Upload aftdb.py

aftdb.py

@@ -26,17 +26,27 @@ _NB_TAR_FIGURE = [158, 4] # train, test
 _NB_TAR_TABLE = [17, 1] # train, test
 
 
-def extract_files_tar(all_path, data_dir, nb_files):
-    paths = [
-        os.path.join(data_dir, f"train-{ii:03d}.tar")
-        for ii in range(nb_files[0])
-    ]
-    all_path['train'] += paths
-    paths = [
-        os.path.join(data_dir, f"test-{ii:03d}.tar")
-        for ii in range(nb_files[1])
-    ]
-    all_path['test'] += paths
+def extract_files_tar(all_path, data_dir, nb_files, data_files=None):
+    if data_files:
+        paths_train = [
+            os.path.join(data_dir, ii)
+            for ii in data_files['tain']
+        ]
+        paths_test = [
+            os.path.join(data_dir, ii)
+            for ii in data_files['test']
+        ]
+    else:
+        paths_train = [
+            os.path.join(data_dir, f"train-{ii:03d}.tar")
+            for ii in range(nb_files[0])
+        ]
+        paths_test = [
+            os.path.join(data_dir, f"test-{ii:03d}.tar")
+            for ii in range(nb_files[1])
+        ]
+    all_path['train'] += paths_train
+    all_path['test'] += paths_test
 
 
 class AFTConfig(datasets.BuilderConfig):
@@ -58,7 +68,7 @@ class AFT_Dataset(datasets.GeneratorBasedBuilder):
                 "Dataset containing scientific article figures associated "
                 "with their caption, summary, and article title."
             ),
-            data_dir="./{type}",
+            data_dir="./data/arxiv_dataset/{type}", # A modiféer sur Huggingface Hub
             nb_files_figure=_NB_TAR_FIGURE,
             nb_files_table=None
         ),
@@ -70,7 +80,7 @@ class AFT_Dataset(datasets.GeneratorBasedBuilder):
                 "representation of the table, including its caption, summary, "
                 "and article title."
             ),
-            data_dir="./{type}",
+            data_dir="./data/arxiv_dataset/{type}", # A modiféer sur Huggingface Hub
             nb_files_figure=None,
             nb_files_table=_NB_TAR_TABLE
         ),
@@ -82,7 +92,7 @@ class AFT_Dataset(datasets.GeneratorBasedBuilder):
                 "textual representation of the table, including its caption, "
                 "summary, and article title."
             ),
-            data_dir="./{type}",
+            data_dir="./data/arxiv_dataset/{type}", # A modiféer sur Huggingface Hub
             nb_files_figure=_NB_TAR_FIGURE,
             nb_files_table=_NB_TAR_TABLE
         )
@@ -127,14 +137,17 @@ class AFT_Dataset(datasets.GeneratorBasedBuilder):
             extract_files_tar(
                 all_path=all_path,
                 data_dir=self.config.data_dir.format(type='figure'),
-                nb_files=self.config.nb_files_figure
+                nb_files=self.config.nb_files_figure,
+                data_files=self.config.data_files
             )
         if self.config.nb_files_table:
             extract_files_tar(
                 all_path=all_path,
                 data_dir=self.config.data_dir.format(type='table'),
-                nb_files=self.config.nb_files_table
+                nb_files=self.config.nb_files_table,
+                data_files=self.config.data_files
             )
+        print(all_path)
         if dl_manager.is_streaming:
             downloaded_files = dl_manager.download(all_path)
             downloaded_files['train'] = [
@@ -164,16 +177,19 @@ class AFT_Dataset(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, filepaths, is_streaming):
         if is_streaming:
-            _json, _jpg = False, False
+            _json, _jpg, _id_json, _id_img = False, False, '', ''
             for iter_tar in filepaths:
                 for path, file_obj in iter_tar:
                     if path.endswith('.json'):
                         metadata = json.load(file_obj)
+                        _id_json = path.split('.')[0]
                         _json = True
                     if path.endswith('.jpg'):
                         img = Image.open(file_obj)
+                        _id_img = path.split('.')[0]
                         _jpg = True
                     if _json and _jpg:
+                        assert _id_json == _id_img
                         _json, _jpg = False, False
                         yield metadata['id'], {
                             'id': metadata['id'],