Added additional dataset configurations.

ERRnews.py

@@ -6,31 +6,48 @@ import regex as re
 
 
 class ERRNewsConfig(datasets.BuilderConfig):
-    def __init__(self, data_url, recordings_url, **kwargs):
+    def __init__(self, data_url, features, recordings_url, **kwargs):
         super().__init__(version=datasets.Version("1.0.0"), **kwargs)
         self.data_url = data_url
         self.recordings_url = recordings_url
+        self.features = features
 
 
 class ERRNews(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.0.0")
-    #data_url = "http://bark.phon.ioc.ee/lw/korpused/err_uudised/data.zip"
+    # data_url = "http://bark.phon.ioc.ee/lw/korpused/err_uudised/data.zip"
     data_url = "https://huggingface.co/datasets/TalTechNLP/ERRnews/resolve/main/data.zip"
+    recordings_url = "http://bark.phon.ioc.ee/lw/korpused/err_uudised/recordings.tar"
+    features = ["name", "summary", "transcript", "url", "meta"]
 
     BUILDER_CONFIGS = [
         ERRNewsConfig(
-            name="sum",
+            name="et",
             data_url=data_url,
-            recordings_url=None
+            recordings_url=None,
+            features=features
+        ),
+        ERRNewsConfig(
+            name="audio",
+            data_url=data_url,
+            recordings_url=recordings_url,
+            features=features + ["audio", "recording_id"]
+        ),
+        ERRNewsConfig(
+            name="et_en",
+            data_url=data_url,
+            recordings_url=None,
+            features=features + ["en_summary", "en_transcript"]
         ),
         ERRNewsConfig(
             name="full",
             data_url=data_url,
-            recordings_url="http://bark.phon.ioc.ee/lw/korpused/err_uudised/recordings.tar"
+            recordings_url=recordings_url,
+            features=features + ["audio", "recording_id", "en_summary", "en_transcript"]
         )
     ]
 
-    DEFAULT_CONFIG_NAME = "sum"
+    DEFAULT_CONFIG_NAME = "et"
 
     def _info(self):
         description = (
@@ -58,15 +75,23 @@ class ERRNews(datasets.GeneratorBasedBuilder):
                 "name": datasets.Value("string"),
                 "summary": datasets.Value("string"),
                 "transcript": datasets.Value("string"),
-                "en_summary": datasets.Value("string"),
-                "en_transcript": datasets.Value("string"),
                 "url": datasets.Value("string"),
-                "recording_id": datasets.Value("int32"),
                 "meta": datasets.Value("string"),
             })
 
+        if self.config.name == "audio":
+            features["audio"] = datasets.features.Audio(sampling_rate=48_000)
+            features["recording_id"] = datasets.Value("int32")
+
+        if self.config.name == "et_en":
+            features["en_summary"] = datasets.Value("string")
+            features["en_transcript"] = datasets.Value("string")
+
         if self.config.name == "full":
+            features["en_summary"] = datasets.Value("string")
+            features["en_transcript"] = datasets.Value("string")
             features["audio"] = datasets.features.Audio(sampling_rate=48_000)
+            features["recording_id"] = datasets.Value("int32")
 
         return datasets.DatasetInfo(
             description=description,
@@ -112,20 +137,26 @@ class ERRNews(datasets.GeneratorBasedBuilder):
             ),
         ]
 
+    def create_dict(self, data):
+        res = dict()
+        for key in self.config.features:
+            res[key] = data[key]
+        return res
+
     def _generate_examples(self, file_path, audio_files, recordings_archive, data_archive):
         data = pd.read_csv(os.path.join(data_archive, file_path))
 
         if audio_files:
             for path, f in audio_files:
                 id = re.sub("^recordings\/", "", re.sub(".ogv$", "", path))
-                row = data.loc[data['recording_id']==int(id)]
+                row = data.loc[data['recording_id'] == int(id)]
                 if len(row) > 0:
                     result = row.to_dict('records')[0]
                     # set the audio feature and the path to the extracted file
                     path = os.path.join(recordings_archive, path) if recordings_archive else path
                     result["audio"] = {"path": path, "bytes": f.read()}
-                    yield row.index[0].item(), result
+                    yield row.index[0].item(), self.create_dict(result)
         else:
             for row in data.iterrows():
                 result = row[1].to_dict()
-                yield row[0], result
+                yield row[0], self.create_dict(result)