The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'augmentation id', 'Augmentation type', 'File ID', 'Classname', 'source', 'Duration in ms', 'Class ID', 'Filename'}) and 4 missing columns ({'start_time', 'audiocap_id', 'youtube_id', 'caption'}).
This happened while the csv dataset builder was generating data using
hf://datasets/gijs/audio-datasets/NonSpeech7k/train.csv (at revision cf2b5b79efac903d72c606e60724656a3356cba2)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Filename: string
File ID: string
Duration in ms: int64
Class ID: int64
Classname: string
augmentation id: int64
Augmentation type: string
source: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1225
to
{'audiocap_id': Value(dtype='int64', id=None), 'youtube_id': Value(dtype='string', id=None), 'start_time': Value(dtype='int64', id=None), 'caption': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'augmentation id', 'Augmentation type', 'File ID', 'Classname', 'source', 'Duration in ms', 'Class ID', 'Filename'}) and 4 missing columns ({'start_time', 'audiocap_id', 'youtube_id', 'caption'}).
This happened while the csv dataset builder was generating data using
hf://datasets/gijs/audio-datasets/NonSpeech7k/train.csv (at revision cf2b5b79efac903d72c606e60724656a3356cba2)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
audiocap_id
int64 | youtube_id
string | start_time
int64 | caption
string |
|---|---|---|---|
91,139
|
r1nicOVtvkQ
| 130
|
A woman talks nearby as water pours
|
58,146
|
UDGBjjwyaqE
| 20
|
Multiple clanging and clanking sounds
|
11,542
|
3eJ9RynJzP8
| 80
|
The wind is blowing, insects are singing, and rustling occurs
|
11,543
|
3eK62q7SnVU
| 390
|
The wind is blowing and rustling occurs
|
11,540
|
3eGXNIadwGk
| 30
|
Person is whistling
|
11,541
|
3eHYGSux1Ps
| 30
|
A motorboat cruises along, and a man talks
|
11,546
|
3eNWJ4Hle6Y
| 210
|
The sizzling of food while a dish is clanking
|
11,547
|
3eQYsDrfsTc
| 20
|
Someone has a hiccup while typing
|
11,544
|
3eL37ZUN5S4
| 21
|
Aircraft engine hum with man and woman speaking
|
11,545
|
3eN7ujFJzXQ
| 170
|
Hissing followed by clanking dishes and speech
|
89,378
|
pgeooj3u3CM
| 200
|
A woman is talking the whole time something is sprayed a few times in the middle
|
89,379
|
pgl_pG7j7d8
| 170
|
A man talks nearby as water pours out of a faucet
|
11,548
|
3eSIVCoTR2I
| 210
|
Crackling noise precedes a fly buzzing
|
11,549
|
3eZrNSkyUmA
| 30
|
A dog whimpers quietly
|
5,988
|
1OIVJfQTGVk
| 30
|
Engine revving loudly
|
5,989
|
1OIm8vLHCwo
| 19
|
An adult female speaks and a cat meows
|
19,399
|
77gagnj481E
| 30
|
Child giving a speech and crowd clapping
|
19,398
|
77fnehVF7wE
| 1
|
A dog barks twice and then whimpers
|
5,982
