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README.md

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+---
+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).

data/euipo.parquet

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