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? Make sure to review how to configure the dataset viewer, and 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.
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.