Datasets:
Matrix430
/
CONDA

Dataset card Data Studio Files Community
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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 2 missing columns ({'intentClass', 'slotClasses'})

This happened while the csv dataset builder was generating data using

hf://datasets/Matrix430/CONDA/test.csv (at revision 31f2cdc6bff5ad6def58e07d3c3549dc393bc086)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Id: int64
              utterance: string
              tokenized: string
              matchId: int64
              conversationId: int64
              chatTime: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 948
              to
              {'Id': Value(dtype='int64', id=None), 'utterance': Value(dtype='string', id=None), 'tokenized': Value(dtype='string', id=None), 'intentClass': Value(dtype='string', id=None), 'slotClasses': Value(dtype='string', id=None), 'matchId': Value(dtype='int64', id=None), 'conversationId': Value(dtype='int64', id=None), 'chatTime': Value(dtype='int64', 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 2 missing columns ({'intentClass', 'slotClasses'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Matrix430/CONDA/test.csv (at revision 31f2cdc6bff5ad6def58e07d3c3549dc393bc086)
              
              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.

Id
int64
utterance
string
tokenized
string
intentClass
string
slotClasses
string
matchId
int64
conversationId
int64
chatTime
int64
11,263
wow!
wow
O
O
697
3,193
76
13,741
WTF
WTF
O
T
843
3,809
1,563
22,125
wpe wpe
wpe wpe
O
O O
1,412
6,199
2,853
6,453
hahaha
hahaha
O
O
439
1,875
1,038
9,644
wtf
wtf
O
T
601
2,713
1,661
6,208
i cant [SEPA] play [SEPA] with 4 trash
i cant [SEPA] play [SEPA] with 4 trash
E
P O SEPA O SEPA O O O
433
1,836
1,674
38,968
bg
bg
O
O
2,572
10,979
2,875
3,213
=) [SEPA] ty
#ERROR!
O
O
240
999
1,797
44,326
gg [SEPA] report my team rat [SEPA] please
gg [SEPA] report my team rat [SEPA] please
A
S SEPA S P O S SEPA O
3,001
12,737
2,602
30,888
ez mid
ez mid
I
S S
2,020
8,676
3,044
4,993
hahah
hahah
O
O
343
1,469
2,000
5,736
my arrows [SEPA] always decent [SEPA] fuck u
my arrows [SEPA] always decent [SEPA] fuck u
E
P O SEPA O O SEPA T P
408
1,717
1,955
33,772
gh
gh
O
O
2,229
9,529
1,071
37,524
always engage at bot, lc cant takle bot then top
always engage at bot lc cant takle bot then top
O
O O O S D O O S O S
2,464
10,554
1,165
36,088
cmon
cmon
O
O
2,366
10,203
2,833
33,901
the comeback is real. :)
the comeback is real :)
O
O O O O O
2,236
9,556
2,207
21,047
him mid vs me
him mid vs me
O
P S O P
1,336
5,855
2,572
43,817
just end [SEPA] i wan nex game
just end [SEPA] i wan nex game
O
O O SEPA P O O O
2,961
12,556
2,617
36,694
g?
g
A
O
2,411
10,330
-68
44,212
he is not losing
he is not losing
O
P O O O
2,994
12,700
2,001
43,049
Pls report sb thanks
Pls report sb thanks
A
O S C O
2,900
12,271
864
39,334
omg
omg
O
O
2,617
11,133
2,605
10,429
ggwp
ggwp
O
S
654
2,960
3,772
1,874
WP cap
WP cap
O
S O
149
613
2,208
14,416
lo [SEPA] lol
lo [SEPA] lol
O
O SEPA O
878
3,972
-6
8,653
fuyckjerfe
fuyckjerfe
E
O
532
2,399
1,057
34,988
gg noob mid invoker
gg noob mid invoker
E
S T S C
2,314
9,898
989
7,644
