Datasets:
token_0
large_stringlengths 1
3.66k
| token_1
large_stringlengths 1
3.66k
| token_2
large_stringlengths 1
3.66k
| token_3
large_stringlengths 1
3.66k
| count
int64 1
33.6k
|
|---|---|---|---|---|
#
|
#
|
#
|
the
| 33,624
|
one
|
of
|
the
|
most
| 24,740
|
is
|
one
|
of
|
the
| 23,503
|
the
|
end
|
of
|
the
| 23,371
|
at
|
the
|
end
|
of
| 20,232
|
in
|
the
|
united
|
states
| 18,704
|
at
|
the
|
same
|
time
| 17,954
|
as
|
well
|
as
|
the
| 15,814
|
when
|
it
|
comes
|
to
| 15,711
|
for
|
the
|
first
|
time
| 14,713
|
the
|
rest
|
of
|
the
| 14,704
|
a
|
member
|
of
|
the
| 11,726
|
to
|
be
|
able
|
to
| 11,493
|
as
|
a
|
result
|
of
| 11,223
|
at
|
the
|
university
|
of
| 11,215
|
on
|
the
|
other
|
hand
| 11,166
|
if
|
you
|
want
|
to
| 11,019
|
#
|
#
|
#
|
this
| 10,313
|
#
|
#
|
#
|
home
| 10,198
|
#
|
#
|
#
|
i
| 10,013
|
one
|
of
|
the
|
best
| 9,233
|
of
|
the
|
united
|
states
| 9,168
|
#
|
#
|
#
|
a
| 9,047
|
will
|
be
|
able
|
to
| 8,936
|
as
|
part
|
of
|
the
| 8,639
|
in
|
the
|
case
|
of
| 8,043
|
in
|
the
|
middle
|
of
| 8,005
|
a
|
wide
|
range
|
of
| 8,004
|
as
|
one
|
of
|
the
| 7,559
|
at
|
the
|
time
|
of
| 7,525
|
in
|
the
|
form
|
of
| 7,480
|
was
|
one
|
of
|
the
| 7,358
|
the
|
top
|
of
|
the
| 7,142
|
as
|
well
|
as
|
a
| 7,107
|
#
|
#
|
#
|
we
| 7,081
|
january
|
december
|
november
|
october
| 6,634
|
december
|
november
|
october
|
september
| 6,634
|
may
|
april
|
march
|
february
| 6,564
|
april
|
march
|
february
|
january
| 6,525
|
november
|
october
|
september
|
august
| 6,522
|
june
|
may
|
april
|
march
| 6,511
|
july
|
june
|
may
|
april
| 6,473
|
october
|
september
|
august
|
july
| 6,436
|
august
|
july
|
june
|
may
| 6,433
|
september
|
august
|
july
|
june
| 6,420
|
march
|
february
|
january
|
december
| 6,375
|
february
|
january
|
december
|
november
| 6,323
|
the
|
new
|
york
|
times
| 6,091
|
by
|
the
|
end
|
of
| 6,082
|
in
|
addition
|
to
|
the
| 6,015
|
the
|
united
|
states
|
and
| 5,841
|
#
|
#
|
#
|
in
| 5,712
|
is
|
going
|
to
|
be
| 5,650
|
from
|
the
|
university
|
of
| 5,579
|
the
|
beginning
|
of
|
the
| 5,312
|
it
|
is
|
important
|
to
| 5,249
|
this
|
entry
|
was
|
posted
| 5,215
|
in
|
front
|
of
|
the
| 5,201
|
at
|
the
|
age
|
of
| 5,195
|
the
|
middle
|
of
|
the
| 5,162
|
some
|
of
|
the
|
most
| 5,087
|
on
|
the
|
basis
|
of
| 5,044
|
to
|
learn
|
more
|
about
| 5,040
|
the
|
fact
|
that
|
the
| 4,964
|
i
|
would
|
like
|
to
| 4,902
|
a
|
lot
|
of
|
people
| 4,842
|
all
|
over
|
the
|
world
| 4,794
|
in
|
accordance
|
with
|
the
| 4,788
|
in
|
new
|
york
|
city
| 4,756
|
at
|
the
|
top
|
of
| 4,747
|
a
|
part
|
of
|
the
| 4,693
|
in
|
a
|
way
|
that
| 4,665
|
take
|
a
|
look
|
at
| 4,645
|
with
|
the
|
help
|
of
| 4,563
|
for
|
a
|
long
|
time
| 4,512
|
can
|
be
|
used
|
to
| 4,454
|
if
|
you
|
have
|
a
| 4,454
|
the
|
bottom
|
of
|
the
| 4,410
|
in
|
the
|
first
|
place
| 4,383
|
you
|
would
|
like
|
to
| 4,361
|
state
|
of
|
the
|
art
| 4,355
|
the
|
best
|
way
|
to
| 4,354
|
at
|
the
|
beginning
|
of
| 4,333
|
a
|
wide
|
variety
|
of
| 4,292
|
entry
|
was
|
posted
|
in
| 4,272
|
last
|
updated
|
last
|
updated
| 4,246
|
updated
|
last
|
updated
|
last
| 4,245
|
the
|
first
|
time
|
in
| 4,178
|
in
|
the
|
field
|
of
| 4,164
|
the
|
name
|
of
|
the
| 4,163
|
one
|
of
|
the
|
first
| 4,149
|
you
|
do
|
have
|
to
| 4,126
|
in
|
the
|
context
|
of
| 4,114
|
the
|
start
|
of
|
the
| 3,961
|
n
|
a
|
n
|
a
| 3,914
|
the
|
history
|
of
|
the
| 3,902
|
#
|
#
|
#
|
it
| 3,900
|
if
|
you
|
have
|
any
| 3,900
|
you
|
need
|
to
|
know
| 3,893
|
for
|
the
|
purpose
|
of
| 3,821
|
End of preview. Expand
in Data Studio
Dataset Card for slimpajama-ngrams
N-gram frequencies calculated from the SlimPajama test set. Github and StackExchange data sources were excluded to avoid overrepresentation of code.
Dataset Details
Dataset Description
Processing
N-grams were extracted for all words and for content words (cw) only. Content words were determined by the SpaCy large pipeline version 3.5. Verbs operating as auxiliaries were treated as function words.
Format
Document boundaries are indicated by three "#" tokens. Data is represented in a 4-gram format, but smaller n-grams can be recovered.
Example: the last bigram of a document will be [word_a, word_b, "#", "#"]
- Curated by: Langdon
- License:
Please refer to the licenses of the SlimPajama data subsets.
- Common Crawl Foundation Terms of Use
- C4 license
- Books: the_pile_books3 license and pg19 license
- ArXiv Terms of Use
- Wikipedia License
Citation [optional]
BibTeX:
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APA:
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