update

.gitignore

@@ -1,4 +1,5 @@
 **/.virtual_documents
 **/.ipynb_checkpoints
 **/.venv
-**/.vscode
+**/.vscode
+test.py

README.md

@@ -33,31 +33,11 @@ The structure of the benchmark repository is the following:
 
 ## 🛠 Usage
 
-This dataset is suitable for studying crashes (e.g., bug reproducing, bug detection, and bug repair) in ML notebooks.
+This dataset is suitable for studying crashes (e.g., bug reproducing, detection, localization, and repair) in ML notebooks.
 
-You can use the included [requirements.txt](./requirements.txt) or Docker to recreate the exact environments.
+You can use the requirements specification or Docker to recreate the exact environments.
 
-### 📄 Reproducing Environment - Option 1: without Docker
-
-You can recreate the Python environment used in this research as follows:
-
-#### Requirements
-- Python 3.10
-- `pip`, `venv`, and basic build tools
-- requirements.txt (can be found in this repo)
-
-#### Setup Instructions
-
-```bash
-# Create a virtual environment
-python3.10 -m venv venv
-source venv/bin/activate
-
-# Install required packages
-pip install -r requirements.txt
-```
-
-### 📄 Reproducing Environment Option 2: using our shared Docker image
+### 📄 Reproducing Environment Option 1 (recommended): using our shared Docker image
 
 To ensure full reproducibility (including Python version, system libraries, and all dependencies), you can use our compiled docker image directly:
 
@@ -71,12 +51,33 @@ Then run the image:
 docker run -v [volumn mount windows path]:/junobench_env -w=/junobench_env -p 8888:8888 -it yarinamomo/kaggle_python_env:latest jupyter notebook --no-browser --ip="0.0.0.0" --notebook-dir=/junobench_env --allow-root
 ```
 
-### 📄 Reproducing Environment Option 3: build your own Docker image
+### 📄 Reproducing Environment Option 2: build your own Docker image
 
 You can also choose to build your own docker image by using our pre-configured Docker image from this repository: 
 
 📦 GitHub Repo: [yarinamomo/docker-kaggle-python](https://github.com/yarinamomo/docker-kaggle-python)
 
+### 📄 Reproducing Environment - Option 3: using virtual envrironment (not recommended)
+
+You can recreate the Python environment on your system as follows:
+
+#### Requirements
+- Python 3.10
+- `pip`, `venv`, and basic build tools
+- [requirements.txt](./requirements.txt)
+
+#### Setup Instructions
+
+**Linux** or **WSL** on Windows (the same requirements file as in the Docker image):
+```bash
+# Create a virtual environment
+python3.10 -m venv venv
+source venv/bin/activate
+
+# Install required packages
+pip install -r requirements.txt
+```
+
 ### 🐳 Execute notebooks with `auto_notebook_executer.py`:
 
 You can execute the notebooks by using this tool. This tool can be used by command line:

requirements.txt

@@ -213,7 +213,7 @@ google-cloud-storage==2.8.0
 google-cloud-translate==3.12.1
 google-cloud-videointelligence==2.14.1
 google-cloud-vision==3.8.1
-google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz#sha256=deb182392f5f78765ea686f1200ff7cfd42e31bdf8d172a68d6a29f657e1fe18
+# google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz#sha256=deb182392f5f78765ea686f1200ff7cfd42e31bdf8d172a68d6a29f657e1fe18
 google-crc32c==1.6.0
 google-generativeai==0.7.2
 google-pasta==0.2.0