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"""Linguistic Probing Benchmark from SentEval""" |
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from __future__ import absolute_import, division, print_function |
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import csv |
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import os |
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import textwrap |
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import six |
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import datasets |
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_Linguisticprobing_CITATION = r"""@inproceedings{conneau-etal-2018-cram, |
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title = "What you can cram into a single {\$}{\&}!{\#}* vector: Probing sentence embeddings for linguistic properties", |
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author = {Conneau, Alexis and |
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Kruszewski, German and |
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Lample, Guillaume and |
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Barrault, Lo{\"\i}c and |
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Baroni, Marco}, |
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booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", |
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month = jul, |
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year = "2018", |
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address = "Melbourne, Australia", |
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publisher = "Association for Computational Linguistics", |
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url = "https://www.aclweb.org/anthology/P18-1198", |
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doi = "10.18653/v1/P18-1198", |
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pages = "2126--2136", |
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abstract = "Although much effort has recently been devoted to training high-quality sentence embeddings, we still have a poor understanding of what they are capturing. {``}Downstream{''} tasks, often based on sentence classification, are commonly used to evaluate the quality of sentence representations. The complexity of the tasks makes it however difficult to infer what kind of information is present in the representations. We introduce here 10 probing tasks designed to capture simple linguistic features of sentences, and we use them to study embeddings generated by three different encoders trained in eight distinct ways, uncovering intriguing properties of both encoders and training methods.", |
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} |
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""" |
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_Linguisticprobing_DESCRIPTION = """\ |
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10 probing tasks designed to capture simple linguistic features of sentences, |
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""" |
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DATA_URL = "https://www.dropbox.com/s/djsk4kbu8in66gp/linguisticprobing.zip?dl=1" |
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TASK_TO_LABELS = { |
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"subj_number": ["NN", "NNS"], |
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"word_content": [ |
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"abandoned", |
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"abruptly", |
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"accent", |
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"access", |
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"according", |
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"account", |
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"ache", |
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"ached", |
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"acted", |
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"acting", |
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"actions", |
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"actual", |
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"address", |
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"advantage", |
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"advice", |
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"afford", |
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"agent", |
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"agreement", |
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"aiden", |
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"airport", |
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"alarm", |
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"albert", |
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"alert", |
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"alexander", |
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"alice", |
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"alley", |
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"allowing", |
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"aloud", |
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"amanda", |
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"amber", |
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"american", |
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"amused", |
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"amusement", |
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"ancient", |
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"andy", |
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"annie", |
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"announced", |
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"annoyed", |
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"answering", |
