Published March 3, 2023
| Version v1
Dataset
Open
TraVLR: Now You See It, Now You Don't! A Bimodal Dataset for Evaluating Visio-Linguisic Reasoning
Authors/Creators
- 1. National University of Singapore
- 2. AWS AI Research & Education
Description
TraVLR dataset for evaluation of visio-linguistic reasoning and cross-modal transfer. Four reasoning tasks are supported: spatiality, cardinality, numerical comparison and quantifiers. For some of the datasets, we provide two versions which differ only in their training sets: one with 8k training examples, and another with 32k training examples. The validation sets, in-distribution and out-of-distribution test sets are identical.
Files
cardinality32k.zip
Files
(5.8 GB)
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md5:92e95d7efeb4817f2dea84062d328741
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md5:a56efb8dd05ca13dd01cc783f3b957ba
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md5:013104f0a626ad79dfc51684f8201887
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md5:4947349b1275c6560b13a872a98f517d
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md5:ee20c42de7f99447188b53a04f90d30d
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320.9 MB | Preview Download |