build(deps): bump argilla from 1.29.1 to 2.0.1

[dependabot[bot]]

Bumps argilla from 1.29.1 to 2.0.1.

Release notes

Sourced from argilla's releases.

v2.0.1

What's Changed

🧹 Patch release of bug fixes and minor documentation and messaging improvements. Enjoy your summer while we change the world in v2.1.0.

Fixed

• Fixed error when creating optional fields. (#5362)
• Fixed error creating integer and float metadata with visible_for_annotators. (#5364)
• Fixed error when logging records with suggestions or responses for non-existent questions. (#5396 by @​maxserras)
• Fixed error from conflicts in testing suite when running tests in parallel. (#5349)
• Fixed error in response model when creating a response with a None value. (#5343)

Changed

• Changed from_hub method to raise an error when a dataset with the same name exists. (#5258)
• Changed log method when ingesting records with no known keys to raise a descriptive error. (#5356)
• Changed code snippets to add new datasets (#5395)

Added

• Added Google Analytics to the documentation site. (#5366)
• Added frontend skeletons to progress metrics to optimise load time and improve user experience. (#5391)
• Added documentation in methods in API references for the Python SDK. (#5400)

Full Changelog: https://github.com/argilla-io/argilla/compare/v2.0.0...v2.0.1

v2.0.0

🔆 Release highlights

One Dataset to rule them all

The main difference between Argilla 1.x and Argilla 2.x is that we've converted the previous dataset types tailored for specific NLP tasks into a single highly-configurable Dataset class.

With the new Dataset you can combine multiple fields and question types, so you can adapt the UI for your specific project. This offers you more flexibility, while making Argilla easier to learn and maintain.

[!IMPORTANT] If you want to continue using your legacy datasets in Argilla 2.x, you will need to convert them into v2 Dataset's as explained in this migration guide. This includes: DatasetForTextClassification, DatasetForTokenClassification, and DatasetForText2Text.

FeedbackDataset's do not need to be converted as they are already compatible with the Argilla v2 format.

New SDK & documentation

We've redesigned our SDK with the idea to adapt it to the new single Dataset and Record classes and, most importantly, improve the user and developer experience.

The main goal of the new design is to make the SDK easier to use and learn, making it simpler and faster to configure your dataset and get it up and running.

Here's an example of what creating a Dataset looks like:

import argilla as rg
from datasets import load_dataset
</tr></table>

... (truncated)

Commits

• c03edfb chore: change workspace in snippet
• 18b6ead chore: remove psychopg binary dependency
• c35f236 ✨ Fix unit test
• 7925669 🐛 Use space host instead of space id, because the URL should be sanitised
• 90c6f0d ✨ Update some links
• 4695c31 chore: add community contributor
• 8f0d9ef chore: update changelog
• a6fc011 [Docs] Update documentation and review docstrings (#5400)
• e97dced Fix 5381 feature improve unprocessableentityerror due to mis aligned id UUID ...
• 93abc78 fix lint
• Additional commits viewable in compare view

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