Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
| language: | |
| - en | |
| license: mit | |
| pretty_name: EUIPO Trademark Nice Classification Terms | |
| size_categories: | |
| - 10K<n<100K | |
| tags: | |
| - trademark | |
| - classification | |
| - nice-classification | |
| - euipo | |
| - intellectual-property | |
| - rag | |
| - retrieval | |
| task_categories: | |
| - text-classification | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/euipo.parquet | |
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: nice_class | |
| dtype: int64 | |
| - name: description | |
| dtype: string | |
| - name: approval_type | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_examples: 87752 | |
| # EUIPO Trademark Nice Classification Terms | |
| <!-- TODO: add a one-line description of your dataset here --> | |
| ## Dataset Description | |
| <!-- TODO: add a longer description of the dataset, its purpose, and potential use cases --> | |
| This dataset contains **87,752** goods and services terms classified under the [Nice Classification](https://www.wipo.int/classifications/nice/en/) system, as catalogued by the [European Union Intellectual Property Office (EUIPO)](https://euipo.europa.eu/) via their [TMclass](https://tmclass.tmdn.org/) tool. | |
| The data was scraped from TMclass in early 2025. | |
| ### Source | |
| - **Origin**: [TMclass – EUIPO](https://tmclass.tmdn.org/) | |
| - **Method**: Web scraping | |
| - **Date Collected**: <!-- TODO: add approximate date, e.g. "February 2025" --> | |
| ## Dataset Structure | |
| ### Schema | |
| | Column | Type | Description | | |
| |-----------------|----------|--------------------------------------------------------------------------------------------------------| | |
| | `id` | `string` | Unique identifier for the term (e.g. `en/1/262`) | | |
| | `nice_class` | `int64` | Nice Classification class number (1–45) | | |
| | `description` | `string` | The goods or services term description (e.g. "Absorbent expandable graphite") | | |
| | `approval_type` | `string` | Approval status: `"M"` (MGS — harmonised), `"V"` (validated by national office), or `""` (unspecified) | | |
| ### Data Sample | |
| ```json | |
| [ | |
| {"id": "en/1/262", "nice_class": 1, "description": "Abrasives (Auxiliary fluids for use with -)", "approval_type": ""}, | |
| {"id": "en/1/234227210", "nice_class": 1, "description": "Absorbent expandable graphite", "approval_type": "V"}, | |
| {"id": "en/1/616833", "nice_class": 1, "description": "Absorbent graphites", "approval_type": "M"} | |
| ] | |
| ``` | |
| ### Splits | |
| | Split | Examples | | |
| |-------|----------| | |
| | train | 87,752 | | |
| ## Nice Classification Overview | |
| The [Nice Classification](https://www.wipo.int/classifications/nice/en/) is an international system for classifying goods and services for trademark registration. It comprises **45 classes** — classes 1–34 cover goods and classes 35–45 cover services. | |
| ## Use Cases | |
| <!-- TODO: describe intended use cases, e.g.: --> | |
| - Training text classifiers to predict Nice class from product/service descriptions | |
| - Building search and recommendation systems for trademark registration | |
| - Semantic analysis of goods and services terminology | |
| - Augmenting NLP pipelines with structured IP classification data | |
| ## Limitations | |
| <!-- TODO: add any known limitations, e.g.: --> | |
| - The dataset is a snapshot from a specific point in time and may not reflect the latest TMclass updates | |
| - Only English-language terms are included | |
| - Some `approval_type` values are empty, indicating unspecified status | |
| ## Citation | |
| <!-- TODO: add citation information if applicable --> | |
| ```bibtex | |
| @dataset{euipo_trademark_nice, | |
| title = {EUIPO Trademark Nice Classification Terms}, | |
| author = {hashiromer621@gmail.com}, | |
| year = {2026}, | |
| note = {Scraped from TMclass (https://tmclass.tmdn.org/)} | |
| } | |
| ``` | |
| ## License | |
| This dataset is released under the [MIT License](https://opensource.org/licenses/MIT). | |