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kamus_alay.py

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+from pathlib import Path
+from typing import Dict, List, Tuple
+
+import datasets
+
+from nusacrowd.utils.configs import NusantaraConfig
+from nusacrowd.utils.constants import Tasks
+from nusacrowd.utils import schemas
+
+import pandas as pd
+
+
+_CITATION = """\
+@INPROCEEDINGS{8629151,
+author={Aliyah Salsabila, Nikmatun and Ardhito Winatmoko, Yosef and Akbar Septiandri, Ali and Jamal, Ade},
+booktitle={2018 International Conference on Asian Language Processing (IALP)},
+title={Colloquial Indonesian Lexicon},
+year={2018},
+volume={},
+number={},
+pages={226-229},
+doi={10.1109/IALP.2018.8629151}}
+"""
+
+_LANGUAGES = ["ind"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+_LOCAL = False
+
+_DATASETNAME = "kamus_alay"
+
+_DESCRIPTION = """\
+Kamus Alay provide a lexicon for text normalization of Indonesian colloquial words.
+It contains 3,592 unique colloquial words-also known as “bahasa alay” -and manually annotated them
+with the normalized form. We built this lexicon from Instagram comments provided by Septiandri & Wibisono (2017)
+"""
+
+_HOMEPAGE = "https://ieeexplore.ieee.org/abstract/document/8629151"
+
+_LICENSE = "Unknown"
+
+_URLS = {
+    _DATASETNAME: "https://raw.githubusercontent.com/nasalsabila/kamus-alay/master/colloquial-indonesian-lexicon.csv",
+}
+
+_SUPPORTED_TASKS = [Tasks.MORPHOLOGICAL_INFLECTION]
+
+# Dataset does not have versioning
+_SOURCE_VERSION = "1.0.0"
+_NUSANTARA_VERSION = "1.0.0"
+
+
+class KamusAlay(datasets.GeneratorBasedBuilder):
+    """Kamus Alay is a dataset of lexicon for text normalization of Indonesian colloquial word"""
+
+    SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
+    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+
+    label_classes = [
+        "abreviasi",
+        "afiksasi",
+        "akronim",
+        "anaptiksis",
+        "coinage",
+        "elongasi",
+        "homofon",
+        "metatesis",
+        "modifikasi vokal",
+        "monoftongisasi",
+        "naturalisasi",
+        "pungtuasi",
+        "reduplikasi",
+        "salah ketik",
+        "subtitusi",
+        "word-value letter",
+        "zeroisasi",
+    ]
+
+    BUILDER_CONFIGS = [
+        NusantaraConfig(
+            name="kamus_alay_source",
+            version=SOURCE_VERSION,
+            description="Kamus Alay source schema",
+            schema="source",
+            subset_id="kamus_alay",
+        ),
+        NusantaraConfig(
+            name="kamus_alay_nusantara_pairs_multi",
+            version=NUSANTARA_VERSION,
+            description="Kamus Alay Nusantara schema",
+            schema="nusantara_pairs_multi",
+            subset_id="kamus_alay",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "kamus_alay_source"
+
+    def _info(self) -> datasets.DatasetInfo:
+        if self.config.schema == "source":
+            features = datasets.Features(
+                {
+                    "slang": datasets.Value("string"),
+                    "formal": datasets.Value("string"),
+                    "in_dictionary": datasets.Value("bool"),
+                    "context": datasets.Value("string"),
+                    "categories": datasets.Sequence(datasets.Value("string")),
+                }
+            )
+        elif self.config.schema == "nusantara_pairs_multi":
+            features = schemas.pairs_multi_features(self.label_classes)
+
+        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."""
+        urls = _URLS[_DATASETNAME]
+
+        data_dir = Path(dl_manager.download(urls))
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath: Path, split: str) -> Tuple[int, Dict]:
+        """Yields examples as (key, example) tuples."""
+        # Dataset does not have id, using row index as id
+        df = pd.read_csv(filepath, encoding="ISO-8859-1").reset_index()
+        df.columns = ["id", "slang", "formal", "is_in_dictionary", "example", "category1", "category2", "category3"]
+
+        if self.config.schema == "source":
+            for row in df.itertuples():
+                ex = {
+                    "slang": row.slang,
+                    "formal": row.formal,
+                    "in_dictionary": row.is_in_dictionary,
+                    "context": row.example,
+                    "categories": [c for c in (row.category1, row.category2, row.category3) if c != "0"],
+                }
+                yield row.id, ex
+
+        elif self.config.schema == "nusantara_pairs_multi":
+            for row in df.itertuples():
+                ex = {
+                    "id": str(row.id),
+                    "text_1": row.formal,
+                    "text_2": row.slang,
+                    "label": [c for c in (row.category1, row.category2, row.category3) if c != "0"],
+                }
+                yield row.id, ex
+        else:
+            raise ValueError(f"Invalid config: {self.config.name}")