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"anticipation", |
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"anxious", |
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"anybody", |
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"apologize", |
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"appearance", |
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"appears", |
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"approach", |
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"approaching", |
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"arched", |
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"argue", |
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"argument", |
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"aria", |
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"arrive", |
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"ashe", |
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"assume", |
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"assured", |
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"attached", |
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"attacked", |
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"attempted", |
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"audience", |
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"available", |
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"awful", |
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"awkward", |
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"background", |
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"backpack", |
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"backward", |
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"backwards", |
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"bags", |
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"balance", |
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"bank", |
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"barn", |
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"bars", |
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"bastard", |
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"bath", |
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"beating", |
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"begged", |
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"begins", |
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"begun", |
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"behavior", |
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"bell", |
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"belly", |
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"belong", |
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"belonged", |
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"bench", |
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"biggest", |
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"bike", |
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"billy", |
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"bird", |
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"birds", |
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"birth", |
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"birthday", |
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"bitch", |
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"bitter", |
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"blank", |
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"blast", |
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"bleeding", |
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"blind", |
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"blocked", |
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"blond", |
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"blonde", |
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"bond", |
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"bone", |
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"bored", |
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"bothered", |
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"bound", |
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"bowed", |
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"bowl", |
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"boxes", |
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"branches", |
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"brave", |
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"bread", |
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"breast", |
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"breaths", |
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"brian", |
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"brick", |
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"brilliant", |
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"broad", |
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"brows", |
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"brush", |
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"brushing", |
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"buddy", |
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"build", |
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"buildings", |
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"bullet", |
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"bunch", |
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"butt", |
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"cage", |
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"cain", |
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"caleb", |
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"callum", |
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"calmly", |
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"cameron", |
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"capable", |
