Partner Data
AI Datasets Platform in Kazakhstan
Accelerating AI Development Through Open Data
Access government datasets, open source data, and more to kickstart your AI projects
AI Policy
Kazakhstan
Open Data
GovTech
AI Data
Open Sources
Partner Data
Open Sources
Cloud Support
Hub Perks
Public Administration Sector::
In Kazakhstan, there are over 183 information systems registered by central government bodies that ensure the collection and processing of data for government needs.
Financial Sector and Business:
Banking institutions, cloud-based customer services, and telecommunications companies also actively generate big data, contributing to the development of AI in the country.
Participate in AI Development
Become a Partner
Provide your data for AI development:
Share your datasets to support new AI projects and contribute to the development of innovative solutions in key industries.
Become a Partner of the AI Ecosystem
Unlock opportunities for collaboration with leading startups and experts by providing data for the development of practical and promising solutions.
Increase the Value of Your Data
Engage with AI projects at early stages and see how your data becomes the foundation for new technologies that align with your strategic goals.
WORKING WITH OPEN DATA
Types of Licenses
for Datasets
When working with datasets, it is important to understand the different licenses that govern their use.
Below is a brief overview of common licenses for datasets, from the most open to the most restrictive.
1. Public Domain Public
Domain Mark You can dedicate your dataset to the public domain, relinquishing all rights. This isn’t technically a license but a dedication of your work for unrestricted public use.
2. CC-0 (Creative Commons Public Domain Dedication)
Similar to the public domain, this license allows you to formally waive your rights, enabling anyone to use your dataset without restrictions.
3. PDDL (Open Data Commons Public Domain Dedication and License)
Another public domain-style license, PDDL enables dataset owners to surrender rights even if local law does not directly support public domain dedication.
4. CC-BY (Creative Commons Attribution 4.0 International)
This open license allows users to share and adapt your dataset, provided they give proper credit to you.
5. CDLA-Permissive-1.0 (Community Data License Agreement – Permissive)
This permissive license allows users to use, modify, and share your dataset as long as they credit you, with no restrictions on the results derived from computational use.
6. ODC-BY (Open Data Commons Attribution License)
Similar to CC-BY, this license allows users to share and adapt your dataset, requiring them to credit the original creator.
7. CC-BY-SA (Creative Commons Attribution-ShareAlike 4.0 International)
This license allows users to share and adapt your dataset while requiring any modifications or adaptations to be distributed under the same license. This "viral" license may deter others from using your dataset due to these conditions.
8. CDLA-Sharing-1.0 (Community Data License Agreement – Sharing)
Designed with copyleft principles, this license allows users to share your dataset and their modifications under the same license, ensuring any adaptations remain open and credited.
9. ODC-ODbL (Open Data Commons Open Database License)
Like CC-BY-SA, this license allows sharing and adapting the dataset while requiring modifications to remain under the same license. It can be considered a viral license due to its share-alike obligations.
10. CC BY-NC (Creative Commons Attribution-NonCommercial 4.0 International)
Users can share and adapt your dataset, but they must give credit and refrain from using it for commercial purposes.
11. CC BY-ND (Creative Commons Attribution-NoDerivatives 4.0 International)
Users can share your dataset with proper credit but cannot make any modifications or transformations.
12. CC BY-NC-SA (Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International)
This restrictive license allows sharing and adapting for non-commercial purposes only, while requiring any modifications to be licensed under the same terms.
13. CC BY-NC-ND (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International)
One of the most restrictive licenses, it allows only unmodified sharing for non-commercial purposes with proper credit. No adaptations are permitted.
14. Other License
Options If the license you require isn’t listed, you can specify your own terms under “Other” when creating your dataset.
15. No License
Specified Without a license, your dataset cannot legally be used, shared, or adapted by others.
Explore the Main Types of Data Used for AI Project Development
Other useful resources
Open sources of data and tools for AI research and development
Cloud Credits - Programs for Startups
Microsoft for Startups Founders Hub
Free access to OpenAI models, up to $150,000 in Azure credits
NVIDIA Inception Program
Special conditions for hardware and software products, cloud credits from NVIDIA partners
Google for Startups Cloud Program
Up to $200,000 ($350,000 for AI startups) in cloud credits over 2 years
Yandex Cloud Boost
Astana Hub resident companies can receive a grant to use the Yandex Cloud cloud platform with an availability zone in Kazakhstan.
Digital Ocean Hatch
Digital Ocean Hatch is DigitalOcean's global startup program that enables startups to grow and build in the cloud. Become a part of Hatch and receive up to $5,000 in credits on DigitalOcean's cloud platform for 12 months.
