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GenBench / SpeechCommands /metadata.json
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{
"dataset": "Speech Commands V2 full 35-word task",
"source_url": "https://storage.googleapis.com/download.tensorflow.org/data/speech_commands_v0.02.tar.gz",
"source_md5": "6b74f3901214cb2c2934e98196829835",
"license": "CC BY 4.0",
"sample_rate": 16000,
"source_length": 16000,
"model_length": 16384,
"labels": [
"backward",
"bed",
"bird",
"cat",
"dog",
"down",
"eight",
"five",
"follow",
"forward",
"four",
"go",
"happy",
"house",
"learn",
"left",
"marvin",
"nine",
"no",
"off",
"on",
"one",
"right",
"seven",
"sheila",
"six",
"stop",
"three",
"tree",
"two",
"up",
"visual",
"wow",
"yes",
"zero"
],
"split_rule": "upstream validation_list.txt/testing_list.txt; speaker hashes are disjoint",
"splits": {
"train": {
"examples": 84843,
"speakers": 2112,
"minimum_frames": 4096,
"maximum_frames": 16000,
"class_counts": [
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},
"validation": {
"examples": 9981,
"speakers": 256,
"minimum_frames": 5461,
"maximum_frames": 16000,
"class_counts": [
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},
"test": {
"examples": 11005,
"speakers": 250,
"minimum_frames": 3413,
"maximum_frames": 16000,
"class_counts": [
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]
}
},
"normalization": {
"mean": -8.320687318841441e-05,
"standard_deviation": 0.08498979057235274
}
}