🔆 Highlights

New question types in Feedback Datasets

We've included two new question types in Feedback Datasets: LabelQuestion and MultiLabelQuestion. These are specially useful for applying one or multiple labels to a record, for example, for text classification tasks. In this new view, you can add multiple classification questions and even combine them with the other question types available in Feedback Datasets: RatingQuestion and TextQuestion.

Markdown support in Feedback Fields and Text Questions

You can now add the use_markdown=True tag to a TextField or a TextQuestion to have the UI render the text as markdown. You can use this to read and write code, tables or even add images.

Further improvements in Feedback Datasets

We continue to add improvements to our new Feedback Datasets:

• We've added checks to avoid having fields and questions with repeated names.
• Dataset cards generated using FeedbackDataset.push_to_huggingface(generate_card=True) now follow the official Hugging Face template.

Changelog 1.9.0

Added

• Added boolean use_markdown property to TextFieldSettings model (#3000)
• Added boolean use_markdown property to TextQuestionSettings model (#3000).
• Added new status draft for the Response model (#3033)
• Added LabelSelectionQuestionSettings class allowing to create label selection (single-choice) questions in the API (#3005)
• Added MultiLabelSelectionQuestionSettings class allowing to create multi-label selection (multi-choice) questions in the API (#3010).
• Added POST /api/v1/me/datasets/{dataset_id}/records/search endpoint (#3068).
• Added new components in feedback task Question form: MultiLabel (#3064) and SingleLabel (#3016).
• Added docstrings to the pydantic.BaseModels defined at argilla/client/feedback/schemas.py (#3137)

Changed

• Updated GET /api/v1/me/datasets/:dataset_id/metrics output payload to include the count of responses with draft status (#3033)
• Database setup for unit tests. Now the unit tests use a different database than the one used by the local Argilla server (Closes #2987).
• Updated alembic setup to be able to autogenerate revision/migration scripts using SQLAlchemy metadata from Argilla server models (#3044)
• Improved DatasetCard generation on FeedbackDataset.push_to_huggingface when generate_card=True, following the official HuggingFace Hub template, but suited to FeedbackDatasets from Argilla (#3110)

Fixed

• Disallow fields and questions in FeedbackDataset with the same name (#3126).

As always, thanks to our amazing contributors!

• @gitrock made their first contribution in https://github.com/argilla-io/argilla/pull/3091
• @ChadDa3mon made their first contribution in https://github.com/argilla-io/argilla/pull/3092