Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Job manager crashed while running this job (missing heartbeats).
Error code:   JobManagerCrashedError

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

__key__
string
__url__
string
npy
sequence
tokens/acoustic/10001_8844_000003
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 408, 408, 717, 738, 780, 717, 738, 780, 780, 408, 717, 780, 717, 780, 780, 428, 239, 955, 428, 764, 890, 1010, 598, 598, 570, 563, 937, 428, 233, 585, 213, 788, 969, 428...
tokens/acoustic/10001_9736_000001
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 780, 408, 717, 717, 738, 876, 738, 780, 780, 780, 717, 738, 876, 780, 780, 738, 780, 717, 475, 779, 666, 198, 239, 586, 1022, 267, 131, 999, 463, 373, 373, 310, 530, 936...
tokens/acoustic/10001_9736_000017
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 475, 738, 779, 475, 738, 475, 738, 738, 475, 855, 738, 876, 780, 738, 780, 738, 876, 738, 738, 855, 408, 738, 738, 717, 738, 738, 780, 738, 717, 738, 780, 738, 717, 738,...
tokens/acoustic/10001_9736_000018
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 780, 408, 408, 717, 717, 738, 717, 780, 408, 738, 408, 717, 780, 780, 780, 738, 780, 738, 738, 472, 677, 982, 233, 33, 811, 310, 310, 321, 875, 604, 537, 463, 339, 855, 475, ...
tokens/acoustic/10001_9736_000020
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 780, 780, 780, 738, 738, 738, 738, 408, 738, 780, 738, 738, 875, 875, 131, 310, 982, 33, 20, 20, 20, 253, 33, 986, 679, 921, 191, 197, 890, 228, 208, 945, 784, 928, ...
tokens/acoustic/10001_9736_000024
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 738, 780, 780, 876, 738, 780, 738, 738, 738, 738, 408, 738, 738, 717, 738, 738, 717, 780, 738, 738, 780, 780, 738, 738, 738, 738, 738, 738, 738, 106, 738, 738, 408, 738,...
tokens/acoustic/10001_9736_000031
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 780, 408, 408, 717, 717, 738, 717, 780, 408, 738, 408, 717, 780, 780, 780, 780, 780, 780, 780, 780, 780, 780, 780, 780, 780, 780, 780, 717, 738, 738, 780, 738, 738, 876, 779,...
tokens/acoustic/10001_9736_000032
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 780, 738, 738, 738, 738, 106, 855, 475, 738, 855, 738, 876, 106, 404, 408, 780, 780, 738, 738, 780, 738, 583, 784, 467, 782, 864, 782, 760, 612, 986, 264, 612, 185, 912,...
tokens/acoustic/10001_9736_000039
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 780, 738, 475, 738, 475, 475, 475, 738, 738, 855, 404, 106, 408, 780, 780, 780, 738, 475, 879, 747, 788, 59, 896, 850, 586, 1004, 764, 629, 604, 310, 900, 957, 347, 325, 344,...
tokens/acoustic/10001_9736_000041
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 780, 876, 738, 738, 106, 779, 855, 408, 780, 780, 738, 738, 52, 91, 475, 372, 846, 412, 167, 843, 958, 764, 942, 936, 881, 945, 890, 191, 901, 986, 143, 696, 491, 491, 875, ...
tokens/acoustic/10001_9736_000043
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 408, 780, 738, 738, 738, 738, 780, 717, 738, 780, 738, 780, 738, 780, 738, 738, 855, 475, 738, 738, 738, 876, 475, 738, 876, 876, 475, 1017, 738, 738, 475, 738, 780, 738, 738...
tokens/acoustic/10001_9736_000049
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 408, 738, 738, 738, 738, 904, 738, 780, 738, 738, 717, 738, 738, 738, 738, 738, 780, 780, 408, 780, 738, 738, 408, 738, 780, 717, 717, 780, 717, 717, 738, 780, 738, 780, 780,...
tokens/acoustic/10001_9736_000050
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 780, 738, 738, 738, 475, 738, 738, 738, 738, 738, 855, 738, 738, 738, 780, 738, 876, 724, 991, 612, 784, 944, 23, 753, 780, 395, 339, 875, 412, 811, 310, 875, 131, 224, ...
tokens/acoustic/10001_9736_000053
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 738, 876, 855, 876, 738, 738, 1017, 876, 738, 738, 738, 738, 738, 717, 738, 604, 570, 944, 612, 612, 23, 408, 537, 38, 38, 724, 191, 197, 890, 373, 463, 160, 463, 463, 393, ...
tokens/acoustic/10002_9750_000001
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 408, 780, 780, 717, 738, 408, 717, 121, 780, 717, 738, 475, 855, 738, 780, 106, 738, 780, 738, 121, 717, 780, 738, 408, 717, 780, 780, 780, 408, 408, 62, 780, 738, 106, ...
tokens/acoustic/10002_9750_000004
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 835, 475, 855, 738, 738, 855, 738, 738, 738, 738, 780, 408, 738, 738, 408, 121, 738, 339, 323, 43, 613, 613, 339, 463, 463, 373, 53, 463, 463, 731, 288, 233, 694, 694, 945, ...
tokens/acoustic/10002_9750_000007
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 408, 780, 780, 408, 780, 780, 738, 780, 738, 339, 475, 25, 738, 738, 738, 738, 780, 780, 738, 738, 408, 738, 780, 780, 408, 717, 738, 779, 395, 59, 698, 583, 339, 25, ...
tokens/acoustic/10002_9750_000008
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 408, 780, 717, 780, 408, 780, 738, 738, 738, 738, 780, 780, 738, 408, 780, 717, 717, 780, 780, 780, 717, 717, 408, 408, 780, 780, 738, 751, 1004, 388, 800, 372, 850, 372, 372...
tokens/acoustic/10002_9750_000026
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 738, 738, 738, 738, 780, 738, 738, 780, 395, 717, 738, 475, 779, 666, 388, 388, 1008, 1011, 583, 635, 491, 491, 491, 971, 976, 967, 990, 388, 755, 961, 502, 23, 491, 344...
tokens/acoustic/10002_9750_000031
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 408, 475, 780, 738, 738, 738, 475, 738, 738, 738, 780, 408, 780, 780, 408, 408, 738, 780, 738, 780, 339, 475, 666, 388, 388, 388, 388, 1008, 433, 388, 233, 388, 372, 59, 233,...
tokens/acoustic/10002_9750_000034
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 717, 779, 537, 779, 25, 339, 887, 25, 779, 779, 395, 25, 475, 475, 408, 780, 738, 408, 780, 717, 780, 717, 408, 408, 738, 463, 23, 151, 602, 958, 912, 942, 291, 808, 372, ...
tokens/acoustic/10002_9750_000038
hf://datasets/cmeraki/mls_eng_10k@8cb89bb312e4db69ca3018d5eedf186f06b92715/acoustic.tar
[ [ 780, 408, 408, 717, 717, 780, 717, 780, 408, 780, 780, 738, 738, 738, 717, 717, 738, 780, 780, 717, 780, 780, 717, 717, 717, 717, 408, 408, 738, 565, 642, 730, 362, 222, 388,...
End of preview.

No dataset card yet

Downloads last month
6