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rnzandwy
/
Profanity_Dataset

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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 1 new columns ({'text'}) and 5 missing columns ({'Word', 'Dispersion', 'Rank', 'Frequency', 'Part of speech'}).

This happened while the csv dataset builder was generating data using

hf://datasets/rnzandwy/Profanity_Dataset/Profanity Dataset/profane.csv (at revision 9619aea2152c71dba754deb2188305c68c115222)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              text: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 370
              to
              {'Rank': Value('int64'), 'Word': Value('string'), 'Part of speech': Value('string'), 'Frequency': Value('int64'), 'Dispersion': Value('float64')}
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 1 new columns ({'text'}) and 5 missing columns ({'Word', 'Dispersion', 'Rank', 'Frequency', 'Part of speech'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/rnzandwy/Profanity_Dataset/Profanity Dataset/profane.csv (at revision 9619aea2152c71dba754deb2188305c68c115222)
              
              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.

Rank
int64
Word
string
Part of speech
string
Frequency
int64
Dispersion
float64
1
the
a
22,038,615
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2
be
v
12,545,825
0.97
3
and
c
10,741,073
0.99
4
of
i
10,343,885
0.97
5
a
a
10,144,200
0.98
6
in
i
6,996,437
0.98
7
to
t
6,332,195
0.98
8
have
v
4,303,955
0.97
9
to
i
3,856,916
0.99
10
it
p
3,872,477
0.96
11
I
p
3,978,265
0.93
12
that
c
3,430,996
0.97
13
for
i
3,281,454
0.98
14
you
p
3,081,151
0.92
15
he
p
2,909,254
0.94
16
with
i
2,683,014
0.99
17
on
i
2,485,306
0.99
18
do
v
2,573,587
0.95
19
say
v
1,915,138
0.95
20
this
d
1,885,366
0.96
21
they
p
1,865,580
0.96
22
at
i
1,767,638
0.98
23
but
c
1,776,767
0.97
24
we
p
1,820,935
0.94
25
his
a
1,801,708
0.95
26
from
i
1,635,914
0.99
27
that
d
1,712,406
0.94
28
not
x
1,638,830
0.98
29
n't
x
1,619,007
0.97
30
by
i
1,490,548
0.96
31
she
p
1,484,869
0.91
32
or
c
1,379,320
0.97
33
as
c
1,296,879
0.98
34
what
d
1,181,023
0.94
35
go
v
1,151,045
0.93
36
their
a
1,083,029
0.97
37
can
v
1,022,775
0.98
38
who
p
1,018,283
0.97
39
get
v
992,596
0.94
40
if
c
933,542
0.97
41
would
v
925,515
0.97
42
her
a
969,591
0.91
43
all
d
892,102
0.98
44
my
a
919,821
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45
make
v
857,168
0.98
46
about
i
874,406
0.96
47
know
v
892,535
0.93
48
will
v
824,568
0.97
49
as
i
829,018
0.95
50
up
r
795,534
0.95
51
one
m
768,232
0.98
52
time
n
764,657
0.98
53
there
e
784,528
0.96
54
year
n
769,254
0.96
55
so
r
756,550
0.95
56
think
v
772,787
0.91
57
when
c
678,626
0.98
58
which
d
685,982
0.96
59
them
p
677,870
0.97
60
some
d
674,193
0.98
61
me
p
709,623
0.92
62
people
n
691,468
0.95
63
take
v
670,745
0.97
64
out
r
678,603
0.96
65
into
i
668,172
0.97
66
just
r
677,711
0.94
67
see
v
663,645
0.96
68
him
p
677,707
0.92
69
your
a
659,622
0.94
70
come
v
628,254
0.95
71
could
v
617,932
0.96
72
now
r
605,997
0.94
73
than
c
579,757
0.97
74
like
i
568,850
0.96
75
other
j
547,799
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76
how
r
538,893
0.97
77
then
r
543,977
0.95
78
its
a
539,719
0.96
79
our
a
525,107
0.97
80
two
m
511,027
0.99
81
more
r
517,536
0.97
82
these
d
513,864
0.95
83
want
v
514,972
0.95
84
way
n
470,401
0.98
85
look
v
491,707
0.93
86
first
m
463,566
0.98
87
also
r
464,606
0.96
88
new
j
435,993
0.97
89
because
c
438,539
0.96
90
day
n
432,773
0.97
91
more
d
420,170
0.97
92
use
v
420,781
0.96
93
no
a
402,222
0.98
94
man
n
409,760
0.95
95
find
v
395,203
0.98
96
here
r
412,315
0.93
97
thing
n
400,724
0.94
98
give
v
384,503
0.98
99
many
d
385,348
0.97
100
well
r
411,776
0.91
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