Dataset Preview Go to dataset viewer
example (string)
Insign is Interactive
Syndicate Crypto
Julie Kindt
Default data
My Bookie
Doctor David cohen
Rock United
Sisters Rental
ABATE n y Monroe
Drumming Mad
R M C Research Corporation
Global Garden
my Domain
Titan News
Moms Jewelry Box
Green S A T system
M P K productions
P N G Scriptures
Dr Asa Andrew Patients
Grace Line
Artist
City Of Yates Center
Creative Soul Records
Creative commons
Rita Daniels
Aalaska cruise
Short Run Printing L T D
Brooke Peaches
Outsider Firearms
G E Mission
Search engines
Doctor Cohen
Send Along
lafayette Massage Therapy
Batau travels
Estates Law
Lacey inspection
Warr Choral
Matthew Bayard
Bulls Bay
Destinations In Florida
Adszi
Hindi Novels
Trek Profiles
Qazi Law Offices
L W S art
Travis J Bryan
Retail dive
Panther Partners
Webster Schools
Nickmik
NYC Beer
LIFE St Mary
Skin Care Guide
WholeSale Extreme
Phoneky
Mostly Bass
Open FOAM
S e o toolranker
Drew Blank
Elance
Axandra
Blue Planet Productions
Computex taipei
Sugar Creek Smile Dentistry
Szeptem
B L
Dare to Dream Big
Paramount Work Place
Head Matcher
My Schools
Redbeak Games
Egg Cruelty
dr david Cohen
Redgular
SeCoS GmbH
Cathay Go
Grammar Revolution
Think H D I
B p c p hosting
G W A S inspector
e Music
L m v k
Alchemical Hydrogen
P C B Libraries
Teacher Jobs
CLoud N Y N E Design
Windsor Vietnamese
Law Policy
Bird Talk
R C G SIL
N R A I L A
e Ham
Buffington Effect
Matt law
Vertbaudet
Key boom
Georgia Veterans Day
Hats
Auspicious Works
End of preview (truncated to 100 rows)

Dataset Card for Common Crawl Domain Names

Dataset Summary

Corpus of domain names scraped from Common Crawl and manually annotated to add word boundaries (e.g. "commoncrawl" to "common crawl").

Breaking domain names such as "openresearch" into component words "open" and "research" is important for applications such as Text-to-Speech synthesis and web search. Common Crawl is an open repository of web crawl data that can be accessed and analyzed by anyone. Specifically, we scraped the plaintext (WET) extracts for domain names from URLs that contained diverse letter casing (e.g. "OpenBSD"). Although in the previous example, segmentation is trivial using letter casing, this was not always the case (e.g. "NASA"), so we had to manually annotate the data.

Supported Tasks and Leaderboards

  • Text-to-Speech synthesis
  • Web search

Languages

en: English

Dataset Structure

Data Instances

Each sample is an example of space separated segments of a domain name. The examples are stored in their original letter casing, but harder and more interesting examples can be generated by lowercasing the input first.

For example:

Open B S D
NASA
ASAP Workouts

Data Fields

  • example: a string feature: space separated segments of a domain name.

Data Splits

split size trivial avg_input_length avg_segments
train 17572 13718 12.63 2.65
eval 1953 1536 12.77 2.67
test 2170 1714 12.63 2.66

Dataset Creation

Curation Rationale

The dataset was curated by scraping the plaintext (WET) extracts for domain names from URLs that contained diverse letter casing (e.g. "OpenBSD"). Although in the previous example, segmentation is trivial using letter casing, this was not always the case (e.g. "NASA"), so the curators of the dataset had to manually annotate the data.

Source Data

Initial Data Collection and Normalization

Corpus of domain names scraped from Common Crawl and manually annotated to add word boundaries

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

The annotators are the curators of this dataset

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

The curators of this dataset are Jae Hun Ro and mwurts4google, who are the contributors of the official Github repository for this dataset. Since the account handles of other curators are unknown currently, the authors of the paper linked to this dataset is mentioned here as curators, Hao Zhang, Jae Ro, and Richard Sproat.

Licensing Information

MIT License

Citation Information

@inproceedings{zrs2020urlsegmentation,
  title={Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities},
  author={Hao Zhang and Jae Ro and Richard William Sproat},
  booktitle={The 28th International Conference on Computational Linguistics (COLING 2020)},
  year={2020}
}

Contributions

Thanks to @Karthik-Bhaskar for adding this dataset.

Update on GitHub
Papers with Code