Unlock purpose-built datasets for seamless LLM fine-tuning
Start training with the dataset befitting your use case. Expert-vetted and ready to deploy, they support every stage of your AI lifecycle, from pretraining, fine-tuning, and benchmarking—enabling quick iteration from prototype to production.
Faster time-to-model
Enable rapid prototyping and reduce time and effort required to design proof-of-concepts or launch minimum viable products (MVPs), leading to more efficient AI deployment.
Faster
time-to-model
Enable rapid prototyping and reduce time and effort required to design proof-of-concepts or launch minimum viable products (MVPs), leading to more efficient AI deployment.
Quality and
benchmarking
Develop trustworthy models with peer-reviewed, industry-standard datasets that serve as reliable baselines for model performance and benchmarking.
Transfer
learning-ready
Pre-train foundation models with curated and diverse-rich datasets before fine-tuning them with domain-specific data to enable model adaptability in varying domains.
Accessible
diversity
Get instant access to ready datasets curated for real-world use cases, ranging from OCR and speech-to-text to logic, reasoning, and computational challenges.
Leverage industry-standard datasets for quicker AI deployment
Accelerate your AI with our growing library of proprietary, expert-curated datasets. Built for complex tasks including reasoning, computation, and logic, they offer a solid foundation to train and fine-tune faster, smarter models across multiple domains.
| DOMAIN | DATASET ID | USE CASE |
|---|---|---|
| Language | indonlu-eval-sealionv3-vs-sahabatai-v1-round2 | Performance evaluation of two models for tasks in Bahasa Indonesia, tested with over 50 challenges in language, domain knowledge, geography, and combination tasks. |
| Recruitment | Reasoning_Patterns_AI_Hiring_Bias_SEA | Hiring simulations across six AI models to capture decisions, confidence, levels, tone shifts, and bias signals. |
| Coding | advent_of_code_ecv_dataset | Improve contextual understanding of coding datasets by comparing the results of various approaches in coding challenges. |
| Education | STEM-en-ms | Bilingual dataset with tasks evaluating reasoning skills in Science, Technology, Engineering, and Mathematics (STEM) subjects. |
Smarter datasets, smarter results
Comprehensive and multimodal dataset for evaluating reasoning skills
Smarter datasets, smarter results
Comprehensive and multimodal dataset for evaluating reasoning skills
Deploy AI initiatives in tandem with growth
Stay agile with ready-to-deploy, applicable solutions designed for when you scale.