|
1O662rM-u0E
| 30
|
A whoosh sound is heard loudly as a car revs its engines
|
5,983
|
1O7-QuhweZE
| 19
|
Children screaming in the background as the sound of water flowing by
|
5,980
|
1O2vHreD6eI
| 60
|
A motor vehicle engine is running, a decelerating buzzing occurs, mechanical whines occur, and the motor vehicle engine accelerates
|
5,981
|
1O5u-mBU2JI
| 30
|
A man speaking in a foreign language, can hear doves in the background
|
5,986
|
1OCyUeuv2-Q
| 40
|
Men speaking then sneezing
|
5,987
|
1OI6GPNHhLg
| 30
|
A man speaks slowly and with strength
|
5,984
|
1OB2TC-aAqY
| 30
|
A horse galloping
|
5,985
|
1OCv1wCGK-s
| 30
|
A child screams, an adult male is talking and vehicles are revving
|
82,441
|
kZ7_b_VVumc
| 140
|
Splashing water with children speaking
|
97,479
|
vvbK4KaEOTc
| 30
|
Humming of an engine accelerating and revving
|
49,688
|
OWhT0Gs-_q8
| 30
|
Several explosions burst nearby as people grunt loudly
|
83,899
|
ld9qe2J9Huk
| 80
|
Someone snores briefly
|
88,395
|
oy2b5i_4-20
| 0
|
A woman talking and then a cat meowing
|
31,736
|
DJVEiFFUB6g
| 250
|
A woman talks while frying something
|
88,391
|
oxs8A0Cdwwc
| 30
|
Crashing waves and a gust of wind
|
46,139
|
MDoHzN4CYYg
| 11
|
Humming and vibrating of a motor
|
82,996
|
kxZQJiOLSqE
| 20
|
Honking of a horn of a passing train
|
82,999
|
kxirwP8Idn0
| 20
|
A man speaks then coughs followed by laughter
|
46,131
|
MDSDhWhWfL8
| 140
|
A train running followed by a train horn
|
46,130
|
MDRJ8icmjgI
| 350
|
A domestic animal is snoring and breathing loudly
|
53,631
|
R8pcOO_A2uE
| 0
|
Someone whistles nearby
|
97,152
|
vfbOX5T8YDk
| 30
|
Steam hissing as a train runs slowly on railroad tracks as gears crank and rumble
|
28,561
|
Bals78LmH5w
| 150
|
Children speak and laugh with a man
|
54,544
|
RmJE9uVdgAk
| 23
|
A man yelling and ducks in the background
|
270
|
-5weqk40jaI
| 17
|
Strong wind against the microphone simultaneously with heavy rain.
|
19,972
|
7PFt6ML7enY
| 50
|
A child cries and yells and an adult speaks in response
|
19,971
|
7PBpJ4Uizfw
| 30
|
Several sirens are wailing and a horn is honked twice
|
273
|
-62RXhX5GZk
| 30
|
A dog grunts and an adult male speaks
|
274
|
-64ZmjOBlE8
| 20
|
Water being turned on and off
|
275
|
-65gZY_yF3o
| 17
|
Helicopter rotors drumming and squeaking bird
|
276
|
-668dhzzDQE
| 30
|
Car engine sound in car race
|
277
|
-67q0yYR0zk
| 24
|
People in a small crowd are speaking and a dog barks
|
278
|
-68677bCJWM
| 16
|
Distressed cat growling and hissing violently while woman laughs and talks
|
279
|
-68L7q5JlL4
| 30
|
Wind against a microphone on a speeding car
|
16,707
|
5sfQQb6HpSc
| 210
|
A whistle and another man speaks and the whistling stops.
