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Dataset Card for "COGS"
It contains the dataset used in the paper COGS: A Compositional Generalization Challenge Based on Semantic Interpretation.
It has four splits, where gen refers to the generalization split and train_100 refers to the training version with 100 primitive exposure examples.
You can use it by calling:
train_data = datasets.load_dataset("Punchwe/COGS", split="train")
train100_data = datasets.load_dataset("Punchwe/COGS", split="train_100")
gen_data = datasets.load_dataset("Punchwe/COGS", split="gen")
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