Dataset Viewer
noun_phrase
stringlengths 0
702
| count
int64 1
249k
|
|---|---|
you
| 249,233
|
it
| 200,413
|
I
| 188,033
|
we
| 115,472
|
that
| 110,507
|
they
| 69,234
|
he
| 51,780
|
which
| 48,012
|
this
| 46,567
|
what
| 39,533
|
who
| 39,492
|
them
| 33,159
|
us
| 26,247
|
me
| 25,692
|
she
| 25,001
|
all
| 17,793
|
time
| 16,945
|
people
| 15,966
|
him
| 12,069
|
something
| 9,705
|
some
| 9,336
|
those
| 8,471
|
world
| 8,011
|
part
| 7,471
|
lot
| 7,310
|
-
| 7,272
|
way
| 6,542
|
her
| 6,345
|
order
| 6,171
|
place
| 6,004
|
information
| 5,955
|
life
| 5,884
|
others
| 5,805
|
things
| 5,800
|
everything
| 5,775
|
these
| 5,500
|
work
| 5,393
|
number
| 5,351
|
day
| 5,327
|
company
| 5,261
|
God
| 5,211
|
students
| 5,200
|
fact
| 5,055
|
use
| 4,952
|
end
| 4,893
|
someone
| 4,867
|
money
| 4,792
|
everyone
| 4,668
|
home
| 4,567
|
example
| 4,524
|
addition
| 4,392
|
children
| 4,326
|
anything
| 4,315
|
yourself
| 4,295
|
water
| 3,981
|
year
| 3,933
|
anyone
| 3,805
|
case
| 3,788
|
services
| 3,742
|
business
| 3,691
|
course
| 3,690
|
nothing
| 3,618
|
years
| 3,465
|
data
| 3,447
|
game
| 3,429
|
top
| 3,391
|
one
| 3,391
|
Thanks
| 3,384
|
city
| 3,334
|
person
| 3,257
|
book
| 3,157
|
itself
| 3,134
|
themselves
| 3,048
|
women
| 2,990
|
service
| 2,990
|
country
| 2,983
|
house
| 2,972
|
each
| 2,932
|
school
| 2,923
|
process
| 2,910
|
state
| 2,883
|
experience
| 2,821
|
access
| 2,800
|
result
| 2,789
|
variety
| 2,788
|
site
| 2,783
|
event
| 2,738
|
family
| 2,721
|
myself
| 2,712
|
future
| 2,683
|
mind
| 2,654
|
love
| 2,651
|
sale
| 2,640
|
University
| 2,618
|
both
| 2,614
|
any
| 2,613
|
2,572
|
|
United States
| 2,569
|
team
| 2,566
|
problem
| 2,562
|
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in Data Studio
Noun Phrases Dataset
This dataset contains noun phrases extracted from allenai/c4.
It includes two configurations: uncased and cased, with 1 895 908 and 2 000 002 entries, respectively.
JSONL Fields
Each entry contains:
- noun_phrase: The extracted noun phrase.
- count: Frequency of occurrence.
Example Rows
{"noun_phrase": "ship invoices", "count": 1}
{"noun_phrase": "\"river", "count": 1}
{"noun_phrase": "no boiler system", "count": 1}
Construction
- Cased Data: Original noun phrases with preserved casing.
- Uncased Data: Constructed by normalizing cased data to lowercase, aggregating counts for identical phrases, and retaining the original phrase with the highest count.
Preprocessing and Extraction
- Preprocessing: Unicode normalization, bracket removal, bullet point standardization, quotation mark normalization, and whitespace normalization.
- SpaCy: Noun phrase extraction using the
"en_core_web_sm"model. Articles such as "a" or "the" were removed.
Original Data Source
The C4 dataset is a cleaned version of the Common Crawl dataset, providing a comprehensive source of English text for linguistic analysis and NLP tasks.
Applications
Suitable for grammar analysis, linguistic studies, and natural language processing (NLP) tasks.
Dataset Details
- Language: English (
en) - Licence: Open Data Commons License
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