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README.md
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [
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- [_all-sci-fi-data.txt_](#all-data)
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- [Files in _Test-Train-Val_ Directory](#test-train-val)
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- [Files in _Input_OutputFiles_ Directory](#input-output)
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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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---
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## Dataset Structure
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### _all-sci-fi-data.txt_
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* Each line of the stories contains data in the format: 5-tuple events in a list (subject, verb, direct object, modifier noun, preposition) ||| generalized 5-tuple events in a list ||| original sentence ||| generalized sentence
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```
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Format](#format)
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- [Raw Dataset Structure](#dataset-structure)
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- [_all-sci-fi-data.txt_](#all-data)
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- [Files in _Test-Train-Val_ Directory](#test-train-val)
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- [Files in _Input_OutputFiles_ Directory](#input-output)
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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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## Raw Dataset Structure
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### _all-sci-fi-data.txt_
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* Each line of the stories contains data in the format: 5-tuple events in a list (subject, verb, direct object, modifier noun, preposition) ||| generalized 5-tuple events in a list ||| original sentence ||| generalized sentence
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```
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