Delete loading script

blimp.py

@@ -1,182 +0,0 @@
-# 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."""
-
-
-import json
-
-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, name, version=datasets.Version("0.1.0"), **kwargs):
-        """BuilderConfig for Blimp.
-
-        Args:
-          name (str): UID of the linguistic paradigm
-          **kwargs: keyword arguments forwarded to super.
-        """
-        description = _DESCRIPTION
-        description += f"This configuration includes the paradigm {name}."
-
-        super().__init__(name=name, description=description, version=version, **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) 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"),
-                }
-            ),
-            homepage=_PROJECT_URL,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        download_urls = _DOWNLOAD_URL + f"data/{self.config.name}.jsonl"
-        downloaded_file = dl_manager.download_and_extract(download_urls)
-        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file})]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        with open(filepath, "r", encoding="utf-8") 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