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"cards", |
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"career", |
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"carol", |
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"caroline", |
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"carriage", |
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"cash", |
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"cassidy", |
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"casual", |
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"catching", |
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"causing", |
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"centuries", |
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"chain", |
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"chairs", |
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"challenge", |
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"chamber", |
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"chances", |
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"changes", |
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"changing", |
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"charged", |
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"checking", |
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"chicken", |
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"chief", |
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"chill", |
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"chloe", |
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"chocolate", |
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"choked", |
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"chosen", |
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"christian", |
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"chuckle", |
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"cigarette", |
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"circles", |
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"circumstances", |
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"claim", |
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"claimed", |
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"clary", |
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"classes", |
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"claws", |
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"clay", |
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"cleaned", |
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"cleaning", |
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"clearing", |
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"clicked", |
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"cliff", |
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"climb", |
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"climbing", |
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"closely", |
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"closest", |
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"cloth", |
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"clothing", |
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"cloud", |
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"clue", |
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"clung", |
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"clutched", |
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"coach", |
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"cocked", |
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"code", |
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"colin", |
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"collapsed", |
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"collar", |
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"colors", |
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"commander", |
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"comment", |
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"complicated", |
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"concrete", |
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"condition", |
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"confidence", |
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"confident", |
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"confirmed", |
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"connected", |
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"connor", |
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"convince", |
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"convinced", |
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"cook", |
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"cops", |
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"copy", |
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"corners", |
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"correct", |
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"cost", |
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"courage", |
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"cousin", |
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"covering", |
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"covers", |
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"crack", |
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"cracked", |
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"crap", |
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"crash", |
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"crashed", |
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"crawled", |
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"cream", |
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"create", |
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"credit", |
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"crept", |
