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README.md
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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
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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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| 59 |
+
| 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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