Hugging Face's logo

Datasets:
objects76
/
ami-sdm-2.25

Modalities:
Audio
Text
Formats:
parquet
Size:
10K - 100K
Libraries:
Datasets
Dask
Dataset card Data Studio Files
xet
Community
1
Dataset Viewer
Auto-converted to Parquet Duplicate
audio
audioduration (s)
0
2.25
timestamps_start
sequencelengths
2
4
timestamps_end
sequencelengths
2
4
speakers
sequencelengths
2
4
[ 0, 1.32 ]
[ 0.66, 1.92 ]
[ "MIE080", "MIE083" ]
[ 0.32, 1.53 ]
[ 0.92, 2.25 ]
[ "MIE083", "MIE080" ]
[ 0.44, 1.3 ]
[ 0.92, 2.25 ]
[ "MIE080", "MIE083" ]
[ 0, 0.06 ]
[ 1.34, 1.23 ]
[ "MIE080", "MIO026" ]
[ 0, 0, 1.9 ]
[ 0.23, 0.34, 2.25 ]
[ "MIO026", "MIE080", "MIO026" ]
[ 1.39, 1.54 ]
[ 2.25, 1.9 ]
[ "MIO026", "MIE083" ]
[ 0.39, 0.54 ]
[ 2.25, 0.9 ]
[ "MIO026", "MIE083" ]
[ 0, 1.53 ]
[ 2.25, 2.25 ]
[ "MIO026", "MIE083" ]
[ 0, 0.53 ]
[ 2.25, 2.25 ]
[ "MIO026", "MIE083" ]
[ 0, 0 ]
[ 0.43, 2.25 ]
[ "MIO026", "MIE029" ]
[ 0, 1.93 ]
[ 1.61, 2.25 ]
[ "MIE029", "MIO026" ]
[ 0, 0.93 ]
[ 0.61, 1.35 ]
[ "MIE029", "MIO026" ]
[ 0, 1.13, 1.91 ]
[ 0.15, 2.25, 2.25 ]
[ "MIO026", "MIE029", "MIO026" ]
[ 0, 1.54 ]
[ 2.25, 2.05 ]
[ "MIE080", "MIE029" ]
[ 0, 0.23 ]
[ 2.25, 1.38 ]
[ "MIE080", "MIO026" ]
[ 0, 0.97 ]
[ 2.25, 2.23 ]
[ "MIE080", "MIE083" ]
[ 0, 0 ]
[ 0.29, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0.84, 1.49 ]
[ 2.25, 1.78 ]
[ "MIE080", "MIE029" ]
[ 0, 0.49 ]
[ 2.25, 0.78 ]
[ "MIE080", "MIE029" ]
[ 0, 1.7 ]
[ 1.08, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 0.9, 2.14 ]
[ 0.28, 1.91, 2.25 ]
[ "MIE080", "MIE029", "MIE080" ]
[ 0, 0.94, 1.95 ]
[ 0.71, 1.73, 2.1 ]
[ "MIE029", "MIE080", "MIE029" ]
[ 0, 0.95, 2.05 ]
[ 0.73, 1.1, 2.25 ]
[ "MIE080", "MIE029", "MIE080" ]
[ 0.15, 1.25, 1.89 ]
[ 0.3, 1.65, 2.25 ]
[ "MIE029", "MIE080", "MIE029" ]
[ 0.05, 0.69 ]
[ 0.45, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 1.36 ]
[ 1.62, 2.1 ]
[ "MIE029", "MIE080" ]
[ 0, 0.36 ]
[ 0.62, 1.1 ]
[ "MIE029", "MIE080" ]
[ 0, 1.51 ]
[ 0.3, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0.11, 1.95 ]
[ 1.71, 2.25 ]
[ "MIE029", "MIO026" ]
[ 0, 1.15 ]
[ 0.91, 2.02 ]
[ "MIE029", "MIO026" ]
[ 0, 2.09 ]
[ 0.22, 2.25 ]
[ "MIO026", "MIE029" ]
[ 0.69, 1.9 ]
[ 1.69, 2.25 ]
[ "MIE029", "MIE083" ]
[ 0, 0.04 ]
[ 0.43, 2.25 ]
[ "MIE080", "MIO026" ]
[ 0, 1.65 ]
[ 2.25, 2.25 ]
[ "MIO026", "MIE029" ]
[ 0, 2.03 ]
[ 2.25, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 1.23 ]
[ 1.83, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 1.96 ]
[ 1.78, 2.25 ]
[ "MIE029", "MIE083" ]
[ 0, 1.16 ]
[ 0.98, 2.25 ]
[ "MIE029", "MIE083" ]
[ 0, 1.85 ]
[ 1.29, 2.25 ]
[ "MIE083", "MIO026" ]
[ 0, 1.87, 1.98 ]
[ 1.32, 2.25, 2.25 ]
[ "MIE029", "MIE080", "MIE029" ]
[ 0, 1.07, 1.18 ]
[ 0.52, 2.23, 2.25 ]
[ "MIE029", "MIE080", "MIE029" ]
[ 0, 1.93 ]
[ 2.25, 2.19 ]
[ "MIE029", "MIE083" ]
[ 0, 0.93 ]
[ 2.25, 1.19 ]
[ "MIE029", "MIE083" ]
[ 0, 0 ]
[ 0.19, 2.25 ]
[ "MIE083", "MIE029" ]
[ 0, 1.76 ]
[ 2.25, 1.94 ]
[ "MIE029", "MIE083" ]
[ 0, 0.76 ]
[ 2.25, 0.94 ]
[ "MIE029", "MIE083" ]
[ 0, 1.65 ]
[ 2.25, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 1.77 ]
[ 2.25, 2.25 ]
[ "MIE083", "MIE029" ]
[ 0, 0.77 ]
[ 2.25, 1.26 ]
[ "MIE083", "MIE029" ]
