Dataset Viewer
Auto-converted to Parquet Duplicate
word
stringlengths
1
951
doc_count
int64
1
14.6M
count
int64
1
400M
the
14,573,221
399,643,812
and
14,425,247
222,714,224
to
14,264,467
211,778,810
a
14,031,772
171,083,462
of
13,990,656
193,898,794
in
13,637,523
134,607,020
for
12,978,005
82,852,440
is
12,549,038
88,764,853
with
12,020,462
60,932,220
on
11,778,700
57,231,760
that
10,913,297
76,589,968
this
10,483,668
44,363,306
it
10,141,387
61,280,512
are
10,060,450
44,663,472
as
9,867,613
46,636,354
be
9,808,902
41,955,900
from
9,796,073
33,138,603
at
9,769,671
35,690,130
by
9,313,939
31,897,655
have
9,078,193
33,885,125
an
8,819,075
26,929,867
you
8,676,828
66,114,707
or
8,663,370
35,757,026
all
7,980,050
22,228,921
can
7,798,646
27,213,433
not
7,780,467
27,795,953
will
7,763,812
27,291,048
has
7,531,168
21,100,037
more
7,454,471
19,823,483
but
7,416,452
25,459,654
s
7,343,368
37,973,704
one
7,058,095
19,063,825
we
6,979,938
32,816,406
was
6,817,496
35,399,519
about
6,546,829
17,204,327
your
6,533,575
34,463,042
if
6,497,435
19,918,008
also
6,373,512
14,640,534
they
6,344,722
23,198,377
their
6,314,872
19,331,344
i
6,172,222
58,884,039
out
6,152,513
14,924,420
up
6,124,866
14,817,260
when
6,079,767
15,872,577
so
6,077,744
17,223,429
which
6,065,352
15,800,062
time
5,857,744
13,868,148
there
5,775,243
15,577,587
our
5,594,259
18,420,896
new
5,579,169
13,683,711
other
5,538,039
12,025,851
what
5,533,101
15,710,456
who
5,452,321
14,213,691
been
5,366,102
12,165,672
some
5,336,759
12,315,899
like
5,224,248
12,591,228
do
5,090,409
13,049,593
just
5,003,119
11,504,809
no
4,948,049
11,271,207
into
4,898,311
10,406,221
get
4,789,282
10,780,125
how
4,738,415
11,321,582
than
4,698,720
9,725,106
only
4,674,802
9,067,489
first
4,590,113
9,331,041
most
4,571,158
9,009,067
over
4,566,753
8,679,862
make
4,554,284
9,120,041
these
4,543,844
10,217,390
them
4,512,064
10,864,833
any
4,498,014
9,833,932
-
4,405,585
30,645,493
after
4,391,283
8,804,647
would
4,278,120
11,039,332
now
4,215,053
8,191,961
its
4,209,127
10,020,004
well
4,171,409
7,765,247
may
4,083,941
9,660,618
many
4,071,784
7,906,045
were
4,017,015
11,855,804
my
3,992,565
18,357,885
two
3,986,704
7,775,114
he
3,966,574
22,690,989
had
3,958,036
12,043,097
people
3,929,845
10,211,616
us
3,915,227
8,870,701
through
3,905,958
7,151,501
t
3,849,959
13,298,286
1
3,840,265
10,020,821
his
3,839,831
18,072,392
way
3,804,305
7,094,584
here
3,793,230
6,900,181
see
3,771,410
7,166,707
while
3,748,648
6,533,994
even
3,724,397
7,218,212
work
3,724,066
7,732,242
where
3,694,540
6,824,663
then
3,692,240
7,834,559
use
3,634,942
7,906,790
years
3,626,043
6,969,591
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
12