The dataset viewer is not available for this dataset.
Error code: ConfigNamesError Exception: ReadTimeout Message: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: df7f8822-d0d8-4587-b51e-528b91364482)') Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 79, 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 347, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1910, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1263, in get_module patterns = get_data_patterns(base_path, download_config=self.download_config) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 497, in get_data_patterns return _get_data_files_patterns(resolver) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 272, in _get_data_files_patterns data_files = pattern_resolver(pattern) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 384, in resolve_pattern for filepath, info in fs.glob(pattern, detail=True, **glob_kwargs).items() File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 416, in glob path = self.resolve_path(path, revision=kwargs.get("revision")).unresolve() File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 183, 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 131, in _repo_and_revision_exist self._api.repo_info(repo_id, revision=revision, repo_type=repo_type, timeout=HF_HUB_ETAG_TIMEOUT) 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 2588, 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 2445, 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 66, 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: df7f8822-d0d8-4587-b51e-528b91364482)')
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Persian Audio-Visual Dataset
Dataset Summary
The Persian audio-visual dataset is a collection of audio and visual data in the Persian language.The dataset consists of audio and visual data designed for speech recognition and lip reading tasks. The dataset includes over 24,000 of videos totaling over 27 hours of data.The videos are collected from news recordings and utilized a face-detection algorithm to crop and extract region of intrest.
You can download the dataset by the command below:
from datasets import load_dataset
dataset = load_dataset("SLPL/AV_Dataset")
Supported Tasks and Leaderboards
The dataset can be used for tasks such as speech recognition, audio-visual speech recognition, and speaker recognition.
Languages
The dataset is in the Persian language.
Format
The video clips are in MP4 format with a duration of 4 seconds each,enabaling efficient processing and analysis.(lenght and width of 224*224 pixels)
Data Splits
The data is unsplit.
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