Convert dataset to Parquet (#2)

- Convert dataset to Parquet (a4166a8dd6582e30366100bf993f4caa0dab2a65)
- Delete loading script (997b2fdbad440475d384c252fc3b0ae00a86bfd7)

README.md

@@ -19,7 +19,6 @@ task_categories:
 task_ids:
 - language-modeling
 - masked-language-modeling
-paperswithcode_id: null
 pretty_name: FarsiNews
 dataset_info:
   features:
@@ -33,13 +32,20 @@ dataset_info:
     sequence: string
   splits:
   - name: hamshahri
-    num_bytes: 1267659
+    num_bytes: 1267639
     num_examples: 2203
   - name: radiofarda
-    num_bytes: 265272
+    num_bytes: 265252
     num_examples: 284
-  download_size: 1648337
-  dataset_size: 1532931
+  download_size: 708765
+  dataset_size: 1532891
+configs:
+- config_name: default
+  data_files:
+  - split: hamshahri
+    path: data/hamshahri-*
+  - split: radiofarda
+    path: data/radiofarda-*
 ---
 
 # Dataset Card for FarsiNews

data/hamshahri-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d1ca64ec366814ba6902e0f2868fcfbce4e527356c7125f0651941a0c678b1e
+size 591058

data/radiofarda-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02fcfcaed69a429c921215b9dbc28679de3d1fce5906ad522887d9ccae49323a
+size 117707

farsi_news.py

@@ -1,93 +0,0 @@
-# Copyright 2020 the HuggingFace Datasets Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Lint as: python3
-"""Farsi News Datasets: Hamshahri and RadioFarda"""
-
-
-import json
-
-import datasets
-
-
-_CITATION = """\
-"""
-
-_DESCRIPTION = """\
-Contains Farsi (Persian) datasets for Machine Learning tasks, particularly NLP.
-These datasets have been extracted from the RSS feed of two Farsi news agency websites:
-
-- Hamshahri
-- RadioFarda
-"""
-
-_URL = "https://raw.githubusercontent.com/sci2lab/Farsi-datasets/master/farsi_news/"
-_URLS = {
-    "hamshahri": _URL + "hamshahri.json",
-    "radiofarda": _URL + "radiofarda.json",
-}
-
-
-class FarsiNews(datasets.GeneratorBasedBuilder):
-    """Farsi News Datasets: Hamshahri and RadioFarda"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    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(
-                {
-                    "title": datasets.Value("string"),
-                    "summary": datasets.Value("string"),
-                    "link": datasets.Value("string"),
-                    "tags": datasets.features.Sequence(datasets.Value("string")),
-                }
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="https://github.com/sci2lab/Farsi-datasets",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        urls_to_download = _URLS
-        dl_dir = dl_manager.download_and_extract(urls_to_download)
-        return [
-            datasets.SplitGenerator(
-                name="hamshahri",
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": dl_dir["hamshahri"], "split": "hamshahri"},
-            ),
-            datasets.SplitGenerator(
-                name="radiofarda",
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": dl_dir["radiofarda"], "split": "radiofarda"},
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as f:
-            data = json.load(f)
-            for id_, example in enumerate(data):
-                yield id_, example