Update README.md

README.md

@@ -117,6 +117,7 @@ The project code is available at https://github.com/famma-bench/bench-script.
 ## NEWS
 
 🔥 **Latest Updates**:
+- [2025/04] Release of an interactive notebook [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/famma-bench/bench-script/blob/main/notebooks/FAMMA_1_dataset_inspection.ipynb) for exploring and analyzing the FAMMA dataset.
 - [2025/04]  Release of `release_livepro_txt`, a purely textual dataset that utilizes OCR to extract multimodal information and convert it into textual context for each question in `release_livepro`.
 - [2025/03]  Release of `release_basic_txt`, a purely textual dataset that utilizes OCR to extract multimodal information and convert it into textual context for each question in `release_basic`.
 - [2025/03]  Add `is_arithmetic` column in the dataset to indicate whether the question involves heavy compuation. 
@@ -176,6 +177,7 @@ Fristly, clone the repository and install the dependencies:
 git clone https://github.com/famma-bench/bench-script.git
 cd bench-script
 pip install -r requirements.txt
+pip install -e .
 ```
 
 To download the dataset, run the following command:
@@ -196,6 +198,9 @@ Options:
 
 After downloading, the dataset will be saved in the local directory `./data` in json format. 
 
+An alternative example can be found at our interactive notebook [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/famma-bench/bench-script/blob/main/notebooks/FAMMA_1_dataset_inspection.ipynb) for exploring and analyzing the FAMMA dataset. This notebook provides a comprehensive walkthrough of dataset inspection, visualization, and analysis techniques. Try it directly in Google Colab to get hands-on experience with the dataset!
+
+
 ## Citation 
 If you use FAMMA in your research, please cite our paper as follows: