AI DATASETS · TEXT

Buy custom LLM training data from the real world

Name: LLM Training Data and Multilingual Text Datasets
Creator: Rwazi
License: https://rwazi.com/general-terms

Days from request to delivery. Bespoke text datasets, written by real people across 190+ countries and 100+ languages. Native writing, with translation on top, built to your use case.

190+ countries
100+ languages
5M+ contributor network
zero-party

Request a text sample pack Talk to the team

Brands that trust us

Eight data types, collected your requirements

MODALITY · 04 / 08

Text

Native writing across 100+ languages, structured records or free-form.

100+ languages190+ countriesNative + translated

Explore text

WHAT YOU GET

Bespoke text, built to your spec

The text your model needs, in the languages and fields it will work in.

Written to your spec

Any language, any field, on demand.

Natively written

Real native writing, with translation on top.

Raw text core

Sentiment, labeling, and post-processing as add-ons.

Request a sample text dataset License it from our library, or own it outright

WHY LANGUAGE MODELS FAIL

Why language models fail

English-heavy, scraped text trains a model that slips on native phrasing, real domains, and other languages.

Trained on scraped or translated text

Reads well on familiar phrasing, slips on native idiom, domain language, and low-resource languages.

Trained on real-world text from Rwazi

Holds up where your users actually write.

WHAT SCRAPED AND SYNTHETIC TEXT MISS

What scraped and synthetic text miss

Native phrasing

Idiom, slang, and tone written by real speakers.

Code-switching

People mixing languages in a single sentence.

Domain language

Legal, medical, technical, and financial writing.

Document structure

Real forms, contracts, resumes, and reports.

Low-resource languages

The languages scraped corpora barely cover.

Human signal

Real human writing, the clean reference for AI-versus-human detection.

Rwazi collects every bit of it from real writers, so your model trains on it before launch.

SAMPLE TYPES

Real text samples for cases like yours

A requested pack arrives as text matched to your fields and languages, each record carrying demographic metadata and a consistent naming convention, dropped into your cloud.

SAMPLE 01

Native multilingual writing, across 100+ languages.

Gated request

SAMPLE 02

Domain documents, legal, medical, and technical.

Gated request

SAMPLE 03

Structured records and forms, for extraction.

Gated request

SAMPLE 04

Human-written prompts and responses, for fine-tuning and detection.

Gated request

Request a text sample pack

WHAT WE CAPTURE

What we capture, to your spec

Languages

Natively written across 100+ languages and 190+ countries.

Translation

Available on top of native text.

Structure

Structured records and unstructured free text.

Domains

Legal, medical, technical, financial, and consumer.

Document types

Contracts, resumes, forms, reports, and conversations.

Style

Formal, conversational, and domain-specific registers.

Scale

From a focused set to large recurring collections, collected to your spec.

Add-ons

Sentiment, labeling, classification, and post-processing.

Rights

All text is collected with consent.

Formats and delivery

JSON, CSV, and TXT, delivered to S3, Azure Blob, GCS, or SFTP.

COLLECTION MODES

Written your way, native or to a tight brief

We work both ends of the spectrum. You pick the text your model needs.

Native authoring

For models that must hold up across languages. Real native writing in the languages and registers your users speak.

Targeted collection

For models that need precision. Domain documents and structured records collected to a tight brief.

Book a call with our team

GLOBAL COVERAGE

Real-world text, in 100+ languages

Most text sets lean on English and a few big languages, so models stumble elsewhere. Rwazi collects natively written text from 190+ countries and 100+ languages.

190+ countries
100+ languages
native and translated
structured and unstructured
domain and general

WHAT SETS RWAZI APART

What sets Rwazi text data apart?

Written by real people, owned by you

Real contributors write it under explicit consent, so it is zero-party and Rwazi-owned, with a clean rights trail, and you take it licensed or outright.

Tagged at the source

Every record includes who wrote it: age, gender, and location, captured as written, with deeper fields on request.

Written on demand, in your languages

We collect across 190+ countries, so your model trains on text from real speakers of the languages it serves.

Native, written by speakers

Each language is written by people who speak it, so the idiom and tone are authentic.

Quality checked, every record

People review each record against your pass-or-reject spec before it ships.

