Datasets:
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
License:
yonatanbitton
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Parent(s):
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Update README.md
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README.md
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## Dataset Structure
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### Data Fields
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A: datasets.Image() - the first input image, **A**:A'
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A': datasets.Image() - the second input image, different from A
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B: datasets.Image() - the third input image, has the same different item as A, **B**:B'.
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B': datasets.Image() - the forth image, which is the analogy solution. Different from B
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candidates_images: [datasets.Image()] - a list of candidate images solutions to the analogy.
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label: datasets.Value("int64") - the index of the ground-truth solution. Hidden in the test set.
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candidates: [datasets.Value("string")] - a list of candidate string solutions to the analogy.
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### Data Splits
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There are three splits, TRAIN, VALIDATION, and TEST.
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## Dataset Structure
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### Data Fields
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70 |
+
A: datasets.Image() - the first input image, **A**:A'.
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71 |
+
A': datasets.Image() - the second input image, different from A in a single key, A:**A'**.
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+
B: datasets.Image() - the third input image, has the same different item as A, **B**:B'.
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+
B': datasets.Image() - the forth image, which is the analogy solution. Different from B in a single key (the same different one as in A:A'), B:**B'**. Hidden in the test set.
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+
candidates_images: [datasets.Image()] - a list of candidate images solutions to the analogy.
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75 |
+
label: datasets.Value("int64") - the index of the ground-truth solution. Hidden in the test set.
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76 |
+
candidates: [datasets.Value("string")] - a list of candidate string solutions to the analogy.
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### Data Splits
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There are three splits, TRAIN, VALIDATION, and TEST.
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