_path = str(os.path.join(images_path, left_img_identifier))
119
+ right_image_path = str(os.path.join(images_path, right_img_identifier))
120
+ # if os.path.exists(left_image_path) and os.path.exists(right_image_path):
121
+ record = {
122
+ "identifier": ex["identifier"],
123
+ "sentence": ex["sentence"],
124
+ "left_image": left_image_path,
125
+ "right_image": right_image_path,
126
+ "label": ex["label"],
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+ }
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+ idx += 1
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+ yield idx, record