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id_frog_story.py

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+import os
+from pathlib import Path
+from typing import List
+
+import datasets
+
+from nusacrowd.utils import schemas
+from nusacrowd.utils.configs import NusantaraConfig
+from nusacrowd.utils.constants import Tasks
+
+_CITATION = """\
+@article{FrogStorytelling,
+  author="Moeljadi, David",
+  title="Usage of Indonesian Possessive Verbal Predicates : A Statistical Analysis Based on Storytelling Survey",
+  journal="Tokyo University Linguistic Papers",
+  ISSN="1345-8663",
+  publisher="東京大学大学院人文社会系研究科・文学部言語学研究室",
+  year="2014",
+  month="sep",
+  volume="35",
+  number="",
+  pages="155-176",
+  URL="https://ci.nii.ac.jp/naid/120005525793/en/",
+  DOI="info:doi/10.15083/00027472",
+}
+"""
+_DATASETNAME = "id_frog_story"
+_DESCRIPTION = """\
+Indonesian Frog Storytelling Corpus
+Indonesian written and spoken corpus, based on the twenty-eight pictures. (http://compling.hss.ntu.edu.sg/who/david/corpus/pictures.pdf)
+"""
+_HOMEPAGE = "https://github.com/matbahasa/corpus-frog-storytelling"
+_LANGUAGES = ["ind"]
+_LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)"
+_LOCAL = False
+_URLS = {
+    _DATASETNAME: "https://github.com/matbahasa/corpus-frog-storytelling/archive/refs/heads/master.zip",
+}
+_SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
+_SOURCE_VERSION = "1.0.0"
+_NUSANTARA_VERSION = "1.0.0"
+
+
+class IdFrogStory(datasets.GeneratorBasedBuilder):
+    """IdFrogStory contains 13 spoken datasets and 11 written datasets"""
+
+    BUILDER_CONFIGS = [
+        NusantaraConfig(
+            name="id_frog_story_source",
+            version=datasets.Version(_SOURCE_VERSION),
+            description="IdFrogStory source schema",
+            schema="source",
+            subset_id="id_frog_story",
+        ),
+        NusantaraConfig(
+            name="id_frog_story_nusantara_ssp",
+            version=datasets.Version(_NUSANTARA_VERSION),
+            description="IdFrogStory Nusantara schema",
+            schema="nusantara_ssp",
+            subset_id="id_frog_story",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "id_frog_story_source"
+
+    def _info(self):
+        if self.config.schema == "source":
+            features = datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                }
+            )
+        elif self.config.schema == "nusantara_ssp":
+            features = schemas.self_supervised_pretraining.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]:
+        urls = _URLS[_DATASETNAME]
+        base_path = Path(dl_manager.download_and_extract(urls)) / "corpus-frog-storytelling-master" / "data"
+        spoken_path = base_path / "spoken"
+        written_path = base_path / "written"
+
+        data = []
+        for spoken_file_name in sorted(os.listdir(spoken_path)):
+            spoken_file_path = spoken_path / spoken_file_name
+            if os.path.isfile(spoken_file_path):
+                with open(spoken_file_path, "r") as fspoken:
+                    data.extend(fspoken.read().strip("\n").split("\n\n"))
+
+        for written_file_name in sorted(os.listdir(written_path)):
+            written_file_path = written_path / written_file_name
+            if os.path.isfile(written_file_path):
+                with open(written_file_path, "r") as fwritten:
+                    data.extend(fwritten.read().strip("\n").split("\n\n"))
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data": data,
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, data: List, split: str):
+        if self.config.schema == "source":
+            for index, row in enumerate(data):
+                ex = {
+                    "id": index,
+                    "text": row
+                }
+                yield index, ex
+        elif self.config.schema == "nusantara_ssp":
+            for index, row in enumerate(data):
+                ex = {
+                    "id": index,
+                    "text": row
+                }
+                yield index, ex
+        else:
+            raise ValueError(f"Invalid config: {self.config.name}")