Datasette plugin for annotating / labelling your training data.
Install this plugin in the same environment as Datasette.
datasette install datasette-annotate
Only the root actor will have access to create (write) annotations.
You can start the annotation process by going to the /database_name/table_name/-/annotate page. This table should be configured to specify which annotation labels can be selected, see below. Annotations will be written to the table table_name_annotations.
To add annotations for a table it must have a primary key column. The possible labels for each table should be configured by adding the following settings to the metadata.json:
{
"databases": {
"my_database": {
"tables": {
"training_data": {
"plugins": {
"datasette-annotate": {
"labels": ["ABSTAIN", "HAM", "SPAM"]
}
}
}
}
}
}
}If you are using metadata.yml the configuration should look like this:
databases:
my_database:
tables:
training_data:
plugins:
datasette-annotate:
labels:
- ABSTAIN
- HAM
- SPAMTo set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-annotate
python3 -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest