first version of pauq

.gitattributes

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+formatted_pauq.zip filter=lfs diff=lfs merge=lfs -text

.gitignore

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+*.ipynb
+.idea/
+.ipynb_checkpoints/
+.DS_Store

README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+- machine-generated
+language:
+- en
+- ru
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+- multilingua;
+size_categories:
+- 1K<n<10K
+source_datasets:
+- spider
+task_categories:
+- text2text-generation
+task_ids: []
+pretty_name: Pauq
+tags:
+- text-to-sql
+dataset_info:
+  features:
+  - name: db_id
+    dtype: string
+  - name: query
+    dtype: string
+  - name: question
+    dtype: string
+  - name: query_toks
+    sequence: string
+  - name: query_toks_no_value
+    sequence: string
+  - name: question_toks
+    sequence: string
+  config_name: pauq
+  splits:
+  - name: train
+    num_bytes: 
+    num_examples: 
+  - name: validation
+    num_bytes: 
+    num_examples: 
+  download_size: 
+  dataset_size: 
+---
+
+# Dataset Card for Spider
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [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)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** 
+- **Repository:** 
+- **Paper:** 
+- **Point of Contact:** 
+
+### Dataset Summary
+
+
+### Supported Tasks and Leaderboards
+
+
+### Languages
+
+
+## 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
+
+[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
+
+#### 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]
+
+### Licensing Information
+
+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
+
+
+### Contributions

formatted_pauq.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:10a3c6adf4f65df322c855607fb1f10c5a94f3e5b441d4928d8f57288742efaf
+size 308248709

pauq.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.
+"""PAUQ: Text-to-SQL in Russian"""
+
+
+import json
+import os
+
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """\
+@inproceedings{bakshandaeva-etal-2022-pauq,
+    title = "{PAUQ}: Text-to-{SQL} in {R}ussian",
+    author = "Bakshandaeva, Daria  and
+      Somov, Oleg  and
+      Dmitrieva, Ekaterina  and
+      Davydova, Vera  and
+      Tutubalina, Elena",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.findings-emnlp.175",
+"""
+
+_DESCRIPTION = """\
+    Pauq is a first Russian text-to-SQL dataset translated from original Spider dataset 
+    with corrections and refinements of question, queries and databases.
+"""
+
+_LICENSE = "CC BY-SA 4.0"
+
+_URL = "https://huggingface.co/datasets/pauq/formatted_pauq.zip"
+
+
+class Pauq(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="ru_pauq_tl",
+            version=VERSION,
+            description=_DESCRIPTION,
+        ),
+        datasets.BuilderConfig(
+            name="en_pauq_tl",
+            version=VERSION,
+            description=_DESCRIPTION,
+        ),
+        datasets.BuilderConfig(
+            name="ru_pauq_iid",
+            version=VERSION,
+            description=_DESCRIPTION,
+        ),
+        datasets.BuilderConfig(
+            name="en_pauq_iid",
+            version=VERSION,
+            description=_DESCRIPTION,
+        ),
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "id": datasets.Value("string"),
+                "db_id": datasets.Value("string"),
+                "source": datasets.Value("string"),
+                "type": datasets.Value("string"),
+                "question": datasets.Value("string"),
+                "query": datasets.Value("string"),
+                "sql": datasets.features.Sequence(datasets.Value("string")),
+                "question_toks": datasets.features.Sequence(datasets.Value("string")),
+                "query_toks": datasets.features.Sequence(datasets.Value("string")),
+                "query_toks_no_value": datasets.features.Sequence(datasets.Value("string")),
+                "masked_query": 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, "splits/ru_iid_train.json"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "data_filepath": os.path.join(downloaded_filepath, "splits/ru_iid_test.json"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data_filepath": os.path.join(downloaded_filepath, "splits/ru_tl_train.json"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "data_filepath": os.path.join(downloaded_filepath, "splits/ru_tl_est.json"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data_filepath": os.path.join(downloaded_filepath, "splits/en_iid_train.json"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "data_filepath": os.path.join(downloaded_filepath, "splits/en_iid_test.json"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data_filepath": os.path.join(downloaded_filepath, "splits/en_tl_train.json"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "data_filepath": os.path.join(downloaded_filepath, "splits/en_tl_test.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:
+            pauq = json.load(f)
+            for idx, sample in enumerate(pauq):
+                yield idx, {
+                    "id": sample["id"],
+                    "db_id": sample["db_id"],
+                    "source": sample["source"],
+                    "type": sample["type"],
+                    "query": sample["query"],
+                    "sql": datasets.Value("string"),
+                    "question": sample["question"],
+                    "question_toks": sample["question_toks"],
+                    "query_toks": sample["query_toks"],
+                    "query_toks_no_value": sample["query_toks_no_value"],
+                    "masked_query": sample["masked_query"]
+                }