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"crime", |
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"crossing", |
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"crowded", |
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"cruel", |
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"crystal", |
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"cupped", |
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"curiosity", |
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"current", |
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"curse", |
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"cursed", |
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"cute", |
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"cutting", |
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"daemon", |
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"dagger", |
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"damned", |
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"damp", |
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"danced", |
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"danny", |
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"dante", |
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"darkened", |
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"darling", |
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"darted", |
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"dating", |
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"dave", |
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"dawn", |
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"dealing", |
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"delicate", |
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"delicious", |
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"della", |
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"demons", |
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"deny", |
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"department", |
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"desert", |
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"deserved", |
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"destroy", |
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"destroyed", |
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"detail", |
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"detective", |
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"devil", |
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"devon", |
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"digging", |
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"dining", |
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"direct", |
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"directions", |
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"disappear", |
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"disappointed", |
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"disappointment", |
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"disbelief", |
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"discuss", |
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"disgust", |
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"display", |
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"distant", |
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"distracted", |
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"dogs", |
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"dollars", |
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"double", |
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"doubted", |
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"dozen", |
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"drag", |
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"dragging", |
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"drake", |
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"drank", |
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"drawer", |
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"drinks", |
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"driveway", |
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"dropping", |
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"drops", |
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"drug", |
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"drugs", |
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"ducked", |
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"duke", |
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"dull", |
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"duncan", |
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"duty", |
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"dylan", |
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"eager", |
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"eased", |
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"east", |
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"eaten", |
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"echo", |
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"echoed", |
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|
"eddie", |
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"edges", |
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"elbow", |
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"elena", |
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"ellie", |
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"embarrassed", |
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|
"embrace", |
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"emerged", |
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|
"emergency", |
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|
"emotional", |
|
|
"ends", |
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"enemies", |
