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--- |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- expert-generated |
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license: |
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- cc-by-4.0 |
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pretty_name: cannabis_licenses |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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tags: |
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- cannabis |
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- licenses |
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- licensees |
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--- |
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# Cannabis Licenses, Curated by Cannlytics |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Data Collection and Normalization](#data-collection-and-normalization) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [License](#license) |
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- [Citation](#citation) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** <https://github.com/cannlytics/cannlytics> |
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- **Repository:** <https://huggingface.co/datasets/cannlytics/cannabis_licenses> |
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- **Point of Contact:** <dev@cannlytics.com> |
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### Dataset Summary |
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This dataset is a collection of cannabis license data for the licensees that have been permitted in the United States. |
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## Dataset Structure |
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The dataset is partitioned into subsets for each state. |
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| State | Licenses | |
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|-------|----------| |
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| [Alaska](#) | | |
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| [Arizona](#) | | |
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| [California](#) | ✅ | |
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| [Colorado](#) | | |
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| [Connecticut](#) | | |
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| [District of Columbia](#) | | |
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| [Illinois](#) | | |
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| [Maine](#) | | |
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| [Massachusetts](#) | | |
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| [Michigan](#) | | |
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| [Montana](#) | | |
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| [Nevada](#) | | |
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| [New Hampshire](#) | | |
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| [New Jersey](#) | | |
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| [New Mexico](#) | | |
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| [New York](#) | | |
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| [Oregon](#) | ✅ | |
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| [Rhode Island](#) | | |
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| [Vermont](#) | | |
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| [Washington](#) | | |
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### Data Instances |
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You can load the licenses for each state. For example: |
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```py |
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from datasets import load_dataset |
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# Get the licenses for a specific state. |
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dataset = load_dataset('cannlytics/cannabis_licenses', 'ca') |
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data = dataset['data'] |
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assert len(data) > 0 |
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print('%i licenses.' % len(data)) |
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``` |
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### Data Fields |
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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. |
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| Field | Example | Description | |
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|-------|-----|-------------| |
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| `id` | `"1046"` | | |
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| `license_number` | `"C10-0000423-LIC"` | | |
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| `license_status` | `"Active"` | | |
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| `license_status_date` | `""` | | |
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| `license_term` | `"Provisional"` | | |
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| `license_type` | `"Commercial - Retailer"` | | |
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| `license_designation` | `"Adult-Use and Medicinal"` | | |
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| `issue_date` | `"2019-07-15T00:00:00"` | | |
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| `expiration_date` | `"2023-07-14T00:00:00"` | | |
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| `licensing_authority_id` | `"BCC"` | | |
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| `licensing_authority` | `"Bureau of Cannabis Control (BCC)"` | | |
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| `business_legal_name` | `"Movocan"` | | |
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| `business_dba_name` | `"Movocan"` | | |
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| `business_owner_name` | `"redacted"` | | |
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| `business_structure` | `"Corporation"` | | |
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| `activity` | `""` | | |
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| `premise_street_address` | `"1632 Gateway Rd"` | | |
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| `premise_city` | `"Calexico"` | | |
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| `premise_state` | `"CA"` | | |
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| `premise_county` | `"Imperial"` | | |
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| `premise_zip_code` | `"92231"` | | |
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| `business_email` | `"redacted@gmail.com"` | | |
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| `business_phone` | `"(555) 555-5555"` | | |
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| `parcel_number` | `""` | | |
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| `premise_latitude` | `32.69035693` | | |
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| `premise_longitude` | `-115.38987552` | | |
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| `data_refreshed_date` | `"2022-09-21T12:16:33.3866667"` | | |
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### Data Splits |
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The data is split into subsets by state. You can retrieve all licenses by requesting the `all` subset. |
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```py |
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from datasets import load_dataset |
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# Get all cannabis licenses. |
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repo = 'cannlytics/cannabis_licenses' |
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dataset = load_dataset(repo, 'all') |
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data = dataset['data'] |
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``` |
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## Dataset Creation |
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### Curation Rationale |
