Split train,dev,test

su_id_asr_split.py

@@ -93,50 +93,79 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
         )
 
     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"].format(str(0)))},
-            ),
-        ]
+        lines = []
+        filepath = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(0)))
+        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:
+                lines.append(line)
+
+        rlen = len(lines)
+        train = lines[:8*rlen//10]
+        lines = lines[8*rlen//10:]
+        dev = lines[:rlen//10+1]
+        lines = lines[rlen//10+1:]
+        test = lines
+        
+        split_generators = []
+        split_names = {
+            "train": datasets.Split.TRAIN,
+            "dev": datasets.Split.VALIDATION,
+            "test": datasets.Split.TEST,
+        }
+        split_set = {
+            "train": train,
+            "dev": dev,
+            "test": test,
+        }
+
+        for split in ("train", "dev", "test"):
+            split_generators.append(
+                datasets.SplitGenerator(
+                    name=split_names.get(split),
+                    gen_kwargs={
+                        "tsv_file": split_set.get(split),
+                    },
+                ),
+            )
 
-    def _generate_examples(self, filepath: str):
+        return split_generators
 
-        if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
+    def _generate_examples(self, tsv_file):
 
-            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
+        if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
+            
+            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}")