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kotoba-speech/whisper-large-v3-vectorized

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Hugging Face2024-08-23 更新2025-04-08 收录
下载链接:
https://hf-mirror.com/datasets/kotoba-speech/whisper-large-v3-vectorized
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资源简介:
--- dataset_info: - config_name: subset_0 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: labels sequence: int64 splits: - name: train num_bytes: 1376819402768 num_examples: 895960 - name: eval num_bytes: 768350496 num_examples: 500 download_size: 266546754703 dataset_size: 1377587753264 - config_name: subset_1 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: labels sequence: int64 splits: - name: train num_bytes: 153669752 num_examples: 100 - name: eval num_bytes: 153669752 num_examples: 100 download_size: 60387108 dataset_size: 307339504 - config_name: subset_2 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 153688776 num_examples: 100 - name: eval num_bytes: 153690608 num_examples: 100 download_size: 54617428 dataset_size: 307379384 - config_name: subset_2_0 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188916280864 num_examples: 122918 download_size: 36479353381 dataset_size: 188916280864 - config_name: subset_2_1 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188916421616 num_examples: 122918 download_size: 36561234018 dataset_size: 188916421616 - config_name: subset_2_2 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188916509408 num_examples: 122918 download_size: 36647983300 dataset_size: 188916509408 - config_name: subset_2_3 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188916391392 num_examples: 122918 download_size: 36559851013 dataset_size: 188916391392 - config_name: subset_2_4 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188916459512 num_examples: 122918 download_size: 36598370220 dataset_size: 188916459512 - config_name: subset_2_5 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188916412768 num_examples: 122918 download_size: 36555510291 dataset_size: 188916412768 - config_name: subset_2_6 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188916405840 num_examples: 122918 download_size: 36562581499 dataset_size: 188916405840 - config_name: subset_2_7 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188916345080 num_examples: 122918 download_size: 36530275304 dataset_size: 188916345080 - config_name: subset_2_8 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188916326472 num_examples: 122918 download_size: 36499977708 dataset_size: 188916326472 - config_name: subset_2_9 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188927210092 num_examples: 122925 download_size: 36587569180 dataset_size: 188927210092 - config_name: subset_3_0 features: - name: input_features sequence: sequence: float32 - name: input_length dtype: int64 - name: en_labels sequence: int64 - name: ja_labels sequence: int64 splits: - name: train num_bytes: 188854906520 num_examples: 122878 download_size: 36534806072 dataset_size: 188854906520 configs: - config_name: subset_0 data_files: - split: train path: subset_0/train-* - split: eval path: subset_0/eval-* - config_name: subset_1 data_files: - split: train path: subset_1/train-* - split: eval path: subset_1/eval-* - config_name: subset_2 data_files: - split: train path: subset_2/train-* - split: eval path: subset_2/eval-* - config_name: subset_2_0 data_files: - split: train path: subset_2_0/train-* - config_name: subset_2_1 data_files: - split: train path: subset_2_1/train-* - config_name: subset_2_2 data_files: - split: train path: subset_2_2/train-* - config_name: subset_2_3 data_files: - split: train path: subset_2_3/train-* - config_name: subset_2_4 data_files: - split: train path: subset_2_4/train-* - config_name: subset_2_5 data_files: - split: train path: subset_2_5/train-* - config_name: subset_2_6 data_files: - split: train path: subset_2_6/train-* - config_name: subset_2_7 data_files: - split: train path: subset_2_7/train-* - config_name: subset_2_8 data_files: - split: train path: subset_2_8/train-* - config_name: subset_2_9 data_files: - split: train path: subset_2_9/train-* - config_name: subset_3_0 data_files: - split: train path: subset_3_0/train-* ---

数据集信息: - 配置名称:subset_0 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:1376819402768,样本数量:895960 - 划分名称:eval(验证集),占用字节数:768350496,样本数量:500 下载文件总大小:266546754703,数据集解压总占用字节数:1377587753264 - 配置名称:subset_1 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:153669752,样本数量:100 - 划分名称:eval(验证集),占用字节数:153669752,样本数量:100 下载文件总大小:60387108,数据集解压总占用字节数:307339504 - 配置名称:subset_2 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:153688776,样本数量:100 - 划分名称:eval(验证集),占用字节数:153690608,样本数量:100 下载文件总大小:54617428,数据集解压总占用字节数:307379384 - 配置名称:subset_2_0 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188916280864,样本数量:122918 下载文件总大小:36479353381,数据集解压总占用字节数:188916280864 - 配置名称:subset_2_1 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188916421616,样本数量:122918 下载文件总大小:36561234018,数据集解压总占用字节数:188916421616 - 配置名称:subset_2_2 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188916509408,样本数量:122918 下载文件总大小:36647983300,数据集解压总占用字节数:188916509408 - 配置名称:subset_2_3 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188916391392,样本数量:122918 下载文件总大小:36559851013,数据集解压总占用字节数:188916391392 - 配置名称:subset_2_4 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188916459512,样本数量:122918 下载文件总大小:36598370220,数据集解压总占用字节数:188916459512 - 配置名称:subset_2_5 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188916412768,样本数量:122918 下载文件总大小:36555510291,数据集解压总占用字节数:188916412768 - 配置名称:subset_2_6 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188916405840,样本数量:122918 下载文件总大小:36562581499,数据集解压总占用字节数:188916405840 - 配置名称:subset_2_7 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188916345080,样本数量:122918 下载文件总大小:36530275304,数据集解压总占用字节数:188916345080 - 配置名称:subset_2_8 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188916326472,样本数量:122918 下载文件总大小:36499977708,数据集解压总占用字节数:188916326472 - 配置名称:subset_2_9 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188927210092,样本数量:122925 下载文件总大小:36587569180,数据集解压总占用字节数:188927210092 - 配置名称:subset_3_0 特征字段: - 字段名:input_features,类型为嵌套序列(sequence),元素为32位浮点型(float32) - 字段名:input_length,数据类型为64位整型(int64) - 字段名:en_labels,类型为序列(sequence),元素为64位整型(int64) - 字段名:ja_labels,类型为序列(sequence),元素为64位整型(int64) 数据集划分: - 划分名称:train(训练集),占用字节数:188854906520,样本数量:122878 下载文件总大小:36534806072,数据集解压总占用字节数:188854906520 数据集配置: - 配置名称:subset_0 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_0/train-* - 数据集划分:eval(验证集),文件路径:subset_0/eval-* - 配置名称:subset_1 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_1/train-* - 数据集划分:eval(验证集),文件路径:subset_1/eval-* - 配置名称:subset_2 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2/train-* - 数据集划分:eval(验证集),文件路径:subset_2/eval-* - 配置名称:subset_2_0 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_0/train-* - 配置名称:subset_2_1 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_1/train-* - 配置名称:subset_2_2 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_2/train-* - 配置名称:subset_2_3 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_3/train-* - 配置名称:subset_2_4 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_4/train-* - 配置名称:subset_2_5 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_5/train-* - 配置名称:subset_2_6 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_6/train-* - 配置名称:subset_2_7 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_7/train-* - 配置名称:subset_2_8 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_8/train-* - 配置名称:subset_2_9 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_2_9/train-* - 配置名称:subset_3_0 数据文件列表: - 数据集划分:train(训练集),文件路径:subset_3_0/train-*
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