Open Datasets for Research and Development
ISSAI provides open datasets designed to support AI research and development. These datasets cover various fields, including speech recognition, natural language processing, and personalized dietary recommendations, and are important for the development of AI applications in Central Asia and beyond.
The "Open Data Kazakhstan" GitHub repository offers various open datasets related to Kazakhstan, including data on population, geographic boundaries, environmental data, and socio-economic indicators. These datasets are valuable for researchers, developers, and policymakers aiming to analyze trends and develop data-driven solutions in Kazakhstan.
Open Panda is a platform that collects the largest collection of open datasets across various fields, including healthcare, environment, genomics, and artificial intelligence. It allows researchers, developers, and data enthusiasts to access, explore, and utilize high-quality datasets to drive innovation and advancement in data science and AI applications.
PANDA is a gigapixel-level video dataset focused on people and intended for large-scale, long-term, multi-object visual analysis. Captured with a gigapixel camera, it features real-world scenes with high resolution and wide viewing angles. PANDA contains extensive annotations, making it ideal for studying human behavior, object detection, and interactions in large environments.
The Allen Institute for AI (AI2) offers a wide range of open datasets to promote AI research. These datasets cover various fields, including natural language processing, scientific literature, healthcare, and AI reasoning, supporting AI model development and accelerating innovation.
OpenML is a collaborative platform for sharing datasets, machine learning experiments, and models. It allows researchers and developers to easily access, share, and analyze data to enhance machine learning research and applications, fostering open science and reproducible AI.
Sigma.AI provides a collection of free, open datasets designed for use in machine learning experiments and projects. These datasets serve as the foundation for developing smarter AI systems, supporting model training and testing in various industries and applications.
The "LLM Datasets" repository offers high-quality datasets, tools, and concepts for fine-tuning large language models (LLMs). It includes carefully curated datasets for various tasks, such as general tasks, mathematics, logic, coding, and conversational data, to enhance the performance of AI models in different domains.
Cloud Solutions and Resources for Developers
Papers With Code is a platform that tracks the latest advancements in machine learning by linking academic papers with their code implementations. It provides access to datasets, methods, and state-of-the-art benchmarks, helping researchers and developers accelerate innovation and stay updated with the latest AI developments.
Arena is a platform for benchmarking and evaluating large language models (LLMs). It allows researchers and developers to compare the performance of various AI models through interactive evaluations, helping improve the efficiency and accuracy of language AI applications.
"Awesome AI Data GitHub Repos" is a carefully curated collection of the most important GitHub repositories for AI, machine learning, and data science professionals. It includes resources for natural language processing, computer vision, machine learning, MLOps, and other fields, helping professionals stay up to date with key tools and libraries.
"There's An AI For That" is a leading aggregator platform that collects and showcases an extensive collection of AI tools for various tasks and industries. The platform helps users find AI solutions for automation, creativity, business processes, and other areas, serving as a comprehensive guide for AI innovations.
"Awesome AI Agents" is a carefully curated GitHub repository that includes a list of autonomous AI agents. These agents are designed to perform tasks independently using AI models such as GPT-4. The repository includes popular agents like AutoGPT and BabyAGI, offering resources and tools for AI-based automation.
Awesome Public Datasets "Awesome Public Datasets" is a GitHub repository that gathers a vast collection of high-quality, domain-specific open datasets across various fields. It includes data on agriculture, biology, climate, economics, healthcare, machine learning, and other areas, serving as a valuable resource for researchers and developers.
"Awesome-LLM" is a carefully curated GitHub repository that includes resources, tools, datasets, and articles related to large language models (LLMs). It provides valuable information for training, deploying, and applying LLMs, including cutting-edge research, benchmarks, and open datasets.
LLMDataHub is a carefully curated collection of high-quality datasets for fine-tuning large language models (LLMs). It offers diverse datasets for training chatbots, alignment tasks, and domain-specific applications. The repository simplifies finding relevant data for AI research and development.
Cloud Solutions and Resources for Developers
The guide provides a comprehensive overview of the best cloud GPU providers, ranked by performance and cost-effectiveness. It lists the leading platforms offering cloud GPUs for AI, machine learning, and deep learning tasks, helping businesses and developers choose the best option for their computing needs.
"There's An AI For That" is a leading aggregator platform that collects and showcases an extensive collection of AI tools for various tasks and industries. The platform helps users find AI solutions for automation, creativity, business processes, and other areas, serving as a comprehensive guide for AI innovations.
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