""" Cannabis Tests Copyright (c) 2022 Cannlytics Authors: Keegan Skeate Candace O'Sullivan-Sutherland Created: 9/10/2022 Updated: 9/13/2022 License: """ import datasets # pip install datasets # from datasets import Sequence, datasets.Value # Citation for using the dataset. CANNABIS_TESTS_CITATION = """\ @inproceedings{cannlytics2022cannabis_tests, author = {Skeate, Keegan and O'Sullivan-Sutherland, Candace}, title = {Cannabis Tests: Curated Cannabis Lab Test Results}, booktitle = {Cannabis Data Science}, month = {September}, year = {2022}, address = {United States of America}, publisher = {Cannlytics} } """ CANNABIS_TESTS_DESCRIPTION = """\ Cannabis lab test results (https://cannlytics.com/data/tests) is a dataset of curated cannabis lab test results. """ CANNABIS_TESTS_URL = 'https://huggingface.co/datasets/cannlytics/cannabis_tests' # Raw Garden constants. # RAWGARDEN_DATA_URL = 'https://cannlytics.page.link/rawgarden' RAWGARDEN_DETAILS_URL = 'https://cannlytics.page.link/rawgarden-details' RAWGARDEN_RESULTS_URL = 'https://cannlytics.page.link/rawgarden-results' RAWGARDEN_VALUES_URL = 'https://cannlytics.page.link/rawgarden-values' RAWGARDEN_URL = 'https://github.com/cannlytics/cannlytics/tree/main/ai/curation/get_rawgarden_data' RAWGARDEN_DESCRIPTION = """\ Raw Garden lab test results (https://cannlytics.com/data/tests) is a dataset of curated cannabis lab test results from Raw Garden, a large cannabis processor in California. """ RAWGARDEN_FEATURES = [] RAWGARDEN_RESULTS = { 'sample_hash': datasets.Value(dtype='string', id=None), 'results_hash': datasets.Value(dtype='string', id=None), 'sample_id': datasets.Value(dtype='string', id=None), 'product_name': datasets.Value(dtype='string', id=None), 'producer': datasets.Value(dtype='string', id=None), 'product_type': datasets.Value(dtype='string', id=None), 'product_subtype': datasets.Value(dtype='string', id=None), 'date_tested': datasets.Value(dtype='string', id=None), 'analysis': datasets.Value(dtype='string', id=None), 'key': datasets.Value(dtype='string', id=None), 'limit': datasets.Value(dtype='double', id=None), 'lod': datasets.Value(dtype='double', id=None), 'lodloq': datasets.Value(dtype='double', id=None), 'loq': datasets.Value(dtype='double', id=None), 'margin_of_error': datasets.Value(dtype='double', id=None), 'mg_g': datasets.Value(dtype='double', id=None), 'name': datasets.Value(dtype='string', id=None), 'status': datasets.Value(dtype='string', id=None), 'units': datasets.Value(dtype='string', id=None), 'value': datasets.Value(dtype='double', id=None), } RAWGARDEN_DETAILS = { 'sample_hash': datasets.Value(dtype='string', id=None), 'results_hash': datasets.Value(dtype='string', id=None), 'sample_id': datasets.Value(dtype='string', id=None), 'product_name': datasets.Value(dtype='string', id=None), 'producer': datasets.Value(dtype='string', id=None), 'product_type': datasets.Value(dtype='string', id=None), 'product_subtype': datasets.Value(dtype='string', id=None), 'date_tested': datasets.Value(dtype='string', id=None), 'analyses': datasets.Value(dtype='string', id=None), 'batch_number': datasets.Value(dtype='string', id=None), 'batch_size': datasets.Value(dtype='string', id=None), 'batch_units': datasets.Value(dtype='string', id=None), 'cannabinoids_method': datasets.Value(dtype='string', id=None), 'cannabinoids_status': datasets.Value(dtype='string', id=None), 'coa_algorithm': datasets.Value(dtype='string', id=None), 'coa_algorithm_entry_point': datasets.Value(dtype='string', id=None), 'coa_parsed_at': datasets.Value(dtype='string', id=None), 'coa_pdf': datasets.Value(dtype='string', id=None), 'coa_urls': datasets.Value(dtype='string', id=None), 'date_collected': datasets.Value(dtype='string', id=None), 'date_produced': datasets.Value(dtype='string', id=None), 'date_received': datasets.Value(dtype='string', id=None), 'date_retail': datasets.Value(dtype='string', id=None), 'delta_9_thc_per_unit': datasets.Value(dtype='string', id=None), 'distributor': datasets.Value(dtype='string', id=None), 'distributor_address': datasets.Value(dtype='string', id=None), 'distributor_city': datasets.Value(dtype='string', id=None), 'distributor_license_number': datasets.Value(dtype='string', id=None), 'distributor_state': datasets.Value(dtype='string', id=None), 'distributor_street': datasets.Value(dtype='string', id=None), 