add new files

su_id_asr.py → su_id_asr_split.py

@@ -38,7 +38,9 @@ _HOMEPAGE = "https://indonlp.github.io/nusa-catalogue/card.html?su_id_asr"
 _LICENSE = "Attribution-ShareAlike 4.0 International."
 
 _URLs = {
-    "su_id_asr": "https://www.openslr.org/resources/36/asr_sundanese_{}.zip",
+    "su_id_asr_train": "https://univindonesia-my.sharepoint.com/personal/patrick_samuel_office_ui_ac_id/_layouts/15/download.aspx?share=ESbYerhrepxPsggILmK8hZwB9ywXeZzLX7fF885Yo9F7JA",
+    "su_id_asr_dev": "https://univindonesia-my.sharepoint.com/personal/patrick_samuel_office_ui_ac_id/_layouts/15/download.aspx?share=EdmZ2KYglRBJrKacGRklGD4BEcZXqY6txIrEhj2csx3I3g",
+    "su_id_asr_test": "https://univindonesia-my.sharepoint.com/personal/patrick_samuel_office_ui_ac_id/_layouts/15/download.aspx?share=ET_Yu0vwbk9Mu-2vg68mSnkBJ-CnY1DOBjm8GVjGLKFZxQ",
 }
 
 _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
@@ -93,57 +95,88 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        base_path = {}
-        for id in range(10):
-            base_path[id] = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(id)))
-        for id in ["a", "b", "c", "d", "e", "f"]:
-            base_path[id] = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(id)))
+        base_path_train = dl_manager.download_and_extract(_URLs["su_id_asr_train"])
+        base_path_validation = dl_manager.download_and_extract(_URLs["su_id_asr_validation"])
+        base_path_test = dl_manager.download_and_extract(_URLs["su_id_asr_test"])
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": base_path},
+                gen_kwargs={
+                    "filepath": base_path_train,
+                    "split": "train"
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": base_path_validation,
+                    "split": "validation"
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": base_path_test,
+                    "split": "test"
+                },
             ),
         ]
 
-    def _generate_examples(self, filepath: Dict):
 
-        if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_train"])},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_dev"])},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_test"])},
+            )
+        ]
 
-            for key, each_filepath in filepath.items():
-
-                tsv_file = os.path.join(each_filepath, "asr_sundanese", "utt_spk_text.tsv")
-
-                with open(tsv_file, "r") as file:
-                    tsv_file = csv.reader(file, delimiter="\t")
-
-                    for line in tsv_file:
-                        audio_id, speaker_id, transcription_text = line[0], line[1], line[2]
-
-                        wav_path = os.path.join(each_filepath, "asr_sundanese", "data", "{}".format(audio_id[:2]), "{}.flac".format(audio_id))
-
-                        if os.path.exists(wav_path):
-                            if self.config.schema == "source":
-                                ex = {
-                                    "id": audio_id,
-                                    "speaker_id": speaker_id,
-                                    "path": wav_path,
-                                    "audio": wav_path,
-                                    "text": transcription_text,
-                                }
-                                yield audio_id, ex
-                            elif self.config.schema == "seacrowd_sptext":
-                                ex = {
-                                    "id": audio_id,
-                                    "speaker_id": speaker_id,
-                                    "path": wav_path,
-                                    "audio": wav_path,
-                                    "text": transcription_text,
-                                    "metadata": {
-                                        "speaker_age": None,
-                                        "speaker_gender": None,
-                                    },
-                                }
-                                yield audio_id, ex
+    def _generate_examples(self, filepath: str):
+
+        if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
 
+            tsv_file = os.path.join(filepath, "asr_sundanese", "utt_spk_text.tsv")
+
+            with open(tsv_file, "r") as file:
+                tsv_file = csv.reader(file, delimiter="\t")
+
+                for line in tsv_file:
+                    audio_id, speaker_id, transcription_text = line[0], line[1], line[2]
+
+                    wav_path = os.path.join(filepath, "asr_sundanese", "data", "{}".format(audio_id[:2]), "{}.flac".format(audio_id))
+
+                    if os.path.exists(wav_path):
+                        if self.config.schema == "source":
+                            ex = {
+                                "id": audio_id,
+                                "speaker_id": speaker_id,
+                                "path": wav_path,
+                                "audio": wav_path,
+                                "text": transcription_text,
+                            }
+                            yield audio_id, ex
+                        elif self.config.schema == "seacrowd_sptext":
+                            ex = {
+                                "id": audio_id,
+                                "speaker_id": speaker_id,
+                                "path": wav_path,
+                                "audio": wav_path,
+                                "text": transcription_text,
+                                "metadata": {
+                                    "speaker_age": None,
+                                    "speaker_gender": None,
+                                },
+                            }
+                            yield audio_id, ex
+                        
         else:
-            raise ValueError(f"Invalid config: {self.config.name}")
+            raise ValueError(f"Invalid config: {self.config.name}")