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 43 new columns ({'NoTargetRecorded', 'working', 'indig', 'african', 'immig', 'jew', 'old', 'trav', 'trans', 'hitler', 'arab', 'hispanic', 'muswom', 'ethnic minority', 'ref', 'nazi', 'east', 'south', 'non-white', 'pak', 'none', 'gaywom', 'chinese', 'gayman', 'other', 'mixed', 'asiwom', 'mus', 'gendermin', 'blawom', 'blaman', 'for', 'wom', 'pol', 'eastern european', 'indigwom', 'gay', 'dis', 'asi', 'asylum', 'bla', 'bis', 'russian'}) and 10 missing columns ({'split', 'status', 'label', 'annotator', 'Unnamed: 0', 'text', 'model_wrong', 'db.model_preds', 'round', 'type'}).

This happened while the csv dataset builder was generating data using

hf://datasets/sophieb/dynamically_generated_hate_speech_dataset/2020-12-31-DynamicallyGeneratedHateDataset-targets-v0.1.csv (at revision eebfc857e775f10513dd739c355e326937d58de9)

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: string
              none: int64
              dis: int64
              bla: int64
              trav: int64
              jew: int64
              mus: int64
              trans: int64
              indig: int64
              immig: int64
              for: int64
              blaman: int64
              gayman: int64
              east: int64
              south: int64
              mixed: int64
              gendermin: int64
              gay: int64
              gaywom: int64
              arab: int64
              wom: int64
              chinese: int64
              ref: int64
              asylum: int64
              blawom: int64
              asiwom: int64
              muswom: int64
              non-white: int64
              hispanic: int64
              bis: int64
              ethnic minority: int64
              nazi: int64
              asi: int64
              pak: int64
              pol: int64
              eastern european: int64
              working: int64
              african: int64
              russian: int64
              indigwom: int64
              old: int64
              hitler: int64
              NoTargetRecorded: int64
              other: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5030
              to
              {'Unnamed: 0': Value(dtype='int64', id=None), 'id': Value(dtype='string', id=None), 'text': Value(dtype='string', id=None), 'label': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'model_wrong': Value(dtype='bool', id=None), 'db.model_preds': Value(dtype='float64', id=None), 'status': Value(dtype='string', id=None), 'round': Value(dtype='string', id=None), 'split': Value(dtype='string', id=None), 'annotator': 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 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 43 new columns ({'NoTargetRecorded', 'working', 'indig', 'african', 'immig', 'jew', 'old', 'trav', 'trans', 'hitler', 'arab', 'hispanic', 'muswom', 'ethnic minority', 'ref', 'nazi', 'east', 'south', 'non-white', 'pak', 'none', 'gaywom', 'chinese', 'gayman', 'other', 'mixed', 'asiwom', 'mus', 'gendermin', 'blawom', 'blaman', 'for', 'wom', 'pol', 'eastern european', 'indigwom', 'gay', 'dis', 'asi', 'asylum', 'bla', 'bis', 'russian'}) and 10 missing columns ({'split', 'status', 'label', 'annotator', 'Unnamed: 0', 'text', 'model_wrong', 'db.model_preds', 'round', 'type'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/sophieb/dynamically_generated_hate_speech_dataset/2020-12-31-DynamicallyGeneratedHateDataset-targets-v0.1.csv (at revision eebfc857e775f10513dd739c355e326937d58de9)
              
              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? Open a discussion for direct support.

