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lex_indo.py

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+from pathlib import Path
+from typing import List
+
+import datasets
+
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Licenses, Tasks
+
+_CITATION = """\
+@misc{magichubLEXIndoIndonesian,
+  author    = {},
+  title     = {LEX-INDO: AN INDONESIAN LEXICON},
+  year      = {},
+  howpublished = {Online},
+  url       = {https://magichub.com/datasets/indonesian-lexicon/},
+  note      = {Accessed 19-03-2024},
+}
+"""
+
+_DATASETNAME = "lex_indo"
+
+_DESCRIPTION = """This open-source lexicon consists of 2,000 common Indonesian words, with phoneme series attached.
+It is intended to be used as the lexicon for an automatic speech recognition system or a text-to-speech system.
+The dictionary presents words as well as their pronunciation transcribed with an ARPABET(phone set of CMU)-like phone set. Syllables are separated with dots.
+"""
+
+_HOMEPAGE = "https://magichub.com/datasets/indonesian-lexicon/"
+_LICENSE = Licenses.CC_BY_NC_ND_4_0.value
+_LOCAL = True
+
+_URLS = {}
+
+_SUPPORTED_TASKS = [Tasks.MULTILEXNORM]
+
+_LANGUAGES = ["ind"]
+
+_SOURCE_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
+
+
+class LexIndo(datasets.GeneratorBasedBuilder):
+    """This open-source lexicon consists of 2,000 common Indonesian words, with phoneme series attached"""
+
+    SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
+    SEACROWD_SCHEMA_NAME = "t2t"
+
+    BUILDER_CONFIGS = [
+        SEACrowdConfig(
+            name=f"{_DATASETNAME}_source",
+            version=SOURCE_VERSION,
+            description=f"{_DATASETNAME} lexicon with source schema",
+            schema="source",
+            subset_id=_DATASETNAME,
+        )
+    ] + [
+        SEACrowdConfig(
+            name=f"{_DATASETNAME}_seacrowd_{SEACROWD_SCHEMA_NAME}",
+            version=SEACROWD_VERSION,
+            description=f"{_DATASETNAME} lexicon with SEACrowd schema",
+            schema=f"seacrowd_{SEACROWD_SCHEMA_NAME}",
+            subset_id=_DATASETNAME,
+        )
+    ]
+
+    DEFAULT_CONFIG_NAME = f"{_DATASETNAME}_source"
+
+    def _info(self) -> datasets.DatasetInfo:
+        schema = self.config.schema
+        if schema == "source":
+            features = datasets.Features({"id": datasets.Value("string"), "word": datasets.Value("string"), "phoneme": datasets.Value("string")})
+        else:
+            features = schemas.text2text_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]:
+        """Returns SplitGenerators."""
+        if self.config.data_dir is None:
+            raise ValueError("This is a local dataset. Please pass the data_dir kwarg to load_dataset.")
+        else:
+            data_dir = self.config.data_dir
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir,
+                },
+            )
+        ]
+
+    def _generate_examples(self, filepath: Path):
+        """Yields examples as (key, example) tuples."""
+
+        try:
+            with open(f"{filepath}/Indonesian_dic.txt", "r") as f:
+                data = f.readlines()
+        except FileNotFoundError:
+            print("File not found. Please check the file path. Make sure Indonesian_dic.txt is in dest directory")
+        except IOError:
+            print("An error occurred while trying to read the file.")
+
+        for idx, text in enumerate(data):
+            word_i = text.split()[0]
+            phoneme_i = " ".join(text.split()[1:])
+            if self.config.schema == "source":
+                example = {"id": str(idx), "word": word_i, "phoneme": phoneme_i}
+            elif self.config.schema == f"seacrowd_{self.SEACROWD_SCHEMA_NAME}":
+                example = {
+                    "id": str(idx),
+                    "text_1": word_i,
+                    "text_2": phoneme_i,
+                    "text_1_name": _LANGUAGES[-1],
+                    "text_2_name": "phoneme",
+                }
+            else:
+                raise ValueError(f"Invalid config: {self.config.name}")
+            yield idx, example