Dataset Viewer
Auto-converted to Parquet Duplicate
ID
stringlengths
21
36
start
float64
0
51.1k
end
float64
1.02
51.2k
duration
float64
1
3.06k
video_id
stringlengths
11
18
r9YlTH5M7jw_0.13_2.56
0.13
2.56
2.428
r9YlTH5M7jw
r9YlTH5M7jw_2.82_8.41
2.82
8.41
5.587625
r9YlTH5M7jw
tsYucDTA3nc_0.13_12.99
0.13
12.99
12.86
tsYucDTA3nc
tsYucDTA3nc_14.47_16.06
14.47
16.06
1.596
tsYucDTA3nc
tsYucDTA3nc_19.30_28.99
19.3
28.99
9.692
tsYucDTA3nc
tsYucDTA3nc_29.76_56.06
29.76
56.06
26.3
tsYucDTA3nc
tsYucDTA3nc_57.79_61.53
57.79
61.53
3.74
tsYucDTA3nc
tsYucDTA3nc_63.91_70.78
63.91
70.78
6.876
tsYucDTA3nc
tsYucDTA3nc_71.27_79.26
71.27
79.26
7.996
tsYucDTA3nc
tsYucDTA3nc_79.68_81.21
79.68
81.21
1.532
tsYucDTA3nc
tsYucDTA3nc_81.47_88.80
81.47
88.8
7.324
tsYucDTA3nc
tsYucDTA3nc_89.09_90.27
89.09
90.27
1.18
tsYucDTA3nc
tsYucDTA3nc_90.79_96.73
90.79
96.73
5.948
tsYucDTA3nc
tsYucDTA3nc_97.15_98.56
97.15
98.56
1.404
tsYucDTA3nc
tsYucDTA3nc_98.82_108.16
98.82
108.16
9.34
tsYucDTA3nc
tsYucDTA3nc_108.42_111.04
108.42
111.04
2.62
tsYucDTA3nc
tsYucDTA3nc_111.39_113.76
111.39
113.76
2.364
tsYucDTA3nc
tsYucDTA3nc_114.37_115.65
114.37
115.65
1.276
tsYucDTA3nc
tsYucDTA3nc_116.19_123.10
116.19
123.1
6.908
tsYucDTA3nc
tsYucDTA3nc_125.67_129.76
125.67
129.76
4.092
tsYucDTA3nc
tsYucDTA3nc_130.15_131.68
130.15
131.68
1.532
tsYucDTA3nc
tsYucDTA3nc_132.19_134.43
132.19
134.43
2.236
tsYucDTA3nc
tsYucDTA3nc_136.00_140.19
136
140.19
4.188
tsYucDTA3nc
tsYucDTA3nc_140.48_146.97
140.48
146.97
6.492
tsYucDTA3nc
tsYucDTA3nc_147.46_149.41
147.46
149.41
1.948
tsYucDTA3nc
tsYucDTA3nc_149.73_152.16
149.73
152.16
2.428
tsYucDTA3nc
tsYucDTA3nc_152.45_155.26
152.45
155.26
2.812
tsYucDTA3nc
tsYucDTA3nc_155.87_162.21
155.87
162.21
6.332
tsYucDTA3nc
tsYucDTA3nc_162.66_165.31
162.66
165.31
2.652
tsYucDTA3nc
tsYucDTA3nc_165.67_173.69
165.67
173.69
8.028
tsYucDTA3nc
tsYucDTA3nc_174.05_185.98
174.05
185.98
11.932
tsYucDTA3nc
tsYucDTA3nc_186.59_192.48
186.59
192.48
5.884
tsYucDTA3nc
tsYucDTA3nc_192.80_195.45
192.8
195.45
2.652
tsYucDTA3nc
tsYucDTA3nc_195.78_197.89
195.78
197.89
2.108
tsYucDTA3nc
tsYucDTA3nc_199.14_206.43
199.14
206.43
7.292
tsYucDTA3nc
tsYucDTA3nc_206.79_259.29
206.79
259.29
52.508
tsYucDTA3nc
tsYucDTA3nc_260.42_263.65
260.42
263.65
3.228
tsYucDTA3nc
tsYucDTA3nc_264.00_268.32
264
268.32
4.316
tsYucDTA3nc
tsYucDTA3nc_268.80_270.65
268.8
270.65
1.852
tsYucDTA3nc
tsYucDTA3nc_270.95_281.18
270.95
281.18
10.236
tsYucDTA3nc
tsYucDTA3nc_281.70_289.34
281.7
289.34
7.644
tsYucDTA3nc
tsYucDTA3nc_289.70_293.09
289.7
293.09
3.388
tsYucDTA3nc
tsYucDTA3nc_293.76_297.85
293.76
297.85
4.092
tsYucDTA3nc
tsYucDTA3nc_298.11_300.64
298.11
300.64
2.524
tsYucDTA3nc
tsYucDTA3nc_301.22_309.37
301.22
309.37
8.156
tsYucDTA3nc
tsYucDTA3nc_309.73_356.54
309.73
356.54
46.812
tsYucDTA3nc
tsYucDTA3nc_357.15_371.97
357.15
371.97
14.812
tsYucDTA3nc
tsYucDTA3nc_372.26_384.25
372.26
384.25
11.996
tsYucDTA3nc
tsYucDTA3nc_384.64_385.89
384.64
385.89
1.244
tsYucDTA3nc
tsYucDTA3nc_386.24_403.13