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"enormous", |
|
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"envelope", |
|
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"equipment", |
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"evan", |
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"event", |
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"everybody", |
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"exact", |
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"exchange", |
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"exchanged", |
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"exclaimed", |
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"exhausted", |
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"exist", |
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"existed", |
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"existence", |
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"exit", |
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"expensive", |
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"experienced", |
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"explanation", |
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"exploded", |
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"exposed", |
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"extended", |
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"extremely", |
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"eyed", |
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"fabric", |
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"fade", |
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"fairly", |
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"faith", |
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"fake", |
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"falls", |
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"families", |
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"fangs", |
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"farm", |
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"farther", |
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"favor", |
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"feared", |
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"feed", |
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"fellow", |
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"fence", |
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"fierce", |
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"fifty", |
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"file", |
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"filling", |
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"fingertips", |
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"finn", |
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"fired", |
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"fixed", |
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"flame", |
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"flashlight", |
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"flicked", |
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"floating", |
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"flushed", |
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"foolish", |
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"football", |
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"footsteps", |
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"forcing", |
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"formed", |
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"frame", |
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"freedom", |
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"french", |
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"friday", |
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"friendly", |
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"frightened", |
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"frown", |
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"frowning", |
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"froze", |
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"frozen", |
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"frustrated", |
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"fuck", |
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"fucking", |
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"furious", |
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"furniture", |
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"fury", |
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"gabe", |
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"games", |
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"garage", |
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"garrett", |
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"gary", |
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"gasp", |
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"gates", |
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"gather", |
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"gathering", |
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"gavin", |
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"gear", |
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"gesture", |
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"gestured", |
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"ghost", |
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"girlfriend", |
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"glances", |
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"glare", |
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"glowing", |
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"goodbye", |
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"gorgeous", |
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"government", |
