Sold by: Reuters
Deployed on AWS
Reuters’ Mandarin Chinese Document Alignment Package provides paired news stories in English and the translated Mandarin Chinese equivalent story that Reuters published. The content itself is primarily related to financial and general news stories. These pre-aligned documents make this dataset ideal for any machine learning translation model.
Overview
ABOUT THIS DATASET
A data extract from our pure text Mandarin Chinese language news archive which includes 30 days of content structured in our standard newsML-G2 XML format.
Content Type: Text (txt)
Language: Mandarine (Zh)
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 ## button:Learn More
As the world’s largest news agency, Reuters continuously produces substantial multimedia content, enabling you to thoroughly test and build your AI. Our large body of trusted news data continues to grow on a daily basis with 200 transcripted videos added per day, over 1,500 images with intelligent metadata added per day, and 2.2 million translated text articles added every year.
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
If you have any questions or concerns regarding this dataset, please contact Reuters Support Services.
Details
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Pricing
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Dimensions summary
This is a free sample listing offered at no cost. It contains a single pricing dimension measured in units, with no charge applied. The sample provides Chinese document alignment data drawn from the Reuters news archive over a 30-day period. Because it is free, there are no tiers, instance sizes, or usage add-ons to compare. You access one flat option with no commitment or scaling structure. Use this sample to evaluate the content before discussing a full licensing arrangement.
Top-of-mind questions for buyers
The sample bills a single dimension measured in units at no charge. The unit here represents access to the Chinese document alignment dataset drawn from the Reuters news archive over a 30-day period. Because the price is zero, unit counting does not affect what you pay.
This sample provides Chinese document alignment data from the Reuters archive. The archive holds text stories covering global news, business, entertainment, and sports events. This alignment sample lets you evaluate the data format and quality before discussing a full licensing arrangement.
No. The sample carries a zero price with no commitment or recurring fee. It covers a 30-day period and involves no tiers, add-ons, or usage-based scaling. To license the full archive content, you contact the vendor's sales team separately.
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Delivery details
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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 News Archive: Pharmaceutical (30 Days) - SAMPLE | All historical revisions | All future revisions | Not included | Not included |
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