My commit
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NSynth.py
CHANGED
@@ -19,7 +19,7 @@ The NSynth dataset is an audio dataset containing over 300,000 musical notes acr
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This dataset was created as an attempt to establish a high-quality entry point into audio machine learning, in response to the surge of breakthroughs in generative modeling of images due to the abundance of approachable image datasets (MNIST, CIFAR, ImageNet). NSynth is meant to be both a benchmark for audio ML and a foundation to be expanded on with future datasets.
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"""
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_HOMEPAGE = "https://magenta.tensorflow.org/datasets/nsynth
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_LICENSE = "Creative Commons Attribution 4.0 International (CC BY 4.0)"
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@@ -43,6 +43,7 @@ class NSynth(datasets.GeneratorBasedBuilder):
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"instrument_source_str": datasets.Value("string"),
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"audio": datasets.features.Audio()
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})
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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@@ -50,12 +51,13 @@ class NSynth(datasets.GeneratorBasedBuilder):
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license=_LICENSE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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dl_paths = dl_manager.download_and_extract({
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'train': 'http://download.magenta.tensorflow.org/datasets/nsynth/nsynth-train.jsonwav.tar.gz',
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'validation': 'http://download.magenta.tensorflow.org/datasets/nsynth/nsynth-valid.jsonwav.tar.gz',
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'test': 'http://download.magenta.tensorflow.org/datasets/nsynth/nsynth-test.jsonwav.tar.gz',
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-
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return[
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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@@ -70,6 +72,7 @@ class NSynth(datasets.GeneratorBasedBuilder):
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gen_kwargs={"filepath": dl_paths['test']}
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),
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]
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def _generate_examples(self, filepath):
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dir_list = os.listdir(filepath)
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folder_path = os.path.join(filepath, dir_list[0])
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@@ -96,5 +99,5 @@ class NSynth(datasets.GeneratorBasedBuilder):
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"instrument_family_str": examples[key]["instrument_family_str"],
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"instrument_source": examples[key]["instrument_source"],
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"instrument_source_str": examples[key]["instrument_source_str"],
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"audio": {'path': audio_filename, 'bytes': wavfile.read(audio_filename)[1]}
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}
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This dataset was created as an attempt to establish a high-quality entry point into audio machine learning, in response to the surge of breakthroughs in generative modeling of images due to the abundance of approachable image datasets (MNIST, CIFAR, ImageNet). NSynth is meant to be both a benchmark for audio ML and a foundation to be expanded on with future datasets.
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"""
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+
_HOMEPAGE = "https://magenta.tensorflow.org/datasets/nsynth"
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_LICENSE = "Creative Commons Attribution 4.0 International (CC BY 4.0)"
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"instrument_source_str": datasets.Value("string"),
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"audio": datasets.features.Audio()
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})
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+
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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license=_LICENSE,
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citation=_CITATION,
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)
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+
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def _split_generators(self, dl_manager):
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dl_paths = dl_manager.download_and_extract({
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'train': 'http://download.magenta.tensorflow.org/datasets/nsynth/nsynth-train.jsonwav.tar.gz',
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'validation': 'http://download.magenta.tensorflow.org/datasets/nsynth/nsynth-valid.jsonwav.tar.gz',
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'test': 'http://download.magenta.tensorflow.org/datasets/nsynth/nsynth-test.jsonwav.tar.gz',
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})
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return[
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={"filepath": dl_paths['test']}
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),
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]
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+
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def _generate_examples(self, filepath):
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dir_list = os.listdir(filepath)
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folder_path = os.path.join(filepath, dir_list[0])
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"instrument_family_str": examples[key]["instrument_family_str"],
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"instrument_source": examples[key]["instrument_source"],
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"instrument_source_str": examples[key]["instrument_source_str"],
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"audio": {'path': audio_filename, 'bytes': wavfile.read(audio_filename)[1]},
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}
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README.md
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@@ -1,3 +1,47 @@
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---
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license: cc-by-4.0
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---
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---
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license: cc-by-4.0
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: note
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dtype: int64
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- name: note_str
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dtype: string
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- name: instrument
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dtype: int64
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- name: instrument_str
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dtype: string
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- name: pitch
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dtype: int64
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- name: velocity
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dtype: int64
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- name: sample_rate
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dtype: int64
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- name: qualities
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sequence: int64
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- name: qualities_str
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sequence: string
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- name: instrument_family
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dtype: int64
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- name: instrument_family_str
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dtype: string
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- name: instrument_source
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dtype: int64
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- name: instrument_source_str
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dtype: string
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- name: audio
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dtype: audio
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splits:
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- name: train
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num_bytes: 129511245
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num_examples: 289205
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- name: validation
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num_bytes: 5679042
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num_examples: 12678
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- name: test
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num_bytes: 1830670
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num_examples: 4096
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download_size: 25233566634
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dataset_size: 137020957
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---
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