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"""Story Cloze datasets.""" |
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import csv |
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import os |
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import datasets |
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_DESCRIPTION = """ |
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Story Cloze Test' is a commonsense reasoning framework for evaluating story understanding, |
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story generation, and script learning.This test requires a system to choose the correct ending |
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to a four-sentence story. |
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""" |
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_CITATION = """\ |
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@inproceedings{mostafazadeh2017lsdsem, |
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title={Lsdsem 2017 shared task: The story cloze test}, |
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author={Mostafazadeh, Nasrin and Roth, Michael and Louis, Annie and Chambers, Nathanael and Allen, James}, |
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booktitle={Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics}, |
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pages={46--51}, |
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year={2017} |
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} |
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""" |
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class StoryCloze(datasets.GeneratorBasedBuilder): |
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"""Story Cloze.""" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="2016", description="Story Cloze Test Spring 2016 set"), |
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datasets.BuilderConfig(name="2018", description="Story Cloze Test Winter 2018 set"), |
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] |
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@property |
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def manual_download_instructions(self): |
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return ( |
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"To use Story Cloze you have to download it manually. Please fill this " |
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"google form (http://goo.gl/forms/aQz39sdDrO). Complete the form. " |
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"Then you will receive a download link for the dataset. Load it using: " |
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"`datasets.load_dataset('story_cloze', data_dir='path/to/folder/folder_name')`" |
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) |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"story_id": datasets.Value("string"), |
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"input_sentence_1": datasets.Value("string"), |
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"input_sentence_2": datasets.Value("string"), |
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"input_sentence_3": datasets.Value("string"), |
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"input_sentence_4": datasets.Value("string"), |
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"sentence_quiz1": datasets.Value("string"), |
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"sentence_quiz2": datasets.Value("string"), |
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"answer_right_ending": datasets.Value("int32"), |
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} |
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), |
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homepage="https://cs.rochester.edu/nlp/rocstories/", |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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path_to_manual_folder = os.path.abspath(os.path.expanduser(dl_manager.manual_dir)) |
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if self.config.name == "2016": |
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test_file = os.path.join(path_to_manual_folder, "cloze_test_test__spring2016 - cloze_test_ALL_test.csv") |
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val_file = os.path.join(path_to_manual_folder, "cloze_test_val__spring2016 - cloze_test_ALL_val.csv") |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={ |
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"filepath": val_file, |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"filepath": test_file, |
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}, |
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), |
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] |
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else: |
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val_file = os.path.join(path_to_manual_folder, "cloze_test_val__winter2018-cloze_test_ALL_val - 1 - 1.csv") |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={ |
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"filepath": val_file, |
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}, |
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), |
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] |
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def _generate_examples(self, filepath): |
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"""Generate Story Cloze examples.""" |
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with open(filepath, encoding="utf-8") as csv_file: |
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csv_reader = csv.reader( |
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csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True |
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) |
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_ = next(csv_reader) |
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for id_, row in enumerate(csv_reader): |
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if row and len(row) == 8: |
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yield id_, { |
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"story_id": row[0], |
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"input_sentence_1": row[1], |
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"input_sentence_2": row[2], |
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"input_sentence_3": row[3], |
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"input_sentence_4": row[4], |
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"sentence_quiz1": row[5], |
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"sentence_quiz2": row[6], |
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"answer_right_ending": int(row[7]), |
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} |
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