Dataset Viewer
Auto-converted to Parquet Duplicate
text
stringlengths
31
138
00:00:00.000 speaker_0 00:00:04.614
00:00:05.071 speaker_1 00:00:33.991
00:00:34.412 speaker_2 00:00:44.810
00:00:45.168 speaker_3 00:00:47.079
00:00:47.152 speaker_3 00:00:54.762
00:00:55.350 speaker_3 00:01:04.779
00:01:05.067 speaker_2 00:01:29.307
00:01:29.792 speaker_0 00:01:32.287
00:01:32.338 speaker_1 00:01:57.748
00:01:58.320 speaker_0 00:01:59.320
00:01:59.396 speaker_0 00:02:23.606
00:02:23.873 speaker_3 00:02:38.493
00:02:38.744 speaker_0 00:02:40.403
00:02:40.510 speaker_1 00:02:54.233
00:02:54.763 speaker_2 00:03:19.333
00:03:19.782 speaker_2 00:03:20.782
00:03:20.895 speaker_0 00:03:30.255
00:03:30.833 speaker_2 00:03:32.903
00:03:32.983 speaker_0 00:03:38.183
00:03:38.603 speaker_1 00:03:46.919
00:03:47.368 speaker_2 00:03:48.608
00:03:48.778 speaker_3 00:03:53.978
00:03:54.346 speaker_2 00:04:12.594
00:04:13.021 speaker_2 00:04:22.941
00:04:23.326 speaker_1 00:04:32.996
00:04:33.309 speaker_0 00:04:35.892
00:04:36.018 speaker_0 00:04:50.018
00:04:50.495 speaker_3 00:04:52.001
00:04:52.076 speaker_3 00:05:06.036
00:05:06.457 speaker_3 00:05:07.457
00:05:07.521 speaker_0 00:05:18.561
00:05:18.875 speaker_2 00:05:33.969
00:05:34.332 speaker_2 00:05:36.995
00:05:37.080 speaker_1 00:06:03.973
00:06:04.238 speaker_3 00:06:15.848
00:06:16.197 speaker_0 00:06:18.303
00:06:18.448 speaker_0 00:06:40.608
00:06:41.110 speaker_3 00:06:59.044
00:06:59.387 speaker_2 00:07:11.864
00:07:12.442 speaker_1 00:07:24.960
00:07:25.225 speaker_0 00:07:27.579
00:07:27.743 speaker_1 00:07:36.901
00:07:37.404 speaker_0 00:07:38.404
00:07:38.484 speaker_0 00:07:55.134
00:07:55.504 speaker_3 00:07:59.704
00:08:00.070 speaker_1 00:08:01.070
00:08:01.148 speaker_2 00:08:04.228
00:08:04.504 speaker_3 00:08:10.331
00:08:10.720 speaker_1 00:08:14.099
00:08:14.695 speaker_0 00:08:24.895
00:08:25.467 speaker_2 00:08:35.153
00:08:35.422 speaker_0 00:08:54.631
00:08:55.049 speaker_2 00:09:05.219
00:09:05.799 speaker_1 00:09:10.919
00:09:11.188 speaker_1 00:09:12.188
00:09:12.328 speaker_3 00:09:23.688
00:09:23.970 speaker_2 00:09:41.089
00:09:41.448 speaker_3 00:09:42.448
00:09:42.612 speaker_0 00:10:08.662
00:10:08.967 speaker_1 00:10:17.915
00:10:18.421 speaker_3 00:10:36.991
00:10:37.586 speaker_3 00:10:38.586
00:10:38.713 speaker_3 00:10:41.775
00:10:42.176 speaker_2 00:11:00.946
00:11:01.258 speaker_0 00:11:02.458
00:11:02.617 speaker_0 00:11:08.975
00:11:09.502 speaker_1 00:11:27.612
00:11:28.045 speaker_3 00:11:33.445
00:11:33.766 speaker_1 00:11:49.916
00:11:50.223 speaker_0 00:11:51.826
00:11:51.937 speaker_2 00:12:02.417
00:12:02.781 speaker_0 00:12:05.431
00:12:05.481 speaker_0 00:12:23.964
00:12:24.395 speaker_0 00:12:50.607
00:12:50.967 speaker_2 00:12:53.341
00:12:53.482 speaker_1 00:13:10.882
00:13:11.461 speaker_1 00:13:12.461
00:13:12.545 speaker_2 00:13:33.345
00:13:33.942 speaker_3 00:13:48.912
00:13:49.508 speaker_1 00:13:52.375
00:13:52.555 speaker_3 00:14:02.525
00:14:02.893 speaker_1 00:14:03.893
00:14:04.013 speaker_1 00:14:18.863
00:14:19.220 speaker_2 00:14:27.702
00:14:28.258 speaker_0 00:14:37.657
00:14:38.211 speaker_0 00:14:50.411
00:14:50.669 speaker_1 00:15:05.091
00:15:05.663 speaker_1 00:15:08.325
00:15:08.409 speaker_3 00:15:29.072
00:15:29.336 speaker_3 00:15:30.616
00:15:30.730 speaker_2 00:15:43.330
00:15:43.669 speaker_1 00:15:46.087
00:15:46.265 speaker_1 00:15:58.607
00:15:59.097 speaker_2 00:16:19.335
00:16:19.749 speaker_0 00:16:39.349
00:16:39.750 speaker_3 00:16:59.080
00:16:59.629 speaker_1 00:17:15.839
00:17:16.176 speaker_0 00:17:32.746
00:17:33.152 speaker_3 00:17:49.078
00:17:49.442 speaker_2 00:17:56.842
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
66