Update README.md

README.md

@@ -1,3 +1,99 @@
 ---
-license: cc-by-2.0
+annotations_creators:
+- machine-generated
+language:
+- en
+language_creators:
+- machine-generated
+license:
+- cc-by-2.0
+multilinguality:
+- monolingual
+pretty_name: Quasimodo
+size_categories:
+- 100M<n<1B
+source_datasets:
+- original
+tags:
+- knowledge base
+- commonsense
+task_categories:
+- question-answering
+task_ids:
+- closed-domain-qa
 ---
+
+
+# Dataset Card for Quasimodo
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+- [Dataset Creation](#dataset-creation)
+- [Additional Information](#additional-information)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+
+## Dataset Description
+
+- **Homepage:** https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/commonsense/quasimodo
+- **Repository:** https://github.com/Aunsiels/CSK
+- **Paper:** Romero et al., Commonsense Properties from Query Logs and Question Answering Forums, CIKM, 2019
+
+### Dataset Summary
+
+A commonsense knowledge base constructed automatically from question-answering forums and query logs.
+
+### Supported Tasks and Leaderboards
+
+Can be useful for tasks requiring external knowledge such as question answering.
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+{
+  "subject": "elephant",
+  "predicate": "has_body_part"
+  "object": "trunk",
+  "modality": "TBC[so long trunks] x#x2 // TBC[long trunks] x#x9 // TBC[big trunks] x#x6 // TBC[long trunk] x#x1 // TBC[such big trunks] x#x1	0	0.9999667967035647	elephants have trunks x#x34 x#xGoogle Autocomplete, Bing Autocomplete, Yahoo Questions, Answers.com Questions, Reddit Questions // a elephants have trunks x#x2 x#xGoogle Autocomplete // a elephant have a trunk x#x2 x#xGoogle Autocomplete // elephants have so long trunks x#x2 x#xGoogle Autocomplete // elephants have long trunks x#x8 x#xGoogle Autocomplete, Yahoo Questions, Answers.com Questions // elephants have big trunks x#x6 x#xGoogle Autocomplete, Answers.com Questions, Reddit Questions // elephants have trunk x#x3 x#xGoogle Autocomplete, Yahoo Questions // elephant have long trunks x#x1 x#xGoogle Autocomplete // elephant has a trunk x#x1 x#xGoogle Autocomplete // elephants have a trunk x#x2 x#xAnswers.com Questions // an elephant has a long trunk x#x1 x#xAnswers.com Questions // elephant have trunks x#x1 x#xAnswers.com Questions // elephants have such big trunks x#x1 x#xReddit Questions",
+  "score": 0.9999667967668732,
+  "local_sigma": 1.0
+}
+
+
+### Data Fields
+
+- subject: The subject of the triple
+- predicate: The predicate of the triple
+- object: The object of the triple
+- modality: Modalities associated with the triples with their counts. TBC means the object can be further refined to the listed objects
+- is_negative: 1 if the statement was negated
+- score: salience score of the supervised scoring model
+- local sigma: strict conditional probability of observing a (predicate, object) with a specific subject. I.e., a measure of how unique a statement is. E.g., local_sigma(lawyers, defend, serial_killers) = 1, local_sigma(lawyers, make, money) = 0.01, even though both statements have a similar score of 0.99.
+
+
+## Dataset Creation
+
+See original paper.
+
+## Additional Information
+
+### Licensing Information
+
+CC-BY 2.0
+
+### Citation Information
+
+Romero et al., Commonsense Properties from Query Logs and Question Answering Forums, CIKM, 2019