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Reuters News Archive: Energy (1 Year)

Reuters’ Energy Package provides energy related articles that Reuters has published. This will include news about the production and consumption of physical energy products (coal, gas, oil, renewable energy, emissions) and manufacturers of energy-related equipment. These articles make this dataset ideal for any natural language processing (NLP) algorithms or ML applications specializing in this space.

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About

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:** Energy News (ENER, NRG, RNW)

**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

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](https://www.reutersagency.com/en/reuters-for/machine-learning/)

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

## NEED ASSISTANCE ## [Contact Us](https://liaison.reuters.com/contact-us)

If you have any questions or concerns regarding this dataset, please contact Reuters Support Services.

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