Update files from the datasets library (from 1.2.0)

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

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README.md

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+---
+annotations_creators:
+  - expert-generated
+language_creators:
+  - crowdsourced
+languages:
+  - ur
+licenses:
+  - unknown
+multilinguality:
+  - monolingual
+size_categories:
+  - 1K<n<10K
+source_datasets:
+  - original
+task_categories:
+  - text-classification
+task_ids:
+  - sentiment-classification
+---
+
+# Dataset Card for Urdu Sentiment Corpus (USC)
+
+## 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:** [Github](https://github.com/MuhammadYaseenKhan/Urdu-Sentiment-Corpus)
+- **Repository:** [Github](https://github.com/MuhammadYaseenKhan/Urdu-Sentiment-Corpus)
+- **Paper:** [IEEE](https://ieeexplore.ieee.org/abstract/document/9080043)
+- **Leaderboard:**
+- **Point of Contact:** [Muhammad Yaseen Khan](https://github.com/MuhammadYaseenKhan)
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+- sentences: The Urdu tweet
+- sentiment: The sentiment that was exhibited in the tweet, which can be Positive(P) or Negative(N) or Objective(O).
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### 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
+
+[More Information Needed]

dataset_infos.json

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+{"default": {"description": "\n\u201cUrdu Sentiment Corpus\u201d (USC) shares the dat of Urdu tweets for the sentiment analysis and polarity detection.\nThe dataset is consisting of tweets and overall, the dataset is comprising over 17, 185 tokens\nwith 52% records as positive, and 48 % records as negative.\n", "citation": "\n@inproceedings{khan2020usc,\n  title={Urdu Sentiment Corpus (v1.0): Linguistic Exploration and Visualization of Labeled Datasetfor Urdu Sentiment Analysis.},\n  author={Khan, Muhammad Yaseen and Nizami, Muhammad Suffian},\n  booktitle={2020 IEEE 2nd International Conference On Information Science & Communication Technology (ICISCT)},\n  pages={},\n  year={2020},\n  organization={IEEE}\n}\n", "homepage": "https://github.com/MuhammadYaseenKhan/Urdu-Sentiment-Corpus", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "sentiment": {"num_classes": 3, "names": ["P", "N", "O"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "urdu_sentiment_corpus", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 161190, "num_examples": 1000, "dataset_name": "urdu_sentiment_corpus"}}, "download_checksums": {"https://github.com/MuhammadYaseenKhan/Urdu-Sentiment-Corpus/archive/master.zip": {"num_bytes": 51583, "checksum": "793561fd1cd4931024f551c0ea4a09d159064c2536f36ac5fec225178ba6a9b2"}}, "download_size": 51583, "post_processing_size": null, "dataset_size": 161190, "size_in_bytes": 212773}}

dummy/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9883d4e412bb5479d6b723e3effb0a2d82b5b4ba6cb870c39e8080d74bdb90ee
+size 972

urdu_sentiment_corpus.py

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+"""Urdu Sentiment Corpus"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+import datasets
+
+
+_CITATION = """
+@inproceedings{khan2020usc,
+  title={Urdu Sentiment Corpus (v1.0): Linguistic Exploration and Visualization of Labeled Datasetfor Urdu Sentiment Analysis.},
+  author={Khan, Muhammad Yaseen and Nizami, Muhammad Suffian},
+  booktitle={2020 IEEE 2nd International Conference On Information Science & Communication Technology (ICISCT)},
+  pages={},
+  year={2020},
+  organization={IEEE}
+}
+"""
+
+_DESCRIPTION = """
+“Urdu Sentiment Corpus” (USC) shares the dat of Urdu tweets for the sentiment analysis and polarity detection.
+The dataset is consisting of tweets and overall, the dataset is comprising over 17, 185 tokens
+with 52% records as positive, and 48 % records as negative.
+"""
+
+_URL = "https://github.com/MuhammadYaseenKhan/Urdu-Sentiment-Corpus/archive/master.zip"
+
+
+class UrduSentimentCorpus(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    labels_dic = {
+        "P": 0,
+        "N": 1,
+        "O": 2,
+    }
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "sentence": datasets.Value("string"),
+                    "sentiment": datasets.ClassLabel(names=list(self.labels_dic.keys())),
+                }
+            ),
+            homepage="https://github.com/MuhammadYaseenKhan/Urdu-Sentiment-Corpus",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        dl_path = dl_manager.download_and_extract(_URL)
+        dl_dir = os.path.join(dl_path, "Urdu-Sentiment-Corpus-master", "urdu-sentiment-corpus-v1.tsv")
+
+        # This dataset has no train test split
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": os.path.join(dl_dir)},
+            ),
+        ]
+
+    def _generate_examples(self, filepath=None):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            next(f)
+            for id_, row in enumerate(f):
+                row = row.strip().split("\t")
+                if len(row) != 2:
+                    continue
+                row[1] = self.labels_dic[row[1]]
+
+                yield id_, {"sentence": row[0][::-1], "sentiment": row[1]}