Multilingual STEM Model Preference Evaluation Text Dataset
Overview
Multilingual STEM Model Preference Evaluation Text Dataset is a text dataset. It covers 7 languages, including Korean, Hindi, Indonesian, Arabic, Thai and 2 more. Typical applications include alignment & RLHF and evaluation & benchmarking. Relevant sectors: Technology & IT, Manufacturing & Industrial and Science & Research. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Regional coverage: Arabic (Egypt).
A multilingual STEM preference evaluation dataset built from STEM-domain questions and three AI-generated answers, with STEM majors providing scoring, feedback, and rewritten responses.
Technical specifications
- Modalities
- Text
- File formats
- Not specified by the provider
- Volume
- Not specified by the provider
- Languages
- Korean, Hindi, Indonesian, Arabic, Thai, Bengali, Japanese
Related datasets
More in Text & Language →Multimodal Data Engine: Annotation & Curation for High-Value AI (Thai)
The provider delivers a unified data development platform for creating production-ready datasets across the most demanding AI domains, including Physical AI (robotics,…
- Language
- Thai
- Volume
- —
- Domain
- Technology & IT +5
- Use case
- Fine-tuning & instruction data
More text & language datasets
All 776 text & language datasets →- Multilingual STEM QA Text Dataset
- Multimodal Data Engine: Annotation & Curation for High-Value AI (Bengali)
- Multimodal Data Engine: Annotation & Curation for High-Value AI (Dutch)
- Multimodal Data Engine: Annotation & Curation for High-Value AI (English)
- Multimodal Data Engine: Annotation & Curation for High-Value AI (French)
- Multimodal Data Engine: Annotation & Curation for High-Value AI (German)
- Multimodal Data Engine: Annotation & Curation for High-Value AI (Hindi)
- Multimodal Data Engine: Annotation & Curation for High-Value AI (Italian)
- Multimodal Data Engine: Annotation & Curation for High-Value AI (Japanese)