386.24
403.13
16.892
tsYucDTA3nc
tsYucDTA3nc_404.03_411.26
404.03
411.26
7.228
tsYucDTA3nc
tsYucDTA3nc_411.55_413.15
411.55
413.15
1.596
tsYucDTA3nc
tsYucDTA3nc_413.54_416.73
413.54
416.73
3.196
tsYucDTA3nc
tsYucDTA3nc_417.28_420.64
417.28
420.64
3.356
tsYucDTA3nc
tsYucDTA3nc_421.06_429.21
421.06
429.21
8.156
tsYucDTA3nc
tsYucDTA3nc_429.73_434.49
429.73
434.49
4.764
tsYucDTA3nc
tsYucDTA3nc_434.75_446.05
434.75
446.05
11.292
tsYucDTA3nc
tsYucDTA3nc_446.50_450.43
446.5
450.43
3.932
tsYucDTA3nc
tsYucDTA3nc_450.72_461.44
450.72
461.44
10.716
tsYucDTA3nc
tsYucDTA3nc_461.79_464.93
461.79
464.93
3.132
tsYucDTA3nc
tsYucDTA3nc_465.22_473.09
465.22
473.09
7.868
tsYucDTA3nc
tsYucDTA3nc_473.38_480.93
473.38
480.93
7.548
tsYucDTA3nc
tsYucDTA3nc_481.28_491.77
481.28
491.77
10.492
tsYucDTA3nc
tsYucDTA3nc_492.13_509.28
492.13
509.28
17.148
tsYucDTA3nc
tsYucDTA3nc_509.92_512.73
509.92
512.73
2.812
tsYucDTA3nc
tsYucDTA3nc_513.03_515.65
513.03
515.65
2.62
tsYucDTA3nc
tsYucDTA3nc_515.91_518.33
515.91
518.33
2.428
tsYucDTA3nc
tsYucDTA3nc_518.66_526.27
518.66
526.27
7.612
tsYucDTA3nc
tsYucDTA3nc_526.53_532.38
526.53
532.38
5.852
tsYucDTA3nc
tsYucDTA3nc_532.71_544.80
532.71
544.8
12.092
tsYucDTA3nc
tsYucDTA3nc_545.06_603.26
545.06
603.26
58.204
tsYucDTA3nc
tsYucDTA3nc_603.97_672.83
603.97
672.83
68.86
tsYucDTA3nc
tsYucDTA3nc_673.63_675.77
673.63
675.77
2.14
tsYucDTA3nc
tsYucDTA3nc_676.03_678.81
676.03
678.81
2.78
tsYucDTA3nc
tsYucDTA3nc_679.20_682.17
679.2
682.17
2.972
tsYucDTA3nc
tsYucDTA3nc_683.07_691.04
683.07
691.04
7.964
tsYucDTA3nc
tsYucDTA3nc_691.39_692.80
691.39
692.8
1.404
tsYucDTA3nc
tsYucDTA3nc_693.06_694.75
693.06
694.75
1.692
tsYucDTA3nc
tsYucDTA3nc_695.20_699.97
695.2
699.97
4.764
tsYucDTA3nc
tsYucDTA3nc_700.26_703.65
700.26
703.65
3.388
tsYucDTA3nc
tsYucDTA3nc_704.03_706.53
704.03
706.53
2.492
tsYucDTA3nc
tsYucDTA3nc_706.85_715.10
706.85
715.1
8.252
tsYucDTA3nc
tsYucDTA3nc_715.39_718.40
715.39
718.4
3.004
tsYucDTA3nc
tsYucDTA3nc_719.33_723.39
719.33
723.39
4.06
tsYucDTA3nc
tsYucDTA3nc_723.78_726.88
723.78
726.88
3.1
tsYucDTA3nc
tsYucDTA3nc_727.20_729.41
727.2
729.41
2.204
tsYucDTA3nc
tsYucDTA3nc_729.73_730.88
729.73
730.88
1.148
tsYucDTA3nc
tsYucDTA3nc_731.20_734.62
731.2
734.62
3.42
tsYucDTA3nc
tsYucDTA3nc_735.11_737.41
735.11
737.41
2.3
tsYucDTA3nc
tsYucDTA3nc_737.73_740.70
737.73
740.7
2.972
tsYucDTA3nc
tsYucDTA3nc_741.03_743.39
741.03
743.39
2.364
tsYucDTA3nc
tsYucDTA3nc_743.68_752.77
743.68
752.77
9.084
tsYucDTA3nc
tsYucDTA3nc_753.25_756.06
753.25
756.06
2.812
tsYucDTA3nc
tsYucDTA3nc_756.71_759.07
756.71
759.07
2.364
tsYucDTA3nc
tsYucDTA3nc_759.33_762.27
759.33
762.27
2.94
tsYucDTA3nc
tsYucDTA3nc_762.66_765.73
762.66
765.73
3.068
tsYucDTA3nc
tsYucDTA3nc_765.99_767.17
765.99
767.17
1.18
tsYucDTA3nc
tsYucDTA3nc_767.49_769.34
767.49
769.34
1.852
tsYucDTA3nc
tsYucDTA3nc_770.75_773.66
770.75
773.66
2.908
tsYucDTA3nc
tsYucDTA3nc_776.74_779.61
776.74
779.61
2.876
tsYucDTA3nc
End of preview. Expand in Data Studio

