Update README.md

README.md

@@ -10,8 +10,33 @@ tags:
 
 
 ### Introduction
-Generalized quantifiers (e.g., few, most) are used to indicate the proportions predicates are satisfied. QuRe is quantifier reasoning dataset from [Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models](https://arxiv.org/pdf/2311.04659). It includes real-world sentences from Wikipedia and human annotations of generalized quantifiers from English speakers.
+Generalized quantifiers (e.g., few, most) are used to indicate the proportions predicates are satisfied. QuRe is quantifier reasoning dataset from [Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models](https://arxiv.org/pdf/2311.04659). It includes real-world sentences from Wikipedia and human annotations of generalized quantifiers from English speakers. 
 
+### sample
+```
+{
+    "orig_sentence": "In order for a steel to be considered stainless it must have a Chromium content of at least 10.5%.", 
+    "percentage": "10.50%", 
+    "percentage_index": 0, 
+    "math_expr": ">=0.105", 
+    "quant_sent": "In order for a steel to be considered stainless it must have some Chromium content.", 
+    "quantifier": "some", 
+    "quantifier_position": 12, 
+    "specificity": "unable", 
+    "wiki_entity": "List of blade materials", 
+    "topics": "metallurgy; steel; composition"
+}
+```
+   * orig_sentence: the original sentence appeared in Wikipedia.
+   * percentage: the percentage mentioned in the orig_sentence.
+   * percentage_index: the index of the mentioned percentage in the orig_sentence.
+   * math_expr: the percentage expression generated.
+   * quant_sent: the annotated quantified sentence.
+   * quantifier_position: the position of quantifier mentioned.
+   * specificity:  the difficulty of deciphering the percentage scope of the quantifier from the sentence excluding the quantifier.
+   * wiki_entity: the wikipedia entity that includes <i>orig_sentence</i> in the wikipage content.
+   * topics: sentence topics.
+     
 ### Reference
 ```
 @inproceedings{li-etal-2023-pragmatic,