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Multilingual AI/ML training data, sorted by relevance, entity and geolocation

Overtone
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Request Data Sample
Coverage
160
Countries
History
8
years

Description

We source large amounts (millions of rows and above) of URLs to text data that is recommended for machine learning and AI training.
We run our models on large numbers of content links to assess their suitability for training and testing data. We filter and sort the results by relevance (e.g. suitability for training, inferred human value), by entity (e.g. a specific country, business, or industry sector) and by geolocation (e.g. a specific city, county, continent). Our datasets can run from several thousand rows to many millions of rows of data. We can also provide various metadata signals with the output for additional fine-tuning during and after training.

Geography

Africa (8)
Botswana
Egypt
Ethiopia
Ghana
Kenya
Namibia
South Africa
Tanzania, United Republic of
Asia (21)
Bhutan
Cyprus
Hong Kong
India
Indonesia
Israel
Japan
Korea (Republic of)
Macao
Malaysia
Nepal
Oman
Philippines
Qatar
Saudi Arabia
Singapore
Taiwan
Thailand
Turkey
United Arab Emirates
Vietnam
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

8 years of historical data

Pricing

Overtone has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Use Cases

Categories

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Frequently asked questions

What is Multilingual AI/ML training data, sorted by relevance, entity and geolocation?

We source large amounts (millions of rows and above) of URLs to text data that is recommended for machine learning and AI training.

What is Multilingual AI/ML training data, sorted by relevance, entity and geolocation used for?

This product has 4 key use cases. Overtone recommends using the data for Artificial Intelligence (AI), B2B Data Enrichment, Product Data Enrichment, and Generative AI. Global businesses and organizations buy AI & ML Training Data from Overtone to fuel their analytics and enrichment.

Who can use Multilingual AI/ML training data, sorted by relevance, entity and geolocation?

This product is best suited if you’re a Medium-sized Business looking for AI & ML Training Data. Get in touch with Overtone to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Multilingual AI/ML training data, sorted by relevance, entity and geolocation go?

This Text Data has 8 years of historical coverage.

Which countries does Multilingual AI/ML training data, sorted by relevance, entity and geolocation cover?

This product includes data covering 160 countries like USA, Japan, Germany, India, and United Kingdom. Overtone is headquartered in United Kingdom.

How much does Multilingual AI/ML training data, sorted by relevance, entity and geolocation cost?

Pricing information for Multilingual AI/ML training data, sorted by relevance, entity and geolocation is available by getting in contact with Overtone. Connect with Overtone to get a quote and arrange custom pricing models based on your data requirements.

What is the data quality of Multilingual AI/ML training data, sorted by relevance, entity and geolocation?

You can compare and assess the data quality of Overtone using Datarade’s data marketplace.

What are similar products to Multilingual AI/ML training data, sorted by relevance, entity and geolocation?

This Text Data has 3 related products. These alternatives include Nexdata Large Language Model Data SFT Data Pre-training Data LLM Data Text AI & ML Training Data Natural Language Processing (NLP) Data, Coresignal Employee Data AI-Enriched Dataset Global / 459M+ Records / Updated Weekly, and Pixta AI Imagery and Footage Data Collection Global Stock Images and High-quality videos Annotation and Labelling Services for AI & ML. You can compare the best AI & ML Training Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request