Kit-Lemonfoot/kitlemonfoot_rvc_models
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Error code: ConfigNamesError Exception: DataFilesNotFoundError Message: No (supported) data files found in Kit-Lemonfoot/LemonfootVoiceDatasets Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 73, 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 1904, 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 1270, in get_module module_name, default_builder_kwargs = infer_module_for_data_files( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 597, in infer_module_for_data_files raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else "")) datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in Kit-Lemonfoot/LemonfootVoiceDatasets
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This repository aims to house every dataset used in my AI voice models. Please credit me if you use these datasets.
This includes the following:
Hand-transcribed datasets were built for 15.ai and as such are in the LJSpeech transcription format.
SPEAKERNAME/filename1.wav|transcription
SPEAKERNAME/filename2.wav|transcription
SPEAKERNAME/filename3.wav|transcription
Whisper-transcribed datasets are in the VITS transcription format as seen in BertVITS2 and its' contemporaries.
filename1.wav|SPEAKERNAME|LANGUAGE|transcription
filename2.wav|SPEAKERNAME|LANGUAGE|transcription
filename3.wav|SPEAKERNAME|LANGUAGE|transcription
While some non-transcribed datasets may not be clipped, they have had their silences removed. Please be mindful of this while clipping.
All data was taken from multiple publicly available YouTube sources. These datasets are not to be used for commercial purposes.