Update README.md

README.md

@@ -11,7 +11,7 @@ task_categories:
 ---
 [![arXiv](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)](https://arxiv.org/abs/2412.13071) [![GitHub](https://img.shields.io/badge/GitHub-Code-181717?logo=github)](https://github.com/language-modeling-lab/CLASP)
 
-# Dataset Summary
+## Dataset Summary
 
 **Speech Brown** is a comprehensive, synthetic, and diverse paired speech-text dataset in 15 categories, covering a wide range of topics from fiction to religion. This dataset consists of over 55,000 sentence-level samples.  
 
@@ -21,7 +21,7 @@ For more information about our proposed model, please refer to this [paper](http
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64ba58d377dd483716aba098/5dy1Cb3-ZmGytf3QbQN9a.png)  
 
-# Dataset Statistics
+## Dataset Statistics
 1. Total size: Approximately 30 GB.  
 2. Number of samples: 55,173 pairs of speech and text.  
 3. Average tokens per sample: 19.00.  
@@ -30,27 +30,27 @@ For more information about our proposed model, please refer to this [paper](http
 6. Number of unique tokens: 50,667
 7. Categories: 15 categories consist of `adventure`, `belles_lettres`, `editorial`, `fiction`, `government`, `hobbies`, `humor`, `learned`, `lore`, `mystery`, `news`, `religion`, `reviews`, `romance`, `science_fiction`.  
 
-# Dataset Structure
+## 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.
 
-# Usage Instructions
+## Usage Instructions
 
 To use this dataset, download the parts and metadata files as follows:
 
-### Option 1: Manual Download
+#### Option 1: Manual Download
 Visit the [dataset repository](https://huggingface.co/datasets/llm-lab/SpeechBrown/tree/main) and download all `dataset_partX.zip` files and the `global_metadata.json` file.
 
-### Option 2: Programmatic Download
+#### Option 2: Programmatic Download
 Use the `huggingface_hub` library to download the files programmatically:
 
 ```python
@@ -77,7 +77,7 @@ with open('global_metadata.json', 'r') as f:
 metadata.keys()
 ```
 
-# Citations
+## Citations
 If you find our paper, code, data, or models useful, please cite the paper:  
 ```
 @misc{abootorabi2024claspcontrastivelanguagespeechpretraining,
@@ -91,5 +91,5 @@ If you find our paper, code, data, or models useful, please cite the paper:
 }
 ```
 
-# Contact
+## Contact
 If you have questions, please email [email protected] or [email protected].