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"gown", |
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"grabbing", |
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"graham", |
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"grand", |
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"grandfather", |
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"grandma", |
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"grant", |
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"grasp", |
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"grave", |
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"greeted", |
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"grief", |
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"grinning", |
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"groan", |
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"growl", |
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"guessed", |
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"guest", |
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"guests", |
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"guns", |
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"gwen", |
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"halfway", |
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"hank", |
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"hanna", |
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"happily", |
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"happiness", |
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"harry", |
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"harsh", |
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"heal", |
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"heartbeat", |
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"heaven", |
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"height", |
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"hero", |
|
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"hesitation", |
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"hissed", |
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"hitting", |
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"holds", |
|
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"holiday", |
|
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"holly", |
|
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"holy", |
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"honor", |
|
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"hopefully", |
|
|
"horizon", |
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"houses", |
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"humor", |
|
|
"hundreds", |
|
|
"hunger", |
|
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"hunt", |
|
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"hunting", |
|
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"hurting", |
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"ideas", |
|
|
"idiot", |
|
|
"ignoring", |
|
|
"images", |
|
|
"imagination", |
|
|
"impressed", |
|
|
"impression", |
|
|
"inches", |
|
|
"including", |
|
|
"incredible", |
|
|
"incredibly", |
|
|
"informed", |
|
|
"injured", |
|
|
"inner", |
|
|
"insane", |
|
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"intended", |
|
|
"intensity", |
|
|
"invisible", |
|
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"invited", |
|
|
"iron", |
|
|
"isaac", |
|
|
"issue", |
|
|
"items", |
|
|
"jamie", |
|
|
"jared", |
|
|
"jealous", |
|
|
"jeremy", |
|
|
"jerk", |
|
|
"jess", |
|
|
"jesus", |
|
|
"jimmy", |
|
|
"joey", |
|
|
"johnny", |
|
|
"jonas", |
|
|
"jordan", |
|
|
"joseph", |
|
|
"joshua", |
|
|
"josie", |
|
|
"journey", |
|
|
"judge", |
|
|
"jumping", |
|
|
"kane", |
|
|
"karen", |
|
|
"katherine", |
|
|
"katie", |
|
|
"keeps", |
|
|
"kevin", |
|
|
"kicking", |
|
|
"kidding", |
|
|
"killer", |
|
|
"kisses", |
|
|
"knelt", |
|
|
"knocking", |
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|
"ladies", |
|
|
"landing", |
|
|
"language", |
|
|
"larger", |
|
|
"lately", |
|
|
"laura", |
|
|
"lauren", |
|
|
"lawyer", |
|
|
"lean", |
|
|
"leapt", |
|
|
"learning", |
|
|
"lesson", |
|
|
"letters", |
|
|
"licked", |
|
|
"lies", |
|
|
"lifting", |
|
|
"lightning", |
|
|
"likes", |
|
|
"lined", |
|
|
"liquid", |
|
|
"lobby", |
|
|
"location", |
|
|
"london", |
|
|
"lonely", |
|
|
"louder", |
|
|
"lover", |
|
|
"loves", |
|
|
"loving", |
|
|
"lucien", |
|
|
"lucy", |
|
|
"major", |
|
|
"mama", |
|
|
"manner", |
|
|
"marks", |
|
|
"martin", |
|
|
"mask", |
|
|
"mason", |
|
|
"mass", |
|
|
"massive", |
|
|
"mate", |
|
|
"material", |
|
|
"mattered", |
|
|
"matters", |
|
|
"meaning", |
|
|
"meat", |
|
|
"medical", |
|
|
"melissa", |
|
|
"member", |
|
|
"members", |
|
|
"mental", |
|
|
"mere", |
|
|
"merely", |
|
|
"midnight", |
|
|
"military", |
|
|
"minds", |
|
|
"miranda", |
|
|
"mist", |
|
|
"mixed", |
|
|
"moaned", |
|
|
"monday", |
|
|
"moonlight", |
|
|
"morgan", |
|
|
"mortal", |
|
|
"motioned", |
|
|
"mountains", |
|
|
"movements", |
|
|
"moves", |
|
|
"movies", |
|
|
"mumbled", |
|
|
"muscle", |
|
|
"mystery", |
|
|
"nails", |
|
|
"named", |
|
|
"nathan", |
|
|
"nearest", |
|
|
"necklace", |
|
|
"needing", |
|
|
"nerves", |
|
|
"nervously", |
|
|
"nicolas", |
|
|
"nicole", |
|
|
"nightmare", |
|
|
"nights", |
|
|
"nina", |
|
|
"nodding", |
|
|
"nods", |
|
|
"nora", |
|
|
"noted", |
|
|
"notes", |
|
|
"numbers", |
|
|
"object", |
|
|
"occurred", |
|
|
"offering", |
|
|
"officers", |
|
|
"oliver", |
|
|
"opens", |
|
|
"opinion", |
|
|
"option", |
|
|
"orange", |
|
|
"ordinary", |
|
|
"original", |
|
|
"ourselves", |
|
|
"overhead", |
|
|
"owner", |
|
|
"packed", |
|
|
"pages", |
|
|
"painful", |
|
|
"paint", |
|
|
"painted", |
|
|
"painting", |
|
|
"palace", |
|
|
"palms", |
|
|
"paris", |
|
|
"parted", |
|
|
"particularly", |
|
|
"partner", |
|
|
"parts", |
|
|
"passenger", |
|
|
"passion", |
|
|
"patch", |
|
|
"patience", |
|
|
"patient", |