'distributor_zipcode': datasets.Value(dtype='float64', id=None), 'foreign_matter_method': datasets.Value(dtype='string', id=None), 'foreign_matter_status': datasets.Value(dtype='string', id=None), 'heavy_metals_method': datasets.Value(dtype='string', id=None), 'heavy_metals_status': datasets.Value(dtype='string', id=None), 'images': datasets.Value(dtype='string', id=None), 'lab': datasets.Value(dtype='string', id=None), 'lab_address': datasets.Value(dtype='string', id=None), 'lab_city': datasets.Value(dtype='string', id=None), 'lab_county': datasets.Value(dtype='string', id=None), 'lab_email': datasets.Value(dtype='string', id=None), 'lab_id': datasets.Value(dtype='string', id=None), 'lab_image_url': datasets.Value(dtype='string', id=None), 'lab_latitude': datasets.Value(dtype='float64', id=None), 'lab_license_number': datasets.Value(dtype='string', id=None), 'lab_longitude': datasets.Value(dtype='float64', id=None), 'lab_phone': datasets.Value(dtype='string', id=None), 'lab_results_url': datasets.Value(dtype='string', id=None), 'lab_state': datasets.Value(dtype='string', id=None), 'lab_street': datasets.Value(dtype='string', id=None), 'lab_website': datasets.Value(dtype='string', id=None), 'lab_zipcode': datasets.Value(dtype='int64', id=None), 'lims': datasets.Value(dtype='string', id=None), 'metrc_ids': datasets.Value(dtype='string', id=None), 'metrc_lab_id': datasets.Value(dtype='string', id=None), 'metrc_source_id': datasets.Value(dtype='string', id=None), 'microbes_method': datasets.Value(dtype='string', id=None), 'microbes_status': datasets.Value(dtype='string', id=None), 'moisture_content': datasets.Value(dtype='string', id=None), 'moisture_method': datasets.Value(dtype='string', id=None), 'mycotoxins_method': datasets.Value(dtype='string', id=None), 'mycotoxins_status': datasets.Value(dtype='string', id=None), 'notes': datasets.Value(dtype='string', id=None), 'pesticides_method': datasets.Value(dtype='string', id=None), 'pesticides_status': datasets.Value(dtype='string', id=None), 'producer_address': datasets.Value(dtype='string', id=None), 'producer_city': datasets.Value(dtype='string', id=None), 'producer_image_url': datasets.Value(dtype='string', id=None), 'producer_license_number': datasets.Value(dtype='string', id=None), 'producer_state': datasets.Value(dtype='string', id=None), 'producer_street': datasets.Value(dtype='string', id=None), 'producer_url': datasets.Value(dtype='string', id=None), 'producer_zipcode': datasets.Value(dtype='float64', id=None), 'product_size': datasets.Value(dtype='string', id=None), 'public': datasets.Value(dtype='float64', id=None), 'residual_solvents_method': datasets.Value(dtype='string', id=None), 'residual_solvents_status': datasets.Value(dtype='string', id=None), 'results': datasets.Value(dtype='string', id=None), 'sample_number': datasets.Value(dtype='float64', id=None), 'sample_size': datasets.Value(dtype='string', id=None), 'sampling_method': datasets.Value(dtype='string', id=None), 'serving_size': datasets.Value(dtype='string', id=None), 'status': datasets.Value(dtype='string', id=None), 'sum_of_cannabinoids': datasets.Value(dtype='float64', id=None), 'terpenes_method': datasets.Value(dtype='string', id=None), 'terpenes_status': datasets.Value(dtype='string', id=None), 'total_cannabinoids': datasets.Value(dtype='float64', id=None), 'total_cbc': datasets.Value(dtype='float64', id=None), 'total_cbd': datasets.Value(dtype='float64', id=None), 'total_cbdv': datasets.Value(dtype='float64', id=None), 'total_cbg': datasets.Value(dtype='float64', id=None), 'total_terpenes': datasets.Value(dtype='float64', id=None), 'total_terpenes_mg_g': datasets.Value(dtype='float64', id=None), 'total_thc': datasets.Value(dtype='float64', id=None), 'total_thcv': datasets.Value(dtype='float64', id=None), 'url': datasets.Value(dtype='string', id=None), 'water_activity_method': datasets.Value(dtype='string', id=None), 'water_activity_status': datasets.Value(dtype='string', id=None) } # RAWGARDEN_VALUES = { # 'delta_9_thc': datasets.Value(dtype='float64', id=None), # } # MCR Labs constants. MCRLABS_DATA_URL = 'https://cannlytics.page.link/mcrlabs' MCRLABS_URL = 'https://github.com/cannlytics/cannlytics/tree/main/ai/curation/get_mcr_labs_data' MCRLABS_DESCRIPTION = """\ MCR Labs lab test results (https://cannlytics.com/data/tests) is a dataset of curated