pr/3 (#3)

- Loading script + docs fixed for Raw Garden details (4827186a74357e29ac88c653ca6d601a5cf01543)

README.md

@@ -42,13 +42,13 @@ tags:
 
 ## Dataset Description
 
-- **Homepage:** <https://cannlytics.com>
+- **Homepage:** <https://github.com/cannlytics/cannlytics>
 - **Repository:** <https://huggingface.co/datasets/cannlytics/cannabis_tests>
 - **Point of Contact:** <dev@cannlytics.com>
 
 ### Dataset Summary
 
-This dataset is a collection of public cannabis lab test results parsed by CoADoc, a certificate of analysis (COA) parsing tool.
+This dataset is a collection of public cannabis lab test results parsed by `CoADoc`, a certificate of analysis (COA) parsing tool.
 
 ## Dataset Structure
 
@@ -63,24 +63,20 @@ The dataset is partitioned into the various sources of lab results.
 
 ### Data Instances
 
-You can load `details`, `results`, and `values` for each of the dataset files. For example:
+You can load the `details` for each of the dataset files. For example:
 
 ```py
 from datasets import load_dataset
 
-# Specify the Cannabis Tests dataset.
-dataset = 'cannlytics/cannabis_tests'
-
-# Load Raw Garden lab test details.
-rawgarden_details = load_dataset(dataset, 'rawgarden_details')
-
-# Load Raw Garden lab test results.
-rawgarden_results = load_dataset(dataset, 'rawgarden_results')
-
-# Load Raw Garden lab test values.
-rawgarden_values = load_dataset(dataset, 'rawgarden_values')
+# Download Raw Garden lab result details.
+dataset = load_dataset('cannlytics/cannabis_tests', 'rawgarden')
+details = dataset['details']
+assert len(details) > 0
+print('Downloaded %i observations.' % len(details))
 ```
 
+> Note: Configurations for `results` and `values` are planned. For now, you can create these data with `CoADoc().save(details, out_file)`.
+
 ### Data Fields
 
 Below is a non-exhaustive list of fields, used to standardize the various data that are encountered, that you may expect encounter in the parsed COA data.
@@ -147,7 +143,29 @@ Each result can contain the following fields.
 
 ### Data Splits
 
-The data is split into training, validation, and test data. Training data is used for training your models. Validation data is used for evaluating your trained models, to help you determine a final model. Test data is used to evaluate your final model.
+The data is split into `details`, `results`, and `values` data. Configurations for `results` and `values` are planned. For now, you can create these data with:
+
+```py
+from cannlytics.data.coas import CoADoc
+from datasets import load_dataset
+
+# Download Raw Garden lab result details.
+dataset = load_dataset('cannlytics/cannabis_tests', 'rawgarden')
+details = dataset['details']
+
+# Save the data locally with "Details", "Results", and "Values" worksheets.
+outfile = 'details.xlsx'
+parser = CoADoc()
+parser.save(details, outfile)
+
+# Read the values.
+values = pd.read_excel(outfile, sheet_name='Values')
+
+# Read the results.
+results = pd.read_excel(outfile, sheet_name='Results')
+```
+
+<!-- Training data is used for training your models. Validation data is used for evaluating your trained models, to help you determine a final model. Test data is used to evaluate your final model. -->
 
 ## Dataset Creation
 

cannabis_tests.py

@@ -6,14 +6,23 @@ Authors:
     Keegan Skeate <https://github.com/keeganskeate>
     Candace O'Sullivan-Sutherland <https://github.com/candy-o>
 Created: 9/10/2022
-Updated: 9/13/2022
+Updated: 9/14/2022
 License: <https://github.com/cannlytics/cannlytics/blob/main/LICENSE>
 """
-import datasets # pip install datasets
-# from datasets import Sequence, datasets.Value
+import datasets
+import pandas as pd
 
