toloka-kit

Toloka has a powerful open API, it allows you to integrate an on-demand workforce directly into your processes, and to build scalable and fully automated human-in-the-loop ML pipelines. This toolkit makes the integration even easier, e.g. allows using all power of Toloka from Jupyter Notebooks.

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Apache 2.0

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Toloka-Kit

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Documentation

Website | API Documentation | Platform

Designed by engineers for engineers, Toloka lets you integrate an on-demand workforce directly into your processes. Our cloud-based crowdsourcing platform is a fast and efficient way to collect and label large data sources for machine learning and other business purposes.

Main advantages of Toloka:

  • Top-quality data - Collect and annotate training data that meets and exceeds industry quality standards thanks to multiple quality control methods and mechanisms available in Toloka.
  • Scalable projects - Have any amounts of image, text, speech, audio, or video data collected and labeled for you by millions of skilled Toloka users across the globe.
  • Cost-efficiency - Save time and money with this purpose-built platform for handling large-scale data collection and annotation projects, on-demand 24/7, at your own price and within your timeframe.
  • Free, powerful API - Build scalable and fully automated human-in-the-loop machine learning pipelines with a powerful open API.

Requirements

How to get OAuth token

Get Started

Installing toloka-kit is as easy as:

$ pip install toloka-kit

Note: this project is still under heavy development and interfaces may change slightly. For production environments please specify exact package version. For example: toloka-kit==0.1.8

Try your first program and checks the validity of the OAuth token:

import toloka.client as toloka

toloka_client = toloka.TolokaClient(input("Enter your token:"), 'PRODUCTION')
print(toloka_client.get_requester())

Questions and bug reports

Contributing

Feel free to contribute to toloka-kit. Right now, we really need more usage examples.

License

© YANDEX LLC, 2020-2021. Licensed under the Apache License, Version 2.0. See LICENSE file for more details.

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