USE CASES

Built for the language AI you are shipping

LLM training and fine-tuning

Problem

Models lean on scraped, English-heavy text and slip elsewhere.

Solution

Natively written text across 100+ languages, collected to your spec.

Impact

Coverage matched to the languages your model serves.

BY TASK

Text datasets for the task you are training

Rwazi builds text and NLP datasets for machine learning, scoped to the task, including:

LLM fine-tuning datasets and RLHF datasetsSentiment analysis datasets and text classification datasetsNamed entity recognition datasets and summarization datasetsQuestion answering datasets and instruction-tuning datasets

HOW IT WORKS

From your spec to your cloud, in four steps

01 · Define

Tell us the languages, domains, document types, structure, volume, and your pass-or-reject spec.

02 · Collect

Real people across 190+ countries write to that spec, native or targeted.

03 · Quality control

Validated against your pass-or-reject criteria before delivery.

04 · Deliver

JSON, CSV, and TXT arrive in your S3, Azure Blob Storage, GCS, or via SFTP, ready to train.

Run it as a one-off project or a recurring refresh, weekly or monthly.

Book a call to know more about AI text datasets

COMPARISON

How Rwazi compares to other providers

The same data, captured in the physical world. Here is how that stacks up against the alternatives.

	Recommended Rwazi	Option 1	Option 2	Option 3
Real-world data	Physical-world across 190+ countries	Digital-first	Limited physical	Inconsistent
Mobile-native	5M mobile devices	Desktop focus	Limited	Web-based
Geographic coverage	190+ countries	US/Europe bias	Limited coverage	70 countries
Data modalities	Audio, video, image, GPS, sensor	Images/text	Audio/text	Basic tasks
Pricing transparency	Transparent tiers	Opaque ($93K)	Complex	Transparent tiers
Quality	Multi-tier validation	98%+ (claims)	Variable	Low pay risk
Compliance	GDPR ready, SOC 2 in progress	FedRAMP, SOC 2	SOC 2, ISO 27001	Limited

Rwazi plays in physical-world-first AI.

5 million mobile users collecting authentic data from real environments in 190+ countries. Making your models more competitive with real-life data.

QUALITY & TRUST

Every record earns its place in your dataset

You write the pass-or-reject criteria. People review each record, check it against those criteria, and log who wrote it, where, and when. We report what passed before the dataset reaches you.

Reviewed by people at every stage

Provenance recorded on every record

Written under explicit consent

Rwazi-owned, yours to license or own outright

Compliance shared once verified

Tell us your scope or book a live demo with us

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Contact The Rwazi AI Datasets Team

Book A Live Demo

FAQ

Questions teams ask before they buy

What is LLM training data?+

Text used to train and fine-tune language models, from native writing and domain documents to human prompts and responses. Rwazi collects it to your spec across 190+ countries and 100+ languages.

Do you offer structured and unstructured text?+

Yes. Structured records and unstructured free text, in the domains and document types you need.

Does it include sentiment or labeling?+

The text is the deliverable. Sentiment, labeling, classification, and post-processing can be added as a paid layer.

What formats and delivery do you support?+

JSON, CSV, and TXT, delivered to your S3, Azure Blob, GCS, or SFTP.

How do you handle consent and ownership?+

Every contributor writes with explicit consent, and Rwazi owns all the text. You license the set or take it outright, and provenance travels with each record.

What does a delivery look like?+

A QC'd set in the format you choose, named to a consistent convention, with age, gender, and location tagged per record, dropped into your cloud.

What languages can you collect?+

Natively written text across 100+ languages and 190+ countries, with translation available on top.

Can you collect domain-specific text?+

Yes. Legal, medical, technical, financial, and consumer text, written by real contributors.

Do you have human-written data for AI-versus-human detection?+

Yes. Verified human-written text across domains and languages, a clean human reference.

How is it priced?+

We quote per project. The drivers are volume, languages, domains, exclusive versus licensed, and any add-ons. Send your brief and we will price it.

How does this compare to scraped or synthetic text?+

Scraped and synthetic text carry licensing risk and miss native nuance. Rwazi writes the real, native text your model will meet, owned at the source.

Where can I buy multilingual text datasets?+

Tell us the languages and fields you need, and Rwazi scopes a bespoke multilingual text dataset, written to spec and licensed or owned outright.