read me added

README.md

@@ -79,7 +79,7 @@ The tampering effects are applied to the middle of each video to ensure consiste
 
 ## Dataset Details
 
-The MVTamperBench dataset is built upon the **MVBench dataset**, a widely recognized collection used in video-language evaluation. It features a broad spectrum of content to ensure robust model evaluation, including:
+The MVTamperBenchEnd dataset is built upon the **MVBench dataset**, a widely recognized collection used in video-language evaluation. It features a broad spectrum of content to ensure robust model evaluation, including:
 
 - **Content Diversity**: Spanning a variety of objects, activities, and settings.
 - **Temporal Dynamics**: Videos with temporal dependencies for coherence testing.
@@ -87,7 +87,7 @@ The MVTamperBench dataset is built upon the **MVBench dataset**, a widely recogn
 
 ### Incorporated Datasets
 
-The MVTamperBench dataset integrates videos from several sources, each contributing unique characteristics:
+The MVTamperBenchEnd dataset integrates videos from several sources, each contributing unique characteristics:
 
 | Dataset Name         | Primary Scene Type and Unique Characteristics                          |
 |----------------------|-------------------------------------------------------------------------|
@@ -129,9 +129,9 @@ By maintaining consistent tampering duration (1 second) and location (center of
 
 ## Download Dataset
 
-You can access the MVTamperBench dataset directly from the Hugging Face repository:
+You can access the MVTamperBenchEnd dataset directly from the Hugging Face repository:
 
-[Download MVTamperBench Dataset](https://huggingface.co/datasets/Srikant86/MVTamperBench)
+[Download MVTamperBenchEnd Dataset](https://huggingface.co/datasets/Srikant86/MVTamperBenchEnd)
 
 ---
 
@@ -139,7 +139,7 @@ You can access the MVTamperBench dataset directly from the Hugging Face reposito
 
 1. Clone the Hugging Face repository:
    ```bash
-   git clone [https://huggingface.co/datasets/mvtamperbenchstart](https://huggingface.co/datasets/Srikant86/MVTamperBenchEnd)
+   git clone [https://huggingface.co/datasets/mvtamperbenchend](https://huggingface.co/datasets/Srikant86/MVTamperBenchEnd)
    cd mvtamperbench
    ```
 
@@ -147,7 +147,7 @@ You can access the MVTamperBench dataset directly from the Hugging Face reposito
    ```python
    from datasets import load_dataset
 
-   dataset = load_dataset("mvtamperbench")
+   dataset = load_dataset("mvtamperbenchend")
    ```
 
 3. Explore the dataset structure and metadata: