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Datasets:
Elyordev
/
Dataset

Modalities:
Audio
Languages:
Uzbek
Tags:
automatic-speech-recognition
audio
uzbek
License:
Dataset card Files Community
Dataset Viewer
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ReadTimeout
Message:      (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: c4802df7-a234-4410-bebd-e8586c768a7e)')
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 164, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1729, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1686, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1024, in get_module
                  standalone_yaml_path = cached_path(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 178, in cached_path
                  resolved_path = huggingface_hub.HfFileSystem(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 175, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 121, in _repo_and_revision_exist
                  self._api.repo_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2682, in repo_info
                  return method(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2539, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 602, in get
                  return self.request("GET", url, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 93, in send
                  return super().send(request, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 635, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: c4802df7-a234-4410-bebd-e8586c768a7e)')

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Uzbek Speech-to-Text Dataset

Maqsad

Ushbu dataset O‘zbek tilidagi nutqni matnga aylantirish (Speech-to-Text) bo‘yicha modellarni o‘qitish va baholash uchun yaratilgan. Bu dataset avtomatik nutqni aniqlash (ASR) texnologiyalarini rivojlantirish maqsadida ishlab chiqilgan.

Strukturasi

Dataset quyidagi tuzilishga ega:

  • audio/: Audio fayllar saqlanadigan papka.
  • meta.csv: Audio fayllar va ularga mos transkripsiyalarni bog‘lovchi meta fayl.
  • Transkripsiyalar: Har bir audio fayl uchun to‘g‘ri yozilgan matn.

meta.csv Fayl Tuzilishi

id path sentence
1 audio/audio_0001/00000001.wav Bolalar maydonchalari qurilgan.
2 audio/audio_0002/00000002.wav Ro‘yxatni Matiz boshqarmoqda.

Foydalanish

Datasetni yuklab olish va ishlatish uchun quyidagi kodni ishlating:

from datasets import load_dataset

# Datasetni yuklash
dataset = load_dataset("username/dataset-name")

# Train qismidagi birinchi yozuvni ko‘rsatish
print(dataset["train"][0])

# Audio faylni o‘qish va tinglash
audio = dataset["train"][0]["audio"]["array"]
print("Audio:", audio)
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