Datasets:
Lara Martin
commited on
Commit
·
837edef
1
Parent(s):
6d824a6
working data processing
Browse files- Scifi_TV_Shows.py +22 -39
- dummy/Scifi_TV_Shows/1.1.0/dummy_data.zip +0 -0
Scifi_TV_Shows.py
CHANGED
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@@ -19,6 +19,8 @@ import json
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import datasets
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_CITATION = '''
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@inproceedings{Ammanabrolu2020AAAI,
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title={Story Realization: Expanding Plot Events into Sentences},
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@@ -48,6 +50,7 @@ class Scifi_TV_Shows(datasets.GeneratorBasedBuilder):
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def _info(self):
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features = datasets.Features({
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'story_num': datasets.Value('int16'),
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'event': datasets.Sequence(datasets.Value('string')),
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'gen_event': datasets.Sequence(datasets.Value('string')),
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'sent': datasets.Value('string'),
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@@ -72,12 +75,11 @@ class Scifi_TV_Shows(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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my_urls = _URLS[self.config.name]
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data_dir = dl_manager.download_and_extract(my_urls)
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train_filepath = os.path.join(data_dir, "
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test_filepath = os.path.join(data_dir, "
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val_filepath = os.path.join(data_dir, "
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all_filepath = os.path.join(data_dir, "all-sci-fi-data.txt")
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return[
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name=datasets.Split.TRAIN,
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gen_kwargs={
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'filepath': train_filepath,
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@@ -94,41 +96,22 @@ class Scifi_TV_Shows(datasets.GeneratorBasedBuilder):
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gen_kwargs={
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'filepath': val_filepath,
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},
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),
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datasets.SplitGenerator(
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name="all",
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gen_kwargs={
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'filepath': all_filepath,
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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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'story_num': story_count,
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'event': eval(event),
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'gen_event': eval(gen_event),
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'sent': sent,
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'gen_sent': gen_sent,
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'entities': entities,
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}
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story = []
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story_count+=1
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elif "<EOS>" in line:
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continue
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else:
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story.append(line)
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import datasets
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import os
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_CITATION = '''
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@inproceedings{Ammanabrolu2020AAAI,
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title={Story Realization: Expanding Plot Events into Sentences},
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def _info(self):
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features = datasets.Features({
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'story_num': datasets.Value('int16'),
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'story_line': datasets.Value('int16'),
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'event': datasets.Sequence(datasets.Value('string')),
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'gen_event': datasets.Sequence(datasets.Value('string')),
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'sent': datasets.Value('string'),
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def _split_generators(self, dl_manager):
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my_urls = _URLS[self.config.name]
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data_dir = dl_manager.download_and_extract(my_urls)
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train_filepath = os.path.join(data_dir, "scifi-train.txt")
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test_filepath = os.path.join(data_dir, "scifi-test.txt")
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val_filepath = os.path.join(data_dir, "scifi-val.txt")
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return[
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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'filepath': train_filepath,
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gen_kwargs={
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'filepath': val_filepath,
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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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with open(filepath, encoding="utf-8") as f:
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for id_, line in enumerate(f.readlines()):
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line = line.strip()
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story_num, line_num, event, gen_event, sent, gen_sent, entities = line.split("|||")
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yield id_, {
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'story_num': story_num,
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'story_line': line_num,
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'event': eval(event),
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'gen_event': eval(gen_event),
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'sent': sent,
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'gen_sent': gen_sent,
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'entities': entities,
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}
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dummy/Scifi_TV_Shows/1.1.0/dummy_data.zip
DELETED
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Binary file (356 kB)
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