Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
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+*.onnx filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
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+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+- fa
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- sequence-modeling
+task_ids:
+- language-modeling
+---
+
+# Dataset Card Creation Guide
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** []()
+- **Repository:** [link](https://github.com/sci2lab/Farsi-datasets)
+- **Paper:** []()
+- **Leaderboard:** []()
+- **Point of Contact:** []()
+
+### Dataset Summary
+
+https://github.com/sci2lab/Farsi-datasets
+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
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+[More Information Needed]
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+[More Information Needed]
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+https://github.com/sci2lab/Farsi-datasets
+

dataset_infos.json

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+{
+    "default": {
+        "description": "\n",
+        "citation": "",
+        "homepage": "https://github.com/sci2lab/Farsi-datasets",
+        "license": "",
+        "features": {
+            "title": { "dtype": "string", "id": null, "_type": "Value" },
+            "summary": { "dtype": "string", "id": null, "_type": "Value" },
+            "link": { "dtype": "string", "id": null, "_type": "Value" },
+            "tags": {
+                "feature": { "dtype": "string", "id": null, "_type": "Value" },
+                "length": -1,
+                "id": null,
+                "_type": "Sequence"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "farsi_news",
+        "config_name": "default",
+        "version": {
+            "version_str": "1.0.0",
+            "description": null,
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "hamshahri": {
+                "name": "hamshahri",
+                "num_bytes": 1267659,
+                "num_examples": 2203,
+                "dataset_name": "farsi_news"
+            },
+            "radiofarda": {
+                "name": "radiofarda",
+                "num_bytes": 265272,
+                "num_examples": 284,
+                "dataset_name": "farsi_news"
+            }
+        },
+        "download_checksums": {
+            "https://raw.githubusercontent.com/sci2lab/Farsi-datasets/master/farsi_news/hamshahri.json": {
+                "num_bytes": 1369041,
+                "checksum": "45443c16aada96ebf33df7d40940a21373e15b9a9a142780e636f5fb6de76485"
+            },
+            "https://raw.githubusercontent.com/sci2lab/Farsi-datasets/master/farsi_news/radiofarda.json": {
+                "num_bytes": 279296,
+                "checksum": "c7ca5a63405227a70b612bcfab3fb852e22333cf04b74188b27306da0a82c243"
+            }
+        },
+        "download_size": 1648337,
+        "post_processing_size": null,
+        "dataset_size": 1532931,
+        "size_in_bytes": 3181268
+    }
+}

dummy/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9bf0d064778d649d0e348b70535e18b2d18782d41a761a6f23ee2e16e24f9f92
+size 3926

farsi_news.py

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+# 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"""
+
+from __future__ import absolute_import, division, print_function
+
+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