cannabis lab test results from MCR Labs, a lab that tests cannabis in Massachusetts. """ MCRLABS_FEATURES = [] # PSI Labs constants. PSILABS_DATA_URL = 'https://cannlytics.page.link/psilabs' PSILABS_URL = 'https://github.com/cannlytics/cannlytics/tree/main/ai/curation/get_psi_labs_data' PSILABS_DESCRIPTION = """\ PSI Labs lab test results (https://cannlytics.com/data/tests) is a dataset of curated cannabis lab test results from PSI Labs, a lab that tests cannabis in Michigan. """ PSILABS_FEATURES = [] # SC Labs constants. SCLABS_DATA_URL = 'https://cannlytics.page.link/sclabs' SCLABS_URL = 'https://github.com/cannlytics/cannlytics/tree/main/ai/curation/get_sc_labs_data' SCLABS_DESCRIPTION = """\ SC Labs lab test results (https://cannlytics.com/data/tests) is a dataset of curated cannabis lab test results from SC Labs, a lab that tests cannabis in California. """ SCLABS_FEATURES = [] class CannabisTestsConfig(datasets.BuilderConfig): """BuilderConfig for Cannabis Tests.""" def __init__( self, features, data_url, citation, url, label_classes=('False', 'True'), **kwargs ): """BuilderConfig for Cannabis Tests. Args: features (list[str]): A list of the features that will appear in the feature dict. Should not include "label". data_url (str): A URL to download the zip file from. citation (str): A citation for the data set. url (str): A URL for information about the data set. label_classes (list[str]): The list of classes for the label if the label is present as a string. Non-string labels will be cast to either 'False' or 'True'. **kwargs: Keyword arguments forwarded to super. """ super(CannabisTestsConfig, self).__init__(version=datasets.Version("1.0.2"), **kwargs) self.features = features self.label_classes = label_classes self.data_url = data_url self.citation = citation self.url = url class CannabisTests(datasets.GeneratorBasedBuilder): """The Cannabis Tests dataset.""" VERSION = datasets.Version('1.0.0') BUILDER_CONFIGS = [ CannabisTestsConfig( name='rawgarden_details', description=RAWGARDEN_DESCRIPTION, features=RAWGARDEN_DETAILS, data_url=RAWGARDEN_DETAILS_URL, citation=CANNABIS_TESTS_CITATION, url=RAWGARDEN_URL, ), # CannabisTestsConfig( # name='rawgarden_results', # description=RAWGARDEN_DESCRIPTION, # features=RAWGARDEN_RESULTS, # data_url=RAWGARDEN_RESULTS_URL, # citation=CANNABIS_TESTS_CITATION, # url=RAWGARDEN_URL, # ), # CannabisTestsConfig( # name='rawgarden_values', # description=RAWGARDEN_DESCRIPTION, # features=RAWGARDEN_VALUES, # data_url=RAWGARDEN_VALUES_URL, # citation=CANNABIS_TESTS_CITATION, # url=RAWGARDEN_URL, # ), # CannabisTestsConfig( # name='mcrlabs', # description=MCRLABS_DESCRIPTION, # features=MCRLABS_FEATURES, # data_url=MCRLABS_DATA_URL, # citation=CANNABIS_TESTS_CITATION, # url=MCRLABS_URL, # ), # CannabisTestsConfig( # name='psilabs', # description=PSILABS_DESCRIPTION, # features=PSILABS_FEATURES, # data_url=PSILABS_DATA_URL, # citation=CANNABIS_TESTS_CITATION, # url=PSILABS_URL, # ), # CannabisTestsConfig( # name='sclabs', # description=SCLABS_DESCRIPTION, # features=SCLABS_FEATURES, # data_url=SCLABS_DATA_URL, # citation=CANNABIS_TESTS_CITATION, # url=SCLABS_URL, # ), ] DEFAULT_CONFIG_NAME = 'rawgarden_details' def _info(self): # features = {feature: datasets.datasets.Value('string') for feature in self.config.features} # TODO: Define all numeric features. # features['span1_index'] = datasets.datasets.Value('int32') # TODO: Define all image features. # TODO: Define all sequence features. # features["answers"] = datasets.features.Sequence( # {"text": datasets.datasets.Value("string"), "answer_start": datasets.datasets.Value("int32"),} # ) return datasets.DatasetInfo( citation=CANNABIS_TESTS_CITATION, description=CANNABIS_TESTS_DESCRIPTION, features=RAWGARDEN_DETAILS, homepage=CANNABIS_TESTS_URL, supervised_keys=None, ) # def _generate_examples(self, filepath): # """This function returns the examples in raw (text) form.""" # with open(filepath, encoding='utf-8') as f: # for line in f: # row = json.loads(line) # product_name = row.get('product_name', '').strip() # for i, result in enumerate(row['results']): # _id = str(i) # yield _id, { # 'product_name': product_name, # 'analyte': result.get('key', ''), # 'value': result.get('value', 0), # } # if __name__ == '__main__': # from datasets import load_dataset # dataset = load_dataset('cannabis_tests.py')