Delete loading script

spider.py

@@ -1,109 +0,0 @@
-# coding=utf-8
-# 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.
-"""Spider: A Large-Scale Human-Labeled Dataset for Text-to-SQL Tasks"""
-
-
-import json
-import os
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@article{yu2018spider,
-  title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task},
-  author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others},
-  journal={arXiv preprint arXiv:1809.08887},
-  year={2018}
-}
-"""
-
-_DESCRIPTION = """\
-Spider is a large-scale complex and cross-domain semantic parsing and text-toSQL dataset annotated by 11 college students
-"""
-
-_HOMEPAGE = "https://yale-lily.github.io/spider"
-
-_LICENSE = "CC BY-SA 4.0"
-
-_URL = "https://huggingface.co/datasets/spider/resolve/main/data/spider.zip"
-
-
-class Spider(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="spider",
-            version=VERSION,
-            description="Spider: A Large-Scale Human-Labeled Dataset for Text-to-SQL Tasks",
-        ),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "db_id": datasets.Value("string"),
-                "query": datasets.Value("string"),
-                "question": datasets.Value("string"),
-                "query_toks": datasets.features.Sequence(datasets.Value("string")),
-                "query_toks_no_value": datasets.features.Sequence(datasets.Value("string")),
-                "question_toks": datasets.features.Sequence(datasets.Value("string")),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        downloaded_filepath = dl_manager.download_and_extract(_URL)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "spider/train_spider.json"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "data_filepath": os.path.join(downloaded_filepath, "spider/dev.json"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, data_filepath):
-        """This function returns the examples in the raw (text) form."""
-        logger.info("generating examples from = %s", data_filepath)
-        with open(data_filepath, encoding="utf-8") as f:
-            spider = json.load(f)
-            for idx, sample in enumerate(spider):
-                yield idx, {
-                    "db_id": sample["db_id"],
-                    "query": sample["query"],
-                    "question": sample["question"],
-                    "query_toks": sample["query_toks"],
-                    "query_toks_no_value": sample["query_toks_no_value"],
-                    "question_toks": sample["question_toks"],
-                }