Datasets:

Modalities:
Text
Formats:
parquet
Languages:
English
ArXiv:
Libraries:
Datasets
Dask
License:
maveriq commited on
Commit
42d202a
1 Parent(s): b58ee12

fixed docbank.py and README.md

Browse files
Files changed (2) hide show
  1. README.md +5 -5
  2. docbank.py +39 -37
README.md CHANGED
@@ -17,14 +17,14 @@ dataset_info:
17
  dtype: string
18
  splits:
19
  - name: train
20
- num_bytes: 42519132443.0
21
  num_examples: 400000
22
  - name: validation
23
- num_bytes: 5314886862.0
24
  num_examples: 50000
25
  - name: test
26
- num_bytes: 5314886862.0
27
  num_examples: 50000
28
- download_size: 52786565503
29
- dataset_size: 53148906167.0
30
  ---
 
17
  dtype: string
18
  splits:
19
  - name: train
20
+ num_bytes: 80004043
21
  num_examples: 400000
22
  - name: validation
23
+ num_bytes: 9995812
24
  num_examples: 50000
25
  - name: test
26
+ num_bytes: 9995812
27
  num_examples: 50000
28
+ download_size: 0
29
+ dataset_size: 99995667
30
  ---
docbank.py CHANGED
@@ -93,13 +93,14 @@ class DocBank(datasets.GeneratorBasedBuilder):
93
  # data_dir = dl_manager.download_and_extract(urls)
94
 
95
  self.data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
 
96
 
97
  return [
98
  datasets.SplitGenerator(
99
  name=datasets.Split.TRAIN,
100
  # These kwargs will be passed to _generate_examples
101
  gen_kwargs={
102
- "filepath": os.path.join("train.jsonl"),
103
  "split": "train",
104
  },
105
  ),
@@ -107,7 +108,7 @@ class DocBank(datasets.GeneratorBasedBuilder):
107
  name=datasets.Split.VALIDATION,
108
  # These kwargs will be passed to _generate_examples
109
  gen_kwargs={
110
- "filepath": os.path.join("dev.jsonl"),
111
  "split": "dev",
112
  },
113
  ),
@@ -115,7 +116,7 @@ class DocBank(datasets.GeneratorBasedBuilder):
115
  name=datasets.Split.TEST,
116
  # These kwargs will be passed to _generate_examples
117
  gen_kwargs={
118
- "filepath": os.path.join("test.jsonl"),
119
  "split": "test"
120
  },
121
  ),
@@ -124,44 +125,45 @@ class DocBank(datasets.GeneratorBasedBuilder):
124
  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
125
  def _generate_examples(self, filepath, split):
126
 
127
- print(os.getcwd())
128
- print(os.path.dirname(os.path.abspath(__file__)))
129
-
130
  with open(filepath,'rt') as fp:
131
- index,basename = eval(fp.readline().strip())
132
-
133
- txt_file = self.data_dir+'/DocBank_500K_txt/'+basename+'.txt'
134
- img_file = self.data_dir+'/DocBank_500K_ori_img/'+basename+'_ori.jpg'
135
-
136
- words = []
137
- bboxes = []
138
- rgbs = []
139
- fontnames = []
140
- structures = []
141
-
142
- with open(txt_file, 'r', encoding='utf8') as fp:
143
- for line in fp.readlines():
144
- tts = line.split('\t')
145
 
146
- assert len(tts) == 10, f'Incomplete line in file {txt_file}'
147
-
148
- word = tts[0]
149
- bbox = list(map(int, tts[1:5]))
150
- rgb = list(map(int, tts[5:8]))
151
- fontname = tts[8]
152
- structure = tts[9].strip()
153
 
 
 
 
 
 
 
 
 
 
 
 
154
  words.append(word)
155
  bboxes.append(bbox)
156
  rgbs.append(rgb)
157
  fontnames.append(fontname)
158
- structures.append(structure)
159
-
160
- yield index, {
161
- "image": img_file,
162
- "token": words,
163
- "bounding_box": bboxes,
164
- "color": rgbs,
165
- "font": fontnames,
166
- "label": structures,
167
- }
 
 
 
93
  # data_dir = dl_manager.download_and_extract(urls)
94
 
95
  self.data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
96
+ cwd = os.path.dirname(os.path.abspath(__file__))
97
 
98
  return [
99
  datasets.SplitGenerator(
100
  name=datasets.Split.TRAIN,
101
  # These kwargs will be passed to _generate_examples
102
  gen_kwargs={
103
+ "filepath": os.path.join(cwd,"train.jsonl"),
104
  "split": "train",
105
  },
106
  ),
 
108
  name=datasets.Split.VALIDATION,
109
  # These kwargs will be passed to _generate_examples
110
  gen_kwargs={
111
+ "filepath": os.path.join(cwd,"dev.jsonl"),
112
  "split": "dev",
113
  },
114
  ),
 
116
  name=datasets.Split.TEST,
117
  # These kwargs will be passed to _generate_examples
118
  gen_kwargs={
119
+ "filepath": os.path.join(cwd,"test.jsonl"),
120
  "split": "test"
121
  },
122
  ),
 
125
  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
126
  def _generate_examples(self, filepath, split):
127
 
 
 
 
128
  with open(filepath,'rt') as fp:
129
+ for file in fp:
130
+ index,basename = eval(file)
131
+
132
+ txt_file = self.data_dir+'/DocBank_500K_txt/'+basename+'.txt'
133
+ img_file = self.data_dir+'/DocBank_500K_ori_img/'+basename+'_ori.jpg'
134
+
135
+ with open(txt_file, 'r', encoding='utf8') as fp:
 
 
 
 
 
 
 
136
 
137
+ words = []
138
+ bboxes = []
139
+ rgbs = []
140
+ fontnames = []
141
+ structures = []
 
 
142
 
143
+ for row in fp:
144
+ tts = row.split('\t')
145
+
146
+ assert len(tts) == 10, f'Incomplete line in file {txt_file}'
147
+
148
+ word = tts[0]
149
+ bbox = list(map(int, tts[1:5]))
150
+ rgb = list(map(int, tts[5:8]))
151
+ fontname = tts[8]
152
+ structure = tts[9].strip()
153
+
154
  words.append(word)
155
  bboxes.append(bbox)
156
  rgbs.append(rgb)
157
  fontnames.append(fontname)
158
+ structures.append(structure)
159
+
160
+ # index = str(index)+'_'+str(row)
161
+
162
+ yield index, {
163
+ "image": img_file,
164
+ "token": words,
165
+ "bounding_box": bboxes,
166
+ "color": rgbs,
167
+ "font": fontnames,
168
+ "label": structures,
169
+ }