Delete 256x256/readme

256x256/readme

@@ -1,34 +0,0 @@
----
-language:
-- en
-license:
-- cc-by-nc-4.0
-task_categories:
-- image-segmentation
-splits:
-  - name: train
-  - name: validation
-  - name: test
-viewer: false
----
-
-# OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning 
-
-This is the official dataset of OCTScenes (https://arxiv.org/abs//2306.09682). OCTScenes contains 5000 tabletop scenes with a total of 15 everyday objects. Each scene is captured in 60 frames covering a 360-degree perspective. 
-
-In the OCTScenes-A dataset, the 0--3099 scenes without segmentation annotation are for training, while the 3100--3199 scenes with segmentation annotation can be used for testing. In the OCTScenes-B dataset, the 0--4899 scenes without segmentation annotation are for training, while the 4900--4999 scenes with segmentation annotation can be used for testing.
-
-This folder contains scenes with 256x256 resolutions. The name of each image is in the form `[scene_id]_[frame_id].png`. The images are compressed using `tar`, and the name of compressed files starts with the resolutions, such as 'image_256x256_'. Due to the large capacity of scene images, all are packaged into several parts and uploaded, namely `image_128x128_*`. Please download all the compressed files, and use 'tar' instruction to decompress the files.
-
-For example, please download all the scene files starts with 'image_256x256_*', and then merge files into 'image_256x256.tar.gz':
-
-```
-cat image_256x256_* > image_256x256.tar.gz
-```
-
-And then decompress the file:
-
-```
-tar xvzf image_256x256.tar.gz
-``` 
-