Collapse all code blocks in README (#74)

* Initial plan

* Collapse all code blocks in README with details tags

Co-authored-by: anxiangsir <31175974+anxiangsir@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: anxiangsir <31175974+anxiangsir@users.noreply.github.com>

Author: Copilot

README.md

@@ -233,15 +233,23 @@ You can set up the environment using **one of the following two methods**:
 
 ### Option 1 (Conda + Pip)
 
+<details>
+<summary>Click to expand setup commands</summary>
+
 ```bash
 conda env create -f environment.yml -n ov_encoder
 pip install torch==2.7.0 torchvision==0.22.0 torchaudio==2.7.0 --index-url https://download.pytorch.org/whl/cu118
 pip install --extra-index-url https://pypi.nvidia.com --upgrade nvidia-dali-cuda110
 pip install -r requirements.txt
 ```
 
+</details>
+
 ### Option 2 (Docker)
 
+<details>
+<summary>Click to expand Docker commands</summary>
+
 ```bash
 docker build -t onevision-encoder:2601 .
 
@@ -251,30 +259,50 @@ docker run -it --rm --gpus all --ipc host --net host --privileged \
     onevision-encoder:2601 bash
 ```
 
+</details>
+
 ### Install Package
 
 Inside the container, install the package in editable mode:
 
+<details>
+<summary>Click to expand install command</summary>
+
 ```bash
 pip install -e .
 ```
 
+</details>
+
 ### Single Node Dry Run To Test Setup
 
+<details>
+<summary>Click to expand dry run command</summary>
+
 ```bash
 bash shells/ov_encoder_base_stage1_si_dry_run.sh
 ```
 
+</details>
+
 ### Single Node Stage-1 Single Image
 
+<details>
+<summary>Click to expand training command</summary>
+
 ```bash
 bash shells/ov_encoder_base_stage1_si.sh
 ```
 
+</details>
+
 ### Single Node Stage-2 Video Contine Pretraining
 
 Download the Stage-1 checkpoint from HuggingFace:
 
+<details>
+<summary>Click to expand download and training commands</summary>
+
 ```bash
 git clone https://huggingface.co/lmms-lab-encoder/onevision-encoder-large-si
 ```
@@ -287,6 +315,8 @@ More documentation will be added soon.
 bash shells/ov_encoder_large_stage2_residual_8gpus.sh
 ```
 
+</details>
+
 Training configurations and hyperparameters will be documented soon. For now, please refer to `--help` for available options.
 
 ## 📊 Evaluation
@@ -297,6 +327,9 @@ Training configurations and hyperparameters will be documented soon. For now, pl
 
 To evaluate the encoder with uniform frame sampling, first navigate to the evaluation directory:
 
+<details>
+<summary>Click to expand evaluation commands</summary>
+
 ```bash
 pip install -e .
 cd eval_encoder
@@ -308,6 +341,8 @@ Then run the following command:
 bash shells_eval_ap/eval_ov_encoder_large_16frames.sh
 ```
 
+</details>
+
 **Sampling-Specific Parameters:**
 
 - `frames_token_num`: Number of tokens per frame (e.g., 256 tokens for standard sampling).
@@ -316,6 +351,9 @@ bash shells_eval_ap/eval_ov_encoder_large_16frames.sh
 
 To evaluate the encoder with codec-style patch selection, first navigate to the evaluation directory:
 
+<details>
+<summary>Click to expand codec evaluation commands</summary>
+
 ```bash
 cd eval_encoder
 ```
@@ -326,6 +364,8 @@ Then run the following command:
 bash shells_eval_ap/eval_ov_encoder_large_2kpatches_codec.sh
 ```
 
+</details>
+
 ## 👥 Contributors
 
 <!-- Add contributor list here -->