Unnamed: 0
int64
id
string
text
string
label
string
type
string
model_wrong
bool
db.model_preds
float64
status
string
round
string
split
string
annotator
string
1
10000
It should be legal for a husband to rape his wife
hate
notgiven
true
0.97457
dynabench entry
1
train
gnzuctwed3
2
10001
dalits are lowlife scum
hate
notgiven
false
0.08233
dynabench entry
1
test
cagnluiznm
3
10002
dalits are lowlives
hate
notgiven
true
0.92319
dynabench entry
1
train
cagnluiznm
4
10003
It was a better world when women dare not question men
hate
notgiven
true
0.99006
dynabench entry
1
test
gnzuctwed3
5
10004
I don't work this hard so that those immigrants can take all the benefits
hate
notgiven
true
0.98836
dynabench entry
1
train
cagnluiznm
6
10005
I don't work this hard so that those migrants can take all the benefits
hate
notgiven
true
0.99506
dynabench entry
1
train
cagnluiznm
7
10006
I don't work this hard so that those foreigners can take all the benefits
hate
notgiven
true
0.9934
dynabench entry
1
train
cagnluiznm
8
10007
I don't work this hard so that those Hispanics can take all the benefits
hate
notgiven
true
0.98625
dynabench entry
1
train
cagnluiznm
9
10008
I don't work this hard so that those chavs can take all the benefits
hate
notgiven
true
0.95252
dynabench entry
1
test
cagnluiznm
10
10009
I don't work this hard so that all those pakis can take the benefits
hate
notgiven
false
0.09288
dynabench entry
1
train
cagnluiznm
11
10010
I don't work this hard so that all those muslims can take the benefits
hate
notgiven
false
0.46144
dynabench entry
1
train
cagnluiznm
12
10012
foreigners are a burden to our society
hate
notgiven
true
0.98753
dynabench entry
1
train
cagnluiznm
13
10013
immigrants are a burden to our society
hate
notgiven
true
0.98971
dynabench entry
1
train
cagnluiznm
14
10014
women are a burden to our society
hate
notgiven
true
0.9814
dynabench entry
1
dev
cagnluiznm
15
10015
gay people are a burden to our society
hate
notgiven
true
0.53936
dynabench entry
1
train
cagnluiznm
16
10016
gay people are a burden on our society
hate
notgiven
true
0.8682
dynabench entry
1
train
cagnluiznm
17
10017
Why is it that foreigners smell weird? Do they not wash?
hate
notgiven
true
0.89113
dynabench entry
1
train
cagnluiznm
18
10018
Why is it that french people smell weird? Do they not wash?
hate
notgiven
true
0.96767
dynabench entry
1
train
cagnluiznm
19
10019
Why is it that white people smell weird? Do they not wash?
hate
notgiven
true
0.92169
dynabench entry
1
train
cagnluiznm
20
10020
Why is it that asian people smell weird? Do they not wash?
hate
notgiven
true
0.92405
dynabench entry
1
train
cagnluiznm
21
10021
Why is it that black people smell weird? Do they not wash?
hate
notgiven
true
0.83432
dynabench entry
1
train
cagnluiznm
22
10022
Why is it that Africans smell weird? Do they not wash?
hate
notgiven
false
0.37971
dynabench entry
1
train
cagnluiznm
23
10023
Why is it that African people smell weird? Do they not wash?
hate
notgiven
true
0.56723
dynabench entry
1
dev
cagnluiznm
24
10024
Why is it that whites smell weird? Do they not wash?
hate
notgiven
true
0.91835
dynabench entry
1
train
cagnluiznm
25
10025
Why is it that dikes smell weird? Do they not wash?
hate
notgiven
true
0.80692
dynabench entry
1
train
cagnluiznm
26
10026
Why is it that welsh people smell weird? Do they not wash?
