Update README.md

README.md

@@ -1,30 +1,64 @@
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: entities
-    list:
-    - name: content
-      dtype: string
-    - name: label
-      dtype: string
-    - name: start_index
-      dtype: int64
-  splits:
-  - name: train
-    num_bytes: 289037
-    num_examples: 1081
-  - name: test
-    num_bytes: 127933
-    num_examples: 499
-  download_size: 190836
-  dataset_size: 416970
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+license: mit
+task_categories:
+- token-classification
+language:
+- ar
+tags:
+- Sinalab
+- Wojood
+- ArabicNER
 ---
+
+a snapshot from https://huggingface.co/datasets/AhmedNabil1/wojood-arabic-ner
+
+# Wojood Arabic NER (Sample, Processed)
+
+This dataset is a **processed version of the sample** from the [Wojood Arabic NER dataset](https://github.com/SinaLab/ArabicNER), developed by [SinaLab](https://sina.birzeit.edu/).  
+The original dataset is licensed under the **MIT License**, and this processed sample is shared under the same terms.
+
+⚠️ **Note:** This is **not the full Wojood corpus**. The full dataset must be requested directly from the original authors (Prof. Mustafa Jarrar and team).
+
+---
+
+## Dataset
+
+- **Language:** Arabic
+- **Task:** Named Entity Recognition (NER)
+- **Entities:** PERS (Person), ORG, GPE (Geopolitical entities, countries, cities), LOC (Locations), DATE, TIME, CARDINAL, ORDINAL, PERCENT, MONEY, QUANTITY, EVENT, FAC (Facilities), NORP (Nationalities, religious/political groups), OCC (Occupations), LANGUAGE, WEBSITE, UNIT (Units of measurement), LAW (Legal documents), PRODUCT, CURR (Currencies)
+- **Source:** [SinaLab/ArabicNER GitHub repo](https://github.com/SinaLab/ArabicNER)  
+- **Size:** This repository only contains the **sample subset** provided in the GitHub repository.  
+
+---
+
+## Preprocessing
+
+The data has been processed and converted into JSON format, structured specifically for fine-tuning NER tasks with proper formatting and tokenization.
+
+---
+
+## Usage
+
+You can load this dataset directly with `datasets`:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("AhmedNabil1/wojood-arabic-ner")
+print(dataset["train"][0])
+```
+
+---
+
+## License
+
+This dataset is released under the **MIT License**, in accordance with the original [Wojood Arabic NER](https://github.com/SinaLab/ArabicNER) repository.  
+Please retain this license and attribution when using or redistributing.
+
+---
+
+## Acknowledgements
+
+- **Dataset Source:** [SinaLab/ArabicNER GitHub repo](https://github.com/SinaLab/ArabicNER)  
+- **Processing and Hugging Face release:** [Ahmed Nabil / AhmedNabil1]  
+