Upload my_stt_dataset.py

my_stt_dataset.py

@@ -3,14 +3,14 @@ import csv
 import datasets
 from datasets import Audio, BuilderConfig
 
-# Konfiguratsiya sinfi: datasetning til qisqartmasi va ma'lumotlar joylashgan papkani belgilaydi.
+# Konfiguratsiya sinfi: til qisqartmasi va ma'lumotlar joylashgan papkani belgilaydi.
 class STTConfig(BuilderConfig):
     def __init__(self, language_abbr, data_dir, **kwargs):
         """
         Args:
-            language_abbr (str): Til qisqartmasi, masalan "uz".
+            language_abbr (str): Masalan, "uz".
             data_dir (str): Dataset joylashgan asosiy papka, masalan "Dataset_STT".
-            **kwargs: Qolgan BuilderConfig parametrlar.
+            **kwargs: Qolgan parametrlar.
         """
         super().__init__(**kwargs)
         self.language_abbr = language_abbr
@@ -19,35 +19,34 @@ class STTConfig(BuilderConfig):
 # Dataset yuklash skripti
 class MySTTDataset(datasets.GeneratorBasedBuilder):
     """
-    Uzbek STT dataset yuklash skripti.
-      - Audio fayllar .tar arxiv ichida saqlanadi.
-      - Transkripsiya ma'lumotlari TSV faylda mavjud.
-      - "audio" ustuni Audio() tipida aniqlanib, HF Dataset Viewer tomonidan "play" tugmasi ko'rsatiladi.
+    Uzbek STT dataset yuklash skripti:
+      - Audio fayllar .tar arxiv ichida joylashgan.
+      - Transkripsiya ma'lumotlari mos TSV faylda.
+      - "audio" ustuni Audio() tipida aniqlangan, shuning uchun Hub Viewer "play" tugmasini ko'rsatadi.
     """
     VERSION = datasets.Version("1.0.0")
 
-    # Faqat bitta konfiguratsiya ishlatilmoqda.
     BUILDER_CONFIGS = [
         STTConfig(
             name="uz",
             version=datasets.Version("1.0.0"),
             description="Uzbek subset of the STT dataset",
             language_abbr="uz",
-            data_dir="Dataset_STT",  # Bu yerda asosiy papka nomi
+            data_dir="Dataset_STT",  # Asosiy papka nomi
         )
     ]
     DEFAULT_CONFIG_NAME = "uz"
 
     def _info(self):
         """
-        Datasetning ustunlari aniqlanadi.
-          - "audio" ustuni Audio() tipida, bu orqali fayl avtomatik dekodlanadi.
+        Dataset ustunlarini aniqlaydi.
+        "audio" ustuni Audio() tipida belgilangan – bu orqali Viewer audio faylni avtomatik dekodlaydi.
         """
         return datasets.DatasetInfo(
             description="Uzbek STT dataset: audio fayllar .tar arxivda, transcriptions esa TSV faylda saqlanadi.",
             features=datasets.Features({
                 "id": datasets.Value("string"),
-                "audio": Audio(sampling_rate=None),  # asl sampling rate saqlanadi
+                "audio": Audio(sampling_rate=None),  # Asl sampling rate saqlanadi
                 "sentence": datasets.Value("string"),
                 "duration": datasets.Value("float"),
                 "age": datasets.Value("string"),
@@ -61,15 +60,13 @@ class MySTTDataset(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """
-        Har bir split (train, test, validation) uchun:
-          - Tar arxiv va mos TSV fayllarning yo'llari aniqlanadi.
-          - dl_manager.extract() yordamida tar fayllar extract qilinadi.
+        Har bir split uchun: tar arxiv va mos TSV fayllarining yo'llari aniqlanadi,
+        va tar fayllar dl_manager.extract() orqali ochiladi.
         """
-        config = self.config  # STTConfig obyekti
-        base_dir = config.data_dir  # Masalan: "Dataset_STT"
-        lang = config.language_abbr   # Masalan: "uz"
+        config = self.config
+        base_dir = config.data_dir  # Misol: "Dataset_STT"
+        lang = config.language_abbr   # Misol: "uz"
 
-        # Audio va transkript fayllarining yo'llarini aniqlaymiz:
         train_tar = os.path.join(base_dir, "audio", lang, "train.tar")
         train_tsv = os.path.join(base_dir, "transcript", lang, "train.tsv")
 
@@ -88,7 +85,7 @@ class MySTTDataset(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "archive_dir": train_tar_extracted,  # Extract qilingan papka
+                    "archive_dir": train_tar_extracted,
                     "tsv_path": train_tsv,
                 },
             ),
@@ -110,28 +107,26 @@ class MySTTDataset(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, archive_dir, tsv_path):
         """
-        TSV faylini qatorma-qator o'qib, metadata lug'atini yaratadi va
-        extract qilingan archive papkasidan mos .mp3 faylni topadi.
-        
-        Eslatma: Audio ustunini faqat fayl yo'li sifatida uzatsangiz,
-        HF Dataset Viewer bu ustunni audio sifatida ko'rsata olmaydi.
-        Shu sababli, audio ustuni quyidagicha dictionary shaklida bo'lishi kerak:
-            {"path": mp3_path, "bytes": <audio_file_baytlari>}
+        TSV faylini qatorma-qator o'qiydi va metadata lug'atini tuzadi.
+        Keyin, archive papkasidan mos .mp3 faylni topib,
+        audio ustunini quyidagicha shakllantiradi:
+            {"path": <relative file name>, "bytes": <audio file baytlari>}
+        Bu shakl Dataset Viewer tomonidan Audio() sifatida aniqlanib, "play" tugmasini ko'rsatishga imkon beradi.
         """
         with open(tsv_path, "r", encoding="utf-8") as f:
             reader = csv.DictReader(f, delimiter="\t")
             for idx, row in enumerate(reader):
                 audio_id = row["id"]
                 mp3_file = audio_id + ".mp3"
-                mp3_path = os.path.join(archive_dir, mp3_file)
+                full_path = os.path.join(archive_dir, mp3_file)
 
-                if os.path.isfile(mp3_path):
-                    # Audio faylni baytlar shaklida o'qib olamiz
-                    with open(mp3_path, "rb") as audio_file:
+                if os.path.isfile(full_path):
+                    with open(full_path, "rb") as audio_file:
                         audio_bytes = audio_file.read()
+                    # MUHIM: "path" qiymatini lokal extract qilingan papka o'rniga, faqat fayl nomi sifatida uzatamiz
                     yield idx, {
                         "id": audio_id,
-                        "audio": {"path": mp3_path, "bytes": audio_bytes},
+                        "audio": {"path": mp3_file, "bytes": audio_bytes},
                         "sentence": row.get("sentence", ""),
                         "duration": float(row.get("duration", 0.0)),
                         "age": row.get("age", ""),
@@ -140,5 +135,4 @@ class MySTTDataset(datasets.GeneratorBasedBuilder):
                         "locale": row.get("locale", ""),
                     }
                 else:
-                    # Agar mos audio fayl topilmasa, ushbu yozuvni o'tkazib yuboramiz.
-                    continue
+                    continue