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DBLP-QuAD.py

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-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# 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.
-
-# Lint as: python3
-"""DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph."""
-
-
-import json
-import os
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """
-    @article{DBLP-QuAD,
-        title={DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph},
-        author={Banerjee, Debayan and Awale, Sushil and Usbeck, Ricardo and Biemann, Chris},
-        year={2023}
-"""
-
-_DESCRIPTION = """\
-    DBLP-QuAD is a scholarly knowledge graph question answering dataset with \
-    10,000 question - SPARQL query pairs targeting the DBLP knowledge graph. \
-    The dataset is split into 7,000 training, 1,000 validation and 2,000 test \
-    questions.
-"""
-
-_URL = "https://zenodo.org/record/7554379/files/DBLP-QuAD.zip"
-
-
-class DBLPQuAD(datasets.GeneratorBasedBuilder):
-    """
-        DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph.
-        Version 1.0.0
-    """
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        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"),
-                    "query_type": datasets.Value("string"),
-                    "question": datasets.dataset_dict.DatasetDict({
-                        "string": datasets.Value("string")
-                    }),
-                    "paraphrased_question": datasets.dataset_dict.DatasetDict({
-                        "string": datasets.Value("string")
-                    }),
-                    "query": datasets.dataset_dict.DatasetDict({
-                        "sparql": datasets.Value("string")
-                    }),
-                    "template_id": datasets.Value("string"),
-                    "entities": datasets.features.Sequence(datasets.Value("string")),
-                    "relations": datasets.features.Sequence(datasets.Value("string")),
-                    "temporal": datasets.Value("bool"),
-                    "held_out": datasets.Value("bool")
-                }
-            ),
-            supervised_keys=None,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        dl_dir = dl_manager.download_and_extract(_URL)
-        dl_dir = os.path.join(dl_dir, "DBLP-QuAD")
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": os.path.join(dl_dir, "train", "questions.json")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": os.path.join(dl_dir, "valid", "questions.json")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": os.path.join(dl_dir, "test", "questions.json")},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-
-        with open(filepath, encoding="utf-8") as f:
-            data = json.load(f)["questions"]
-            for id_, row in enumerate(data):
-                yield id_, {
-                    "id": row["id"],
-                    "query_type": row["query_type"],
-                    "question": row["question"],
-                    "paraphrased_question": row["paraphrased_question"],
-                    "query": row["query"],
-                    "template_id": row["template_id"],
-                    "entities": row["entities"],
-                    "relations": row["relations"],
-                    "temporal": row["temporal"],
-                    "held_out": row["held_out"]
-                }

README.md

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----
-annotations_creators:
-- expert-generated
-language:
-- en
-language_creators:
-- machine-generated
-license:
-- cc-by-4.0
-multilinguality:
-- monolingual
-pretty_name: 'DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph'
-size_categories:
-- 1K<n<10K
-source_datasets:
-- original
-tags:
-- knowledge-base-qa
-task_categories:
-- question-answering
-task_ids: []
----
-
-# Dataset Card for DBLP-QuAD
-
-## 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:** [DBLP-QuAD Homepage]()
-- **Repository:** [DBLP-QuAD Repository](https://github.com/awalesushil/DBLP-QuAD)
-- **Paper:** DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph
-- **Point of Contact:** [Sushil Awale](mailto:sushil.awale@web.de)
-
-### Dataset Summary
-
-DBLP-QuAD is a scholarly knowledge graph question answering dataset with 10,000 question - SPARQL query pairs targeting the DBLP knowledge graph. The dataset is split into 7,000 training, 1,000 validation and 2,000 test questions.
-
-## Dataset Structure
-
-### Data Instances
-
-An example of a question is given below:
-
-```
-{
-    "id": "Q0577",
-    "query_type": "MULTI_FACT",
-    "question": {
-        "string": "What are the primary affiliations of the authors of the paper 'Graphical Partitions and Graphical Relations'?"
-    },
-    "paraphrased_question": {
-        "string": "List the primary affiliations of the authors of 'Graphical Partitions and Graphical Relations'."
-    },
-    "query": {
-        "sparql": "SELECT DISTINCT ?answer WHERE { <https://dblp.org/rec/journals/fuin/ShaheenS19> <https://dblp.org/rdf/schema#authoredBy> ?x . ?x <https://dblp.org/rdf/schema#primaryAffiliation> ?answer }"
-    },
-    "template_id": "TP11",
-    "entities": [
-        "<https://dblp.org/rec/journals/fuin/ShaheenS19>"
-    ],
-    "relations": [
-        "<https://dblp.org/rdf/schema#authoredBy>",
-        "<https://dblp.org/rdf/schema#primaryAffiliation>"
-    ],
-    "temporal": false,
-    "held_out": true
-}
-
-```
-### Data Fields
-
-- `id`: the id of the question
-- `question`: a string containing the question
-- `paraphrased_question`: a paraphrased version of the question
-- `query`: a SPARQL query that answers the question
-- `query_type`: the type of the query
-- `query_template`: the template of the query
-- `entities`: a list of entities in the question
-- `relations`: a list of relations in the question
-- `temporal`: a boolean indicating whether the question contains a temporal expression
-- `held_out`: a boolean indicating whether the question is held out from the training set
-
-### Data Splits
-
-The dataset is split into 7,000 training, 1,000 validation and 2,000 test questions.
-
-## Additional Information
-
-### Licensing Information
-
-DBLP-QuAD is licensed under the [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).
-
-### Citation Information
-
-In review.
-
-### Contributions
-
-Thanks to [@awalesushil](https://github.com/awalesushil) for adding this dataset.

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