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 |
End of preview. Expand
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
- Downloads last month
- 130