theme

Minimalistic CLI labeling tool for text classification

It allows for the rapid acquisition of manually labeled texts without the need to set up any large-scale labeling solution.

With the fewest requirements possible, one can get an initial dataset to train a text classification model.

Installation

pip install theme-label

Usage

To use Theme you will need:

• Path to .csv or pandas.DataFrame with at least two columns: the one with texts and their id's
• The following script

from theme import Theme

# This is the dict that maps
# what user enters to what goes
# to the table
id2label = {
    '0': 'ham',
    '1': 'spam'
}

# Here markup session is initialized
# data is loaded and everything prepared
t = Theme(
    id2label=id2label,
    text_col='text', # Name of the column with texts
    show_cols=['title'], # Additional fields to show during labeling
    unmarked_table='data.csv', # Our input table, can be pandas DataFrame
    marked_table='markup.csv', # Output table will have same columns with additional one for label
    label_col='label', # The name of additional column
    id_col='id', # The name of id column
)

# Here is how to start labeling session
t.run()

Labeling process

The info on number of already marked, unmarked and skipped presented to the user first. Then the available options are printed - which input stands for which class.

Finally there are some additional user-defined fields and the text to label. The user is prompted to choose the label.

If entered label is space, then the text is marked as skipped and will not appear in this session.
If entered label is b, then previous marked text is prompted instead of current one.
If entered label is empty the user is provided with another portion of the same text. If the label is not in the id2label the user is prompted to enter the label again.

Commands can be reassigned using parameters, see docstring in the file.

Advanced usage

See theme/theme.py for documentation.

Contributing

All contributions are welcome!
If you have any questions or feature requests feel free to open issues or submit PR's.

When adding functionality keep in mind that Theme is a minimalistic tool that should be kept simple and not too loaded with dependencies.

License

MIT License

Versions

This project uses Semantic Versioning - https://semver.org/

Cite

If you used Theme for your project, please cite with:

@software{ilia_moiseev_2024_12591750,
  author       = {Ilia Moiseev},
  title        = {Theme: Minimalistic CLI labeling tool for text classification},
  month        = jun,
  year         = 2024,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.12591750},
  url          = {https://doi.org/10.5281/zenodo.12591750}
}

Changelog

Here is the history of changes in Theme

v0.3.0

• Session time tracking
• Go back to skipped texts too
• Removes numpy from direct dependencies
• Clean exit on Ctrl+C
• Select session cache before the start
• More fields in metadata

v0.2.1

• Fixed missing last characters
• Informative error message
• Check if ids in id2label are strings

v0.2.0

• Command that allows getting another page of text
• Command keys are now customizable
• Skipped ids are cached on disk
• Write metadata about labeling
• Bugs fixed

v0.1.0

• First release of Theme
• Fixed size of text
• Simple labeling loop
• Mark, skip or go back while labeling