Update README.md

README.md

@@ -83,7 +83,7 @@ The goal is to measure whether models can reliably perceive the critical **Visua
 
 ## Download
 
-EPIC-Bench contains ~35,000 small files across three task categories. To work around HuggingFace's per-file rate limit (1,000 API requests / 5 min) and to keep download speed reasonable, the annotations are distributed as **three task-level tarballs** instead of raw folders.
+EPIC-Bench contains ~35,000 small files across three task categories. To work around HuggingFace's per-file rate limit and to keep download speed reasonable, the annotations are distributed as **three task-level tarballs** instead of raw folders.
 
 Download the tarballs from [HuggingFace](https://huggingface.co/datasets/rxc205/EPIC-Bench) (or [ModelScope](https://www.modelscope.cn/datasets/macarich/EPIC-Bench)):
 
@@ -93,8 +93,6 @@ Download the tarballs from [HuggingFace](https://huggingface.co/datasets/rxc205/
 | `Navigation.tar.gz`         | 2.71 GB | 10,868  | FeasiblePath / GroundDetection / VisualMatching |
 | `TargetLocalization.tar.gz` | 3.34 GB | 17,665  | BasicAttributes / EmbodiedCompositionalAttributes / SpatialRelatedAttributes |
 
-Place them under `dataset/annotation/` and extract:
-
 ```bash
 mkdir -p dataset/annotation/EPIC_Bench
 cd dataset/annotation/EPIC_Bench