|
16,706
|
5seYj-vSnEc
| 140
|
Two men exchange words, then a car engine revs followed by a siren and fade in music
|
16,701
|
5sWgFNwk5zY
| 20
|
Someone fires a gun with others talking in the background
|
16,700
|
5sTt2AMCjSA
| 30
|
A car is racing away very fast and its tires squeal a little
|
16,703
|
5sZnJLp9We4
| 2
|
A loud siren whizzes past
|
16,702
|
5sXK2pdYAwg
| 20
|
A woman hiccups and then women laugh and speak
|
88,023
|
ogXzNVUU3Xk
| 20
|
Coughing by woman and child, then woman and child speaking
|
12,019
|
3qPzSfovVmk
| 70
|
Truck engine running then a dragging noise
|
12,018
|
3qPBmioT8Fo
| 30
|
A dog is whining and whimpering, and an adult male is speaking
|
88,025
|
og_JH9cxUeg
| 30
|
Small frogs croak and chirp
|
12,015
|
3qNSaQnzWUs
| 30
|
The wind is blowing, a horse is trotting, and an adult male speaks
|
12,014
|
3qKmsP6BPXM
| 30
|
A car engine revving
|
12,017
|
3qOswVO4sb0
| 30
|
A man is speaking
|
12,016
|
3qOK68-L2cU
| 140
|
An aircraft begins its takeoff, buzzing of small engines
|
12,011
|
3qA8qMYz3Xw
| 30
|
A crowd is cheering and shouting, thumping occurs, an adult female speaks, and an adult male speaks
|
12,010
|
3q94RIeQJ9Q
| 30
|
An adult female speaks, tapping occurs, and a dog barks
|
12,013
|
3qKKDuwStA8
| 40
|
A person is speaking and crumpling paper
|
12,012
|
3qC6_t1bjjw
| 21
|
Two adult females are speaking, a dog is panting, a squeak occurs, and whistling occurs
|
17,258
|
689OVglGxKE
| 30
|
A vehicle revs then explodes while a crowd cheers and an announcer exclaims
|
17,259
|
68AJ_1alYNg
| 310
|
Man speaks while bees buzz
|
100,014
|
xpRBnXZnRm0
| 370
|
A man speaking followed by crinkling
|
64,677
|
YkWrXaJNpn4
| 320
|
A power tool hums and vibrates
|
100,012
|
xpF_Jeaj7cs
| 6
|
A man speaking followed by a swoosh then a loud splash, then a man laughs
|
64,671
|
YkQ12wpHeUc
| 0
|
Several birds tweet
|
100,010
|
xpCI-rEY1kM
| 140
|
A woman speaking with music playing and a toilet flushing
|
100,011
|
xpE3LXuhJS8
| 210
|
Vibrations and humming of a power drill
|
17,250
|
67qTV1MDXhc
| 100
|
A bell chiming
|
17,251
|
67r_mSftdjk
| 30
|
A woman giving a speech
|
17,252
|
67rvn9HIZsM
| 10
|
The chirping of multiple birds accompanies gurgling water and crunching footsteps
|
17,253
|
67tVU2CeweE
| 30
|
A domestic bird whistling
|
17,254
|
67yhKQpwvjo
| 30
|
People speak followed by spraying, then a phone rings
|
17,255
|
67zyxZb-wQM
| 340
|
A round of applause followed by a woman speaking
|
17,256
|
6813SgG-6Rk
| 8
|
A door creaks open slowly
|
17,257
|
6850oZZoeb8
| 60
|
Traffic sounds are present and ongoing, an adult male is speaking, and metal clicking occurs
|
63,024
|
XbTazhNR5Cc
| 20
|
A kid talks followed by a woman talking while several people laugh
|
10,709
|
3JNjTAf04rc
| 30
|
People are talking and pig oinks
|
10,708
|
3JLBP8VnukU
| 12
|
A dog whimpers repeatedly
|
9,258
|
2i8L8v2NTsY
| 30
|
A man gives a speech
|
9,259
|
2i8w_CZEprk
| 0
|
Water flowing, wind blowing, a dog whimpers
|
10,703
|
3JAjNVImec4
| 340
|
People cheering and race cars racing by
|
9,257
|
2i82jVZy1pk
| 100
|
Some unidentified low sound, followed by a child laughter and a female chuckling
|
10,701
|
3J9nGJ5dmsI
| 30
|
Motorcycle driving away at high speeds
|
10,700
|
3J7NzRVaixM
| 7
|
The wind is blowing, an engine runs, and tires squeal
|
9,252
|
2hyT23nJm_4
| 150
|
A female speaking, then a baby babbling, then a female cheering and clapping, followed by another female laughing and speaking
|
9,253
|
2i-sTS4rNgs
| 30
|
A big engine is sitting in idle
|
9,250
|
2hxTX4mb0bY
| 30
|
An adult male is speaking, a motor is running, rhythmic vibration, and water is gurgling
|
9,251
|
2hxyWkenHI4
| 270
|
A rapping sound is present and is echoing in a room, and people in a crowd speak in the background
|
101,352
|
yuqiS8rSp64
| 30
|
Humming and whooshing of a helicopter hovering close
|
End of preview.