| | --- |
| | license: mit |
| | language: |
| | - en, |
| | tags: |
| | - legal |
| | - patents |
| | pretty_name: WPI_Month_Kind_Subset |
| | size_categories: |
| | - 10K<n<100K |
| | --- |
| | # WPI_Month_Kind Dataset |
| |
|
| |  |
| |
|
| | ## Dataset Summary |
| |
|
| | The **WPI_Month_Kind** dataset is a comprehensive collection of approximately 70.000 patent documents from the WPI Test Collection, including only EPO patents, |
| | proportionate to month and kind fields. For example if the patents with kind code A2 for the month of July correspond to the 10 % of the total patents on the WPI collection |
| | then the patents with kind code A2 for the month of July on the custom subset will also correspond to 10 % of the total patents in the subset. |
| | Each entry on the dataset encompasses detailed metadata and is structured to facilitate research in patent classification and information retrieval |
| | ## Languages |
| |
|
| | The dataset contains English text. |
| |
|
| | ## Domain |
| |
|
| | Patents (intellectual property). |
| |
|
| | ## Dataset Curators |
| |
|
| | The dataset was created by Eleni Kamateri and Tasos Mylonidis |
| |
|
| | ## Dataset Structure |
| |
|
| | The dataset consists of a single CSV file that holds all the data. |
| | In total, there are 17 data fields in the CSV file. |
| | |
| |
|
| | ### Data Fields |
| |
|
| | The dataset is provided in CSV format and includes the aforementioned fields |
| |
|
| | - `ucid`: Unique identifier for the patent document. |
| | - `kind`: Kind code indicating the type of patent document. |
| | - `lang`: Language of the patent document. |
| | - `date`: Publication date of the patent. |
| | - `main_code`: Primary classification code assigned to the patent. |
| | - `further_codes`: Additional classification codes. |
| | - `ipcr_codes`: International Patent Classification codes. |
| | - `cpc_codes`: Cooperative Patent Classification codes. |
| | - `abstract_en`: Boolean field for existence of English abstract. |
| | - `description_en`:Boolean field for existence of English description. |
| | - `claims_en`: Boolean field for existence of English claims. |
| | - `abstract_fr`: Boolean field for existence of French abstract. |
| | - `description_fr`:Boolean field for existence of French description. |
| | - `claims_fr`: Boolean field for existence of French claims. |
| | - `abstract_de`: Boolean field for existence of German abstract. |
| | - `description_de`:Boolean field for existence of German description. |
| | - `claims_de`: Boolean field for existence of German claims. |
| |
|
| | ## Usage |
| |
|
| | ## Loading the Dataset |
| |
|
| | ### Full |
| |
|
| | To load the complete dataset using the Hugging Face `datasets` library: |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | dataset = load_dataset("amylonidis/WPI_Tasos_Vertical", data_files='data/wpi_tasos_vertical.csv') |
| | ``` |
| |
|
| | This will load the dataset into a `DatasetDict` object, please make sure you have enough disk space. |
| |
|
| | ## Google Colab Analytics |
| |
|
| |
|
| | You can also use the following Google Colab notebooks to explore Analytics that were performed to the dataset. |
| |
|
| |
|
| | - [Dates Analytics](https://colab.research.google.com/drive/1teUGvbTb3pUD1fsiyYN5zKb-HyqaSJhb?usp=sharing) |
| |
|
| |
|
| | ## Dataset Creation |
| |
|
| | ### Source Data |
| |
|
| | The dataset aggregates the patent documents from the WPI Test Collection, only for EPO patents using this parsing script: [Extract Dataset](https://colab.research.google.com/drive/1X45i3XM6GKXcQXDvRXATDbTxYN6WpCy1?usp=sharing) |
| |
|
| | ### Annotations |
| |
|
| | The dataset does not contain any human-written or computer-generated annotations beyond those produced by patent documents of the Source Data. |
| |
|
| | ## Licensing Information |
| |
|
| | This dataset is distributed under the [MIT License](https://opensource.org/licenses/MIT). Users are free to use, modify, and distribute the dataset, provided that the original authors are credited. |
| |
|
| | ## Citation |
| |
|
| | If you utilize the WPI_Month_Kind dataset in your research or applications, please cite it appropriately. |
| |
|
| | --- |
