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bn_audio.py

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+import csv
+import datasets
+from datasets import DownloadManager
+import os
+
+class JPDataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+    dl_manager = DownloadManager()
+
+    def _info(self): 
+        return datasets.DatasetInfo(
+            features=datasets.Features(
+                {
+                    "file_name": datasets.Value("string"),
+                    "audio": datasets.Audio(sampling_rate=16_000),
+                    "sentence": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=("audio", "sentence"),
+        )
+    def _split_generators(self, dl_manager):
+        train_csv_path = dl_manager.download_and_extract("train.csv")
+        valid_csv_path = dl_manager.download_and_extract("valid.csv")
+        train_archive_path = dl_manager.download_and_extract("data/train.tar.gz")
+        valid_archive_path = dl_manager.download_and_extract("data/valid.tar.gz")
+        print(train_archive_path)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "csv_path": train_csv_path,
+                    "archive_path": train_archive_path
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "csv_path": valid_csv_path,
+                    "archive_path": valid_archive_path
+                },
+            ),
+        ]
+
+
+
+    def _generate_examples(self, csv_path, archive_path):
+        examples = {}
+        with open(csv_path, encoding="utf-8") as f:
+            reader = csv.DictReader(f)
+            for row in reader:
+                # Replace backslashes with forward slashes in file paths
+                file_name_with_prefix = row['file_name'].replace('\\', '/')
+                examples[file_name_with_prefix] = {
+                    "file_name": file_name_with_prefix,
+                    "sentence": row['transcription'],
+                }
+        print("Keys in examples:", examples.keys())
+        for root, dirs, files in os.walk(archive_path):
+            for file in files:
+                relative_file_path = os.path.relpath(os.path.join(root, file), archive_path).replace('\\', '/')
+                print("Processing path:", relative_file_path)  
+                if relative_file_path in examples:
+                    # Open and read the file
+                    with open(os.path.join(root, file), 'rb') as f:
+                        audio_data = f.read()
+
+                    example = examples[relative_file_path]
+                    example['audio'] = {"bytes": audio_data, "sampling_rate": 16_000}
+                    yield relative_file_path, example
+                else:
+                    print("File path not in examples:", relative_file_path)

data/train.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:28520e58e120c8739cac7a5fc0f8051e977d49ca6398d130e10f1cc151a6c0e1
+size 573491

data/valid.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1a4d83799c355b3a322e5bccc23e1f94641f46eac2418e1cd07a09c31932a35f
+size 573488

train.csv

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+file_name,transcription
+train\audio1.wav,শুভ সকাল আজকে আমি কৃত্রিম বুদ্ধিমত্তার বাংলা ভাষায় প্রয়োগ নিয়ে কথা বলতে চাই ধন্যবাদ সবাইকে

valid.csv

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+file_name,transcription
+valid\audio1.wav,শুভ সকাল আজকে আমি কৃত্রিম বুদ্ধিমত্তার বাংলা ভাষায় প্রয়োগ নিয়ে কথা বলতে চাই ধন্যবাদ সবাইকে