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This guide shows specific methods for processing audio datasets. Learn how to: Resample the sampling rate. Use map() with audio datasets. For a guide on how to ...
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Datasets is a library for easily accessing and sharing datasets for Audio, Computer Vision, and Natural Language Processing (NLP) tasks. Load a dataset in a ...
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Datasets supports an datasets.Audio feature, enabling users to load and process raw audio files for training. This guide will show you how to: Load your own ...
There are several methods for creating and sharing an audio dataset: Create an audio dataset from local files in python with Dataset.push_to_hub().
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You can load an audio dataset using the Audio feature that automatically decodes and resamples the audio files when you access the examples. Audio decoding is ...
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The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools - huggingface/datasets.
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