Data Card.

ART.json

@@ -58,7 +58,7 @@
       "additional-splits-capacicites": "N/A"
     },
     "starting": {
-      "research-pointers": "- Paper: https://arxiv.org/abs/1908.05739\n- Code: https://github.com/allenai/abductive-commonsense-reasoning"
+      "research-pointers": "- [Paper](https://arxiv.org/abs/1908.05739)\n- [Code](https://github.com/allenai/abductive-commonsense-reasoning)"
     }
   },
   "results": {
@@ -95,7 +95,7 @@
       "validated": "validated by crowdworker",
       "pre-processed": "N/A",
       "is-filtered": "algorithmically",
-      "filtered-criteria": "Adversarial filtering algorithm as described in the paper: https://arxiv.org/abs/1908.05739"
+      "filtered-criteria": "Adversarial filtering algorithm as described in the [paper](https://arxiv.org/abs/1908.05739)"
     },
     "annotations": {
       "origin": "automatically created",

README.md

@@ -271,8 +271,8 @@ no
 
 <!-- info: Getting started with in-depth research on the task. Add relevant pointers to resources that researchers can consult when they want to get started digging deeper into the task. -->
 <!-- scope: microscope -->
-- Paper: https://arxiv.org/abs/1908.05739
-- Code: https://github.com/allenai/abductive-commonsense-reasoning
+- [Paper](https://arxiv.org/abs/1908.05739)
+- [Code](https://github.com/allenai/abductive-commonsense-reasoning)
 
 
 
@@ -353,7 +353,7 @@ algorithmically
 
 <!-- info: What were the selection criteria? -->
 <!-- scope: microscope -->
-Adversarial filtering algorithm as described in the paper: https://arxiv.org/abs/1908.05739
+Adversarial filtering algorithm as described in the [paper](https://arxiv.org/abs/1908.05739)
 
 
 ### Structured Annotations