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@@ -53,11 +53,11 @@ Total: 2276 stories
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  Dataset is "eventified" and generalized (see LJ Martin, P Ammanabrolu, X Wang, W Hancock, S Singh, B Harrison, and MO Riedl. Event Representations for Automated Story Generation with Deep Neural Nets, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018. for details on these processes.) and split into train-test-validation sets—separated by story so that full stories will stay together—for converting events into full sentences.
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  ## Format
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- | Dataset Split | Number of Stories in Split | Number of Lines in Split |
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- | ------------- |--------------------------- |------------------------- |
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- | Train | 1738 | 257,184 |
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- | Validation | 194 | 32,855 |
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- | Test | 450 | 30,938 |
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  ---
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  ## Dataset Structure
 
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  Dataset is "eventified" and generalized (see LJ Martin, P Ammanabrolu, X Wang, W Hancock, S Singh, B Harrison, and MO Riedl. Event Representations for Automated Story Generation with Deep Neural Nets, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018. for details on these processes.) and split into train-test-validation sets—separated by story so that full stories will stay together—for converting events into full sentences.
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  ## Format
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+ | Dataset Split | Number of Stories in Split | Number of Sentences in Split |
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+ | ------------- |--------------------------- |----------------------------- |
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+ | Train | 1738 | 257,184 |
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+ | Validation | 194 | 32,855 |
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+ | Test | 450 | 30,938 |
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  ---
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  ## Dataset Structure