Ara-Best-RQ Dataset

Dataset Summary

This dataset provides metadata only for a dialectal Arabic speech corpus constructed from publicly available YouTube videos.
It consists exclusively of YouTube video identifiers and audio segment boundaries (start/end timestamps) designed for self-supervised speech representation learning.

No audio or video content is distributed as part of this dataset.


Dataset Statistics

  • Total spoken duration: 5,639 h 04 min 27 s
  • Number of videos: 41,826
  • Number of speech segments: 3,860,419

Supported Tasks

  • Self-supervised speech representation learning
  • Speech segmentation
  • Arabic speech and dialect research

Languages

  • Arabic (ar)

Dataset Structure

Each entry includes:

  • A YouTube video identifier
  • Segment start time (seconds)
  • Segment end time (seconds)

Users are expected to retrieve the referenced media themselves and extract the corresponding audio segments.


Licensing Information

Metadata License

All metadata (video identifiers and segment boundaries) is released under:

Creative Commons Attribution 4.0 International (CC BY 4.0)

This license applies only to the metadata provided in this dataset.

Referenced Media

The referenced audio/video content:

  • Is not distributed
  • Remains hosted on YouTube
  • Is subject to the original license selected by the content uploader

Users are responsible for ensuring compliance with the original content licenses and YouTube’s Terms of Service.


Citation

If you use this dataset, please cite the following paper:

Ara-Best-RQ: Multi Dialectal Arabic SSL
Haroun Elleuch, Ryan Whetten, Salima Mdhaffar, Yannick Estève, Fethi Bougares
Accepted at ICASSP 2026

A BibTeX entry will be provided once the proceedings are published.


Ethical Considerations

  • This dataset references only publicly available content
  • No personally identifying information is added or inferred
  • No attempt is made to identify speakers

Limitations

  • Some referenced videos may become unavailable over time
  • Audio quality and recording conditions vary
  • Licensing information for individual videos is not exhaustively archived

Contact

For questions, corrections, or takedown requests, please contact the dataset maintainer via the Hugging Face repository.

Downloads last month
6