Datasets:
Tasks:
Question Answering
Formats:
csv
Sub-tasks:
closed-domain-qa
Languages:
English
Size:
1M - 10M
License:
| 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 | |
| ```python | |
| { | |
| "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 | |