Update README.md

README.md

@@ -26,17 +26,34 @@ For more information about our proposed model, please refer to this [paper](http
 3. Average words per sample: 17.78.  
 4. Maximum words in a sample: 48.  
 5. Average characters per sample: 96.72.  
-6. Categories: `adventure`, `belles_lettres`, `editorial`, `fiction`, `government`, `hobbies`, `humor`, `learned`, `lore`, `mystery`, `news`, `religion`, `reviews`, `romance`, `science_fiction`.  
+6. Categories: 15 categories consist of `adventure`, `belles_lettres`, `editorial`, `fiction`, `government`, `hobbies`, `humor`, `learned`, `lore`, `mystery`, `news`, `religion`, `reviews`, `romance`, `science_fiction`.  
 
 ## Dataset Structure
 To ensure ease of use, the dataset is partitioned into 10 parts. Each part can be used independently if it meets the requirements of your task and model.  
 
-### Metadata Files:
+## Metadata Files:
 1. **global_metadata**: A JSON file containing metadata for all 55,173 samples.  
 2. **localized_metadata**: A JSON file containing metadata for all samples, categorized into the 10 dataset partitions.  
 
-### Metadata Fields:
+## Metadata Fields:
 1. **id**: The unique identifier for the sample.  
 2. **audio_file_path**: The file path for the audio in the dataset.  
 3. **category**: The category of the sample's text.  
 4. **text**: The corresponding text of the audio file.  
+
+## Citations
+If you find our paper, code, data, or models useful, please cite the paper:  
+```
+@misc{abootorabi2024claspcontrastivelanguagespeechpretraining,
+      title={CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval}, 
+      author={Mohammad Mahdi Abootorabi and Ehsaneddin Asgari},
+      year={2024},
+      eprint={2412.13071},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2412.13071}, 
+}
+```
+
+## Contact
+If you have questions, please email [email protected] or [email protected].