Update my_dataset.py
Browse files- my_dataset.py +102 -102
my_dataset.py
CHANGED
|
@@ -1,123 +1,123 @@
|
|
| 1 |
-
import os
|
| 2 |
-
import csv
|
| 3 |
-
import datasets
|
| 4 |
-
from tqdm import tqdm # لإظهار تقدم القراءة في ملفات metadata
|
| 5 |
|
| 6 |
-
_DESCRIPTION = "A speech dataset designed for automatic speech recognition (ASR), structured like Mozilla Common Voice."
|
| 7 |
-
_CITATION = "No citation available yet."
|
| 8 |
|
| 9 |
-
class MyDatasetConfig(datasets.BuilderConfig):
|
| 10 |
-
|
| 11 |
-
|
| 12 |
|
| 13 |
-
class MyDataset(datasets.GeneratorBasedBuilder):
|
| 14 |
-
|
| 15 |
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
|
| 40 |
-
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
|
| 47 |
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
|
| 55 |
-
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
|
| 59 |
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
| 63 |
|
| 64 |
-
|
| 65 |
-
|
| 66 |
-
|
| 67 |
|
| 68 |
-
|
| 69 |
-
|
| 70 |
-
|
| 71 |
-
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
|
| 78 |
|
| 79 |
|
| 80 |
-
|
| 81 |
-
|
| 82 |
-
|
| 83 |
|
| 84 |
-
|
| 85 |
-
|
| 86 |
-
|
| 87 |
|
| 88 |
-
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
|
| 94 |
|
| 95 |
-
|
| 96 |
-
|
| 97 |
-
|
| 98 |
|
| 99 |
-
|
| 100 |
-
|
| 101 |
-
|
| 102 |
-
|
| 103 |
-
|
| 104 |
-
|
| 105 |
|
| 106 |
-
|
| 107 |
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
|
| 111 |
-
|
| 112 |
-
|
| 113 |
|
| 114 |
-
|
| 115 |
-
|
| 116 |
-
|
| 117 |
|
| 118 |
-
|
| 119 |
-
|
| 120 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
|
|
|
| 1 |
+
# import os
|
| 2 |
+
# import csv
|
| 3 |
+
# import datasets
|
| 4 |
+
# from tqdm import tqdm # لإظهار تقدم القراءة في ملفات metadata
|
| 5 |
|
| 6 |
+
# _DESCRIPTION = "A speech dataset designed for automatic speech recognition (ASR), structured like Mozilla Common Voice."
|
| 7 |
+
# _CITATION = "No citation available yet."
|
| 8 |
|
| 9 |
+
# class MyDatasetConfig(datasets.BuilderConfig):
|
| 10 |
+
# def __init__(self, **kwargs):
|
| 11 |
+
# super(MyDatasetConfig, self).__init__(**kwargs)
|
| 12 |
|
| 13 |
+
# class MyDataset(datasets.GeneratorBasedBuilder):
|
| 14 |
+
# DEFAULT_WRITER_BATCH_SIZE = 1000 # مثل Common Voice
|
| 15 |
|
| 16 |
+
# BUILDER_CONFIGS = [
|
| 17 |
+
# MyDatasetConfig(
|
| 18 |
+
# name="default",
|
| 19 |
+
# version=datasets.Version("1.0.0"),
|
| 20 |
+
# description=_DESCRIPTION,
|
| 21 |
+
# ),
|
| 22 |
+
# ]
|
| 23 |
|
| 24 |
+
# def _info(self):
|
| 25 |
+
# features = datasets.Features({
|
| 26 |
+
# "client_id": datasets.Value("string"),
|
| 27 |
+
# "path": datasets.Value("string"),
|
| 28 |
+
# "audio": datasets.features.Audio(sampling_rate=16000),
|
| 29 |
+
# "text": datasets.Value("string"),
|
| 30 |
+
# "up_votes": datasets.Value("int64"),
|
| 31 |
+
# "down_votes": datasets.Value("int64"),
|
| 32 |
+
# "age": datasets.Value("string"),
|
| 33 |
+
# "gender": datasets.Value("string"),
|
| 34 |
+
# "accent": datasets.Value("string"),
|
| 35 |
+
# "locale": datasets.Value("string"),
|
| 36 |
+
# "segment": datasets.Value("string"),
|
| 37 |
+
# "variant": datasets.Value("string"),
|
| 38 |
+
# })
|
| 39 |
|
| 40 |
+
# return datasets.DatasetInfo(
|
| 41 |
+
# description=_DESCRIPTION,
|
| 42 |
+
# features=features,
|
| 43 |
+
# supervised_keys=None,
|
| 44 |
+
# citation=_CITATION,
|
| 45 |
+
# version=self.config.version,
|
| 46 |
+
# )
|
| 47 |
|
| 48 |
+
# def _split_generators(self, dl_manager):
|
| 49 |
+
# urls = {
|
| 50 |
+
