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ParsiGoo.py

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+import os
+import datasets
+
+class ParsiGoo(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "text": datasets.Value("string"),
+                "audio_file": datasets.Value("string"),
+                "speaker_name": datasets.Value("string"),
+                "root_path": datasets.Value("string")
+            }
+        )
+        return datasets.DatasetInfo(
+            description="ParsiGoo dataset",
+            features=features,
+            homepage="https://example.com",
+            citation="",
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = "datasets"#dl_manager.download_and_extract("https://example.com/datasets/parsigoo.zip")
+        splits = []
+        for speaker_name in os.listdir(data_dir):
+            if not os.path.isdir(os.path.join(data_dir, speaker_name)):
+                continue
+            root_path = os.path.join(data_dir, speaker_name)
+            meta_file = os.path.join(root_path, "metadata.csv")
+            splits.append(
+                datasets.SplitGenerator(
+                    name=speaker_name,
+                    gen_kwargs={
+                        "txt_file": meta_file,
+                        "speaker_name": speaker_name,
+                        "root_path": root_path
+                    }
+                )
+            )
+        return splits
+
+    def _generate_examples(self, txt_file, speaker_name, root_path):
+        with open(txt_file, "r", encoding="utf-8") as ttf:
+            for i, line in enumerate(ttf):
+                cols = line.split("|")
+                wav_file = cols[1].strip()
+                text = cols[0].strip()
+                wav_file = os.path.join(root_path, "wavs", wav_file)
+                yield i, {"text": text, "audio_file": wav_file, "speaker_name": speaker_name, "root_path": root_path}