i mean not everyone on ur team is dumb enough to rot down to 20% hp
i mean not everyone on ur team is dumb enough to rot down to 2 hp
E
P O O P O P O O T P O D O O O O
491
2,154
706
32,480
8 7?
8
O
O
2,126
9,121
2,755
33,025
it just random
it just random
O
P O O
2,173
9,307
1,434
650
:/
:/
O
O
59
222
1,726
30,513
u dead [SEPA] .i.
u dead [SEPA] i
O
P T SEPA P
1,986
8,555
1,588
35,218
he just keeps charhing [SEPA] since spectre comited ult [SEPA] so did I :D [SEPA] i thought they will go for more blood [SEPA] but whatever
he just keeps charhing [SEPA] since spectre comited ult [SEPA] so did I :D [SEPA] i thought they will go for more blood [SEPA] but whatever
O
P O O O SEPA O C O S SEPA O O P O SEPA P O P O S O O S SEPA O P
2,324
9,954
2,096
7,740
me too
me too
O
P O
493
2,168
2,165
27,300
gg ty for mmr
gg ty for mmr
O
S O O D
1,760
7,635
1,758
34,870
gg
gg
O
S
2,307
9,851
1,898
34,322
you know you can take the mana thing out of the mana boots
you know you can take the mana thing out of the mana boots
O
P O P O S O S O O O O S D
2,270
9,692
1,984
24,708
u gave me free farm [SEPA] u could kill me 100 times
u gave me free farm [SEPA] u could kill me 100 times
O
P O P O S SEPA P O O P O O
1,579
6,939
1,562
21,208
wp [SEPA] legoin report
wp [SEPA] legoin report
A
S SEPA O S
1,348
5,900
5,448
37,184
WP m8 [SEPA] nice game but too many shit talk [SEPA] thx sea [SEPA] too many cancer talktalktalk
WP m8 [SEPA] nice game but too many shit talk [SEPA] thx sea [SEPA] too many cancer talktalktalk
O
S O SEPA O O O O P T O SEPA O O SEPA O P S O
2,443
10,453
2,740
14,480
SHIT
SHIT
E
T
881
3,989
1,776
7,000
talking to my boy alch
talking to my boy alch
O
O O P O C
462
2,005
1,764
13,589
TIME FOR A BIT OF RO SHAM BO
TIME FOR A BIT OF RO SHAM BO
O
O O O O O O O O
833
3,767
1,356
42,883
COMEND DOOM IN LEGION
COMEND DOOM IN LEGION
A
O C O C
2,888
12,219
1,630
17,055
greedy
greedy
O
O
1,050
4,719
609
22,468
dont def [SEPA] noob team
dont def [SEPA] noob team
E
O O SEPA T O
1,428
6,291
2,134
42,423
gg
gg
O
S
2,855
12,072
1,568
24,740
spectre isnt meant to win the lane
spectre isnt meant to win the lane
O
C O O O O O S
1,580
6,947
3,685
257
shit [SEPA] SHIT [SEPA] SHIT [SEPA] SHITTT! :)
shit [SEPA] SHIT [SEPA] SHIT [SEPA] SHITTT :)
E
T SEPA T SEPA T SEPA O O
29
105
2,926
18,966
sad bs
sad bs
O
O S
1,178
5,283
1,916
3,045
ez
ez
I
S
227
956
2,542
11,994
T T QOP
T T QOP
O
O O C
749
3,427
-59
20,971
you guys win this fag went mid [SEPA] so fucking bad mid
you guys win this fag went mid [SEPA] so fucking bad mid
E
P P O P T O S SEPA O T O S
1,331
5,833
2,132
34,245
Alche and lycan
Alche and lycan
O
C O C
2,262
9,652
2,062
33,681
Rip
Rip
O
O
2,226
9,524
827
34,563
singing siren ,dancing jugg
singing siren dancing jugg
O
O O O C
2,284
9,756
1,645
27,700
ez game
ez game
I
S O
1,786
7,748
2,769
26,479
meeporino feederino
meeporino feederino
O
C O
1,705
7,419
1,246
1,939
ur asshole
ur asshole
E
P T
153
622
1,990
4,236
Thats all I gotta say [SEPA] Drow 2-5
Thats all I gotta say [SEPA] Drow 5
I
P P P O O SEPA C O
310
1,315
1,534
40,002
COMMEND
COMMEND
A
O
2,651
11,331
2,440
35,761
lowskill shits [SEPA] all you have to do is dive endlessly [SEPA] and this cunt silencer and invoekr [SEPA] let you win
