Upload dataset.py

dataset.py

@@ -0,0 +1,118 @@
+import csv
+import os
+from typing import Iterator, Tuple
+
+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.
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/Elyordev/new_dataset_stt"
+_LICENSE = "MIT"  # O'zingizga mos litsenziya
+
+# Har bir split uchun .tsv va .tar fayllarning repo ichidagi joylashuvi.
+_URLS = {
+    "train": {
+        "tsv": "train/train.tsv",
+        "tar": "train/train.tar",
+    },
+    "validation": {
+        "tsv": "validation/validation.tsv",
+        "tar": "validation/validation.tar",
+    },
+    "test": {
+        "tsv": "test/test.tsv",
+        "tar": "test/test.tar",
+    },
+}
+
+class MyDatasetSTTConfig(datasets.BuilderConfig):
+    def __init__(self, **kwargs):
+        super(MyDatasetSTTConfig, self).__init__(**kwargs)
+
+class MyDatasetSTT(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        MyDatasetSTTConfig(
+            name="default",
+            version=VERSION,
+            description="My new STT dataset with mp3 audios in tar archives",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                "id": datasets.Value("string"),
+                "path": datasets.Value("string"),      # Fayl nomi, masalan: H3H38EY38D8.mp3
+                "sentence": datasets.Value("string"),
+                "duration": datasets.Value("float"),
+                "age": datasets.Value("string"),
+                "gender": datasets.Value("string"),
+                "accents": datasets.Value("string"),
+                "locale": datasets.Value("string"),
+                # Audio feature: datasets.Audio avtomatik tarzda tar URI orqali yuklaydi
+                "audio": datasets.Audio(sampling_rate=16000),
+            }),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+        # Har bir split uchun .tsv va .tar fayllarni dl_manager yordamida yuklab olamiz.
+        downloaded_files = {}
+        for split in _URLS:
+            downloaded_files[split] = {
+                "tsv": dl_manager.download_and_extract(_URLS[split]["tsv"]),
+                "tar": dl_manager.download_and_extract(_URLS[split]["tar"]),
+            }
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "tsv_path": downloaded_files["train"]["tsv"],
+                    "tar_path": downloaded_files["train"]["tar"],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "tsv_path": downloaded_files["validation"]["tsv"],
+                    "tar_path": downloaded_files["validation"]["tar"],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "tsv_path": downloaded_files["test"]["tsv"],
+                    "tar_path": downloaded_files["test"]["tar"],
+                },
+            ),
+        ]
+
+    def _generate_examples(self, tsv_path: str, tar_path: str) -> Iterator[Tuple[int, dict]]:
+        """
+        Har bir .tsv fayldagi qatordan misol yield qilamiz.
+        Audio faylga murojaat qilish uchun "tar://" sintaksisidan foydalanamiz:
+        Bu format: "tar://<tar fayl yo'li>#<tsv fayldagi path>".
+        """
+        with open(tsv_path, encoding="utf-8") as f:
+            reader = csv.DictReader(f, delimiter="\t")
+            for idx, row in enumerate(reader):
+                # Audio fayl uchun URI: masalan, "tar://.../train.tar#H3H38EY38D8.mp3"
+                audio_ref = f"tar://{tar_path}#{row['path']}"
+                yield idx, {
+                    "id": row["id"],
+                    "path": row["path"],
+                    "sentence": row["sentence"],
+                    "duration": float(row.get("duration", 0.0)),
+                    "age": row.get("age", ""),
+                    "gender": row.get("gender", ""),
+                    "accents": row.get("accents", ""),
+                    "locale": row.get("locale", ""),
+                    "audio": audio_ref,
+                }