Remove the unrendered README, superseded by README.md

README

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-# How to Use the ESRP-PD Dataset
-
-1. Download the **ESRP Bench** and complete the environment setup.
-2. Locate the `omnigibson` folder. Unzip `dataset.zip` and place the extracted `data` folder (which contains `3d_front` and `assets`) into the `omnigibson` directory.
-3. Unzip the **3D Front** dataset and move its extracted folders into `omnigibson/data/3d_front`.
-4. Save the dataset splits `train_data.txt`, `test_data.txt`, and `val_data.txt` into `omnigibson/data/3d_front`, and also in the parent directory of 'omnigibson'.
-5. *(Optional)* You may unzip `imitation.zip` to its location and use it for imitation learning training. You should create a directory named 'imitation_data' under the parent directory of 'omnigibson'.
-6. If you finished installing OmniGibson, use python -m omnigibson.create_mesh to preprocess the meshes in the scene.
-7. The imitation dataset provided here is a proof-of-concept example. If you are considering training a high quality imilation policy, please generate yourself (refer to instructions in the README our github repo).