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renumics/speech_commands-ast-finetuned-results

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Hugging Face2023-10-09 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/renumics/speech_commands-ast-finetuned-results
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资源简介:
--- dataset_info: config_name: v0.01 features: - name: probability dtype: float64 - name: prediction dtype: class_label: names: '0': 'yes' '1': 'no' '2': up '3': down '4': left '5': right '6': 'on' '7': 'off' '8': stop '9': go '10': zero '11': one '12': two '13': three '14': four '15': five '16': six '17': seven '18': eight '19': nine '20': bed '21': bird '22': cat '23': dog '24': happy '25': house '26': marvin '27': sheila '28': tree '29': wow '30': _silence_ - name: embedding sequence: float32 - name: entropy dtype: float64 splits: - name: train num_bytes: 1839348 num_examples: 51093 - name: validation num_bytes: 244764 num_examples: 6799 - name: test num_bytes: 110916 num_examples: 3081 download_size: 0 dataset_size: 2195028 configs: - config_name: v0.01 data_files: - split: train path: v0.01/train-* - split: validation path: v0.01/validation-* - split: test path: v0.01/test-* --- # Dataset Card for "speech_commands-ast-finetuned-results" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
renumics
原始信息汇总

数据集概述

配置名称

  • v0.01

特征信息

  • probability: 数据类型为 float64
  • prediction: 数据类型为分类标签,包含以下类别:
    • 0: yes
    • 1: no
    • 2: up
    • 3: down
    • 4: left
    • 5: right
    • 6: on
    • 7: off
    • 8: stop
    • 9: go
    • 10: zero
    • 11: one
    • 12: two
    • 13: three
    • 14: four
    • 15: five
    • 16: six
    • 17: seven
    • 18: eight
    • 19: nine
    • 20: bed
    • 21: bird
    • 22: cat
    • 23: dog
    • 24: happy
    • 25: house
    • 26: marvin
    • 27: sheila
    • 28: tree
    • 29: wow
    • 30: silence
  • embedding: 序列类型为 float32
  • entropy: 数据类型为 float64

数据分割

  • train: 字节数为 1839348,样本数为 51093
  • validation: 字节数为 244764,样本数为 6799
  • test: 字节数为 110916,样本数为 3081

数据集大小

  • 下载大小: 0
  • 数据集大小: 2195028

配置文件路径

  • v0.01
    • train: v0.01/train-*
    • validation: v0.01/validation-*
    • test: v0.01/test-*
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