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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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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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