Delete loading script

numeracy.py

@@ -1,67 +0,0 @@
-import datasets
-import os
-import json
-
-
-_CITATION = """
-
-"""
-
-_DESCRIPTION = """
-
-"""
-names = ["linear_example",
-"linear_standard",
-"parabola_example",
-"parabola_standard",
-"plane_example",
-"plane_standard",
-"paraboloid_example",
-"paraboloid_standard",
-]
-
-class Builder(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=name, version=datasets.Version("1.0.0"), description=_DESCRIPTION)
-            for name in names
-        ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "equation": datasets.Value("string"),
-                "vars": datasets.Sequence(datasets.Value("int64")),
-                "output": datasets.Value("int64"),
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage="",
-            license="",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        train_json = dl_manager.download(os.path.join(self.config.name, "train.jsonl"))
-        test_json = dl_manager.download(os.path.join(self.config.name, "test.jsonl"))
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"path": train_json},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"path": test_json},
-            ),
-        ]
-
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, path):
-        with open(path, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                yield key, json.loads(row)