hate
notgiven
true
0.96381
dynabench entry
1
train
cagnluiznm
27
10027
I dont hate hindus
nothate
none
false
0.97793
dynabench entry
1
train
vde7gn0nrl
28
10028
I dont hate Muslims
nothate
none
false
0.98672
dynabench entry
1
train
vde7gn0nrl
29
10029
I dont hatefucking Islam
nothate
none
true
0.05814
dynabench entry
1
train
vde7gn0nrl
30
10030
I dont hate fucking Muslims
nothate
none
true
0.00707
dynabench entry
1
train
vde7gn0nrl
31
10031
The world full of women is unfair
nothate
none
false
0.98859
dynabench entry
1
train
vde7gn0nrl
32
10032
Government is incompetent
nothate
none
true
0.06605
dynabench entry
1
train
vde7gn0nrl
33
10033
short people are somehow not smart
nothate
none
false
0.99206
dynabench entry
1
train
vde7gn0nrl
34
10034
short people are smart to some extent
nothate
none
false
0.99844
dynabench entry
1
train
vde7gn0nrl
35
10035
short people are damn smart
nothate
none
false
0.99303
dynabench entry
1
train
vde7gn0nrl
36
10037
short women are fucking cute
nothate
none
true
0.39223
dynabench entry
1
dev
vde7gn0nrl
37
10038
short men are fucking weird
nothate
none
false
0.92885
dynabench entry
1
train
vde7gn0nrl
38
10039
tall men are intelligent
nothate
none
false
0.99438
dynabench entry
1
train
vde7gn0nrl
39
10040
disabled people are stupid
nothate
none
true
0.09295
dynabench entry
1
train
vde7gn0nrl
40
10041
kids are dumb
nothate
none
false
0.93163
dynabench entry
1
train
vde7gn0nrl
41
10042
pear is not tasty
nothate
none
false
0.99483
dynabench entry
1
train
vde7gn0nrl
42
10043
blonde ladies are fuc''ing smart
nothate
none
true
0.01191
dynabench entry
1
test
vde7gn0nrl
43
10044
blonde people are not smart
nothate
none
false
0.83987
dynabench entry
1
train
vde7gn0nrl
44
10045
Arabs are terrorists
nothate
none
true
0.11515
dynabench entry
1
train
vde7gn0nrl
45
10046
Terrorists must be Muslims
nothate
none
false
0.89751
dynabench entry
1
train
vde7gn0nrl
46
10047
Terrorists must be Muslim rats
nothate
none
true
0.10132
dynabench entry
1
train
vde7gn0nrl
47
10048
Terrorists are always Muslim but never white
nothate
none
false
0.98106
dynabench entry
1
train
vde7gn0nrl
48
10049
Terrorists are always fucking Muslim but never white
nothate
none
true
0.0643
dynabench entry
1
test
vde7gn0nrl
49
10050
veiled women are dumb
nothate
none
true
0.31599
dynabench entry
1
train
vde7gn0nrl
50
10051
blonde people suck
nothate
none
true
0.03023
dynabench entry
1
train
vde7gn0nrl
51
10052
Blonde people are bad
nothate
none
true
0.09154
dynabench entry
1
train
vde7gn0nrl
52
10053
Blonde women are sick
nothate
none
true
0.05152
dynabench entry
1
train
vde7gn0nrl
53
10054
Blonde men are sick
nothate
none
true
0.05893
dynabench entry
1
train
vde7gn0nrl
54
10056
immigrants are like animals , they dont belong to this world
nothate
none
true
0.02581
dynabench entry
1
train
vde7gn0nrl
55
10057
Indian people are not smart
nothate
none
false
0.94961
dynabench entry
1
test
vde7gn0nrl
56
10058
Indian people smell like spices
nothate
none
false
0.95928
dynabench entry
1
train
vde7gn0nrl
57
10059
Indian people smell like fucking spices
nothate
none
true
0.02098
dynabench entry
1
dev
vde7gn0nrl
58
10061
Lesbians suck and i dont know how to could accept themselves
nothate
none
true
0.03327
dynabench entry
1
train
vde7gn0nrl
59
10062
fat women are stupid
nothate
none
true
0.25338
dynabench entry
1
train
vde7gn0nrl
60
10063
gay people need medical treatment
nothate
none
false
0.97913
dynabench entry
1
train
vde7gn0nrl
61
10064
gay people should seek fucking medical help
nothate
none
true
0.07169
dynabench entry
1
train
vde7gn0nrl
62
10065
Arabs are dumb
hate
notgiven
false
0.13062
dynabench entry
1
train
vde7gn0nrl
63
10066
Be quiet, you silly little girl
hate
notgiven
false
0.01665
dynabench entry
1
dev
gnzuctwed3
64
10067
You throw like a girl
hate
notgiven
true
0.95625
dynabench entry
1
train
gnzuctwed3
65
10068
