Datasets

In today's world, a vast amount of data is being generated daily. However, the availability of data that can be obtained and used for data science competitions is limited. Therefore, at bitgrit, we believe that creating data through our own community is valuable.

Our bitgrit community consists of engineers with diverse backgrounds in machine learning, DevOps, web, network, and more. As a result, it is possible to create datasets utilising the skill sets of community participants, which may include synthesising new data from existing sources. By conducting competitions utilising these newly created datasets (the challenges themselves can also be sourced from the community), the range of problems that can be solved through data science competitions expands significantly.

Community participants who create and publish datasets for use by the bitgrit community, can receive BGR for their participation in the community (community participation related to datasets include evaluating and improving datasets). This could offer additional future benefits if the users choose to place their created datasets on the marketplace.

In today's world, a vast amount of data is being generated daily. However, the availability of data that can be obtained and used for data science competitions is limited. Therefore, at bitgrit, we believe that creating data through our own community is valuable.

Our bitgrit community consists of engineers with diverse backgrounds in machine learning, DevOps, web, network, and more. As a result, it is possible to create datasets utilising the skill sets of community participants, which may include synthesising new data from existing sources. By conducting competitions utilising these newly created datasets (the challenges themselves can also be sourced from the community), the range of problems that can be solved through data science competitions expands significantly.

Community participants who create and publish datasets for use by the bitgrit community, can receive BGR for their participation in the community (community participation related to datasets include evaluating and improving datasets). This could offer additional future benefits if the users choose to place their created datasets on the marketplace.