Update README.md

README.md

@@ -19,8 +19,6 @@ tags:
 pretty_name: DORI
 ---
 
-# Dataset Card for DORI
-
 ## Dataset Details
 
 ### Dataset Description
@@ -31,7 +29,7 @@ DORI contains 33,656 carefully constructed multiple-choice questions based on 13
 
 What makes DORI unique is its systematic approach to isolating orientation perception from confounding factors like object recognition difficulty, scene clutter, linguistic ambiguity, and contextual distractions. For each orientation dimension, DORI provides both coarse-grained questions (basic categorical judgments) and fine-grained questions (precise angular measurements).
 
-- **Curated by:** Anonymous Authors (NeurIPS 2025 submission)
+- **Curated by:** Anonymous Authors 
 - **Language(s) (NLP):** English
 - **License:** Not specified in the current documentation
 
@@ -226,8 +224,8 @@ Performance patterns indicate that current models struggle most with precise ang
 
 ## Dataset Card Authors
 
-Anonymous Authors (NeurIPS 2025 submission)
+Anonymous Authors 
 
 ## Dataset Card Contact
 
-For more information, please contact the authors through the NeurIPS 2025 submission system.
+For more information, please contact the authors