asahi417/seamless-align-enA-esA.speaker-embedding.metavoice

该数据集包含多个子集（例如subset_1到subset_137），每个子集包含行号、英语和西班牙语音频的ID、两种语言的LASER评分以及英语和西班牙语音频的说话者嵌入。数据集被划分为训练集，并指定了每个子集的字节数和示例数。文件还提到了每个子集的下载大小和数据集大小。

The dataset contains multiple subsets (e.g., subset_1 to subset_137), each with features such as line numbers, IDs for English and Spanish audio, LASER scores for both languages, and speaker embeddings for both English and Spanish audio. The dataset is split into training sets with specified numbers of bytes and examples. The file also mentions the download and dataset sizes for each subset.

原始信息汇总

数据集概述

数据集配置及特征

• config_name: subset_1

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4638414
      • num_examples: 2178
  • download_size: 5157041
  • dataset_size: 4638414

• config_name: subset_10

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4744960
      • num_examples: 2228
  • download_size: 5317500
  • dataset_size: 4744960

• config_name: subset_11

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4755614
      • num_examples: 2233
  • download_size: 5311513
  • dataset_size: 4755614

• config_name: subset_12

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4687481
      • num_examples: 2201
  • download_size: 5236637
  • dataset_size: 4687481

• config_name: subset_13

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4732230
      • num_examples: 2222
  • download_size: 5313417
  • dataset_size: 4732230

• config_name: subset_14

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4742785
      • num_examples: 2227
  • download_size: 5321112
  • dataset_size: 4742785

• config_name: subset_15

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4761967
      • num_examples: 2236
  • download_size: 5322570
  • dataset_size: 4761967

• config_name: subset_16

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4793922
      • num_examples: 2251
  • download_size: 5352129
  • dataset_size: 4793922

• config_name: subset_17

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4764080
      • num_examples: 2237
  • download_size: 5347995
  • dataset_size: 4764080

• config_name: subset_18

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4674712
      • num_examples: 2195
  • download_size: 5214547
  • dataset_size: 4674712

• config_name: subset_19

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4721568
      • num_examples: 2217
  • download_size: 5257133
  • dataset_size: 4721568

• config_name: subset_2

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4781118
      • num_examples: 2245
  • download_size: 5348610
  • dataset_size: 4781118

• config_name: subset_20

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4457534
      • num_examples: 2093
  • download_size: 4971506
  • dataset_size: 4457534

• config_name: subset_21

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4436145
      • num_examples: 2083
  • download_size: 4934571
  • dataset_size: 4436145

• config_name: subset_22

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4231709
      • num_examples: 1987
  • download_size: 4730463
  • dataset_size: 4231709

• config_name: subset_23

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4338163
      • num_examples: 2037
  • download_size: 4842124
  • dataset_size: 4338163

• config_name: subset_24

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4365921
      • num_examples: 2050
  • download_size: 4867805
  • dataset_size: 4365921

• config_name: subset_25

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4351011
      • num_examples: 2043
  • download_size: 4858989
  • dataset_size: 4351011

• config_name: subset_251

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4120840
      • num_examples: 1935
  • download_size: 4324526
  • dataset_size: 4120840

• config_name: subset_252

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4095313
      • num_examples: 1923
  • download_size: 4353796
  • dataset_size: 4095313

• config_name: subset_253

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4089002
      • num_examples: 1920
  • download_size: 4345768
  • dataset_size: 4089002

• config_name: subset_254

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • enA.audio.speaker_embedding: sequence: float32
    • esA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4169876
      • num_examples: 1958
  • download_size: 4386194
  • dataset_size: 4169876

• config_name: subset_255

  • features:
    • line_no: int64
    • enA.id: string
    • enA.laser_score: float64
    • esA.id: string
    • esA.laser_score: float64
    • esA.audio.speaker_embedding: sequence: float32
    • enA.audio.speaker_embedding: sequence: float32
  • splits:
    • train
      • num_bytes: 4114506
      • num