-# Citation for using the dataset.
-CANNABIS_TESTS_CITATION = """\
+
+# === Constants. ===
+
+_VERSION = '1.0.1'
+_HOMEPAGE = 'https://huggingface.co/datasets/cannlytics/cannabis_tests'
+_LICENSE = "https://opendatacommons.org/licenses/by/4-0/"
+_DESCRIPTION = """\
+Cannabis lab test results (https://cannlytics.com/data/tests) is a
+dataset of curated cannabis lab test results.
+"""
+_CITATION = """\
 @inproceedings{cannlytics2022cannabis_tests,
   author    = {Skeate, Keegan and O'Sullivan-Sutherland, Candace},
   title     = {Cannabis Tests: Curated Cannabis Lab Test Results},
@@ -24,178 +33,144 @@ CANNABIS_TESTS_CITATION = """\
   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://firebasestorage.googleapis.com/v0/b/cannlytics.appspot.com/o/data%2Flab_results%2Frawgarden%2Fdetails.csv?alt=media&token=e5b5273a-049a-4092-98d7-90a62ef399a3'
-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_DATA_URLS = {
+    'rawgarden': 'https://cannlytics.page.link/?link=https://firebasestorage.googleapis.com/v0/b/cannlytics.appspot.com/o/data%252Flab_results%252Frawgarden%252Fdetails.csv?alt%3Dmedia%26token%3De5b5273a-049a-4092-98d7-90a62ef399a3',
+    # 'rawgarden_details': 'https://cannlytics.page.link/?link=https://firebasestorage.googleapis.com/v0/b/cannlytics.appspot.com/o/data%252Flab_results%252Frawgarden%252Fdetails.csv?alt%3Dmedia%26token%3De5b5273a-049a-4092-98d7-90a62ef399a3',
+    # 'rawgarden_results': 'https://cannlytics.page.link/?link=https://firebasestorage.googleapis.com/v0/b/cannlytics.appspot.com/o/data%252Flab_results%252Frawgarden%252Fresults.csv?alt%3Dmedia%26token%3Ddd868e72-edde-4278-9725-b33368a35d54',
+    # 'rawgarden_values': 'https://cannlytics.page.link/?link=https://firebasestorage.googleapis.com/v0/b/cannlytics.appspot.com/o/data%252Flab_results%252Frawgarden%252Fvalues.csv?alt%3Dmedia%26token%3D5d427468-c33e-4e45-ae40-efd10fdca644',
+}
 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_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 = datasets.Features({
-    '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)
+    'sample_hash': datasets.Value(dtype='string'),
+    'results_hash': datasets.Value(dtype='string'),
+    'sample_id': datasets.Value(dtype='string'),
+    'product_name': datasets.Value(dtype='string'),
+    'producer': datasets.Value(dtype='string'),
+    'product_type': datasets.Value(dtype='string'),
+    'product_subtype': datasets.Value(dtype='string'),
+    'date_tested': datasets.Value(dtype='string'),
+    'analyses': datasets.Value(dtype='string'),
+    'batch_number': datasets.Value(dtype='string'),
+    'batch_size': datasets.Value(dtype='string'),
+    'batch_units': datasets.Value(dtype='string'),
+    'cannabinoids_method': datasets.Value(dtype='string'),
+    'cannabinoids_status': datasets.Value(dtype='string'),
+    'coa_algorithm': datasets.Value(dtype='string'),
+    'coa_algorithm_entry_point': datasets.Value(dtype='string'),
+    'coa_parsed_at': datasets.Value(dtype='string'),
+    'coa_pdf': datasets.Value(dtype='string'),
+    'coa_urls': datasets.Value(dtype='string'),
+    'date_collected': datasets.Value(dtype='string'),
+    'date_produced': datasets.Value(dtype='string'),
+    'date_received': datasets.Value(dtype='string'),
+    'date_retail': datasets.Value(dtype='string'),
+    'delta_9_thc_per_unit': datasets.Value(dtype='string'),
+    'distributor': datasets.Value(dtype='string'),
+    'distributor_address': datasets.Value(dtype='string'),
+    'distributor_city': datasets.Value(dtype='string'),
+    'distributor_license_number': datasets.Value(dtype='string'),
+    'distributor_state': datasets.Value(dtype='string'),
+    'distributor_street': datasets.Value(dtype='string'),
+    'distributor_zipcode': datasets.Value(dtype='float64'),
+    'foreign_matter_method': datasets.Value(dtype='string'),
+    'foreign_matter_status': datasets.Value(dtype='string'),
+    'heavy_metals_method': datasets.Value(dtype='string'),
+    'heavy_metals_status': datasets.Value(dtype='string'),
+    'images': datasets.Value(dtype='string'),
+    'lab': datasets.Value(dtype='string'),
+    'lab_address': datasets.Value(dtype='string'),
+    'lab_city': datasets.Value(dtype='string'),
+    'lab_county': datasets.Value(dtype='string'),
+    'lab_email': datasets.Value(dtype='string'),
