Upload id_hoax_news.py with huggingface_hub

id_hoax_news.py

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+from pathlib import Path
+from typing import List
+
+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 = "id_hoax_news"
+_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+
+_LANGUAGES = ["ind"]  # We follow ISO639-3 langauge code (https://iso639-3.sil.org/code_tables/639/data)
+_LOCAL = False
+_CITATION = """\
+@INPROCEEDINGS{8265649,  author={Pratiwi, Inggrid Yanuar Risca and Asmara, Rosa Andrie and Rahutomo, Faisal},  booktitle={2017 11th International Conference on Information & Communication Technology and System (ICTS)},   title={Study of hoax news detection using naïve bayes classifier in Indonesian language},   year={2017},  volume={},  number={},  pages={73-78},  doi={10.1109/ICTS.2017.8265649}}
+"""
+
+_DESCRIPTION = """\
+This research proposes to build an automatic hoax news detection and collects 250 pages of hoax and valid news articles in Indonesian language.
+Each data sample is annotated by three reviewers and the final taggings are obtained by voting of those three reviewers.
+"""
+
+_HOMEPAGE = "https://data.mendeley.com/datasets/p3hfgr5j3m/1"
+
+_LICENSE = "Creative Commons Attribution 4.0 International"
+
+_URLs = {
+    "train": "https://data.mendeley.com/public-files/datasets/p3hfgr5j3m/files/38bfcff2-8a32-4920-9c26-4f63b5b2dad8/file_downloaded",
+}
+
+_SUPPORTED_TASKS = [Tasks.HOAX_NEWS_CLASSIFICATION]
+
+_SOURCE_VERSION = "1.0.0"
+_NUSANTARA_VERSION = "1.0.0"
+
+
+class IdHoaxNews(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        NusantaraConfig(
+            name="id_hoax_news_source",
+            version=datasets.Version(_SOURCE_VERSION),
+            description="Hoax News source schema",
+            schema="source",
+            subset_id="id_hoax_news",
+        ),
+        NusantaraConfig(
+            name="id_hoax_news_nusantara_text",
+            version=datasets.Version(_NUSANTARA_VERSION),
+            description="Hoax News Nusantara schema",
+            schema="nusantara_text",
+            subset_id="id_hoax_news",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "id_hoax_news_source"
+
+    def _info(self):
+        if self.config.schema == "source":
+            features = datasets.Features(
+                {
+                    "index": datasets.Value("string"),
+                    "news": datasets.Value("string"),
+                    "label": datasets.Value("string"),
+                }
+            )
+        elif self.config.schema == "nusantara_text":
+            features = schemas.text_features(["Valid", "Hoax"])
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        train_tsv_path = Path(dl_manager.download_and_extract(_URLs["train"]))
+        data_files = {
+            "train": train_tsv_path / "250 news with valid hoax label.csv",
+        }
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": data_files["train"]},
+            ),
+        ]
+
+    def _generate_examples(self, filepath: Path):
+        news_file = open(filepath, 'r', encoding='ISO-8859-1')
+        lines = news_file.readlines()
+        news = []
+        labels = []
+
+        curr_news = ''
+        for l in lines[1:]:
+            l = l.replace('\n', '')
+            if ';Valid' in l:
+                curr_news += l.replace(';Valid', '')
+                news.append(curr_news)
+                labels.append('Valid')
+                curr_news = ''
+            elif ';Hoax' in l:
+                curr_news += l.replace(';Hoax', '')
+                news.append(curr_news)
+                labels.append('Hoax')
+                curr_news = ''
+            else:
+                curr_news += l + ' '
+
+        if self.config.schema == "source":
+            for i in range(len(news)):
+                ex = {"index": str(i), "news": news[i], "label": labels[i]}
+                yield i, ex
+        elif self.config.schema == "nusantara_text":
+            for i in range(len(news)):
+                ex = {"id": str(i), "text": news[i], "label": labels[i]}
+                yield i, ex
+        else:
+            raise ValueError(f"Invalid config: {self.config.name}")