Update README.md

README.md

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+# PatClass2011 Dataset
+
+## Dataset Summary
+
+The **PatClass2011** dataset is a comprehensive collection of approximately 719,000 patent documents, focusing on patent classification tasks. Each entry encompasses detailed metadata and textual content, including titles, abstracts, descriptions, and claims. The dataset is structured to facilitate research in patent classification, information retrieval, and natural language processing.
+
+## Dataset Structure
+
+### Data Instances
+
+Each record in the dataset represents a patent document with the following fields:
+
+- `ucid`: Unique identifier for the patent document.
+- `doc_number`: Patent document number.
+- `country`: Country code of the patent.
+- `kind`: Kind code indicating the type of patent document.
+- `lang`: Language of the patent document.
+- `date`: Publication date of the patent.
+- `application_date`: Date when the patent application was filed.
+- `date_produced`: Date when the data was produced or processed.
+- `status`: Status of the patent document.
+- `main_code`: Primary classification code assigned to the patent.
+- `further_codes`: Additional classification codes.
+- `ipcr_codes`: International Patent Classification codes.
+- `ecla_codes`: European Classification codes.
+- `title`: Title of the patent document.
+- `abstract`: Abstract summarizing the patent.
+- `description`: Detailed description of the patent.
+- `claims`: Claims defining the scope of the patent protection.
+- `applicants`: Entities or individuals who applied for the patent.
+- `inventors`: Inventors credited in the patent document.
+
+### Data Fields
+
+The dataset is provided in CSV format and includes the aforementioned fields. The textual fields (`title`, `abstract`, `description`, `claims`) are particularly useful for natural language processing tasks.
+
+## Usage
+
+To load the dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("amylonidis/PatClass2011")
+```
+
+This will load the dataset into a `DatasetDict` object, allowing for easy access and manipulation.
+
+## Dataset Creation
+
+### Source Data
+
+The PatClass2011 dataset aggregates patent documents from various patent offices, ensuring a diverse and comprehensive collection. The data includes both metadata and full-text fields, facilitating a wide range of research applications.
+
+### Annotations
+
+The dataset includes classification codes (`main_code`, `further_codes`, `ipcr_codes`, `ecla_codes`) assigned by patent offices, providing valuable labels for supervised learning tasks.
+
+## Applications
+
+The PatClass2011 dataset is suitable for various research and development tasks, including:
+
+- Patent classification and categorization.
+- Information retrieval and search systems.
+- Natural language processing applications such as summarization and keyword extraction.
+- Machine learning models for legal and technical document analysis.
+
+## 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 PatClass2011 dataset in your research or applications, please cite it appropriately.
+
 ---
-license: mit
-language:
-- en
-tags:
-- patents
-- legal
-- technology
-pretty_name: CLEF-IP 2011
-size_categories:
-- 10B<n<100B
----
+
+For more information and access to the dataset, visit the [PatClass2011 dataset page on Hugging Face](https://huggingface.co/datasets/amylonidis/PatClass2011).