+    'lab_id': datasets.Value(dtype='string'),
+    'lab_image_url': datasets.Value(dtype='string'),
+    'lab_latitude': datasets.Value(dtype='float64'),
+    'lab_license_number': datasets.Value(dtype='string'),
+    'lab_longitude': datasets.Value(dtype='float64'),
+    'lab_phone': datasets.Value(dtype='string'),
+    'lab_results_url': datasets.Value(dtype='string'),
+    'lab_state': datasets.Value(dtype='string'),
+    'lab_street': datasets.Value(dtype='string'),
+    'lab_website': datasets.Value(dtype='string'),
+    'lab_zipcode': datasets.Value(dtype='int64'),
+    'lims': datasets.Value(dtype='string'),
+    'metrc_ids': datasets.Value(dtype='string'),
+    'metrc_lab_id': datasets.Value(dtype='string'),
+    'metrc_source_id': datasets.Value(dtype='string'),
+    'microbes_method': datasets.Value(dtype='string'),
+    'microbes_status': datasets.Value(dtype='string'),
+    'moisture_content': datasets.Value(dtype='string'),
+    'moisture_method': datasets.Value(dtype='string'),
+    'mycotoxins_method': datasets.Value(dtype='string'),
+    'mycotoxins_status': datasets.Value(dtype='string'),
+    'notes': datasets.Value(dtype='string'),
+    'pesticides_method': datasets.Value(dtype='string'),
+    'pesticides_status': datasets.Value(dtype='string'),
+    'producer_address': datasets.Value(dtype='string'),
+    'producer_city': datasets.Value(dtype='string'),
+    'producer_image_url': datasets.Value(dtype='string'),
+    'producer_license_number': datasets.Value(dtype='string'),
+    'producer_state': datasets.Value(dtype='string'),
+    'producer_street': datasets.Value(dtype='string'),
+    'producer_url': datasets.Value(dtype='string'),
+    'producer_zipcode': datasets.Value(dtype='float64'),
+    'product_size': datasets.Value(dtype='string'),
+    'public': datasets.Value(dtype='float64'),
+    'residual_solvents_method': datasets.Value(dtype='string'),
+    'residual_solvents_status': datasets.Value(dtype='string'),
+    'results': datasets.Value(dtype='string'),
+    'sample_number': datasets.Value(dtype='float64'),
+    'sample_size': datasets.Value(dtype='string'),
+    'sampling_method': datasets.Value(dtype='string'),
+    'serving_size': datasets.Value(dtype='string'),
+    'status': datasets.Value(dtype='string'),
+    'sum_of_cannabinoids': datasets.Value(dtype='float64'),
+    'terpenes_method': datasets.Value(dtype='string'),
+    'terpenes_status': datasets.Value(dtype='string'),
+    'total_cannabinoids': datasets.Value(dtype='float64'),
+    'total_cbc': datasets.Value(dtype='float64'),
+    'total_cbd': datasets.Value(dtype='float64'),
+    'total_cbdv': datasets.Value(dtype='float64'),
+    'total_cbg': datasets.Value(dtype='float64'),
+    'total_terpenes': datasets.Value(dtype='float64'),
+    'total_terpenes_mg_g': datasets.Value(dtype='float64'),
+    'total_thc': datasets.Value(dtype='float64'),
+    'total_thcv': datasets.Value(dtype='float64'),
+    'url': datasets.Value(dtype='string'),
+    'water_activity_method': datasets.Value(dtype='string'),
+    'water_activity_status': datasets.Value(dtype='string')
 })
-# 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 = []
+# RAWGARDEN_RESULTS = datasets.Features({
+#     'sample_hash': datasets.Value(dtype='string'),
+#     'results_hash': datasets.Value(dtype='string'),
+#     'sample_id': datasets.Value(dtype='string'),
+#     'product_name': datasets.Value(dtype='string'),
+#     'producer': datasets.Value(dtype='string'),
+#     'product_type': datasets.Value(dtype='string'),
+#     'product_subtype': datasets.Value(dtype='string'),
+#     'date_tested': datasets.Value(dtype='string'),
+#     'analysis': datasets.Value(dtype='string'),
+#     'key': datasets.Value(dtype='string'),
+#     'limit': datasets.Value(dtype='double'),
+#     'lod': datasets.Value(dtype='double'),
+#     'lodloq': datasets.Value(dtype='double'),
+#     'loq': datasets.Value(dtype='double'),
+#     'margin_of_error': datasets.Value(dtype='double'),
+#     'mg_g': datasets.Value(dtype='double'),
+#     'name': datasets.Value(dtype='string'),
+#     'status': datasets.Value(dtype='string'),
+#     'units': datasets.Value(dtype='string'),
+#     'value': datasets.Value(dtype='double'),
+# })
+# TODO: Determine standard values?
+# RAWGARDEN_VALUES = datasets.Features({})
 
