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NusaX-senti.py

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-from pathlib import Path
-from typing import Dict, List, Tuple
-
-import datasets
-import pandas as pd
-
-_LOCAL = False
-
-_LANGUAGES = ["ind", "ace", "ban", "bjn", "bbc", "bug", "jav", "mad", "min", "nij", "sun", "eng"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
-
-_CITATION = """\
-@misc{winata2022nusax,
-      title={NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages},
-      author={Winata, Genta Indra and Aji, Alham Fikri and Cahyawijaya,
-      Samuel and Mahendra, Rahmad and Koto, Fajri and Romadhony,
-      Ade and Kurniawan, Kemal and Moeljadi, David and Prasojo,
-      Radityo Eko and Fung, Pascale and Baldwin, Timothy and Lau,
-      Jey Han and Sennrich, Rico and Ruder, Sebastian},
-      year={2022},
-      eprint={2205.15960},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL}
-}
-"""
-
-_DESCRIPTION = """\
-NusaX is a high-quality multilingual parallel corpus that covers 12 languages, Indonesian, English, and 10 Indonesian local languages, namely Acehnese, Balinese, Banjarese, Buginese, Madurese, Minangkabau, Javanese, Ngaju, Sundanese, and Toba Batak.
-NusaX-Senti is a 3-labels (positive, neutral, negative) sentiment analysis dataset for 10 Indonesian local languages + Indonesian and English.
-"""
-
-_HOMEPAGE = "https://github.com/IndoNLP/nusax/tree/main/datasets/sentiment"
-
-_LICENSE = "Creative Commons Attribution Share-Alike 4.0 International"
-
-_SOURCE_VERSION = "1.0.0"
-
-_URLS = {
-    "train": "https://raw.githubusercontent.com/IndoNLP/nusax/main/datasets/sentiment/{lang}/train.csv",
-    "validation": "https://raw.githubusercontent.com/IndoNLP/nusax/main/datasets/sentiment/{lang}/valid.csv",
-    "test": "https://raw.githubusercontent.com/IndoNLP/nusax/main/datasets/sentiment/{lang}/test.csv",
-}
-
-LANGUAGES_MAP = {
-    "ace": "acehnese",
-    "ban": "balinese",
-    "bjn": "banjarese",
-    "bug": "buginese",
-    "eng": "english",
-    "ind": "indonesian",
-    "jav": "javanese",
-    "mad": "madurese",
-    "min": "minangkabau",
-    "nij": "ngaju",
-    "sun": "sundanese",
-    "bbc": "toba_batak",
-}
-
-
-class NusaXSenti(datasets.GeneratorBasedBuilder):
-    """NusaX-Senti is a 3-labels (positive, neutral, negative) sentiment analysis dataset for 10 Indonesian local languages + Indonesian and English."""
-
-    BUILDER_CONFIGS = [
-    datasets.BuilderConfig(
-        name = lang,
-        version = _SOURCE_VERSION,
-        description = f"NusaX-Senti: Sentiment analysis dataset for {lang}") 
-    for lang in LANGUAGES_MAP]
-
-    DEFAULT_CONFIG_NAME = "ind"
-
-    def _info(self) -> datasets.DatasetInfo:
-        features = datasets.Features(
-            {
-                "id": datasets.Value("string"),
-                "text": datasets.Value("string"),
-                "lang": datasets.Value("string"),
-                "label": datasets.Value("string"),
-            }
-        )
-
-        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."""
-        lang = self.config.name
-        train_csv_path = Path(dl_manager.download_and_extract(_URLS["train"].format(lang=LANGUAGES_MAP[lang])))
-        validation_csv_path = Path(dl_manager.download_and_extract(_URLS["validation"].format(lang=LANGUAGES_MAP[lang])))
-        test_csv_path = Path(dl_manager.download_and_extract(_URLS["test"].format(lang=LANGUAGES_MAP[lang])))
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": train_csv_path},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": validation_csv_path},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": test_csv_path},
-            ),
-        ]
-
-    def _generate_examples(self, filepath: Path) -> Tuple[int, Dict]:
-        df = pd.read_csv(filepath).reset_index()
-
-        for row in df.itertuples():
-            ex = {"id": str(row.id), "text": row.text, "label": row.label, "lang": self.config.name}
-            yield row.id, ex

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