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Outreach

Besides publishing papers, we also share our research in other ways. We organize events such as tutorials and workshops related to our research areas. We release opensource projects and publish datasets related to our challenges.
Events
All Events
June 15Online tutorial "Efficient Data Annotation for Self-Driving Cars via Crowdsourcing on a Large-Scale" at CVPR 2020
We will present a data processing pipeline required for the self-driving cars to learn how to behave autonomously on the roads. We will also demonstrate how data annotation constitutes a crucial part that makes the learning process effective....more
Seattle, USA
Materials
June 14Online tutorial "Crowdsourcing Practice for Efficient Data Labeling: Aggregation, Incremental Relabeling, and Pricing" at SIGMOD 2020
We will make an introduction to data labeling via public crowdsourcing marketplaces and will present the key components of efficient label collection....more
Portland, USA
Materials
February 3Tutorial "Practice of Efficient Data Collection via Crowdsourcing: Aggregation, Incremental Relabelling, and Pricing" at WSDM 2020
In this tutorial, we present a portion of unique industry experience in efficient data labeling via crowdsourcing shared by leading researchers and engineers from Yandex....more
Houston, USA
Materials
Our Open source projects
All Open source projects
Datasets
All Datasets
Toloka Aggregation Features
The dataset contains about 60K crowdsourced labels for 1K tasks and groud truth labels for almost all the tasks. The task was to classify websites into 5 categories by the presence of adult content on them. Additionally, each task has 52 real-valued features that can be used to predict its category.
June 9, 2019
Yandex.Market, Learning to filter for sorting by price
The dataset contains 30K queries submitted to Yandex.Market for which the user chose ordering by price in ascending order. For each query, there are up to 500 cheapest documents with relevance scores.
June 7, 2019
Toloka Business ID Recognition
The dataset contains 10,000 photos of information signs outside of businesses and a text file with the INN (Taxpayer Identification Number) and OGRN (Business Registration Number) codes shown on the signs.
May 23, 2019
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