Sold by: Reuters
Deployed on AWS
Reuters’ Text Archive provides the full corpus of English articles that have been published. This will include breaking news in the financial and general news space as well as global coverage in politics, sports, entertainment, and technology. This comprehensive corpus of content makes this dataset ideal for any natural language processing (NLP) algorithms or ML applications
Overview
ABOUT THIS DATASET
A data extract from our pure text English language newswire archive which includes 30 days of content structured in our standard newsML-G2 XML format.
Content Type: Text (txt)
Usage: For research use only, additional fee applies for commercial use
Date Range: September 1st - September 30th of 2019
Format: NewsML G2
Encoding: UTF-8
Catalog Reference: http://www.iptc.org/std/catalog/catalog.IPTC-G2-Standards_3.xml
Basic Metadata:
| Description | Field |
|---|---|
| Unique Story ID | transmitID, guid |
| Publication Data | firstCreated |
| Copyright Holder | rightsInfo |
| Filename | fileName |
| Content Type | channel, signal qcode="prodId:TXT, itemClass |
| Language | language |
| Title | title |
| Urgency | urgency |
| Located (Country/Province or State) | located |
| Categorization, Topic and Region Codes | subject qcode="N2:XXX" |
| Creator | creator |
| Slug Line | slugline |
| Headline | headline |
| DateLine | dateline |
| Author | by |
| Credit Line | creditline |
| Description | description |
ABOUT REUTERS ## Learn More
For over 160 years, Reuters has built a legacy as a trusted source of accurate, bias-free information, and the quality of our news data reflects this. With sophisticated metadata found in over 45 million pieces of fully-licensable news content, Reuters material is an indispensable source of training data, whatever your project. We provide broad coverage of major topics from over 200 global locations and 16 languages, including business, finance, politics, sports, entertainment, technology, and much more. Our advanced metadata contains regional and category-specific codes, allowing for intelligent grouping.
Our news data is professionally produced and fully-licensed, allowing you to reach insights with greater speed and effectiveness:
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Rights: Reuters has the proprietary rights to our data corpus and visual assets
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Trust & Accuracy: Over 2000 media companies rely on Reuters news to make editorial and business decisions every day. Guided by Reuters Trust principles, our news preserves integrity, independence and freedom from bias
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Diversity: Broad coverage of major topics from over 200 global locations and 16 languages, including business, finance, politics, sports, entertainment, technology, and much more
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Metadata: Our advanced metadata contains regional and category-specific codes, allowing for intelligent grouping
NEED ASSISTANCE ## Contact Us
If you have any questions or concerns regarding this dataset, please contact Reuters Support Services.
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Reuters 30 Day News Archive - ENGLISH (30 Days: September_01-30_2019) | All historical revisions | All future revisions | Not included | Not included |
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