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Data about organizations operating in the cannabis industry for each state is valuable for research. |
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### Source Data |
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| State | Data Source URL | |
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|-------|-----------------| |
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| [Alaska](#) | | |
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| [Arizona](https://azcarecheck.azdhs.gov/s/?licenseType=null) | <https://azcarecheck.azdhs.gov/s/?licenseType=null> | |
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| [California](https://search.cannabis.ca.gov/) | <https://search.cannabis.ca.gov/> | |
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| [Colorado](#) | | |
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| [Connecticut](#) | | |
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| [District of Columbia](#) | | |
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| [Illinois](#) | | |
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| [Maine](#) | | |
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| [Massachusetts](#) | | |
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| [Michigan](#) | | |
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| [Montana](https://mtrevenue.gov/cannabis/#CannabisLicenses) | <https://mtrevenue.gov/cannabis/#CannabisLicenses> | |
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| [Nevada](https://ccb.nv.gov/list-of-licensees/) | <https://ccb.nv.gov/list-of-licensees/> | |
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| [New Hampshire](#) | | |
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| [New Jersey](#) | | |
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| [New Mexico](https://nmrldlpi.force.com/bcd/s/public-search-license?division=CCD&language=en_US) | <https://nmrldlpi.force.com/bcd/s/public-search-license?division=CCD&language=en_US> | |
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| [New York](#) | | |
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| [Oregon](https://www.oregon.gov/olcc/marijuana/pages/recreational-marijuana-licensing.aspx) | <https://www.oregon.gov/olcc/marijuana/pages/recreational-marijuana-licensing.aspx> | |
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| [Rhode Island](#) | | |
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| [Vermont](#) | | |
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| [Washington](https://lcb.wa.gov/records/frequently-requested-lists) | <https://lcb.wa.gov/records/frequently-requested-lists> | |
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#### Data Collection and Normalization |
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In the `algorithms` directory, you can find the algorithms used for data collection. You can use these algorithms to recreate the dataset. First, you will need to clone the repository: |
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``` |
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git clone https://huggingface.co/datasets/cannlytics/cannabis_licenses |
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``` |
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You can then install the algorithm Python (3.9+) requirements: |
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``` |
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cd cannabis_licenses |
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pip install -r requirements.txt |
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``` |
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Then you can run all of the data-collection algorithms: |
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``` |
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python algorithms/main.py |
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``` |
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Or you can run each algorithm individually. For example: |
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``` |
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python algorithms/get_licenses_ca.py |
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``` |
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### Personal and Sensitive Information |
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This dataset includes names of individuals, public addresses, and contact information for cannabis licensees. It is important to take care to use these data points in a legal manner. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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Arguably, there is substantial social impact that could result from the study of permitted adult-use cannabis, therefore, researchers and data consumers alike should take the utmost care in the use of this dataset. |
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### Discussion of Biases |
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Cannlytics is a for-profit data and analytics company that primarily serves cannabis businesses. The data are not randomly collected and thus sampling bias should be taken into consideration. |
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### Other Known Limitations |
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The data is for adult-use cannabis licenses. It would be valuable to include medical cannabis licenses too. |
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## Additional Information |
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### Dataset Curators |
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Curated by [🔥Cannlytics](https://cannlytics.com)<br> |
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<dev@cannlytics.com> |
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### License |
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``` |
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Copyright (c) 2022 Cannlytics and the Cannabis Data Science Team |
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The files associated with this dataset are licensed under a |
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Creative Commons Attribution 4.0 International license. |
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You can share, copy and modify this dataset so long as you give |
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appropriate credit, provide a link to the CC BY license, and |
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indicate if changes were made, but you may not do so in a way |
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that suggests the rights holder has endorsed you or your use of |
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the dataset. Note that further permission may be required for |
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any content within the dataset that is identified as belonging |
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to a third party. |
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``` |
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### Citation |
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Please cite the following if you use the code examples in your research: |
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```bibtex |
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@misc{cannlytics2022, |
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title={Cannabis Data Science}, |
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author={Skeate, Keegan}, |
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journal={https://github.com/cannlytics/cannabis-data-science}, |
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year={2022} |
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} |
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``` |
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### Contributions |
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Thanks to [🔥Cannlytics](https://cannlytics.com), [@candy-o](https://github.com/candy-o), [@keeganskeate](https://github.com/keeganskeate), and the entire [Cannabis Data Science Team](https://meetup.com/cannabis-data-science/members) for their contributions. |
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