textcat_multilabel_demo

🪐 Weasel Project: Demo Multilabel Textcat (Text Classification)

A minimal demo textcat_multilabel project for spaCy v3.

📋 project.yml

The project.yml defines the data assets required by the project, as well as the available commands and workflows. For details, see the Weasel documentation.

⏯ Commands

The following commands are defined by the project. They can be executed using weasel run [name]. Commands are only re-run if their inputs have changed.

Command	Description
convert	Convert the data to spaCy's binary format
train	Train the textcat model
evaluate	Evaluate the model and export metrics
package	Package the trained model as a pip package
visualize-model	Visualize the model's output interactively using Streamlit

⏭ Workflows

The following workflows are defined by the project. They can be executed using weasel run [name] and will run the specified commands in order. Commands are only re-run if their inputs have changed.

Workflow	Steps
all	convert → train → evaluate → package

🗂 Assets

The following assets are defined by the project. They can be fetched by running weasel assets in the project directory.

File	Source	Description
assets/cooking-train.jsonl	Local	Training data from cooking.stackexchange.com
assets/cooking-dev.jsonl	Local	Development data from cooking.stackexchange.com