Toloka-Kit is a Python library for working with Toloka API. The API allows you to build scalable and fully automated human-in-the-loop ML pipelines, and integrate them into your processes. The toolkit makes integration easier. You can use it with Jupyter Notebooks. Support for all common Toloka use cases: creating projects, adding pools, uploading tasks, and so on. Toloka entities are represented as Python classes. You can use them instead of accessing the API using JSON representations. There’s no need to validate JSON files and work with them directly. Support of both synchronous and asynchronous (via async/await) executions. Streaming support: build complex pipelines which send and receive data in real-time. For example, you can pass data between two related projects: one for data labeling, and another for its validation. AutoQuality feature which automatically finds the best fitting quality control rules for your project.
Features
- Support for all common Toloka use cases: creating projects, adding pools, uploading tasks, and so on
- Toloka entities are represented as Python classes. You can use them instead of accessing the API using JSON representations
- There’s no need to validate JSON files and work with them directly
- Support of both synchronous and asynchronous (via async/await) executions
- Streaming support: build complex pipelines which send and receive data in real time
- AutoQuality feature which automatically finds the best fitting quality control rules for your project