Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
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Published by frascuchon almost 3 years ago
Full Changelog: https://github.com/recognai/rubrix/compare/v0.6.1...v0.6.2
Published by frascuchon almost 3 years ago
Full Changelog: https://github.com/recognai/rubrix/compare/v0.6.1...v0.6.2-alpha.0
Published by frascuchon almost 3 years ago
Full Changelog: https://github.com/recognai/rubrix/compare/v0.6.0...v0.6.1-alpha.0
Published by frascuchon almost 3 years ago
Full Changelog: https://github.com/recognai/rubrix/compare/v0.6.0...v0.6.1-alpha.0
Published by frascuchon almost 3 years ago
Largely improved user experience and UI for text2text tasks.
Added initial support for leveraging weak supervision for text classification, check this guide to get started: https://rubrix.readthedocs.io/en/stable/guides/weak-supervision.html
Introduced Rubrix Metrics, a new feature for fine-grained analysis of token classification models, inspired by recent works on fine-grained model and dataset evaluation like Explainaboard.
Guide: https://rubrix.readthedocs.io/en/stable/guides/metrics.html
API reference: https://rubrix.readthedocs.io/en/stable/reference/python/python_metrics.html
rubrix.load
by @dcfidalgo in https://github.com/recognai/rubrix/pull/513
Full Changelog: https://github.com/recognai/rubrix/compare/v0.5.0...v0.6.0
Published by frascuchon almost 3 years ago
Largely improved user experience and UI for text2text tasks.
Added initial support for leveraging weak supervision for text classification, check this guide to get started: https://rubrix.readthedocs.io/en/stable/guides/weak-supervision.html
Introduced Rubrix Metrics, a new feature for fine-grained analysis of token classification models, inspired by recent works on fine-grained model and dataset evaluation like Explainaboard.
Guide: https://rubrix.readthedocs.io/en/stable/guides/metrics.html
API reference: https://rubrix.readthedocs.io/en/stable/reference/python/python_metrics.html
rubrix.load
by @dcfidalgo in https://github.com/recognai/rubrix/pull/513
Full Changelog: https://github.com/recognai/rubrix/compare/v0.5.0...v0.6.0-alpha.1
Published by frascuchon almost 3 years ago
rubrix.load
(#513)Published by frascuchon about 3 years ago
Kudos @krishnajalan and @issam9
Published by frascuchon about 3 years ago
Kudos @krishnajalan and @issam9
Published by frascuchon about 3 years ago
Published by frascuchon about 3 years ago
Published by frascuchon about 3 years ago
Published by frascuchon about 3 years ago
Published by frascuchon about 3 years ago
Now it's possible to configure several users for your Rubrix instance.
This feature enables having multiple users for annotation projects and each annotation will be recorded in the annotation_agent
field.
How-to guide: https://rubrix.readthedocs.io/en/stable/getting_started/advanced_setup_guides.html#user-management
The main change for all users is that you need to login in the UI with the default user/pass (which can be also configured).
Now it's possible to efficiently create a dataset copy using the rb.copy
method.
This is useful for replicating a dataset for further analysis, or for creating several copies for different annotators.
See https://rubrix.readthedocs.io/en/stable/reference/python_client_api.html#rubrix.copy
Published by frascuchon about 3 years ago
Published by frascuchon about 3 years ago
Published by frascuchon about 3 years ago
Published by frascuchon about 3 years ago
Published by frascuchon about 3 years ago
Published by frascuchon over 3 years ago