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mumospee_small.py

@@ -23,8 +23,9 @@ _SPLITS = ["train", "validation", "test"]
 
 # BuilderConfig class for your dataset
 class MumospeeDatasetConfig(datasets.BuilderConfig):
-    def __init__(self, download_audio=None, language=None, tag=None, **kwargs):
+    def __init__(self, name, download_audio=None, language=None, tag=None, **kwargs):
         super().__init__(**kwargs)
+        self.name = name
         self.language = language
         self.tag = tag
         self.download_audio = download_audio
@@ -37,9 +38,9 @@ class MumospeeDataset(datasets.GeneratorBasedBuilder):
     # Define the available configurations (could be subsets like split or language)
     BUILDER_CONFIGS = [
         MumospeeDatasetConfig(
-            name="default",
             version=datasets.Version("1.0.0"),
             description=_DESCRIPTION,
+            name=None,
             download_audio=None,
             language=None,
             tag=None
@@ -90,33 +91,32 @@ class MumospeeDataset(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         csv_path = dl_manager.download_and_extract("dataset.csv")
 
-        #if self.config.split==None:
-        
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": csv_path, "split":"train", "dl_manager": dl_manager}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": csv_path, "split":"validation", "dl_manager": dl_manager}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": csv_path, "split":"test", "dl_manager": dl_manager}
-            ),
-        ]
+        if self.config.name==None:
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={"filepath": csv_path, "name":"train", "dl_manager": dl_manager}
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.VALIDATION,
+                    gen_kwargs={"filepath": csv_path, "name":"validation", "dl_manager": dl_manager}
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    gen_kwargs={"filepath": csv_path, "name":"test", "dl_manager": dl_manager}
+                ),
+            ]
 
-        # else:
-        #     return [
-        #         datasets.SplitGenerator(
-        #             name = getattr(Split, self.config.split.upper()), 
-        #             gen_kwargs={"filepath": csv_path, "split": self.config.split, "dl_manager": dl_manager}
-        #         ),
-        #     ]
+        else:
+            return [
+                datasets.SplitGenerator(
+                    name = getattr(Split, self.config.name.upper()), 
+                    gen_kwargs={"filepath": csv_path, "name": self.config.name, "dl_manager": dl_manager}
+                ),
+            ]
 
 
-    def _generate_examples(self, filepath, split, dl_manager):
+    def _generate_examples(self, filepath, name, dl_manager):
 
         data = pd.read_csv(filepath)
         
@@ -124,56 +124,53 @@ class MumospeeDataset(datasets.GeneratorBasedBuilder):
         tag = self.config.tag
         download_audio = self.config.download_audio
 
-        # all_splits=[]
-        # # If split is None, generate examples for all splits
-        # if split is None:
-        #     all_splits = _SPLITS
-        # else:
-        #     all_splits = [split]
+        all_splits=[]
+        # If split is None, generate examples for all splits
+        if name is None:
+            all_splits = _SPLITS
+        else:
+            all_splits = [name]
 
-        # print(f"Split input is {split}, so get split of {all_splits}.")
+        print(f"Split input is {name}, so get split of {all_splits}.")
 
 
         #for current_split in all_splits:
 
         language_list = self._adapt_args(language, _LANGUAGES)
         tag_list = self._adapt_args(tag, _TAGS)
-        print(f"Get data from split {split}")
+        print(f"Get data from split {name}")
         print(f"Following langauges will be loaded: {language_list}")
         print(f"Following dataset will be loaded: {tag_list}")
 
         # Filter data by split
-        data_split = data[data["split"]==split]
+        data_split = data[data["split"]==name]
 
         data_split = data_split[data_split["language"].isin(language_list)]
         data_split = data_split[data_split["tag"].isin(tag_list)]
 
         if data_split.empty:
-            print(f"No data found for split='{split}', language='{language}', tag='{tag}'. Skip this one.")
-            return
+            print(f"No data found for split='{name}', language='{language}', tag='{tag}'. Skip this one.")
+            return None
 
 
         for i, row in data_split.iterrows():
-            try:
-
-                # download the url file
-                if download_audio:
-                    external_url = row["url"]
-                    dl_manager.download(external_url)
-                yield i, {
-                    "path": row["path"],
-                    #"local_path": row["local_path"],
-                    "url": row["url"],
-                    "type": row["type"],
-                    "duration": float(row["duration"]),
-                    "language": row["language"],
-                    "transcript": row["transcript"],
-                    "tag": row["tag"],
-                    "split": row["split"],
-                    "license": row["license"]
-                }
-            except ValueError:
-                continue
+            # download the url file
+            if download_audio:
+                external_url = row["url"]
+                dl_manager.download(external_url)
+            yield i, {
+                "path": row["path"],
+                #"local_path": row["local_path"],
+                "url": row["url"],
+                "type": row["type"],
+                "duration": float(row["duration"]),
+                "language": row["language"],
+                "transcript": row["transcript"],
+                "tag": row["tag"],
+                "split": row["split"],
+                "license": row["license"]
+            }
+