🪐 spaCy Project: Improving the quality of museums data

Object-labeling solution to improve Estonian museum information system.

📋 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 spaCy projects documentation.

⏯ Commands

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

Command	Description
preprocess	Preproccesses traing data for evaluation
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
test	Test the trained pipeline
clean	Remove intermediate files

⏭ Workflows

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

Workflow	Steps
all	preprocess → convert → train → evaluate → package

🗂 Assets

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

File	Source	Description
assets/unique_types.csv	Local	Types list
assets/train.csv	Local	Training data
assets/eval.csv	Local	Development data