lowskill shits [SEPA] all you have to do is dive endlessly [SEPA] and this cunt silencer and invoekr [SEPA] let you win
E
O T SEPA P P O O O O S O SEPA O P T C O C SEPA O P O
2,352
10,113
1,975
40,923
tnx for the russian team obama....could have at least nuked putin
tnx for the russian team obama could have at least nuked putin
E
O O O O O O O O O O O O
2,727
11,630
-27
2,468
wise ffs [SEPA] can youi stop inviting strangers to fuck your grandmothers' corpse ?
wise ffs [SEPA] can youi stop inviting strangers to fuck your grandmothers corpse
E
O T SEPA O O O O O O T P O O
183
761
-40
23,502
nice
nice
O
O
1,498
6,621
1,691
34,128
heng i never die
heng i never die
E
O P O O
2,257
9,621
2,237
6,531
We all randomed
We all randomed
O
P P O
441
1,891
-63
36,835
golden medal for u lc
golden medal for u lc
O
O O O P D
2,413
10,362
2,787
27,604
GG lag
GG lag
O
S O
1,780
7,715
2,105
4,223
HAHA
HAHA
O
O
310
1,312
840
37,287
btw AM nice blink into stun :D
btw AM nice blink into stun :D
O
O C O D O S O
2,453
10,485
758
39,369
who care [SEPA] ?
who care [SEPA]
O
P S SEPA
2,621
11,145
615
14,315
emergency plan sry
emergency plan sry
O
O O O
875
3,946
37
17,067
i want slardar getting strong
i want slardar getting strong
O
P O C O O
1,050
4,722
1,014
41,937
ahahaha
ahahaha
O
O
2,801
11,903
954
41,525
ez tho
ez tho
I
S O
2,764
11,769
2,075
7,472
i know your feeling bro
i know your feeling bro
O
P O P O P
484
2,121
2,548
23,927
whos your daddy
whos your daddy
O
O P O
1,526
6,742
1,316
15,476
stunning
stunning
O
O
951
4,261
3,010
37,103
5 man doto
5 man doto
O
O P O
2,436
10,436
2,080
34,107
gg wp [SEPA] Sry for my feed
gg wp [SEPA] Sry for my feed
O
S S SEPA O O P D
2,256
9,616
2,056
5,094
dnt play storm
dnt play storm
I
O O C
348
1,488
2,400
13,915
^LOL
LOL
O
O
852
3,863
2,130
15,986
this couldn't be won
this could not be won
O
P O O O O
988
4,399
2,015
42,866
gg wp
gg wp
O
S S
2,887
12,210
3,914
14,307
weaver mid dont worry
weaver mid dont worry
O
C S O O
875
3,946
-36
25,624
trone
trone
O
S
1,643
7,190
1,978
10,631
./. [SEPA] bm?
[SEPA] bm
O
SEPA C
662
2,994
1,238
3,620
gj guys...
gj guys
O
S P
271
1,107
3,139
12,706
gg wp
gg wp
O
S S
781
3,569
4,119
36,155
Ty
Ty
O
O
2,373
10,227
2,166
43,310
so ez [SEPA] ahahaha
so ez [SEPA] ahahaha
I
O S SEPA O
2,919
12,371
1,599
28,846
hahahai
hahahai
O
O
1,859
8,065
453
27,595
and blame us
and blame us
O
O O P
1,780
7,710
1,123
37,630
YEAAHHHHHHHHH [SEPA] GGGGGGGGGGGG
YEAAHHHHHHHHH [SEPA] GGGGGGGGGGGG
O
O SEPA S
2,470
10,588
3,173
39,425
EZ
EZ
I
S
2,624
11,160
716
26,080
aw
aw
O
O
1,669
7,269
136
32,889
and telling im too much of a solo player
and telling im too much of a solo player
O
O O O O O O O S O
2,161
9,260
2,383
43,288
He's never picked in pubs, and the only bracket he has over 50% win rate is 'very high skill' on asian servers. [SEPA] So shut up and pick something fun. [SEPA] You cucks.
He s never picked in pubs and the only bracket he has over 5 win rate is very high skill on asian servers [SEPA] So shut up and pick something fun [SEPA] You cucks
E
P O O O O O O O O O P O O O O O O O O S O O O SEPA O O O O O P O SEPA P O
2,919
12,369
1,015
38,667
2v5 game
2v5 game
O
O O
2,540
10,886
2,572
End of preview.