{"id":25699510,"url":"https://github.com/abenezeradane/taxi","last_synced_at":"2026-06-12T13:31:02.272Z","repository":{"id":279142926,"uuid":"521818591","full_name":"abenezeradane/Taxi","owner":"abenezeradane","description":"An address parser implemented in Python using a trained spaCy NER model","archived":false,"fork":false,"pushed_at":"2022-08-22T04:18:25.000Z","size":48029,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-24T02:44:31.931Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Taxi\nAn address parser implemented in Python using a trained spaCy NER model\n\n### Installation\n```bash\n# Clone the repo\n$ git clone https://github.com/PB020/Taxi.git\n\n# Change the working directory\n$ cd taxi\n\n# Create virtual enviroment\n$ python -m venv .env\n$ .env\\Scripts\\activate\n$ pip install -U pip setuptools wheel\n\n# Install requirements\n$ pip install -r requirements.txt\n\n# Prepare the data\n$ python preparation.py \"data\\datasets\\us-train-dataset.csv\" [TRAINER]\n\n# Create training config\n$ python -m spacy init fill-config \"config\\base.cfg\" \"config\\config.cfg\"\n\n# Train model using data and config\n$ python -m spacy train [CONFIG] --output models --paths.train [TRAINER] --paths.dev [TRAINER]\n```\n\n### Usage\n#### `preparation.py`\n```bash\nusage: preparation.py [-h] dataset trainer\n\nPrepare training dataset to train spaCy address parser NER model\n\npositional arguments:\n  dataset     Filename of labeled CSV file used to generate training data\n  trainer     Filename of prepared DocBin training data\n```\n\n#### `predict.py`\n```bash\nusage: predict.py [-h] [--folder FOLDER] [--output OUTPUT] model data\n\nUse trained spaCy NER model to parse addresses from a given file\n\npositional arguments:\n  model            Path to the folder containing the trained model\n  data             Path to input data that needs to be parsed\n\noptional arguments:\n  -h, --help       show this help message and exit\n  --folder FOLDER  Option to recursively parse data from all files in a given directory\n  --output OUTPUT  Filename to save parsed data\n```\n\n#### Example Usage\n```bash\n# Single File Usage\n$ python predict.py \"models\\model-best\" \"data\\tests\\us-test-dataset.csv\"\n\n# Directory Usage\n$ python predict.py \"models\\model-best\" --folder FOLDER \"data\\tests\" --output \"output\\test.txt\"\n```\n\n### Dependencies\n- [spaCy](https://spacy.io)\n- [pandas](https://pandas.pydata.org)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabenezeradane%2Ftaxi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabenezeradane%2Ftaxi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabenezeradane%2Ftaxi/lists"}