# "train_audio": "https://huggingface.co/datasets/Mohammadawad1/my-dataset-test-v2/resolve/main/data/train_audio.tar",
|
| 51 |
+
# "train_metadata": "https://huggingface.co/datasets/Mohammadawad1/my-dataset-test-v2/resolve/main/data/train_metadata.csv",
|
| 52 |
+
# "validation_audio":"https://huggingface.co/datasets/Mohammadawad1/my-dataset-test-v2/resolve/main/data/validation_audio.tar",
|
| 53 |
+
# "validation_metadata": "https://huggingface.co/datasets/Mohammadawad1/my-dataset-test-v2/resolve/main/data/validation_metadata.csv",
|
| 54 |
+
# "test_audio":"https://huggingface.co/datasets/Mohammadawad1/my-dataset-test-v2/resolve/main/data/test_audio.tar",
|
| 55 |
+
# "test_metadata": "https://huggingface.co/datasets/Mohammadawad1/my-dataset-test-v2/resolve/main/data/test_metadata.csv",
|
| 56 |
+
# }
|
| 57 |
+
# splits = ["train", "validation", "test"]
|
| 58 |
+
# split_generators = []
|
| 59 |
|
| 60 |
+
# for split in splits:
|
| 61 |
+
# audio_url = urls.get(f"{split}_audio")
|
| 62 |
+
# metadata_url = urls.get(f"{split}_metadata")
|
| 63 |
|
| 64 |
+
# if audio_url and metadata_url:
|
| 65 |
+
# audio_tar_path = dl_manager.download(audio_url)
|
| 66 |
+
# metadata_path = dl_manager.download(metadata_url)
|
| 67 |
|
| 68 |
+
# split_generators.append(
|
| 69 |
+
# datasets.SplitGenerator(
|
| 70 |
+
# name=getattr(datasets.Split, split.upper()),
|
| 71 |
+
# gen_kwargs={
|
| 72 |
+
# "archives": dl_manager.iter_archive(audio_tar_path),
|
| 73 |
+
# "metadata_path": metadata_path,
|
| 74 |
+
# },
|
| 75 |
+
# )
|
| 76 |
+
# )
|
| 77 |
+
# return split_generators
|
| 78 |
|
| 79 |
|
| 80 |
+
# def _generate_examples(self, archives, metadata_path):
|
| 81 |
+
# metadata = {}
|
| 82 |
+
# data_fields = list(self._info().features.keys())
|
| 83 |
|
| 84 |
+
# with open(metadata_path, encoding="utf-8-sig") as f:
|
| 85 |
+
# reader = csv.DictReader(f, delimiter=",", quoting=csv.QUOTE_NONE)
|
| 86 |
+
# reader.fieldnames = [name.strip().replace('"', '') for name in reader.fieldnames]
|
| 87 |
|
| 88 |
+
# for row in tqdm(reader, desc="Loading metadata..."):
|
| 89 |
+
# row = {k.replace('"', ''): v.replace('"', '') for k, v in row.items()}
|
| 90 |
+
# if not row["file_name"].endswith(".wav"):
|
| 91 |
+
# row["file_name"] += ".wav"
|
| 92 |
+
# if not row["file_name"].startswith("clips/"):
|
| 93 |
+
# row["file_name"] = "clips/" + row["file_name"]
|
| 94 |
|
| 95 |
+
# if "accents" in row:
|
| 96 |
+
# row["accent"] = row["accents"]
|
| 97 |
+
# del row["accents"]
|
| 98 |
|
| 99 |
+
# for field in data_fields:
|
| 100 |
+
# if field not in row:
|
| 101 |
+
# if field in ["up_votes", "down_votes"]:
|
| 102 |
+
# row[field] = 0
|
| 103 |
+
# else:
|
| 104 |
+
# row[field] = ""
|
| 105 |
|
| 106 |
+
# metadata[row["file_name"]] = row
|
| 107 |
|
| 108 |
+
# for i, audio_archive in enumerate(archives):
|
| 109 |
+
# for path_in_tar, file_obj in audio_archive:
|
| 110 |
+
# _, filename = os.path.split(path_in_tar)
|
| 111 |
+
# if filename in metadata:
|
| 112 |
+
# example = dict(metadata[filename])
|
| 113 |
|
| 114 |
+
# # نقرأ أول 100 بايت فقط للتأكد من وجود بيانات
|
| 115 |
+
# sample_bytes = file_obj.read(100)
|
| 116 |
+
# print(f"Read {len(sample_bytes)} bytes from {path_in_tar}")
|
| 117 |
|
| 118 |
+
# # نعيد المؤشر للبداية للقراءة الفعلية بعد الاختبار
|
| 119 |
+
# file_obj.seek(0)
|
| 120 |
|
| 121 |
+
# example["audio"] = {"path": path_in_tar, "bytes": file_obj.read()}
|
| 122 |
+
# example["path"] = path_in_tar
|
| 123 |
+
# yield path_in_tar, example
|