 
 class CannabisTestsConfig(datasets.BuilderConfig):
@@ -203,130 +178,84 @@ class CannabisTestsConfig(datasets.BuilderConfig):
 
     def __init__(
             self,
+            name,
+            description,
             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.
+            name (str): Configuration name that determines setup.
+            description (str): A description for the configuration.
+            **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
-
+        super().__init__(
+            name=name,
+            description=description,
+            **kwargs,
+        )
 
 class CannabisTests(datasets.GeneratorBasedBuilder):
     """The Cannabis Tests dataset."""
 
-    VERSION = datasets.Version('1.0.0')
-
+    VERSION = datasets.Version(_VERSION)
+    BUILDER_CONFIG_CLASS = CannabisTestsConfig
+    DEFAULT_CONFIG_NAME = 'rawgarden'
     BUILDER_CONFIGS = [
         CannabisTestsConfig(
-            name='rawgarden_details',
+            name='rawgarden',
             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,
+            features=self.config.features,
             supervised_keys=None,
-            license='CC-BY-4.0',
-            version='1.0.0',
-        )    
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            description=_DESCRIPTION,
+            license=_LICENSE,
+            version=_VERSION,
+        )
+    
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # Future work: Make `urls` source-dynamic based on config,
+        # i.e. allow for MCR Labs, SC Labs, etc.
+        config_name = self.config.name
+        urls = {config_name: RAWGARDEN_DATA_URLS[config_name]}
+        downloaded_files = dl_manager.download_and_extract(urls)
+        filepath = downloaded_files[config_name]
+        return [
+            datasets.SplitGenerator(
+                name='details',
+                gen_kwargs={'filepath': filepath},
+            ),
+            # Future work: Also return `results` and `values`?
+        ]
+    
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        with open(filepath) as f:
+            df = pd.read_csv(filepath)
+            for index, row in df.iterrows():
+                if self.config.name.endswith('results'):
+                    _id = index
+                else:
+                    _id = row['sample_hash']
+                obs = row.to_dict()
+                yield _id, obs
 
-    # 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__':
 
-# if __name__ == '__main__':
+    from datasets import load_dataset
 
-    # from datasets import load_dataset
-    # dataset = load_dataset('cannabis_tests.py')
+    # Download details.
+    dataset = load_dataset('cannabis_tests.py', 'rawgarden')
+    details = dataset['details']
+    assert len(details) > 0
+    print('Downloaded %i observations.' % len(details))