Update parquet files

.gitattributes

@@ -1,39 +0,0 @@
-*.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
-*.wasm 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
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
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-*.mp3 filter=lfs diff=lfs merge=lfs -text
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ROLE/test.csv → CPRAG/psycholinguistic_eval-test.parquet

@@ -1,3 +1,3 @@
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CPRAG/test.csv → NEG-NAT/psycholinguistic_eval-test.parquet

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NEG-NAT/test.csv → NEG-SIMP/psycholinguistic_eval-test.parquet

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README.md

@@ -1,24 +0,0 @@
----
-annotations_creators:
-- expert-generated
-language_creators:
-- expert-generated
-language:
-- en-US
-license:
-- mit
-multilinguality:
-- monolingual
-pretty_name: psycholinguistic_eval
-size_categories:
-- n<1K
-source_datasets: []
-task_categories:
-- multiple-choice
-- fill-mask
-- question-answering
-- zero-shot-classification
-task_ids: []
----
-
-This is a suite of psycholinguistic datasets by Allyson Ettinger. See her [official Github repository](https://github.com/aetting/lm-diagnostics) for specific details.

NEG-SIMP/test.csv → ROLE/psycholinguistic_eval-test.parquet

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dataset_infos.json

@@ -1 +0,0 @@
-{"CPRAG": {"description": "Psycholinguistic dataset from 'What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models'\nby Allyson Ettinger\n", "citation": "@article{ettinger2020bert,\n  title={What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models},\n  author={Ettinger, Allyson},\n  journal={Transactions of the Association for Computational Linguistics},\n  volume={8},\n  pages={34--48},\n  year={2020},\n  publisher={MIT Press}\n}\n", "homepage": "https://github.com/aetting/lm-diagnostics", "license": "MIT License\n\nCopyright (c) 2020 Allyson Ettinger\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n", "features": {"context_s1": {"dtype": "string", "id": null, "_type": "Value"}, "context_s2": {"dtype": "string", "id": null, "_type": "Value"}, "expected": {"dtype": "string", "id": null, "_type": "Value"}, "within_category": {"dtype": "string", "id": null, "_type": "Value"}, "between_category": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "psycholinguistic_eval_dataset", "config_name": "CPRAG", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 5202, "num_examples": 34, "dataset_name": "psycholinguistic_eval_dataset"}}, "download_checksums": {"https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/CPRAG/test.csv": {"num_bytes": 4875, "checksum": "17e185c8abcc3b6ea0f28485e43334608cd50105c51f18e93ffa2d5d935b37a9"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/ROLE/test.csv": {"num_bytes": 8668, "checksum": "6c23629624cb61044210439586f9fe4514f3baef2fa256f580e44cb981de0649"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/NEG-NAT/test.csv": {"num_bytes": 1450, "checksum": "5f3efad556ade6d624d612314e60b522d34ffd901a5911cdeb1f1563b6bb4e06"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/NEG-SIMP/test.csv": {"num_bytes": 996, "checksum": "b756a3d8c2bd4e919986e38b3e64f85b10aabc06c967b59eb098821a584dfc28"}}, "download_size": 15989, "post_processing_size": null, "dataset_size": 5202, "size_in_bytes": 21191}, "ROLE": {"description": "Psycholinguistic dataset from 'What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models'\nby Allyson Ettinger\n", "citation": "@article{ettinger2020bert,\n  title={What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models},\n  author={Ettinger, Allyson},\n  journal={Transactions of the Association for Computational Linguistics},\n  volume={8},\n  pages={34--48},\n  year={2020},\n  publisher={MIT Press}\n}\n", "homepage": "https://github.com/aetting/lm-diagnostics", "license": "MIT License\n\nCopyright (c) 2020 Allyson Ettinger\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n", "features": {"context": {"dtype": "string", "id": null, "_type": "Value"}, "expected": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "psycholinguistic_eval_dataset", "config_name": "ROLE", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 6290, "num_examples": 88, "dataset_name": "psycholinguistic_eval_dataset"}}, "download_checksums": {"https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/CPRAG/test.csv": {"num_bytes": 