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id
string
audio
dict
duration
float64
num_speakers
int64
turns
int64
rttm
string
has_cameo
bool
min_turns_per_speaker
int64
overlap_sec
float64
dmix_000_0000000
{"bytes":"UklGRmR5FwBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YUB5FwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
48.074
4
13
"SPEAKER dmix_000_0000000 1 0.515 5.040 <NA> <NA> spk2 <NA> <NA>\nSPEAKER dmix_000_0000000 1 6.138 1(...TRUNCATED)
true
1
5.66
dmix_000_0000001
{"bytes":"UklGRmTcBQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YUDcBQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
12.002
1
4
"SPEAKER dmix_000_0000001 1 0.706 2.140 <NA> <NA> spk0 <NA> <NA>\nSPEAKER dmix_000_0000001 1 2.916 2(...TRUNCATED)
false
4
0
dmix_000_0000002
{"bytes":"UklGRmJGCgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YT5GCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
21.042
1
4
"SPEAKER dmix_000_0000002 1 0.897 5.700 <NA> <NA> spk0 <NA> <NA>\nSPEAKER dmix_000_0000002 1 6.648 3(...TRUNCATED)
false
4
0
dmix_000_0000003
{"bytes":"UklGRqQNGgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YYANGgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
53.356
4
16
"SPEAKER dmix_000_0000003 1 0.651 4.760 <NA> <NA> spk2 <NA> <NA>\nSPEAKER dmix_000_0000003 1 6.007 3(...TRUNCATED)
false
4
7.78
dmix_000_0000004
{"bytes":"UklGRkSQCgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YSCQCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
21.633
1
4
"SPEAKER dmix_000_0000004 1 0.951 3.600 <NA> <NA> spk0 <NA> <NA>\nSPEAKER dmix_000_0000004 1 4.611 3(...TRUNCATED)
false
4
0
dmix_000_0000005
{"bytes":"UklGRqRDFQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YYBDFQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
43.548
3
12
"SPEAKER dmix_000_0000005 1 0.453 2.900 <NA> <NA> spk1 <NA> <NA>\nSPEAKER dmix_000_0000005 1 3.505 4(...TRUNCATED)
false
4
7.28
dmix_000_0000006
{"bytes":"UklGRsRyCQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YaByCQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
19.349
1
4
"SPEAKER dmix_000_0000006 1 0.886 5.136 <NA> <NA> spk0 <NA> <NA>\nSPEAKER dmix_000_0000006 1 6.647 3(...TRUNCATED)
false
4
0
dmix_000_0000007
{"bytes":"UklGRoT8DgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YWD8DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
30.691
3
9
"SPEAKER dmix_000_0000007 1 0.418 2.560 <NA> <NA> spk0 <NA> <NA>\nSPEAKER dmix_000_0000007 1 3.465 1(...TRUNCATED)
true
1
2.95
dmix_000_0000008
{"bytes":"UklGRoKUCABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YV6UCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
17.571
1
4
"SPEAKER dmix_000_0000008 1 0.286 4.400 <NA> <NA> spk0 <NA> <NA>\nSPEAKER dmix_000_0000008 1 5.036 3(...TRUNCATED)
false
4
0
dmix_000_0000009
{"bytes":"UklGRqRUDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YYBUDgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED)
29.348
2
8
"SPEAKER dmix_000_0000009 1 0.242 3.020 <NA> <NA> spk0 <NA> <NA>\nSPEAKER dmix_000_0000009 1 3.041 3(...TRUNCATED)
false
4
4.6
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⚠️ DEPRECATED — use v2

This dataset contains a shortcut that lets a model infer the number of speakers without listening to the audio.

Each speaker was given a fixed 4 turns, so session duration is a direct function of speaker count. Measured on this data:

1-spk  median 18.2 s   range 11.1-25.2
2-spk         30.4 s         23.0-36.6
3-spk         41.6 s         21.0-54.5
4-spk         54.6 s         38.0-73.0

The 2-speaker and 4-speaker ranges do not overlap — 2-spk tops out at 36.6 s, 4-spk starts at 40.3 s. Gradient descent will take that free signal, and it does not transfer: a real conversation's length says nothing about how many people are in the room.

v2 budgets turns per SESSION rather than per speaker, cutting the spread of medians from 36.4 s to 9.8 s with fully overlapping ranges. It also raises cameo coverage from 11% to 16.4%.

Kept for reproducibility and comparison. Do not train on it.

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