Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- question-answering
+language:
+- en
+tags:
+- finance
+- music
+- medical
+- food
+- academic disciplines
+- natural disasters
+- software
+- synthetic
+pretty_name: Using KGs to test knowledge consistency in LLMs
+size_categories:
+- 10K<n<100K
+---
+
+For background on this dataset, please check https://arxiv.org/abs/2405.20163.  
+
+## What it is:  
+Each dataset in this delivery is made up of query clusters that test an aspect of the consistency of the LLM knowledge about a particular domain. All the questions in each
+cluster are meant to be answered either 'yes' or 'no'. When the answers vary within a cluster, the knowledge is said to be inconsistent. When all the questions in a cluster 
+are answered 'no' when the expected answer is 'yes' (or viceversa), the knowledge is said to be 'incomplete' (i.e., maybe the LLM wasn't trained in that particular domain). 
+It is our experience that incomplete clusters are very few (less than 3%) meaning that the LLMs we have tested know about the domains included here (see below for a list of the
+individual datasets), as opposed to inconsistent clusters, which can be between 6%-20% of the total clusters. 
+
+## How it is made: 
+The questions and clusters are automatically generated from a knowledge graph from seed concepts and properties. In our case, we have used Wikidata, 
+a well known knowledge graph. The result is an RDF/OWL subgraph that can be queried and reasoned over using Semantic Web technology. 
+
+## Types of query clusters
+
+There are different types of query clusters depending on what aspect of the knowledge graph and its deductive closure they capture: 
+
+Edge clusters test a single edge using different questions. For example, to test the edge ('orthopedic pediatric surgeon', IsA, 'orthopedic surgeon), the positive 
+or 'edge_yes' (expected answer is 'yes') cluster is: 
+
+      "is 'orthopedic pediatric surgeon' a subconcept of 'orthopedic surgeon' ?",
+      "is 'orthopedic pediatric surgeon' a type of 'orthopedic surgeon' ?",
+      "is every kind of 'orthopedic pediatric surgeon' also a kind of 'orthopedic surgeon' ?",
+      "is 'orthopedic pediatric surgeon' a subcategory of 'orthopedic surgeon' ?"
+
+There are also inverse edge clusters (with questions like "is 'orthopedic surgeon' a subconcept of 'orthopedic pediatric surgeon' ?") and negative or 'edge_no' clusters
+(with questions like "is 'orthopedic pediatric surgeon' a subconcept of 'dermatologist' ?")
+
+Hierarchy clusters measure the consistency of a given path, including n-hop virtual edges (in graph's the deductive closure). For example, the path 
+('orthopedic surgeon', 'surgeon', 'medical specialist', 'medical occupation') is tested by the cluster below 
+
+      "is 'orthopedic surgeon' a subconcept of 'surgeon' ?",
+      "is 'orthopedic surgeon' a type of 'surgeon' ?",
+      "is every kind of 'orthopedic surgeon' also a kind of 'surgeon' ?",
+      "is 'orthopedic surgeon' a subcategory of 'surgeon' ?",
+      "is 'orthopedic surgeon' a subconcept of 'medical specialist' ?",
+      "is 'orthopedic surgeon' a type of 'medical specialist' ?",
+      "is every kind of 'orthopedic surgeon' also a kind of 'medical specialist' ?",
+      "is 'orthopedic surgeon' a subcategory of 'medical specialist' ?",
+      "is 'orthopedic surgeon' a subconcept of 'medical_occupation' ?",
+      "is 'orthopedic surgeon' a type of 'medical_occupation' ?",
+      "is every kind of 'orthopedic surgeon' also a kind of 'medical_occupation' ?",
+      "is 'orthopedic surgeon' a subcategory of 'medical_occupation' ?"
+
+Property inheritance clusters test the most basic property of conceptualization. If an orthopedic surgeon is a type of surgeon, we expect that
+all the properties of surgeons, e.g., having to be board certified, having attended medical school or working on the field of surgery, are inherited by orthopedic surgeons.
