Upload tydiqa_id.py with huggingface_hub

tydiqa_id.py

@@ -0,0 +1,186 @@
+# coding=utf-8
+# Copyright 2022 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.
+
+from pathlib import Path
+from typing import List
+
+import datasets
+import json
+
+from nusacrowd.utils import schemas
+from nusacrowd.utils.configs import NusantaraConfig
+from nusacrowd.utils.constants import Tasks
+
+_CITATION = """\
+@article{clark-etal-2020-tydi,
+    title = "{T}y{D}i {QA}: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages",
+    author = "Clark, Jonathan H.  and
+      Choi, Eunsol  and
+      Collins, Michael  and
+      Garrette, Dan  and
+      Kwiatkowski, Tom  and
+      Nikolaev, Vitaly  and
+      Palomaki, Jennimaria",
+    journal = "Transactions of the Association for Computational Linguistics",
+    volume = "8",
+    year = "2020",
+    address = "Cambridge, MA",
+    publisher = "MIT Press",
+    url = "https://aclanthology.org/2020.tacl-1.30",
+    doi = "10.1162/tacl_a_00317",
+    pages = "454--470",
+}
+
+@inproceedings{cahyawijaya-etal-2021-indonlg,
+    title = "{I}ndo{NLG}: Benchmark and Resources for Evaluating {I}ndonesian Natural Language Generation",
+    author = "Cahyawijaya, Samuel  and
+      Winata, Genta Indra  and
+      Wilie, Bryan  and
+      Vincentio, Karissa  and
+      Li, Xiaohong  and
+      Kuncoro, Adhiguna  and
+      Ruder, Sebastian  and
+      Lim, Zhi Yuan  and
+      Bahar, Syafri  and
+      Khodra, Masayu  and
+      Purwarianti, Ayu  and
+      Fung, Pascale",
+    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
+    month = nov,
+    year = "2021",
+    address = "Online and Punta Cana, Dominican Republic",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.emnlp-main.699",
+    doi = "10.18653/v1/2021.emnlp-main.699",
+    pages = "8875--8898"
+}
+"""
+
+_LANGUAGES = ["ind"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+_LOCAL = False
+
+_DATASETNAME = "tydiqa_id"
+
+_DESCRIPTION = """\
+TyDiQA dataset is collected from Wikipedia articles with human-annotated question and answer pairs covering 11 languages. 
+The question-answer pairs are collected for each language without using translation services.
+IndoNLG uses the Indonesian data from the secondary Gold passage task of the original TyDiQA dataset and
+randomly split off 15% of the training data and use it as the test set.
+"""
+
+_HOMEPAGE = "https://github.com/IndoNLP/indonlg"
+
+_LICENSE = "Creative Common Attribution Share-Alike 4.0 International"
+
+# For publicly available datasets you will most likely end up passing these URLs to dl_manager in _split_generators.
+# In most cases the URLs will be the same for the source and nusantara config.
+# However, if you need to access different files for each config you can have multiple entries in this dict.
+# This can be an arbitrarily nested dict/list of URLs (see below in `_split_generators` method)
+_URLS = {
+    _DATASETNAME: "https://storage.googleapis.com/babert-pretraining/IndoNLG_finals/downstream_task/downstream_task_datasets.zip"
+}
+
+_SUPPORTED_TASKS = [Tasks.QUESTION_ANSWERING]
+
+_SOURCE_VERSION = "1.0.0"
+
+_NUSANTARA_VERSION = "1.0.0"
+
+
+class TyDiQAIdDataset(datasets.GeneratorBasedBuilder):
+    SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
+    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+
+    BUILDER_CONFIGS = [
+        NusantaraConfig(
+            name="tydiqa_id_source",
+            version=SOURCE_VERSION,
+            description="TyDiQA Id source schema",
+            schema="source",
+            subset_id="tydiqa_id",
+        ),
+        NusantaraConfig(
+            name="tydiqa_id_nusantara_qa",
+            version=NUSANTARA_VERSION,
+            description="TyDiQA Id Nusantara schema",
+            schema="nusantara_qa",
+            subset_id="tydiqa_id",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "tydiqa_id_source"
+
+    def _info(self) -> datasets.DatasetInfo:
+
+        if self.config.schema == "source":
+            features = datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "context": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "label": datasets.Value("string")
+                }
+            )
+        elif self.config.schema == "nusantara_qa":
+            features = schemas.qa_features
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        url = _URLS[_DATASETNAME]
+        base_path = Path(dl_manager.download_and_extract(url))
+        train_data_path = base_path / "IndoNLG_downstream_tasks" / "question_answering" / "train_preprocess.json"
+        valid_data_path = base_path / "IndoNLG_downstream_tasks" / "question_answering" / "valid_preprocess.json"
+        test_data_path = base_path / "IndoNLG_downstream_tasks" / "question_answering" / "test_preprocess.json"
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": train_data_path},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": valid_data_path},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": test_data_path},
+            )
+        ]
+
+    def _generate_examples(self, filepath: Path):
+        if self.config.schema == "source":
+            for example in json.load(open(filepath, 'r')):
+                yield example["id"], example
+        elif self.config.schema == "nusantara_qa":
+            for example in json.load(open(filepath, 'r')):
+                yield example["id"], {
+                    "id": example['id'],
+                    "question_id": example['id'],
+                    "document_id": example['id'],
+                    "question": example['question'],
+                    "type": 'abstractive',
+                    "choices": [],
+                    "context": example['context'],
+                    "answer": [example['label']]
+                }
+        else:
+            raise ValueError(f"Invalid config: {self.config.name}")