Update Persian-News.py

Persian-News.py

@@ -0,0 +1,82 @@
+import json
+import csv
+import datasets
+import requests
+import os
+
+_CITATION = """\\
+@article{ParsBERT,
+    title={ParsBERT: Transformer-based Model for Persian Language Understanding},
+    author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
+    journal={ArXiv},
+    year={2020},
+    volume={abs/2005.12515}
+}
+"""
+_DESCRIPTION = """\\\\\\\\
+A dataset of various news articles scraped from different online news agencies’ websites. The total number of articles is 16,438, spread over eight different classes.
+"""
+
+_DRIVE_URL = "https://drive.google.com/uc?export=download&id=1B6xotfXCcW9xS1mYSBQos7OCg0ratzKC"
+
+class PersianNewsConfig(datasets.BuilderConfig):
+    """BuilderConfig for PersianNews Dataset."""
+    def __init__(self, **kwargs):
+        super(PersianNewsConfig, self).__init__(**kwargs)
+
+
+class PersianNews(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        PersianNewsConfig(name="Persian News", version=datasets.Version("1.0.0"), description="persian classification dataset on online agencie's articles"),
+    ]
+    def _info(self):
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    "content": datasets.Value("string"),
+                    "label": datasets.Value("string"),
+                    "label_id": datasets.Value(dtype='int64')
+                }
+            ),
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage="https://hooshvare.github.io/docs/datasets/tc#persian-news",
+            citation=_CITATION,
+        )
+
+    def custom_dataset(self, src_url, dest_path):
+        response = requests.get(src_url)
+        response.raise_for_status()
+
+        with open(dest_path, 'wb') as f:
+            f.write(response.content)
+
+        
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+    
+        downloaded_file = dl_manager.download_custom(_DRIVE_URL, self.custom_dataset)
+        extracted_file = dl_manager.extract(downloaded_file)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(extracted_file, 'digimag/train.csv')}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(extracted_file, 'digimag/test.csv')}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(extracted_file, 'digimag/dev.csv')}),
+        ]
+
+    def _generate_examples(self, filepath):
+        try:
+            with open(filepath, encoding="utf-8") as f:
+                reader = csv.DictReader(f, delimiter="\t")
+                for idx, row in enumerate(reader):
+                    yield idx, {
+                        "content": row["content"],
+                        "label": row["label"],
+                        "label_id": row["label_id"],
+                    }
+        except Exception as e:
+            print(e)