+The example below tests the later: 
+
+      "is 'orthopedic surgeon' a subconcept of 'surgeon' ?",
+      "is 'orthopedic surgeon' a type of 'surgeon' ?",
+      "is every kind of 'orthopedic surgeon' also a kind of 'surgeon' ?",
+      "is 'orthopedic surgeon' a subcategory of 'surgeon' ?",
+      "is the following statement true? 'orthopedic surgeon works on the field of  surgery' ",
+      "is the following statement true? 'surgeon works on the field of  surgery' ",
+      "is it accurate to say that  'orthopedic surgeon works on the field of  surgery'? ",
+      "is it accurate to say that  'surgeon works on the field of  surgery'? "
+
+
+
+## List of datasets 
+
+To show the versatility of our approach, we have constructed similar datasets in the domains below. We test one property inheritance per dataset. The Wikidata main QNode 
+(the node corresponding to the entities) and PNode (the node corresponding to the property) are indicated in parenthesis. 
+
+### ACADEMIC_DISCIPLINES (https://www.wikidata.org/wiki/Q11862829) ONTOLOGY -- V1 = 443 CLUSTERS, "has use" (https://www.wikidata.org/wiki/Property:P366) 
+
+edges_yes = 52
+
+edges_no = 308
+
+edges_inv = 52
+
+hierarchies = 30
+
+property hierarchies = 1
+
+### DISHES (https://www.wikidata.org/wiki/Q746549) ONTOLOGY  -- V1 = 1220 CLUSTERS, has parts (https://www.wikidata.org/wiki/Property:P527) --> has ingredient 
+
+edges_yes = 225
+
+edges_no = 521
+
+edges_inv = 224
+
+hierarchies = 72
+
+property hierarchies = 178
+
+### FINANCIAL PRODUCT (https://www.wikidata.org/wiki/Q15809678) ONTOLOGY -- V1: 725 CLUSTERS, "used by" (https://www.wikidata.org/wiki/Property:P1535) 
+
+edges_yes = 112
+
+edges_no = 433
+
+edges_inv = 108
+
+hierarchies = 40
+
+property hierarchies = 32
+
+### HOME APPLIANCES (https://www.wikidata.org/wiki/Q212920) ONTOLOGY -- V1 = 421 CLUSTERS, "has use" (https://www.wikidata.org/wiki/Property:P366) 
+
+edges_yes = 58
+
+edges_no = 261
+
+edges_inv = 58
+
+hierarchies = 31
+
+property hierarchies = 13
+
+### MEDICAL SPECIALTIES (https://www.wikidata.org/wiki/Q930752) ONTOLOGY -- V1 = 740 CLUSTERS, "field of occupation" (https://www.wikidata.org/wiki/Property:P425)
+
+edges_yes = 122
+
+edges_no = 386
+
+edges_inv = 114
+
+hierarchies = 55
+
+property hierarchies = 63
+
+### MUSIC_GENRES (https://www.wikidata.org/wiki/Q188451) ONTOLOGY -- V1 = 1990 CLUSTERS, "practiced by" (https://www.wikidata.org/wiki/Property:P3095) 
+
+edges_yes = 490
+
+edges_no = 807
+
+edges_inv = 488
+
+hierarchies = 212
+
+property hierarchies = 139
+
+
+### NATURAL DISASTERS (https://www.wikidata.org/wiki/Q8065) ONTOLOGY -- V1 = 357 CLUSTERS, "has cause" (https://www.wikidata.org/wiki/Property:P828)
+
+edges_yes = 45
+
+edges_no = 225
+
+edges_inv = 44
+
+hierarchies = 21
+
+property hierarchies = 22
+
+### SOFTWARE (https://www.wikidata.org/wiki/Q7397) ONTOLOGY -- V1: 849 CLUSTERS, "studied in" (https://www.wikidata.org/wiki/Property:P7397) is the property
+
+edges_yes = 80
+
+edges_no = 572
+
+edges_inv = 79
+
+hierarchies = 114
+
+property hierarchies = 4