4875, "checksum": "17e185c8abcc3b6ea0f28485e43334608cd50105c51f18e93ffa2d5d935b37a9"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/ROLE/test.csv": {"num_bytes": 8668, "checksum": "6c23629624cb61044210439586f9fe4514f3baef2fa256f580e44cb981de0649"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/NEG-NAT/test.csv": {"num_bytes": 1450, "checksum": "5f3efad556ade6d624d612314e60b522d34ffd901a5911cdeb1f1563b6bb4e06"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/NEG-SIMP/test.csv": {"num_bytes": 996, "checksum": "b756a3d8c2bd4e919986e38b3e64f85b10aabc06c967b59eb098821a584dfc28"}}, "download_size": 15989, "post_processing_size": null, "dataset_size": 6290, "size_in_bytes": 22279}, "NEG-NAT": {"description": "Psycholinguistic dataset from 'What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models'\nby Allyson Ettinger\n", "citation": "@article{ettinger2020bert,\n  title={What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models},\n  author={Ettinger, Allyson},\n  journal={Transactions of the Association for Computational Linguistics},\n  volume={8},\n  pages={34--48},\n  year={2020},\n  publisher={MIT Press}\n}\n", "homepage": "https://github.com/aetting/lm-diagnostics", "license": "MIT License\n\nCopyright (c) 2020 Allyson Ettinger\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n", "features": {"context_aff": {"dtype": "string", "id": null, "_type": "Value"}, "context_neg": {"dtype": "string", "id": null, "_type": "Value"}, "target_aff": {"dtype": "string", "id": null, "_type": "Value"}, "target_neg": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "psycholinguistic_eval_dataset", "config_name": "NEG-NAT", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1546, "num_examples": 16, "dataset_name": "psycholinguistic_eval_dataset"}}, "download_checksums": {"https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/CPRAG/test.csv": {"num_bytes": 4875, "checksum": "17e185c8abcc3b6ea0f28485e43334608cd50105c51f18e93ffa2d5d935b37a9"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/ROLE/test.csv": {"num_bytes": 8668, "checksum": "6c23629624cb61044210439586f9fe4514f3baef2fa256f580e44cb981de0649"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/NEG-NAT/test.csv": {"num_bytes": 1450, "checksum": "5f3efad556ade6d624d612314e60b522d34ffd901a5911cdeb1f1563b6bb4e06"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/NEG-SIMP/test.csv": {"num_bytes": 996, "checksum": "b756a3d8c2bd4e919986e38b3e64f85b10aabc06c967b59eb098821a584dfc28"}}, "download_size": 15989, "post_processing_size": null, "dataset_size": 1546, "size_in_bytes": 17535}, "NEG-SIMP": {"description": "Psycholinguistic dataset from 'What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models'\nby Allyson Ettinger\n", "citation": "@article{ettinger2020bert,\n  title={What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models},\n  author={Ettinger, Allyson},\n  journal={Transactions of the Association for Computational Linguistics},\n  volume={8},\n  pages={34--48},\n  year={2020},\n  publisher={MIT Press}\n}\n", "homepage": "https://github.com/aetting/lm-diagnostics", "license": "MIT License\n\nCopyright (c) 2020 Allyson Ettinger\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n", "features": {"context_aff": {"dtype": "string", "id": null, "_type": "Value"}, "context_neg": {"dtype": "string", "id": null, "_type": "Value"}, "target_aff": {"dtype": "string", "id": null, "_type": "Value"}, "target_neg": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "psycholinguistic_eval_dataset", "config_name": "NEG-SIMP", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1166, "num_examples": 18, "dataset_name": "psycholinguistic_eval_dataset"}}, "download_checksums": {"https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/CPRAG/test.csv": {"num_bytes": 4875, "checksum": "17e185c8abcc3b6ea0f28485e43334608cd50105c51f18e93ffa2d5d935b37a9"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/ROLE/test.csv": {"num_bytes": 8668, "checksum": "6c23629624cb61044210439586f9fe4514f3baef2fa256f580e44cb981de0649"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/NEG-NAT/test.csv": {"num_bytes": 1450, "checksum": "5f3efad556ade6d624d612314e60b522d34ffd901a5911cdeb1f1563b6bb4e06"}, "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/NEG-SIMP/test.csv": {"num_bytes": 996, "checksum": "b756a3d8c2bd4e919986e38b3e64f85b10aabc06c967b59eb098821a584dfc28"}}, "download_size": 15989, "post_processing_size": null, "dataset_size": 1166, "size_in_bytes": 17155}}