|
|
"patrick", |
|
|
"patted", |
|
|
"paying", |
|
|
"period", |
|
|
"permission", |
|
|
"pete", |
|
|
"photo", |
|
|
"pile", |
|
|
"pillow", |
|
|
"pissed", |
|
|
"pity", |
|
|
"placing", |
|
|
"plain", |
|
|
"planet", |
|
|
"plastic", |
|
|
"pleasant", |
|
|
"plus", |
|
|
"pockets", |
|
|
"points", |
|
|
"polite", |
|
|
"popped", |
|
|
"positive", |
|
|
"possibility", |
|
|
"potential", |
|
|
"pounded", |
|
|
"powers", |
|
|
"precious", |
|
|
"prefer", |
|
|
"prepare", |
|
|
"president", |
|
|
"preston", |
|
|
"pretend", |
|
|
"pretending", |
|
|
"previous", |
|
|
"price", |
|
|
"pride", |
|
|
"princess", |
|
|
"prison", |
|
|
"professor", |
|
|
"program", |
|
|
"progress", |
|
|
"project", |
|
|
"proof", |
|
|
"proper", |
|
|
"property", |
|
|
"protection", |
|
|
"protest", |
|
|
"provide", |
|
|
"provided", |
|
|
"pulse", |
|
|
"punch", |
|
|
"punched", |
|
|
"pure", |
|
|
"purple", |
|
|
"puts", |
|
|
"quinn", |
|
|
"quit", |
|
|
"racing", |
|
|
"radio", |
|
|
"rafe", |
|
|
"raise", |
|
|
"raising", |
|
|
"rapidly", |
|
|
"rare", |
|
|
"rarely", |
|
|
"reaches", |
|
|
"react", |
|
|
"realizing", |
|
|
"rear", |
|
|
"rebecca", |
|
|
"recall", |
|
|
"received", |
|
|
"recently", |
|
|
"record", |
|
|
"reflection", |
|
|
"refuse", |
|
|
"regular", |
|
|
"reluctantly", |
|
|
"remaining", |
|
|
"remains", |
|
|
"remembering", |
|
|
"remind", |
|
|
"remove", |
|
|
"replaced", |
|
|
"request", |
|
|
"required", |
|
|
"rescue", |
|
|
"research", |
|
|
"resist", |
|
|
"responsibility", |
|
|
"responsible", |
|
|
"result", |
|
|
"returning", |
|
|
"reveal", |
|
|
"revealed", |
|
|
"revealing", |
|
|
"ribs", |
|
|
"riding", |
|
|
"rifle", |
|
|
"roar", |
|
|
"robe", |
|
|
"robert", |
|
|
"rode", |
|
|
"rope", |
|
|
"rubbing", |
|
|
"ruin", |
|
|
"ruined", |
|
|
"rule", |
|
|
"runs", |
|
|
"rushing", |
|
|
"sadly", |
|
|
"sadness", |
|
|
"sake", |
|
|
"sally", |
|
|
"satisfaction", |
|
|
"satisfied", |
|
|
"saturday", |
|
|
"savannah", |
|
|
"saving", |
|
|
"scanned", |
|
|
"scar", |
|
|
"scare", |
|
|
"scattered", |
|
|
"scott", |
|
|
"scrambled", |
|
|
"screams", |
|
|
"seated", |
|
|
"seats", |
|
|
"secrets", |
|
|
"section", |
|
|
"sees", |
|
|
"self", |
|
|
"sell", |
|
|
"sensation", |
|
|
"sensed", |
|
|
"senses", |
|
|
"sentence", |
|
|
"separate", |
|
|
"serena", |
|
|
"series", |
|
|
"serve", |
|
|
"served", |
|
|
"settle", |
|
|
"sexy", |
|
|
"shade", |
|
|
"shakes", |
|
|
"shame", |
|
|
"sharply", |
|
|
"shattered", |
|
|
"sheet", |
|
|
"sheets", |
|
|
"sheriff", |
|
|
"shield", |
|
|
"shining", |
|
|
"shiver", |
|
|
"shivered", |
|
|
"shooting", |
|
|
"shopping", |
|
|
"shore", |
|
|
"shortly", |
|
|
"shorts", |
|
|
"shout", |
|
|
"shouting", |
|
|
"shown", |
|
|
"shrug", |
|
|
"shuddered", |
|
|
"sidewalk", |
|
|
"sideways", |
|
|
"signal", |
|
|
"signs", |
|
|
"silk", |
|
|
"silly", |
|
|
"similar", |
|
|
"sisters", |
|
|
"site", |
|
|
"sits", |
|
|
"skills", |
|
|
"skirt", |
|
|
"skull", |
|
|
"slapped", |
|
|
"sleeve", |
|
|
"slide", |
|
|
"slipping", |
|
|
"slowed", |
|
|
"slumped", |
|
|
"smaller", |
|
|
"smith", |
|
|
"snap", |
|
|
"social", |
|
|
"society", |
|
|
"sofa", |
|
|
"somewhat", |
|
|
"sooner", |
|
|
"sophia", |
|
|
"sophie", |
|
|
"souls", |
|
|
"sounding", |
|
|
"source", |
|
|
"spare", |
|
|
"speech", |
|
|
"spencer", |
|
|
"spending", |
|
|
"spinning", |
|
|
"split", |
|
|
"spring", |
|
|
"squeeze", |
|
|
"stands", |
|
|
"stated", |
|
|
"statement", |
|
|
"states", |
|
|
"steal", |
|
|
"stepping", |
|
|
"stiff", |
|
|
"stirred", |
|
|
"stole", |
|
|
"stones", |
|
|
"stops", |
|
|
"straightened", |
|
|
"stream", |
|
|
"stretch", |
|
|
"strike", |
|
|
"strode", |
|
|
"stroked", |
|
|
"struggle", |
|
|
"struggling", |
|
|
"student", |
|
|
"students", |
|
|
"studying", |
|
|
"stuffed", |
|
|
"style", |
|
|
"success", |
|
|
"suggest", |
|
|
"sunday", |
|
|
"sunlight", |
|
|
"supplies", |
|
|
"surprisingly", |
|
|
"surrounding", |
|
|
"survived", |
|
|
"suspect", |
|
|
"suspected", |
|
|
"suspicious", |
|
|
"swallow", |
|
|
"sweetheart", |
|
|
"swiftly", |
|
|
"swing", |
|
|
"switch", |
|
|
"t-shirt", |
|
|
"tables", |
|
|
"tail", |
|
|
"tapped", |
|
|
"tara", |
|
|
"target", |
|
|
"task", |
|
|
"tasted", |
|
|
"taught", |
|
|
"taylor", |
|
|
"teach", |
|
|
"teacher", |
|
|
"teased", |
|
|
"teasing", |
|
|
"television", |
|
|
"tells", |
|
|
"temper", |
|
|
"temple", |
|
|
"tense", |
|
|
"tent", |
|
|
"terms", |
|
|
"terrified", |
|
|
"terror", |
|
|
"tessa", |
|
|
"text", |
|
|
"thigh", |
|
|
"thighs", |
|
|
"thousands", |
|
|
"threatened", |
|
|
"threatening", |
|
|
"throughout", |
|
|
"thrown", |
|
|
"thrust", |
|
|
"tighter", |
|
|
"till", |
|
|
"tipped", |
|
|
"toby", |
|
|
"toes", |
|
|
"tony", |
|
|
"tore", |
|
|
"torn", |
|
|
"total", |
|
|
"tough", |
|
|
"towel", |
|
|
"tower", |
|
|
"trace", |
|
|
"tracks", |
|
|
"traffic", |
|
|
"trailed", |
|
|
"trained", |
|
|
"trap", |
|
|
"trapped", |
|
|
"traveled", |
|
|
"travis", |
|
|
"tray", |
|
|
"treat", |
|
|
"treated", |
|
|
"trembled", |
|
|
"trevor", |
|
|
"trick", |
|
|
"tristan", |
|
|
"trunk", |
|
|
"trusted", |
|
|
"twelve", |
|
|
"ugly", |
|
|
"unconscious", |
|
|
"unexpected", |
|
|
"uniform", |
|
|
"universe", |
|
|
"unknown", |
|
|
"unlike", |
|
|
"unsure", |
|
|
"unusual", |
|
|
"upper", |
|
|
"upright", |
|
|
"upward", |
|
|
"useful", |
|
|
"useless", |
|
|
"valley", |
|
|
"vanished", |
|
|
"various", |
|
|
"vehicle", |
|
|
"veins", |
|
|
"victor", |
|
|
"video", |
|
|
"vincent", |
|
|
"violet", |
|
|
"visible", |
|
|
"vulnerable", |
|
|
"walks", |
|
|
"wandered", |
|
|
"warrior", |
|
|
"wash", |
|
|
"washed", |
|
|
"waving", |
|
|
"weather", |
|
|
"werewolf", |
|
|
"whipped", |
|
|
"whispers", |
|
|
"whom", |
|
|
"willow", |
|
|
"winced", |
|
|
"wings", |
|
|
"winked", |
|
|
"wise", |
|
|
"wishing", |
|
|
"witch", |
|
|
"wolves", |
|
|
"worn", |
|
|
"wounded", |
|
|
"wounds", |
|
|
"wrap", |
|
|
"wrapping", |
|
|
"wrists", |
|
|
"wrote", |
|
|
"xavier", |
|
|
"yanked", |
|
|
"yard", |
|
|
"yards", |
|
|
"yelling", |
|
|
"zach", |
|
|
], |
|
|
