Merge branch 'main' of https://huggingface.co/datasets/khwstolle/csvps

README.md

@@ -6,15 +6,14 @@ tags:
 - webdataset
 - pandas
 - unipercept
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train/**/*
-  - split: val
-    path: data/val/**/*
-  - split: test
-    path: data/test/**/*
+license: afl-3.0
+task_categories:
+- depth-estimation
+- image-segmentation
+- video-classification
+- object-detection
+size_categories:
+- 10K<n<100K
 ---
 
 # Cityscapes VPS
@@ -105,7 +104,7 @@ Due to the structure, the dataset can be easily loaded using the `webdataset` li
 To convert the `train`, `val` and `test` directories into a `tar` archive, run the following command:
 
 ```bash
-for split in train val test; do tar -cf "shards/csvps-$split-000001.tar" "data/$split" done
+for split in train val test; do tar -cf "shards/csvps-$split-000000.tar" "data/$split" done
 ```
 
 Subsequently, the dataset can be loaded using the `webdataset` library:
@@ -113,7 +112,7 @@ Subsequently, the dataset can be loaded using the `webdataset` library:
 ```python
 import webdataset as wds
 
-dataset = wds.WebDataset("shards/csvps-train-{000001}.tar")
+dataset = wds.WebDataset("shards/csvps-train-{000000}.tar")
 ```
 
 
@@ -135,5 +134,4 @@ If you use this dataset in your research, please cite the original
 
 [^2]: Kim et al., "Video Panoptic Segmentation" (CVPR 2020)
 
-[^3]: Qiao et al., "Learning Visual Perception with Depth-aware Video Panoptic Segmentation" (CVPR 2021)
-
+[^3]: Qiao et al., "Learning Visual Perception with Depth-aware Video Panoptic Segmentation" (CVPR 2021)