diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..957b2579c6ef20995a09efd9a17f8fd90606f5ed --- /dev/null +++ b/.gitattributes @@ -0,0 +1,27 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/blimp.py b/blimp.py new file mode 100644 index 0000000000000000000000000000000000000000..732edc3a4738802b52fc746c4388aee8a370af23 --- /dev/null +++ b/blimp.py @@ -0,0 +1,195 @@ +# coding=utf-8 +# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""BLiMP dataset with minimal pairs of grammatical phenomena in English.""" + +from __future__ import absolute_import, division, print_function + +import json +import os + +import datasets + + +_CITATION = """ +@article{warstadt2019blimp, + title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English}, + author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R}, + journal={arXiv preprint arXiv:1912.00582}, + year={2019} +} +""" + +_DESCRIPTION = """ +BLiMP is a challenge set for evaluating what language models (LMs) know about +major grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each +containing 1000 minimal pairs isolating specific contrasts in syntax, +morphology, or semantics. The data is automatically generated according to +expert-crafted grammars. +""" + +_PROJECT_URL = "https://github.com/alexwarstadt/blimp/tree/master/" +_DOWNLOAD_URL = "https://raw.githubusercontent.com/alexwarstadt/blimp/master/" + + +class BlimpConfig(datasets.BuilderConfig): + """BuilderConfig for Blimp.""" + + def __init__(self, paradigm_uid, **kwargs): + """BuilderConfig for Blimp. + + Args: + paradigm_uid: string, UID of the linguistic paradigm + **kwargs: keyword arguments forwarded to super. + """ + name = paradigm_uid + + description = _DESCRIPTION + description += ("This configuration includes the paradigm {}.").format(name) + + super(BlimpConfig, self).__init__( + name=name, description=description, version=datasets.Version("0.1.0"), **kwargs + ) + + +class Blimp(datasets.GeneratorBasedBuilder): + """Minimal grammatical and ungrammatical pairs of 67 linguistic paradigms.""" + + all_paradigms = [ + "adjunct_island", + "anaphor_gender_agreement", + "anaphor_number_agreement", + "animate_subject_passive", + "animate_subject_trans", + "causative", + "complex_NP_island", + "coordinate_structure_constraint_complex_left_branch", + "coordinate_structure_constraint_object_extraction", + "determiner_noun_agreement_1", + "determiner_noun_agreement_2", + "determiner_noun_agreement_irregular_1", + "determiner_noun_agreement_irregular_2", + "determiner_noun_agreement_with_adj_2", + "determiner_noun_agreement_with_adj_irregular_1", + "determiner_noun_agreement_with_adj_irregular_2", + "determiner_noun_agreement_with_adjective_1", + "distractor_agreement_relational_noun", + "distractor_agreement_relative_clause", + "drop_argument", + "ellipsis_n_bar_1", + "ellipsis_n_bar_2", + "existential_there_object_raising", + "existential_there_quantifiers_1", + "existential_there_quantifiers_2", + "existential_there_subject_raising", + "expletive_it_object_raising", + "inchoative", + "intransitive", + "irregular_past_participle_adjectives", + "irregular_past_participle_verbs", + "irregular_plural_subject_verb_agreement_1", + "irregular_plural_subject_verb_agreement_2", + "left_branch_island_echo_question", + "left_branch_island_simple_question", + "matrix_question_npi_licensor_present", + "npi_present_1", + "npi_present_2", + "only_npi_licensor_present", + "only_npi_scope", + "passive_1", + "passive_2", + "principle_A_c_command", + "principle_A_case_1", + "principle_A_case_2", + "principle_A_domain_1", + "principle_A_domain_2", + "principle_A_domain_3", + "principle_A_reconstruction", + "regular_plural_subject_verb_agreement_1", + "regular_plural_subject_verb_agreement_2", + "sentential_negation_npi_licensor_present", + "sentential_negation_npi_scope", + "sentential_subject_island", + "superlative_quantifiers_1", + "superlative_quantifiers_2", + "tough_vs_raising_1", + "tough_vs_raising_2", + "transitive", + "wh_island", + "wh_questions_object_gap", + "wh_questions_subject_gap", + "wh_questions_subject_gap_long_distance", + "wh_vs_that_no_gap", + "wh_vs_that_no_gap_long_distance", + "wh_vs_that_with_gap", + "wh_vs_that_with_gap_long_distance", + ] + + BUILDER_CONFIGS = [BlimpConfig(paradigm_uid=paradigm) for paradigm in all_paradigms] + + def _info(self): + return datasets.DatasetInfo( + description=_DESCRIPTION, + features=datasets.Features( + { + "sentence_good": datasets.Value("string"), + "sentence_bad": datasets.Value("string"), + "field": datasets.Value("string"), + "linguistics_term": datasets.Value("string"), + "UID": datasets.Value("string"), + "simple_LM_method": datasets.Value("bool"), + "one_prefix_method": datasets.Value("bool"), + "two_prefix_method": datasets.Value("bool"), + "lexically_identical": datasets.Value("bool"), + "pair_id": datasets.Value("int32"), + } + ), + supervised_keys=None, + # Homepage of the dataset for documentation + homepage=_PROJECT_URL, + citation=_CITATION, + ) + + def _split_generators(self, dl_manager): + """Returns SplitGenerators.""" + cfg = self.config + download_urls = {cfg.name: os.path.join(_DOWNLOAD_URL, "data", cfg.name + ".jsonl")} + + downloaded_files = dl_manager.download_and_extract(download_urls) + + return [ + datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files[cfg.name]}) + ] + + def _generate_examples(self, filepath): + """Yields examples.""" + with open(filepath, "rb") as f: + for line in f: + line_dict = json.loads(line) + id_ = line_dict["UID"] + "_" + line_dict["pairID"] + feats = { + "sentence_good": line_dict["sentence_good"], + "sentence_bad": line_dict["sentence_bad"], + "field": line_dict["field"], + "linguistics_term": line_dict["linguistics_term"], + "UID": line_dict["UID"], + "simple_LM_method": line_dict["simple_LM_method"], + "one_prefix_method": line_dict["one_prefix_method"], + "two_prefix_method": line_dict["two_prefix_method"], + "lexically_identical": line_dict["lexically_identical"], + "pair_id": int(line_dict["pairID"]), + } + yield id_, feats diff --git a/dataset_infos.json b/dataset_infos.json new file mode 100644 index 0000000000000000000000000000000000000000..fcf9b18cbf6b8965daf86211ed711e28ce3303d0 --- /dev/null +++ b/dataset_infos.json @@ -0,0 +1 @@ +{"adjunct_island": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. 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