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asahi417
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seamless-align-deA-enA.speaker-embedding.hubert-xl

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  1. README.md +32 -0
  2. subset_28/train-00000-of-00021.parquet +3 -0
  3. subset_28/train-00001-of-00021.parquet +3 -0
  4. subset_28/train-00002-of-00021.parquet +3 -0
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  9. subset_28/train-00007-of-00021.parquet +3 -0
  10. subset_28/train-00008-of-00021.parquet +3 -0
  11. subset_28/train-00009-of-00021.parquet +3 -0
  12. subset_28/train-00010-of-00021.parquet +3 -0
  13. subset_28/train-00011-of-00021.parquet +3 -0
  14. subset_28/train-00012-of-00021.parquet +3 -0
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  18. subset_28/train-00016-of-00021.parquet +3 -0
  19. subset_28/train-00017-of-00021.parquet +3 -0
  20. subset_28/train-00018-of-00021.parquet +3 -0
  21. subset_28/train-00019-of-00021.parquet +3 -0
  22. subset_28/train-00020-of-00021.parquet +3 -0
README.md CHANGED
@@ -560,6 +560,34 @@ dataset_info:
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  num_examples: 2120
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  download_size: 10066279572
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  dataset_size: 10036757002
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - config_name: subset_3
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  features:
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  - name: line_no
@@ -837,6 +865,10 @@ configs:
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  data_files:
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  - split: train
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  path: subset_27/train-*
 
 
 
 
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  - config_name: subset_3
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  data_files:
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  - split: train
 
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  num_examples: 2120
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  download_size: 10066279572
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  dataset_size: 10036757002
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+ - config_name: subset_28
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+ features:
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+ - name: line_no
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+ dtype: int64
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+ - name: deA.id
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+ dtype: string
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+ - name: deA.laser_score
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+ dtype: float64
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+ - name: enA.id
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+ dtype: string
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+ - name: enA.laser_score
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+ dtype: float64
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+ - name: deA.audio.speaker_embedding
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+ sequence: float32
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+ - name: deA.audio.speaker_embedding.full
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+ sequence:
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+ sequence: float32
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+ - name: enA.audio.speaker_embedding
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+ sequence: float32
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+ - name: enA.audio.speaker_embedding.full
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+ sequence:
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+ splits:
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+ - name: train
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+ num_bytes: 10211292314
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+ num_examples: 2140
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+ download_size: 10239738302
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+ dataset_size: 10211292314
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  - config_name: subset_3
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  features:
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  - name: line_no
 
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  data_files:
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  - split: train
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  path: subset_27/train-*
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+ - config_name: subset_28
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+ data_files:
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+ - split: train
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  - config_name: subset_3
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