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A dataset of multi-task prompts and responses in Korean, covering 10 categories: Rewriting, Summarization, Brainstorming, Creative Writing, Classification, Q&A,…
- Language
- Korean
- Volume
- —
- Domain
- Science & Research +1
- Use case
- Fine-tuning & instruction data
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[ ASSET CLASSES COVERED ] 📈 Hedge Funds – Liquid alternative strategies, including long/short, macro, CTA, arbitrage, event-driven and absolute-return strategies.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- —
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First-party, non-synthetic operational telemetry collected directly from Scriptores Helm LLC's Dell dual-Xeon LLM host and NVIDIA Tesla P100 PCIe 16 GB GPU during normal…
- Language
- —
- Volume
- —
- Domain
- Science & Research +2
- Use case
- —
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Authoring commands by native Malay speakers, covering 8 modules: Make phone calls, Play control, On-board control, Map, Music, Radio, Video, and Weather.
- Language
- Malay
- Volume
- —
- Domain
- Science & Research +3
- Use case
- —
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Provides prompts and detailed solutions for mathematical problems across probability, optimization, geometry, calculus, and applied mathematics.
- Language
- English
- Volume
- —
- Domain
- Education +1
- Use case
- —
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Authoring commands by native Mexican Spanish speakers, covering 8 modules: Make phone calls, Play control, On-board control, Map, Music, Radio, Video, and Weather.
- Language
- Spanish
- Volume
- —
- Domain
- Science & Research +3
- Use case
- —
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A multilingual STEM preference evaluation dataset built from STEM-domain questions and three AI-generated answers, with STEM majors providing scoring, feedback, and…
- Language
- Korean, Hindi +5
- Volume
- —
- Domain
- Technology & IT +2
- Use case
- Alignment & RLHF
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A multilingual STEM QA text dataset built from expert-level questions and answers in science, technology, engineering, and mathematics, reviewed and refined by STEM…
- Language
- Korean, Hindi +5
- Volume
- —
- Domain
- Technology & IT +2
- Use case
- Fine-tuning & instruction data
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The provider delivers high-quality, GDPR-compliant B2B user profiles for businesses targeting Nordic markets.
- Language
- —
- Volume
- —
- Domain
- Financial Services +2
- Use case
- —
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A dataset of multi-task prompts and responses in Brazilian Portuguese, covering 10 categories: Rewriting, Summarization, Brainstorming, Creative Writing, Classification,…
- Language
- Portuguese
- Volume
- —
- Domain
- Science & Research +1
- Use case
- Fine-tuning & instruction data
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A dataset of multi-task prompts and responses in European Portuguese, covering 10 categories: Rewriting, Summarization, Brainstorming, Creative Writing, Classification,…
- Language
- Portuguese
- Volume
- —
- Domain
- Science & Research +1
- Use case
- Fine-tuning & instruction data
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Authoring commands by native Portuguese speakers, covering 8 modules: Make phone calls, Play control, On-board control, Map, Music, Radio, Video, and Weather.
- Language
- Portuguese
- Volume
- —
- Domain
- Science & Research +3
- Use case
- —
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Authoring commands by native Russian speakers, covering 8 modules: Make phone calls, Play control, On-board control, Map, Music, Radio, Video, and Weather.
- Language
- Russian
- Volume
- —
- Domain
- Science & Research +3
- Use case
- —
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A dataset of multi-task prompts and responses in Spanish (Mexico), covering 10 categories: Rewriting, Summarization, Brainstorming, Creative Writing, Classification,…
- Language
- Spanish
- Volume
- —
- Domain
- Science & Research +1
- Use case
- Fine-tuning & instruction data
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A dataset of multi-task prompts and responses in Spanish (Spain), covering 10 categories: Rewriting, Summarization, Brainstorming, Creative Writing, Classification, Q&A,…
- Language
- Spanish
- Volume
- —
- Domain
- Science & Research +1
- Use case
- Fine-tuning & instruction data
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A high-difficulty reasoning and benchmark dataset constructed in accordance with Korea-specific HLE standards based on Thai encompassing advanced academic-level…
- Language
- Thai
- Volume
- —
- Domain
- Consumer & Lifestyle +10
- Use case
- Evaluation & benchmarking
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A high-difficulty text dataset developed to train expert-level reasoning in LLMs based on doctoral examination questions and solutions in Bengali.
- Language
- Bengali
- Volume
- —
- Domain
- Manufacturing & Industrial +1
- Use case
- Clinical NLP
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A benchmark text dataset developed for BFCL 3v function-calling evaluation based on Bengali.
- Language
- Bengali
- Volume
- —
- Domain
- Technology & IT +3
- Use case
- Evaluation & benchmarking
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A benchmark text dataset developed for BFCL 4v function-calling evaluation based on Bengali.
- Language
- Bengali
- Volume
- —
- Domain
- Technology & IT +2
- Use case
- Evaluation & benchmarking
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A benchmark text dataset developed to evaluate long-context processing capabilities based on Bengali.
- Language
- Bengali
- Volume
- —
- Domain
- Consumer & Lifestyle +10
- Use case
- Evaluation & benchmarking
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A multi-turn Chat Arena preference evaluation dataset compiled by collecting human preference judgments on AI model responses based on Bengali.
- Language
- Bengali
- Volume
- —
- Domain
- Consumer & Lifestyle +10
- Use case
- Alignment & RLHF
TextAdvertised
A single-turn Chat Arena preference evaluation dataset compiled by collecting human preference judgments on AI model responses based on Bengali.
- Language
- Bengali
- Volume
- —
- Domain
- Consumer & Lifestyle +10
- Use case
- Alignment & RLHF
TextAdvertised
An English text reasoning dataset of Chinese college entrance exam questions in math, physics, and chemistry, with each question paired with its key concepts, answer,…
- Language
- English
- Volume
- —
- Domain
- Manufacturing & Industrial +1
- Use case
- —
TextAdvertised
A high-difficulty text dataset built from doctoral-level exam questions and solutions to support LLM training for expert reasoning and problem solving.
- Language
- English
- Volume
- —
- Domain
- Manufacturing & Industrial +1
- Use case
- Clinical NLP