psycholinguistic_eval.py

@@ -1,211 +0,0 @@
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# 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.
-# TODO: Address all TODOs and remove all explanatory comments
-"""TODO: Add a description here."""
-
-
-import datasets
-import pandas as pd
-
-
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-@article{ettinger2020bert,
-  title={What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models},
-  author={Ettinger, Allyson},
-  journal={Transactions of the Association for Computational Linguistics},
-  volume={8},
-  pages={34--48},
-  year={2020},
-  publisher={MIT Press}
-}
-"""
-
-# You can copy an official description
-_DESCRIPTION = """\
-Psycholinguistic dataset from 'What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models'
-by Allyson Ettinger
-"""
-
-_HOMEPAGE = "https://github.com/aetting/lm-diagnostics"
-
-_LICENSE = """MIT License
-
-Copyright (c) 2020 Allyson Ettinger
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-"""
-
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_URL = "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/"
-_URLS = {
-    "CPRAG": _URL + "CPRAG/test.csv",
-    "ROLE": _URL + "ROLE/test.csv",
-    "NEG-NAT": _URL + "NEG-NAT/test.csv",
-    "NEG-SIMP": _URL + "NEG-SIMP/test.csv",
-}
-
-# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
-class PsycholinguisticEvalDataset(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    # This is an example of a dataset with multiple configurations.
-    # If you don't want/need to define several sub-sets in your dataset,
-    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
-
-    # If you need to make complex sub-parts in the datasets with configurable options
-    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
-    # BUILDER_CONFIG_CLASS = MyBuilderConfig
-
-    # You will be able to load one or the other configurations in the following list with
-    # data = datasets.load_dataset('my_dataset', 'first_domain')
-    # data = datasets.load_dataset('my_dataset', 'second_domain')
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="CPRAG", version=VERSION, description="34 questions evaluating commonsense knowledge"),
-        datasets.BuilderConfig(name="ROLE", version=VERSION, description="88 questions evaluating event knowledge and semantic roles"),
-        datasets.BuilderConfig(name="NEG-NAT", version=VERSION, description="[NEG-NAT description]"),
-        datasets.BuilderConfig(name="NEG-SIMP", version=VERSION, description="[NEG-SIMP description]"),
-    ]
-
-    def _info(self):
-        # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
-        if self.config.name == "CPRAG":  # This is the name of the configuration selected in BUILDER_CONFIGS above
-            features = datasets.Features(
-                {
-                    "context_s1": datasets.Value("string"),
-                    "context_s2": datasets.Value("string"),
-                    "expected": datasets.Value("string"),
-                    "within_category": datasets.Value("string"),
-                    "between_category": datasets.Value("string"),
-                }
-            )
-        elif self.config.name == "ROLE":
-            features = datasets.Features(
-                {
-                    "context": datasets.Value("string"),
-                    "expected": datasets.Value("string"),
-                }
-            )
-        elif self.config.name == "NEG-NAT":
-            features = datasets.Features(
-                {
-                    "context_aff": datasets.Value("string"),
-                    "context_neg": datasets.Value("string"),
-                    "target_aff": datasets.Value("string"),
-                    "target_neg": datasets.Value("string"),
-                }
-            )
-        elif self.config.name == "NEG-SIMP":
-            features = datasets.Features(
-                {
-                    "context_aff": datasets.Value("string"),
-                    "context_neg": datasets.Value("string"),
-                    "target_aff": datasets.Value("string"),
-                    "target_neg": datasets.Value("string"),
-                }
-            )
-        else:
-            raise NotImplementedError
-
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
-            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
-            # supervised_keys=("sentence", "label"),
-            # Homepage of the dataset for documentation
-            homepage=_HOMEPAGE,
-            # License for the dataset if available
-            license=_LICENSE,
-            # Citation for the dataset
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
-        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
-
-        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
-        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
-        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-
-        downloaded_files = dl_manager.download_and_extract(_URLS)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": downloaded_files[self.config.name],
-                    "split": "test"
-                },
-            ),
-        ]
-
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, filepath, split):
-        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        df = pd.read_csv(filepath)
-        for index, row in df.iterrows():
-            if self.config.name == "CPRAG":
-                # Yields examples as (key, example) tuples
-                yield index, {
-                    "context_s1": row["context_s1"],
-                    "context_s2": row["context_s2"],
-                    "expected": row["expected"],
-                    "within_category": row["within_category"],
-                    "between_category": row["between_category"],
-                }
-            elif self.config.name == "ROLE":
-                yield index, {
-                    "context": row["context"],
-                    "expected": row["expected"],
-                }
-            elif self.config.name == "NEG-NAT":
-                yield index, {
-                    "context_aff": row["context_aff"],
-                    "context_neg": row["context_neg"],
-                    "target_aff": row["target_aff"],
-                    "target_neg": row["target_neg"],
-                }
-            elif self.config.name == "NEG-SIMP":
-                yield index, {
-                    "context_aff": row["context_aff"],
-                    "context_neg": row["context_neg"],
-                    "target_aff": row["target_aff"],
-                    "target_neg": row["target_neg"],
-                }
-            else:
-                raise NotImplementedError