datacollective 0.3.0

A Python package for interfacing with the Mozilla Data Collective's API

Mozilla Data Collective Python API Library

Python library for interfacing with the Mozilla Data Collective REST API.

Installation

pip install datacollective

Quick Start

IMPORTANT NOTE: Before trying to access any dataset, make sure you have thoroughly read and agreed to the specific dataset's conditions & licensing terms.

1. Get your API key from the Mozilla Data Collective dashboard

2. Set the API key in your environment variable:

Option A: Run this command in your terminal (replace your-api-key-here with your actual API key):

export MDC_API_KEY=your-api-key-here

Option B: Create a .env file in your project directory and add this line:

MDC_API_KEY=your-api-key-here

3. Get your dataset ID from the last section of the dataset URL at the MDC website.

[!TIP] You can find the dataset-id by looking at the URL of the dataset's page on MDC platform. The ID is the unique string of characters located at the very end of the URL, after the /datasets/ path. For example, for URL https://datacollective.mozillafoundation.org/datasets/cminc35no007no707hql26lzk dataset id will be cminc35no007no707hql26lzk.

4. Save a dataset locally:

from datacollective import save_dataset_to_disk

dataset_path = save_dataset_to_disk("your-dataset-id")

[!TIP] Automatic Resume: If a download is interrupted (e.g., due to a network error or it gets stopped it manually), the next time you try download the same dataset at the same folder location, we will automatically resume from where the download left off!

5. Get information & metadata about a dataset:

from datacollective import get_dataset_details

details = get_dataset_details("your-dataset-id")

6. Load the dataset into a pandas DataFrame (Only Common Voice datasets are supported right now):

from datacollective import load_dataset

dataset = load_dataset("your-dataset-id")

For more details, visit our docs

License

This project is released under MPL (Mozilla Public License) 2.0.