Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+- machine-generated
+languages:
+- en
+licenses:
+- cc-by-4-0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- conditional-text-generation-other-stuctured-to-text
+---
+
+
+# Dataset Card for [spider]
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** https://yale-lily.github.io/spider
+- **Repository:** https://github.com/taoyds/spider
+- **Paper:** https://www.aclweb.org/anthology/D18-1425/
+- **Point of Contact:** [Yale LILY](https://yale-lily.github.io/)
+
+### Dataset Summary
+
+Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students
+The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases
+
+### Supported Tasks and Leaderboards
+
+The leaderboard can be seen at https://yale-lily.github.io/spider
+
+### Languages
+
+The text in the dataset is in English.
+
+## Dataset Structure
+
+### Data Instances
+
+**What do the instances that comprise the dataset represent?**
+
+Each instance is natural language question and the equivalent SQL query
+
+**How many instances are there in total?**
+
+**What data does each instance consist of?**
+
+[More Information Needed]
+
+### Data Fields
+
+* **db_id**: Database name
+* **question**: Natural language to interpret into SQL
+* **query**: Target SQL query
+* **query_toks**: List of tokens for the query
+* **query_toks_no_value**: List of tokens for the query
+* **question_toks**: List of tokens for the question
+
+### Data Splits
+
+**train**: 7000 questions and SQL query pairs
+**dev**: 1034 question and SQL query pairs
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+The dataset was annotated by 11 college students at Yale University
+
+#### Annotation process
+
+#### Who are the annotators?
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+## Additional Information
+
+The listed authors in the homepage are maintaining/supporting the dataset. 
+
+### Dataset Curators
+
+[More Information Needed]
+
+The spider dataset is licensed under 
+the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode)
+
+[More Information Needed]
+
+### Citation Information
+
+```
+@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}
+}
+```

dataset_infos.json

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+{"spider": {"description": "Spider is a large-scale complex and cross-domain semantic parsing and text-toSQL dataset annotated by 11 college students\n", "citation": "@article{yu2018spider,\n  title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task},\n  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},\n  journal={arXiv preprint arXiv:1809.08887},\n  year={2018}\n}\n", "homepage": "https://yale-lily.github.io/spider", "license": "CC BY-SA 4.0", "features": {"db_id": {"dtype": "string", "id": null, "_type": "Value"}, "query": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "query_toks": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "query_toks_no_value": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "question_toks": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "spider", "config_name": "spider", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4743822, "num_examples": 7000, "dataset_name": "spider"}, "validation": {"name": "validation", "num_bytes": 682126, "num_examples": 1034, "dataset_name": "spider"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1_AckYkinAnhqmRQtGsQgUKAnTHxxX5J0": {"num_bytes": 99736136, "checksum": "5ddff97bb1d421282c593e8d30ce0ce107270f4dd4a21d60eba4bf287d5956b1"}}, "download_size": 99736136, "post_processing_size": null, "dataset_size": 5425948, "size_in_bytes": 105162084}}

dummy/spider/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:95b2b5441be8b0ba21e6534b264c15e42130114ce2d65d790f2068f36ecf64f1
+size 2518

spider.py

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+# 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"""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import logging
+
+import datasets
+
+
+_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://drive.google.com/uc?export=download&id=1_AckYkinAnhqmRQtGsQgUKAnTHxxX5J0"
+
+
+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": downloaded_filepath + "/spider/train_spider.json",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "data_filepath": downloaded_filepath + "/spider/dev.json",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, data_filepath):
+        """This function returns the examples in the raw (text) form."""
+        logging.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"],
+                }