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For each dataset, the collection lists its size, scale, task, release year, and download link. It also separately marks resources that were announced but could not yet be independently verified.
Repositories like this make life much easier: instead of spending hours searching, you can quickly see what Kazakh-language data already exists and what you can use for your research or product.
If you know of a dataset that is not yet on the list, the repository is open for contributions: 🔗 https://github.com/Allessyer/awesome-kaz-datasets
Thanks to Asel for this work, and to Alen Issayev for helping develop it!
Gold: Dauzhan Beketov, Sultanbi Issatay Silver: Abu Kanabek and Alem Amenov. Bronze: Ulugbek Osmanov, Zhanibek Kassymkhan, Islamnur Kusainov and Dinmukhammed Yntyqbay.
Our team delivered excellent results! What’s more, Dauzhan didn’t just win gold—he placed second overall among all participants! This is a tremendous achievement!
We’re incredibly proud of our students and coaches!
Team members: Abu Kanabek, Dauzhan Beketov, Sultanbi Issatay, Islamnur Kussainov, Ulugbek Osmanov, Alem Amenov, Dinmukhammed Yntyqbay and Zhanibek Kassymkhan.
We spoke to digital business about the team behind IOAI 2026: how Anuar Aymoldin and Nurdaulet Akhanov joined IOAI’s international scientific committee, and how the Olympiad moved from Abu Dhabi to Astana.
The DSML team also finalized and deployed the tasks as the host scientific committee, led by Nurdaulet and joined by our residents: Zhuldyz-Zhan Sagimbayeva, Ayana Mussabayeva, Kamalzhan Artykbayev and Magauiya Zhussip.
We also discussed the rigorous selection process the participants went through to join the national team coached by Jimmy, Konoy, Daniil and Asel, as well as alternative competitions beyond traditional school Olympiads.
Since the end of June, the schedule has been very packed, with almost no chance for proper rest: we started with the first training camp, where the team was formed and the participants worked on Team Selection contests. Then came a week and a half break, followed immediately by EUROAI (where our residents performed excellently), and now, after just another week, we are at the second training camp.
The participants who passed all the selection rounds and reached the Team Selection stage are real monsters and are making strong progress in learning data science. Since the first camp, we have worked through a huge number of problems and covered various topics, from classical linear regression to the finer points of modern transformer design. The full breadth of this knowledge is essential for choosing the right tools to solve olympiad problems, where the key constraints are the number, quality, and speed of testable hypotheses. I really hope the participants’ hard work pays off, and I am immensely grateful to all the coaches who shared their expertise with them.