Social Interaction QA
- 1. Paul G. Allen School of Computer Science & Engineering, Seattle, WA, USA
Description
Description
Social Interaction QA, a new question-answering benchmark for testing social commonsense intelligence. Contrary to many prior benchmarks that focus on physical or taxonomic knowledge, Social IQa focuses on reasoning about people's actions and their social implications. For example, given an action like "Jesse saw a concert" and a question like "Why did Jesse do this?", humans can easily infer that Jesse wanted "to see their favorite performer" or "to enjoy the music", and not "to see what's happening inside" or "to see if it works". The actions in Social IQa span a wide variety of social situations, and answer candidates contain both human-curated answers and adversarially-filtered machine-generated candidates. Social IQa contains over 37,000 QA pairs for evaluating models' abilities to reason about the social implications of everyday events and situations.
Files
Files
(8.6 MB)
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md5:affc925326f542c589a03275cffb4bc8
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md5:7b054931b1479db2489183407e16e92e
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474.4 kB | Download |
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md5:74bf7ea01abaf0387e155aaf8bb5d64e
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md5:48cd08f8901a5b3a9b547e9a990fb27a
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8.1 MB | Download |
Variables
| Name | Description |
|---|---|
| context | A context describing a sitation |
| question | A question probing commonsense reasoning about motivation, emotional reactions etc. |
| answerA | The first answer choice |
| answerB | The second answer choice |
| answerC | The third answer choice |
Details
| Resource type | Open dataset |
| Title | Social Interaction QA |
| Alternative title | Social IQA |
| Creators |
|
| Research Fields | Business Administration Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Other |
| Size | 0.01 GB |
| Formats | JSON format (.json) |
| License(s) | Undefined |
| External Resource | https://leaderboard.allenai.org/socialiqa/submissions/get-started |