He throws like a girl
hate
notgiven
true
0.96309
dynabench entry
1
test
gnzuctwed3
66
10069
Women can't throw
hate
notgiven
true
0.92486
dynabench entry
1
dev
gnzuctwed3
67
10071
Girls can't play football
hate
notgiven
true
0.97307
dynabench entry
1
train
gnzuctwed3
68
10072
Women shouldn't even try to play football
hate
notgiven
true
0.97946
dynabench entry
1
train
gnzuctwed3
69
10073
Football is a man's game
hate
notgiven
true
0.99864
dynabench entry
1
train
gnzuctwed3
70
10074
She's almost as good as a man
hate
notgiven
true
0.99642
dynabench entry
1
dev
gnzuctwed3
71
10075
She's not as good as a man
hate
notgiven
true
0.96963
dynabench entry
1
test
gnzuctwed3
73
10076
Women aren't as good as men
hate
notgiven
true
0.98117
dynabench entry
1
train
gnzuctwed3
74
10078
She's not as good as a man
hate
notgiven
true
0.96963
dynabench entry
1
test
gnzuctwed3
76
10079
Women will never be as good as men
hate
notgiven
true
0.9836
dynabench entry
1
train
gnzuctwed3
77
10080
Women should stick to the things they're good at, mainly domestic chores
hate
notgiven
true
0.98553
dynabench entry
1
train
gnzuctwed3
78
10081
Women never stop talking
hate
notgiven
true
0.9873
dynabench entry
1
train
gnzuctwed3
79
10082
Women talk too much
hate
notgiven
true
0.99248
dynabench entry
1
train
gnzuctwed3
80
10083
Women never shut up
hate
notgiven
true
0.96549
dynabench entry
1
dev
gnzuctwed3
81
10085
Kids get set the wrong example when their mum goes out to work
hate
notgiven
true
0.97831
dynabench entry
1
train
gnzuctwed3
82
10086
If she's going to go to work why bother having children?
hate
notgiven
true
0.99527
dynabench entry
1
train
gnzuctwed3
83
10087
Ban working mums
hate
notgiven
true
0.99654
dynabench entry
1
train
gnzuctwed3
84
10088
Ban women from the workplace
hate
notgiven
true
0.98961
dynabench entry
1
test
gnzuctwed3
85
10089
Get women out of the workplace
hate
notgiven
true
0.99495
dynabench entry
1
dev
gnzuctwed3
86
10091
Men should leave the childcare to women and focus on more important things
hate
notgiven
true
0.99772
dynabench entry
1
train
gnzuctwed3
87
10092
Men are too important to do childcare, its a womans job
hate
notgiven
true
0.98166
dynabench entry
1
train
gnzuctwed3
88
10099
It's women's job to raise kids, it's all theyre good for
hate
notgiven
true
0.99535
dynabench entry
1
train
gnzuctwed3
89
10100
Women shouldn't even pretend to like sport
hate
notgiven
true
0.98915
dynabench entry
1
train
gnzuctwed3
90
10102
Men who cry make me sick
hate
notgiven
true
0.95944
dynabench entry
1
train
gnzuctwed3
91
10103
Only gay men cry
hate
notgiven
true
0.80637
dynabench entry
1
train
gnzuctwed3
92
10104
Gay men are such crybabies
hate
notgiven
false
0.05585
dynabench entry
1
test
gnzuctwed3
93
10105
Women are so oversensitive
hate
notgiven
true
0.76339
dynabench entry
1
test
gnzuctwed3
94
10106
His parents must have done something wrong or he wouldn't be disabled
hate
notgiven
true
0.98421
dynabench entry
1
train
gnzuctwed3
95
10107
It's the parents fault they were born crippled
hate
notgiven
true
0.62433
dynabench entry
1
dev
gnzuctwed3
96
10108
I wouldn't spend my life looking after a cripple child, what a waste of time
hate
notgiven
true
0.99224
dynabench entry
1
train
gnzuctwed3
97
10135
my meal was fucking disgusting at pizza express tonight
nothate
none
true
0.02047
dynabench entry
1
train
tbubpfn6ip
98
10136
my meal was fucking disgusting
nothate
none
true
0.014
dynabench entry
1
train
tbubpfn6ip
99
10138
racism is fucking disgusting
nothate
none
true
0.02175
dynabench entry
1
train
tbubpfn6ip
100
10139
smoking is fucking disgusting
nothate
none
true
0.02719
dynabench entry
1
test
tbubpfn6ip
101
10142
drinking is fucking disgusting
nothate
none
true
0.01161
dynabench entry
1
train
tbubpfn6ip
102
10143
protesting is fucking disgusting
nothate
none
true
0.02201
dynabench entry
1
dev
tbubpfn6ip
End of preview.