Update README.md

README.md

@@ -1,7 +1,8 @@
 ---
 license: apache-2.0
 task_categories:
-- emotion-recognition
+- fill-mask
+- text-classification
 language:
 - en
 pretty_name: EXPRESS
@@ -13,7 +14,13 @@ pretty_name: EXPRESS
 This is the EXPRESS dataset from the paper:
 https://arxiv.org/pdf/2509.09593
 
-It is designed for emotion recognition and evaluation of large language models' fine-grained emotional understanding.
+## Overview
+
+EXPRESS (EXperiences and PRocessed Emotions in Self-disclosure Stories) is a benchmark dataset for evaluating fine-grained emotion recognition in language models. It contains 33,679 naturally occurring Reddit-based human experiences paired with self-disclosed emotion labels.
+
+EXPRESS uses emotions explicitly disclosed by the original authors as ground-truth labels. The dataset covers 251 fine-grained emotion labels and an average context length of 259 words, enabling evaluation of models’ ability to infer nuanced emotional states from rich real-world contexts.
+
+Each instance masks the self-disclosed emotion word or phrase in the original text using a `<mask>` token. 
 
 ## Usage