Delete loading script

americas_nli.py

@@ -1,177 +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
-"""AmericasNLI: A NLI Corpus of 10 Indigenous Low-Resource Languages."""
-
-
-import csv
-
-import datasets
-
-
-_CITATION = """
-@article{DBLP:journals/corr/abs-2104-08726,
-  author    = {Abteen Ebrahimi and
-               Manuel Mager and
-               Arturo Oncevay and
-               Vishrav Chaudhary and
-               Luis Chiruzzo and
-               Angela Fan and
-               John Ortega and
-               Ricardo Ramos and
-               Annette Rios and
-               Ivan Vladimir and
-               Gustavo A. Gim{\'{e}}nez{-}Lugo and
-               Elisabeth Mager and
-               Graham Neubig and
-               Alexis Palmer and
-               Rolando A. Coto Solano and
-               Ngoc Thang Vu and
-               Katharina Kann},
-  title     = {AmericasNLI: Evaluating Zero-shot Natural Language Understanding of
-               Pretrained Multilingual Models in Truly Low-resource Languages},
-  journal   = {CoRR},
-  volume    = {abs/2104.08726},
-  year      = {2021},
-  url       = {https://arxiv.org/abs/2104.08726},
-  eprinttype = {arXiv},
-  eprint    = {2104.08726},
-  timestamp = {Mon, 26 Apr 2021 17:25:10 +0200},
-  biburl    = {https://dblp.org/rec/journals/corr/abs-2104-08726.bib},
-  bibsource = {dblp computer science bibliography, https://dblp.org}
-}
-"""
-
-_DESCRIPTION = """\
-AmericasNLI is an extension of XNLI (Conneau et al., 2018) – a natural language inference (NLI) dataset covering 15 high-resource languages – to 10 low-resource indigenous languages spoken in the Americas: Ashaninka, Aymara, Bribri, Guarani, Nahuatl, Otomi, Quechua, Raramuri, Shipibo-Konibo, and Wixarika. As with MNLI, the goal is to predict textual entailment (does sentence A imply/contradict/neither sentence B) and is a classification task (given two sentences, predict one of three labels).
-"""
-
-VERSION = datasets.Version("1.0.0", "")
-_DEV_DATA_URL = "https://raw.githubusercontent.com/nala-cub/AmericasNLI/main/dev.tsv"
-_TEST_DATA_URL = "https://raw.githubusercontent.com/nala-cub/AmericasNLI/main/test.tsv"
-
-_LANGUAGES = ("aym", "bzd", "cni", "gn", "hch", "nah", "oto", "quy", "shp", "tar")
-
-
-class AmericasNLIConfig(datasets.BuilderConfig):
-    """BuilderConfig for AmericasNLI."""
-
-    def __init__(self, language: str, languages=None, **kwargs):
-        """BuilderConfig for AmericasNLI.
-
-        Args:
-        language: One of aym, bzd, cni, gn, hch, nah, oto, quy, shp, tar or all_languages
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(AmericasNLIConfig, self).__init__(**kwargs)
-        self.language = language
-        if language != "all_languages":
-            self.languages = [language]
-        else:
-            self.languages = languages if languages is not None else _LANGUAGES
-
-
-class AmericasNLI(datasets.GeneratorBasedBuilder):
-    """TODO"""
-
-    VERSION = VERSION
-    BUILDER_CONFIG_CLASS = AmericasNLIConfig
-    BUILDER_CONFIGS = [
-        AmericasNLIConfig(
-            name=lang,
-            language=lang,
-            version=VERSION,
-            description=f"Plain text import of AmericasNLI for the {lang} language",
-        )
-        for lang in _LANGUAGES
-    ] + [
-        AmericasNLIConfig(
-            name="all_languages",
-            language="all_languages",
-            version=VERSION,
-            description="Plain text import of AmericasNLI for all languages",
-        )
-    ]
-
-    def _info(self):
-        if self.config.language == "all_languages":
-            features = datasets.Features(
-                {
-                    "language": datasets.Value("string"),
-                    "premise": datasets.Value("string"),
-                    "hypothesis": datasets.Value("string"),
-                    "label": datasets.ClassLabel(names=["entailment", "neutral", "contradiction"]),
-                }
-            )
-        else:
-            features = datasets.Features(
-                {
-                    "premise": datasets.Value("string"),
-                    "hypothesis": datasets.Value("string"),
-                    "label": datasets.ClassLabel(names=["entailment", "neutral", "contradiction"]),
-                }
-            )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            # No default supervised_keys (as we have to pass both premise
-            # and hypothesis as input).
-            supervised_keys=None,
-            homepage="https://github.com/nala-cub/AmericasNLI",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        dl_paths = dl_manager.download(
-            {
-                "dev_data": _DEV_DATA_URL,
-                "test_data": _TEST_DATA_URL,
-            }
-        )
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": dl_paths["dev_data"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": dl_paths["test_data"],
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath: str):
-        """This function returns the examples in the raw (text) form."""
-        idx = 0
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
-            for row in reader:
-                if row["language"] == self.config.language:
-                    yield idx, {
-                        "premise": row["premise"],
-                        "hypothesis": row["hypothesis"],
-                        "label": row["label"],
-                    }
-                    idx += 1
-                elif self.config.language == "all_languages":
-                    yield idx, {
-                        "language": row["language"],
-                        "premise": row["premise"],
-                        "hypothesis": row["hypothesis"],
-                        "label": row["label"],
-                    }
-                    idx += 1