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