Hugging Face's logo

Datasets:
bmmv-9x2q7
/
ced-runtime-assets

Modalities:
Text
Formats:
csv
Size:
< 1K
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
Auto-converted to Parquet Duplicate
index
int64
0
526
mid
stringlengths
7
11
display_name
stringlengths
3
40
0
/m/09x0r
Speech
1
/m/05zppz
Male speech, man speaking
2
/m/02zsn
Female speech, woman speaking
3
/m/0ytgt
Child speech, kid speaking
4
/m/01h8n0
Conversation
5
/m/02qldy
Narration, monologue
6
/m/0261r1
Babbling
7
/m/0brhx
Speech synthesizer
8
/m/07p6fty
Shout
9
/m/07q4ntr
Bellow
10
/m/07rwj3x
Whoop
11
/m/07sr1lc
Yell
12
/m/04gy_2
Battle cry
13
/t/dd00135
Children shouting
14
/m/03qc9zr
Screaming
15
/m/02rtxlg
Whispering
16
/m/01j3sz
Laughter
17
/t/dd00001
Baby laughter
18
/m/07r660_
Giggle
19
/m/07s04w4
Snicker
20
/m/07sq110
Belly laugh
21
/m/07rgt08
Chuckle, chortle
22
/m/0463cq4
Crying, sobbing
23
/t/dd00002
Baby cry, infant cry
24
/m/07qz6j3
Whimper
25
/m/07qw_06
Wail, moan
26
/m/07plz5l
Sigh
27
/m/015lz1
Singing
28
/m/0l14jd
Choir
29
/m/01swy6
Yodeling
30
/m/02bk07
Chant
31
/m/01c194
Mantra
32
/t/dd00003
Male singing
33
/t/dd00004
Female singing
34
/t/dd00005
Child singing
35
/t/dd00006
Synthetic singing
36
/m/06bxc
Rapping
37
/m/02fxyj
Humming
38
/m/07s2xch
Groan
39
/m/07r4k75
Grunt
40
/m/01w250
Whistling
41
/m/0lyf6
Breathing
42
/m/07mzm6
Wheeze
43
/m/01d3sd
Snoring
44
/m/07s0dtb
Gasp
45
/m/07pyy8b
Pant
46
/m/07q0yl5
Snort
47
/m/01b_21
Cough
48
/m/0dl9sf8
Throat clearing
49
/m/01hsr_
Sneeze
50
/m/07ppn3j
Sniff
51
/m/06h7j
Run
52
/m/07qv_x_
Shuffle
53
/m/07pbtc8
Walk, footsteps
54
/m/03cczk
Chewing, mastication
55
/m/07pdhp0
Biting
56
/m/0939n_
Gargling
57
/m/01g90h
Stomach rumble
58
/m/03q5_w
Burping, eructation
59
/m/02p3nc
Hiccup
60
/m/02_nn
Fart
61
/m/0k65p
Hands
62
/m/025_jnm
Finger snapping
63
/m/0l15bq
Clapping
64
/m/01jg02
Heart sounds, heartbeat
65
/m/01jg1z
Heart murmur
66
/m/053hz1
Cheering
67
/m/028ght
Applause
68
/m/07rkbfh
Chatter
69
/m/03qtwd
Crowd
70
/m/07qfr4h
Hubbub, speech noise, speech babble
71
/t/dd00013
Children playing
72
/m/0jbk
Animal
73
/m/068hy
Domestic animals, pets
74
/m/0bt9lr
Dog
75
/m/05tny_
Bark
76
/m/07r_k2n
Yip
77
/m/07qf0zm
Howl
78
/m/07rc7d9
Bow-wow
79
/m/0ghcn6
Growling
80
/t/dd00136
Whimper (dog)
81
/m/01yrx
Cat
82
/m/02yds9
Purr
83
/m/07qrkrw
Meow
84
/m/07rjwbb
Hiss
85
/m/07r81j2
Caterwaul
86
/m/0ch8v
Livestock, farm animals, working animals
87
/m/03k3r
Horse
88
/m/07rv9rh
Clip-clop
89
/m/07q5rw0
Neigh, whinny
90
/m/01xq0k1
Cattle, bovinae
91
/m/07rpkh9
Moo
92
/m/0239kh
Cowbell
93
/m/068zj
Pig
94
/t/dd00018
Oink
95
/m/03fwl
Goat
96
/m/07q0h5t
Bleat
97
/m/07bgp
Sheep
98
/m/025rv6n
Fowl
99
/m/09b5t
Chicken, rooster
End of preview. Expand in Data Studio

CED offline runtime assets

Exact support files for offline loading of mispeech/ced-small@06bb40c5ec089e96867ebc5246be02441f4a71e4.

  • topel_ConvNeXt-Tiny-AT/e3eaf4c49769f034942da9062d0fee436657560b/class_labels_indices.csv is the unchanged MIT-licensed public file from topel/ConvNeXt-Tiny-AT@e3eaf4c49769f034942da9062d0fee436657560b.
  • mispeech_ced-small/06bb40c5ec089e96867ebc5246be02441f4a71e4/configuration_ced.offline.py is an Apache-2.0-derived offline variant. It skips the unnecessary runtime cached_file() lookup when the pinned CED config.json already contains id2label. Set CED_LABELS_PATH to the downloaded CSV when exact upstream display labels are required. Default bookkeeping configs receive deterministic placeholder labels, so PretrainedConfig.to_diff_dict() also performs no network I/O.

The offline variant was tested with an empty HF_HOME, HF_HUB_OFFLINE=1, TRANSFORMERS_OFFLINE=1, and local_files_only=True. Its model state and encoder output were bit-identical to the unmodified thor2 runtime on a fixed input.
Downloads last month
48
Number of rows:
527
Total file size:
24.5 kB