[ 0, 0 ]
[ 0.26, 2.25 ]
[ "MIE029", "MIE083" ]
[ 0, 2 ]
[ 2.25, 2.25 ]
[ "MIE083", "MIE029" ]
[ 0, 1 ]
[ 1.76, 2.25 ]
[ "MIE083", "MIE029" ]
[ 0, 0, 2.07 ]
[ 0.76, 2.25, 2.25 ]
[ "MIE083", "MIE029", "MIE083" ]
[ 0, 1.07 ]
[ 2.25, 2.25 ]
[ "MIE029", "MIE083" ]
[ 0, 0.07 ]
[ 2.25, 1.57 ]
[ "MIE029", "MIE083" ]
[ 0, 0 ]
[ 0.57, 2.25 ]
[ "MIE083", "MIE029" ]
[ 0, 2.09 ]
[ 2.25, 2.24 ]
[ "MIE029", "MIE083" ]
[ 0, 0.15 ]
[ 2.25, 0.3 ]
[ "MIE029", "MIE080" ]
[ 0, 1.5 ]
[ 2.25, 1.82 ]
[ "MIE029", "MIE080" ]
[ 0, 0.5 ]
[ 2.25, 0.82 ]
[ "MIE029", "MIE080" ]
[ 0, 2 ]
[ 1.59, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 1.2 ]
[ 0.79, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 1.96 ]
[ 2.21, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 1.16 ]
[ 1.41, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 0.16, 1.78 ]
[ 0.41, 2.25, 2.08 ]
[ "MIE080", "MIE029", "MIE080" ]
[ 0, 0 ]
[ 0.98, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 2 ]
[ 2.25, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 1 ]
[ 2.07, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 0 ]
[ 1.07, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 0 ]
[ 0.27, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 1.42 ]
[ 2.25, 1.71 ]
[ "MIE029", "MIE080" ]
[ 0, 0.42 ]
[ 2.25, 0.71 ]
[ "MIE029", "MIE080" ]
[ 0, 1.9 ]
[ 2.25, 2.06 ]
[ "MIE029", "MIE080" ]
[ 0, 0.9 ]
[ 2.22, 1.06 ]
[ "MIE029", "MIE080" ]
[ 0, 0.1 ]
[ 1.42, 0.26 ]
[ "MIE029", "MIE080" ]
[ 1.48, 2 ]
[ 2.25, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0.68, 1.2 ]
[ 1.47, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 0.2 ]
[ 0.47, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 1.84 ]
[ 0.82, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 1.43 ]
[ 2.25, 1.68 ]
[ "MIE029", "MIE080" ]
[ 0, 0.61 ]
[ 2.25, 1.38 ]
[ "MIE029", "MIE083" ]
[ 0, 0, 1.75 ]
[ 0.38, 2.25, 2.09 ]
[ "MIE083", "MIE029", "MIE083" ]
[ 0.38, 1.15 ]
[ 0.7, 2.25 ]
[ "MIE080", "MIE083" ]
[ 0, 2.02 ]
[ 2.25, 2.25 ]
[ "MIE083", "MIE029" ]
[ 0, 1.97 ]
[ 1.75, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 0.97 ]
[ 0.75, 2.25 ]
[ "MIE029", "MIE080" ]
[ 0, 1.37 ]
[ 2.25, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 1.62 ]
[ 2.25, 1.86 ]
[ "MIE083", "MIE029" ]
[ 0, 0.62 ]
[ 2.25, 0.86 ]
[ "MIE083", "MIE029" ]
[ 0, 1.56 ]
[ 1.42, 2.25 ]
[ "MIE083", "MIE029" ]
[ 0, 0.56 ]
[ 0.42, 2.25 ]
[ "MIE083", "MIE029" ]
[ 0, 1.52, 2.08 ]
[ 1.47, 1.85, 2.25 ]
[ "MIE029", "MIE080", "MIE029" ]
[ 0, 0.52, 1.08 ]
[ 0.47, 0.85, 2.25 ]
[ "MIE029", "MIE080", "MIE029" ]
[ 0, 1.95 ]
[ 2.25, 2.17 ]
[ "MIE029", "MIE080" ]
[ 0, 0.95 ]
[ 2.25, 1.17 ]
[ "MIE029", "MIE080" ]
[ 0, 0 ]
[ 0.17, 2.25 ]
[ "MIE080", "MIE029" ]
[ 0, 1.82 ]
[ 1.55, 2.14 ]
[ "MIE029", "MIE080" ]
[ 0, 0.82, 1.78 ]
[ 0.55, 1.14, 2.25 ]
[ "MIE029", "MIE080", "MIE029" ]
[ 0.02, 0.98, 1.74 ]
[ 0.34, 2.25, 2.25 ]
[ "MIE080", "MIE029", "MIE080" ]
[ 0, 0.54 ]
[ 1.15, 2.25 ]
[ "MIE029", "MIE080" ]
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
11
Size of downloaded dataset files:
6.04 GB
Size of the auto-converted Parquet files:
6.04 GB
Number of rows:
96,439