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indo_puisi.py

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+from pathlib import Path
+from typing import Dict, List, Tuple
+
+import datasets
+import pandas as pd
+
+from nusacrowd.utils import schemas
+from nusacrowd.utils.configs import NusantaraConfig
+from nusacrowd.utils.constants import (DEFAULT_NUSANTARA_VIEW_NAME,
+                                       DEFAULT_SOURCE_VIEW_NAME, Tasks)
+
+_DATASETNAME = "indo_puisi"
+_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+
+_CITATION = """
+"""
+
+_LANGUAGES = ["ind"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+_LOCAL = False
+
+_DESCRIPTION = """\
+Puisi is an Indonesian poetic form. The dataset was collected by scraping various websites. It contains 7223 Indonesian puisi along with the title and author.
+"""
+
+_HOMEPAGE = "https://github.com/ilhamfp/puisi-pantun-generator"
+
+_LICENSE = "Creative Commons Attribution Share-Alike 4.0 International"
+
+_SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
+
+_SOURCE_VERSION = "1.0.0"
+
+_NUSANTARA_VERSION = "1.0.0"
+
+_URLS = {
+    "train": "https://raw.githubusercontent.com/ilhamfp/puisi-pantun-generator/main/data/puisi.csv",
+}
+
+
+class IndoPuisi(datasets.GeneratorBasedBuilder):
+    """IndoPuisi contains 7223 Indonesian puisi along with the title and author."""
+
+    BUILDER_CONFIGS = (
+        NusantaraConfig(
+            name="indo_puisi_source",
+            version=_SOURCE_VERSION,
+            description="Indo puisi source schema",
+            schema="source",
+            subset_id="indo_puisi",
+        ),
+        NusantaraConfig(
+            name="indo_puisi_nusantara_ssp",
+            version=_NUSANTARA_VERSION,
+            description="Indo puisi Nusantara schema",
+            schema="nusantara_ssp",
+            subset_id="indo_puisi",
+        ),
+    )
+
+    DEFAULT_CONFIG_NAME = "indo_puisi_source"
+
+    def _info(self) -> datasets.DatasetInfo:
+        if self.config.schema == "source":
+            features = datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "puisi": datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                    "author": datasets.Value("string"),
+                    "puisi_with_header": datasets.Value("string"),
+                }
+            )
+        elif self.config.schema == "nusantara_ssp":
+            features = schemas.self_supervised_pretraining.features
+        else:
+            raise ValueError(f"Invalid config schema: {self.config.schema}")
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        """Returns SplitGenerators."""
+        train_csv_path = Path(dl_manager.download(_URLS["train"]))
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": train_csv_path},
+            ),
+        ]
+
+    def _generate_examples(self, filepath: Path) -> Tuple[int, Dict]:
+        if self.config.schema != "source" and self.config.schema != "nusantara_ssp":
+            raise ValueError(f"Invalid config schema: {self.config.schema}")
+
+        df = pd.read_csv(filepath).reset_index()
+        if self.config.name == "indo_puisi_source":
+            for row in df.itertuples():
+                ex = {
+                    "id": str(row.index),
+                    "puisi": str(row.puisi).rstrip(),
+                    "title": row.title,
+                    "author": row.author,
+                    "puisi_with_header": str(row.puisi_with_header).rstrip(),
+                }
+                yield row.index, ex
+
+        elif self.config.name == "indo_puisi_nusantara_ssp":
+            for row in df.itertuples():
+                ex = {"id": str(row.index), "text": str(row.puisi).rstrip()}
+                yield row.index, ex