Update README.md

Former-commit-id: db4d06e76ef0e2ee60f97296f0ba1e8a33791a7a

README.md

@@ -111,15 +111,15 @@ The training data consists of 4 types of data:
 
 1. Semantic segmentation datasets: [ADE20K](http://data.csail.mit.edu/places/ADEchallenge/ADEChallengeData2016.zip), COCO-Stuff [\[images\]](http://images.cocodataset.org/zips/train2017.zip) [\[labels\]](http://calvin.inf.ed.ac.uk/wp-content/uploads/data/cocostuffdataset/stuffthingmaps_trainval2017.zip), [Mapillary](https://www.mapillary.com/dataset/vistas), [PACO-LVIS](https://github.com/facebookresearch/paco/tree/main#dataset-setup), [PASCAL-Part](https://github.com/facebookresearch/VLPart/tree/main/datasets#pascal-part)
 
-    Note: For COCO-Stuff, we use the annotation file stuffthingmaps_trainval2017.zip.
+    Note: For COCO-Stuff, we use the annotation file stuffthingmaps_trainval2017.zip. We only use the PACO-LVIS in PACO.
 
-2. Referring segmentation datasets: [refCOCO](https://web.archive.org/web/20220413011718/https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcoco.zip), [refCOCO+](https://web.archive.org/web/20220413011656/https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcoco+.zip), [refCOCOg](https://web.archive.org/web/20220413012904/https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcocog.zip), [refCLEF](https://web.archive.org/web/20220413011817/https://bvisionweb1.cs.unc.edu/licheng/referit/data/refclef.zip) ([saiapr_tc-12](https://web.archive.org/web/20220515000000/http://bvisionweb1.cs.unc.edu/licheng/referit/data/images/saiapr_tc-12.zip)) 
+3. Referring segmentation datasets: [refCOCO](https://web.archive.org/web/20220413011718/https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcoco.zip), [refCOCO+](https://web.archive.org/web/20220413011656/https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcoco+.zip), [refCOCOg](https://web.archive.org/web/20220413012904/https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcocog.zip), [refCLEF](https://web.archive.org/web/20220413011817/https://bvisionweb1.cs.unc.edu/licheng/referit/data/refclef.zip) ([saiapr_tc-12](https://web.archive.org/web/20220515000000/http://bvisionweb1.cs.unc.edu/licheng/referit/data/images/saiapr_tc-12.zip)) 
 
     Note: the origianl links of refCOCO series data are down, and we update them with new ones
 
-3. Visual Question Answering dataset: [LLaVA-Instruct-150k](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K/blob/main/llava_instruct_150k.json)
+4. Visual Question Answering dataset: [LLaVA-Instruct-150k](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K/blob/main/llava_instruct_150k.json)
 
-4. Reasoning segmentation dataset: [ReasonSeg](https://github.com/dvlab-research/LISA#dataset)
+5. Reasoning segmentation dataset: [ReasonSeg](https://github.com/dvlab-research/LISA#dataset)
 
 Download them from the above links, and organize them as follows.