metadata

title: DataMeasurementsTool
emoji: 🤗
colorFrom: indigo
colorTo: red
sdk: gradio
sdk_version: 3.40.1
app_file: app.py
pinned: false
python_version: 3.9

Data Measurements Tool

🚧 Doing Construction 🚧

For more information, check out out blog post!

How to run:

After cloning (and potentially setting up your virtual environment), run:

pip install -r requirements.txt

This installs all the requirements for the tool.

Command Line Interface

From there, you can measure different aspects of different datasets by running run_data_measurements.py with different options. The options specify the HF Dataset, the Dataset config, the Dataset columns being measured, the measurements to use, and further details about caching and saving.

To see the full list of options, do:

python3 run_data_measurements.py -h or python3 run_data_measurements.py --help

Example for hate_speech18 dataset:

     `python3 run_data_measurements.py --dataset="hate_speech18" --config="default" --split="train" --feature="text"`

Example for getting just the nPMI measurement from hate_speech18:

     `python3 run_data_measurements.py --dataset=hate_speech18 --config default --split train --feature text --calculation npmi`

Example for IMDB dataset:

     `python3 run_data_measurements.py --dataset="imdb" --config="plain_text" --split="train" --label_field="label" --feature="text"`

User Interface

gradio app.py