A data extract from our pure text English language news archive which includes 1 year of content structured in our standard newsML-G2 XML format.
Content Type: Text (txt)
Language: English(En)
Topic: Automotive News (AUTO, CARM)
Usage: For research use only, additional fee applies for commercial use
Date Range: October 1st 2018 – September 30th of 2019
Format: [NewsML G2](https://iptc.org/standards/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
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:
* Rights: Reuters has the proprietary rights to our data corpus and visual assets
* 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
* Diversity: Broad coverage of major topics from over 200 global locations and 16 languages, including business, finance, politics, sports,
entertainment, technology, and much more
* Metadata: Our advanced metadata contains regional and category-specific codes, allowing for intelligent grouping
If you have any questions or concerns regarding this dataset, please contact Reuters Support Services.
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| Heapery Attribution License | Heapery-Private |
| Category | Other |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Refunds not allowed |