"obj_number": ["NN", "NNS"], |
|
|
"past_present": ["PAST", "PRES"], |
|
|
"sentence_length": [0, 1, 2, 3, 4, 5], |
|
|
"top_constituents": [ |
|
|
"ADVP_NP_VP_.", |
|
|
"CC_ADVP_NP_VP_.", |
|
|
"CC_NP_VP_.", |
|
|
"IN_NP_VP_.", |
|
|
"NP_ADVP_VP_.", |
|
|
"NP_NP_VP_.", |
|
|
"NP_PP_.", |
|
|
"NP_VP_.", |
|
|
"OTHER", |
|
|
"PP_NP_VP_.", |
|
|
"RB_NP_VP_.", |
|
|
"SBAR_NP_VP_.", |
|
|
"SBAR_VP_.", |
|
|
"S_CC_S_.", |
|
|
"S_NP_VP_.", |
|
|
"S_VP_.", |
|
|
"VBD_NP_VP_.", |
|
|
"VP_.", |
|
|
"WHADVP_SQ_.", |
|
|
"WHNP_SQ_.", |
|
|
], |
|
|
"tree_depth": ["depth_5", "depth_6", "depth_7", "depth_8", "depth_9", "depth_10", "depth_11"], |
|
|
"coordination_inversion": ["I", "O"], |
|
|
"odd_man_out": ["C", "O"], |
|
|
"bigram_shift": ["I", "O"], |
|
|
} |
|
|
|
|
|
|
|
|
def get_labels(task): |
|
|
return TASK_TO_LABELS[task] |
|
|
|
|
|
|
|
|
class LinguisticprobingConfig(datasets.BuilderConfig): |
|
|
"""BuilderConfig for Linguisticprobing.""" |
|
|
|
|
|
def __init__( |
|
|
self, |
|
|
text_features, |
|
|
label_classes=None, |
|
|
process_label=lambda x: x, |
|
|
**kwargs, |
|
|
): |
|
|
"""BuilderConfig for Linguisticprobing. |
|
|
Args: |
|
|
text_features: `dict[string, string]`, map from the name of the feature |
|
|
dict for each text field to the name of the column in the tsv file |
|
|
label_column: `string`, name of the column in the tsv file corresponding |
|
|
to the label |
|
|
data_url: `string`, url to download the zip file from |
|
|
data_dir: `string`, the path to the folder containing the tsv files in the |
|
|
downloaded zip |
|
|
citation: `string`, citation for the data set |
|
|
url: `string`, url for information about the data set |
|
|
label_classes: `list[string]`, the list of classes if the label is |
|
|
categorical. If not provided, then the label will be of type |
|
|
`datasets.Value('float32')`. |
|
|
process_label: `Function[string, any]`, function taking in the raw value |
|
|
of the label and processing it to the form required by the label feature |
|
|
**kwargs: keyword arguments forwarded to super. |
|
|
""" |
|
|
|
|
|
super(LinguisticprobingConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs) |
|
|
|
|
|
self.text_features = text_features |
|
|
self.label_column = "label" |
|
|
self.label_classes = get_labels(self.name) |
|
|
self.data_url = DATA_URL |
|
|
self.data_dir = os.path.join("linguisticprobing", self.name) |
|
|
self.citation = textwrap.dedent(_Linguisticprobing_CITATION) |
|
|
self.process_label = process_label |
|
|
self.description = "" |
|
|
self.url = "" |
|
|
|
|
|
|
|
|
class Linguisticprobing(datasets.GeneratorBasedBuilder): |
|
|
|
|
|
"""The General Language Understanding Evaluation (Linguisticprobing) benchmark.""" |
|
|
|
|
|
BUILDER_CONFIG_CLASS = LinguisticprobingConfig |
|
|
|
|
|
BUILDER_CONFIGS = [ |
|
|
LinguisticprobingConfig( |
|
|
name="subj_number", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
LinguisticprobingConfig( |
|
|
name="word_content", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
LinguisticprobingConfig( |
|
|
name="obj_number", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
LinguisticprobingConfig( |
|
|
name="past_present", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
LinguisticprobingConfig( |
|
|
name="sentence_length", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
LinguisticprobingConfig( |
|
|
name="top_constituents", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
LinguisticprobingConfig( |
|
|
name="tree_depth", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
LinguisticprobingConfig( |
|
|
name="coordination_inversion", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
LinguisticprobingConfig( |
|
|
name="odd_man_out", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
LinguisticprobingConfig( |
|
|
name="bigram_shift", |
|
|
text_features={"sentence": "sentence"}, |
|
|
), |
|
|
] |
|
|
|
|
|
def _info(self): |
|
|
features = {text_feature: datasets.Value("string") for text_feature in six.iterkeys(self.config.text_features)} |
|
|
if self.config.label_classes: |
|
|
features["label"] = datasets.features.ClassLabel(names=self.config.label_classes) |
|
|
else: |
|
|
features["label"] = datasets.Value("float32") |
|
|
features["idx"] = datasets.Value("int32") |
|
|
return datasets.DatasetInfo( |
|
|
description=_Linguisticprobing_DESCRIPTION, |
|
|
features=datasets.Features(features), |
|
|
homepage=self.config.url, |
|
|
citation=self.config.citation + "\n" + _Linguisticprobing_CITATION, |
|
|
) |
|
|
|
|
|
def _split_generators(self, dl_manager): |
|
|
dl_dir = dl_manager.download_and_extract(self.config.data_url) |
|
|
data_dir = os.path.join(dl_dir, self.config.data_dir) |
|
|
|
|
|
return [ |
|
|
datasets.SplitGenerator( |
|
|
name=datasets.Split.TRAIN, |
|
|
gen_kwargs={ |
|
|
"data_file": os.path.join(data_dir or "", "train.tsv"), |
|
|
"split": "train", |
|
|
}, |
|
|
), |
|
|
datasets.SplitGenerator( |
|
|
name=datasets.Split.VALIDATION, |
|
|
gen_kwargs={ |
|
|
"data_file": os.path.join(data_dir or "", "dev.tsv"), |
|
|
"split": "dev", |
|
|
}, |
|
|
), |
|
|
datasets.SplitGenerator( |
|
|
name=datasets.Split.TEST, |
|
|
gen_kwargs={ |
|
|
"data_file": os.path.join(data_dir or "", "test.tsv"), |
|
|
"split": "test", |
|
|
}, |
|
|
), |
|
|
] |
|
|
|
|
|
def _generate_examples(self, data_file, split): |
|
|
|
|
|
process_label = self.config.process_label |
|
|
label_classes = self.config.label_classes |
|
|
|
|
|
with open(data_file, encoding="utf8") as f: |
|
|
reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE) |
|
|
|
|
|
for n, row in enumerate(reader): |
|
|
|
|
|
example = {feat: row[col] for feat, col in six.iteritems(self.config.text_features)} |
|
|
example["idx"] = n |
|
|
|
|
|
if self.config.label_column in row: |
|
|
label = row[self.config.label_column] |
|
|
if label_classes and label not in label_classes: |
|
|
label = int(label) if label else None |
|
|
example["label"] = process_label(label) |
|
|
else: |
|
|
example["label"] = process_label(-1) |
|
|
yield example["idx"], example |
|
|
|
