Upload README.md with huggingface_hub

README.md

@@ -49,4 +49,43 @@ configs:
   data_files:
   - split: train
     path: queries/train-*
+language:
+- ar
+tags:
+- information-retrieval
+- nanobeir
+- benchmark
 ---
+
+# NanoSciFact - Arabic
+
+This dataset is the Arabic version of the NanoSciFact benchmark from the NanoBEIR multilingual collection.
+
+## Dataset Origin
+
+This dataset is derived from [lightonai/nanobeir-multilingual](https://huggingface.co/datasets/lightonai/nanobeir-multilingual).
+
+NanoBEIR is a smaller version of the BEIR benchmark designed for efficient evaluation of information retrieval models.
+
+## Dataset Structure
+
+The dataset contains three configurations:
+
+- **corpus**: The document collection to search through
+- **queries**: The search queries
+- **qrels**: Relevance judgments (query-document pairs with relevance scores)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the different configurations
+corpus = load_dataset("wissamantoun/NanoSciFact_Arabic", "corpus")
+queries = load_dataset("wissamantoun/NanoSciFact_Arabic", "queries")
+qrels = load_dataset("wissamantoun/NanoSciFact_Arabic", "qrels")
+```
+
+## Citation
+
+If you use this dataset, please cite the original BEIR and NanoBEIR work.