fixed readme

README.md

@@ -17,4 +17,26 @@ source_datasets:
 
 # Dataset Card for "COMPS"
 
-TODO
+## Dataset Description
+
+COMPS is a dataset of minimal pair sentences in English that enables the 
+testing knowledge of concepts and their properties in language models (LMs).
+Specifically, it tests the ability of LMs to attribute properties to everyday 
+concepts, and demonstrate reasoning compatible with property inheritance, where
+subordinate concepts inherit the properties of their superordinate (hypernyms).
+
+- **Homepage:** [https://github.com/kanishkamisra/comps/](https://github.com/kanishkamisra/comps/)
+- **Repository:** [https://github.com/kanishkamisra/comps/](https://github.com/kanishkamisra/comps/)
+- **Paper:** [arxiv](https://arxiv.org/abs/2210.01963)
+- **Point of Contact:** [Kanishka Misra] (https://kanishka.website)
+
+### Citation Information
+
+```
+@article{misra2022comps,
+  title={COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models},
+  author={Misra, Kanishka and Rayz, Julia Taylor and Ettinger, Allyson},
+  journal={arXiv preprint arXiv:2210.01963},
+  year={2022}
+}
+```

comps.py

@@ -32,9 +32,10 @@ _CITATION = """
 
 _DESCRIPTION = """
 COMPS is a dataset of minimal pair sentences in English that enables the 
-testing of the ability of language models to attribute properties to everyday 
-concepts, and also demonstrate property inheritance -- where subordinate 
-concepts inherit the properties of their superordinate (hypernyms).
+testing knowledge of concepts and their properties in language models (LMs).
+Specifically, it tests the ability of LMs to attribute properties to everyday 
+concepts, and demonstrate reasoning compatible with property inheritance, where
+subordinate concepts inherit the properties of their superordinate (hypernyms).
 """
 
 _PROJECT_URL = "https://github.com/kanishkamisra/comps"