Delete loading script

ai2_arc.py

@@ -1,132 +0,0 @@
-"""TODO(arc): Add a description here."""
-
-
-import json
-import os
-
-import datasets
-
-
-# TODO(ai2_arc): BibTeX citation
-_CITATION = """\
-@article{allenai:arc,
-      author    = {Peter Clark  and Isaac Cowhey and Oren Etzioni and Tushar Khot and
-                    Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},
-      title     = {Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},
-      journal   = {arXiv:1803.05457v1},
-      year      = {2018},
-}
-"""
-
-# TODO(ai2_arc):
-_DESCRIPTION = """\
-A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
- advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
- only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
- including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.
-"""
-
-_URL = "https://s3-us-west-2.amazonaws.com/ai2-website/data/ARC-V1-Feb2018.zip"
-
-
-class Ai2ArcConfig(datasets.BuilderConfig):
-    """BuilderConfig for Ai2ARC."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for Ai2Arc.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(Ai2ArcConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-
-
-class Ai2Arc(datasets.GeneratorBasedBuilder):
-    """TODO(arc): Short description of my dataset."""
-
-    # TODO(arc): Set up version.
-    VERSION = datasets.Version("1.0.0")
-    BUILDER_CONFIGS = [
-        Ai2ArcConfig(
-            name="ARC-Challenge",
-            description="""\
-          Challenge Set of 2590 “hard” questions (those that both a retrieval and a co-occurrence method fail to answer correctly)
-          """,
-        ),
-        Ai2ArcConfig(
-            name="ARC-Easy",
-            description="""\
-          Easy Set of 5197 questions
-          """,
-        ),
-    ]
-
-    def _info(self):
-        # TODO(ai2_arc): Specifies the datasets.DatasetInfo object
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "choices": datasets.features.Sequence(
-                        {"text": datasets.Value("string"), "label": datasets.Value("string")}
-                    ),
-                    "answerKey": datasets.Value("string")
-                    # These are the features of your dataset like images, labels ...
-                }
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="https://allenai.org/data/arc",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(ai2_arc): Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        dl_dir = dl_manager.download_and_extract(_URL)
-        data_dir = os.path.join(dl_dir, "ARC-V1-Feb2018-2")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(data_dir, self.config.name, self.config.name + "-Train.jsonl")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(data_dir, self.config.name, self.config.name + "-Test.jsonl")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(data_dir, self.config.name, self.config.name + "-Dev.jsonl")},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        # TODO(ai2_arc): Yields (key, example) tuples from the dataset
-        with open(filepath, encoding="utf-8") as f:
-            for row in f:
-                data = json.loads(row)
-                answerkey = data["answerKey"]
-                id_ = data["id"]
-                question = data["question"]["stem"]
-                choices = data["question"]["choices"]
-                text_choices = [choice["text"] for choice in choices]
-                label_choices = [choice["label"] for choice in choices]
-                yield id_, {
-                    "id": id_,
-                    "answerKey": answerkey,
-                    "question": question,
-                    "choices": {"text": text_choices, "label": label_choices},
-                }