Upload dataset.py

dataset.py

@@ -7,12 +7,13 @@ import datasets
 _DESCRIPTION = """\
 Bu dataset mp3 formatdagi audio fayllar va tsv metadata fayllardan iborat.
 Audio fayllar .tar arxiv ichida saqlangan va tsv faylda fayl nomlari (masalan, H3H38EY38D8.mp3) keltirilgan.
+Katta datasetning faqat 100 tadan yozuvi olingan mini versiyasi.
 """
-_HOMEPAGE = "https://huggingface.co/datasets/Elyordev/new_dataset_stt"
+
+_HOMEPAGE = "https://huggingface.co/datasets/Elyordev/new_dataset_stt_mini"
 _LICENSE = "MIT"
 
-# Har bir split uchun .tsv va .tar fayllarning repo ichidagi joylashuvi.
-# (Sizning repo tarkibingizda train/train.tsv, train/train.tar, va hokazo bo'lsa)
+# Har bir split uchun .tsv va .tar fayllarning repo ichidagi joylashuvi (mini variantda ham xuddi shu).
 _URLS = {
     "train": {
         "tsv": "train/train.tsv",
@@ -29,18 +30,18 @@ _URLS = {
 }
 
 
-class MyDatasetSTTConfig(datasets.BuilderConfig):
+class MyMiniDatasetSTTConfig(datasets.BuilderConfig):
     def __init__(self, **kwargs):
-        super(MyDatasetSTTConfig, self).__init__(**kwargs)
+        super(MyMiniDatasetSTTConfig, self).__init__(**kwargs)
 
 
-class MyDatasetSTT(datasets.GeneratorBasedBuilder):
+class MyMiniDatasetSTT(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.0.0")
     BUILDER_CONFIGS = [
-        MyDatasetSTTConfig(
+        MyMiniDatasetSTTConfig(
             name="default",
             version=VERSION,
-            description="My new STT dataset with mp3 audios in tar archives",
+            description="Mini STT dataset with mp3 audios in tar archives (100 examples per split)",
         ),
     ]
 
@@ -66,9 +67,7 @@ class MyDatasetSTT(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """
-        Har bir split uchun .tsv va .tar fayllarni dl_manager yordamida yuklab olamiz.
-        Orqa fon’da tar-faylni to‘liq extract qilish shart emas.
-        'tar://...' URI orqali audio oqimini bevosita o‘qish mumkin.
+        Har bir split uchun .tsv va .tar fayllarni yuklab olamiz.
         """
         downloaded_files = {}
         for split in _URLS:
@@ -104,14 +103,18 @@ class MyDatasetSTT(datasets.GeneratorBasedBuilder):
         """
         Har bir .tsv fayldagi qatordan misol (example) yaratamiz.
         Audio faylga murojaat qilish uchun "tar://" sintaksisidan foydalanamiz:
-        Bu format: "tar://<tar fayl yo'li>#<tsv fayldagi path>".
+        "tar://<tar fayl yo'li>#<tsv fayldagi path>".
+        
+        Katta datasetni cheklash uchun 100 misoldan keyin break qilamiz.
         """
         with open(tsv_path, encoding="utf-8") as f:
             reader = csv.DictReader(f, delimiter="\t")
             for idx, row in enumerate(reader):
-                # MP3 fayl nomi, masalan "H3H38EY38D8.mp3"
-                mp3_file = row["path"]
+                if idx >= 100:
+                    # faqat 100 ta misol bilan to'xtatamiz
+                    break
 
+                mp3_file = row["path"]
                 # Audio fayl uchun URI: masalan, "tar://.../train.tar#H3H38EY38D8.mp3"
                 audio_ref = f"tar://{tar_path}#{mp3_file}"
 
@@ -124,5 +127,5 @@ class MyDatasetSTT(datasets.GeneratorBasedBuilder):
                     "gender": row.get("gender", ""),
                     "accents": row.get("accents", ""),
                     "locale": row.get("locale", ""),
-                    "audio": audio_ref,  # tar ichidan oqish
+                    "audio": audio_ref,
                 }