ray.data.read_audio#
- ray.data.read_audio(paths: str | List[str], *, filesystem: pyarrow.fs.FileSystem | None = None, arrow_open_stream_args: Dict[str, Any] | None = None, partition_filter: PathPartitionFilter | None = None, partitioning: Partitioning | None = None, include_paths: bool = False, ignore_missing_paths: bool = False, file_extensions: List[str] | None = ['mp3', 'wav', 'aac', 'flac', 'ogg', 'm4a', 'wma', 'alac', 'aiff', 'pcm', 'amr', 'opus', 'ra', 'rm', 'au', 'mid', 'midi', 'caf'], shuffle: Literal['files'] | None = None, concurrency: int | None = None, override_num_blocks: int | None = None, ray_remote_args: Dict[str, Any] | None = None)[source]#
Creates a
Dataset
from audio files.Examples
>>> import ray >>> path = "s3://anonymous@air-example-data-2/6G-audio-data-LibriSpeech-train-clean-100-flac/train-clean-100/5022/29411/5022-29411-0000.flac" >>> ds = ray.data.read_audio(path) >>> ds.schema() Column Type ------ ---- amplitude numpy.ndarray(shape=(1, 191760), dtype=float) sample_rate int64
- Parameters:
paths – A single file or directory, or a list of file or directory paths. A list of paths can contain both files and directories.
filesystem – The pyarrow filesystem implementation to read from. These filesystems are specified in the pyarrow docs. Specify this parameter if you need to provide specific configurations to the filesystem. By default, the filesystem is automatically selected based on the scheme of the paths. For example, if the path begins with
s3://
, theS3FileSystem
is used.arrow_open_stream_args – kwargs passed to pyarrow.fs.FileSystem.open_input_file. when opening input files to read.
partition_filter – A
PathPartitionFilter
. Use with a custom callback to read only selected partitions of a dataset.partitioning – A
Partitioning
object that describes how paths are organized. Defaults toNone
.include_paths – If
True
, include the path to each image. File paths are stored in the'path'
column.ignore_missing_paths – If True, ignores any file/directory paths in
paths
that are not found. Defaults to False.file_extensions – A list of file extensions to filter files by.
concurrency – The maximum number of Ray tasks to run concurrently. Set this to control number of tasks to run concurrently. This doesn’t change the total number of tasks run or the total number of output blocks. By default, concurrency is dynamically decided based on the available resources.
override_num_blocks – Override the number of output blocks from all read tasks. By default, the number of output blocks is dynamically decided based on input data size and available resources. You shouldn’t manually set this value in most cases.
ray_remote_args – kwargs passed to
remote()
in the read tasks.
- Returns:
A
Dataset
containing audio amplitudes and associated metadata.
PublicAPI (alpha): This API is in alpha and may change before becoming stable.