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
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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+languages:
+- aeb
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+---
+
+# 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:** https://github.com/chaymafourati/TUNIZI-Sentiment-Analysis-Tunisian-Arabizi-Dataset
+- **Repository:** https://github.com/chaymafourati/TUNIZI-Sentiment-Analysis-Tunisian-Arabizi-Dataset
+- **Paper:** https://arxiv.org/abs/2004.14303
+- **Point of Contact:** Chayma Fourati (chayma@icompass.digital)
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+This dataset uses Tunisian Arabic written with latin script (BCP-47: aeb-Latn)
+
+## Dataset Structure
+
+### 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
+
+[More Information Needed]

dataset_infos.json

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+{"default": {"description": "On social media, Arabic speakers tend to express themselves in their own local dialect. To do so, Tunisians use \"Tunisian Arabizi\", which consists in supplementing numerals to the Latin script rather than the Arabic alphabet. TUNIZI is the first Tunisian Arabizi Dataset including 3K sentences, balanced, covering different topics, preprocessed and annotated as positive and negative.\n", "citation": "@inproceedings{Chayma2020,\ntitle={TUNIZI: a Tunisian Arabizi sentiment analysis Dataset},\nauthor={Fourati, Chayma and Messaoudi, Abir and Haddad, Hatem},\nbooktitle={AfricaNLP Workshop, Putting Africa on the NLP Map. ICLR 2020, Virtual Event},\nvolume = {arXiv:3091079},\nyear = {2020},\nurl = {https://arxiv.org/submit/3091079},\n}\n", "homepage": "https://github.com/chaymafourati/TUNIZI-Sentiment-Analysis-Tunisian-Arabizi-Dataset", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"num_classes": 2, "names": ["1", "-1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "tunizi", "config_name": "default", "version": {"version_str": "0.9.1", "description": null, "major": 0, "minor": 9, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 211166, "num_examples": 3000, "dataset_name": "tunizi"}}, "download_checksums": {"https://raw.githubusercontent.com/chaymafourati/TUNIZI-Sentiment-Analysis-Tunisian-Arabizi-Dataset/master/TUNIZI-Dataset.txt": {"num_bytes": 162781, "checksum": "af5a8eab4f2e2e20d5ff86a1e79ac0903f7023c06d321b33660f8c371e1bd051"}}, "download_size": 162781, "post_processing_size": null, "dataset_size": 211166, "size_in_bytes": 373947}}

dummy/0.9.1/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d2efca95b7e45279fd05945dbf12ab5c75eca4119904e3f72fdabb4bcc6172cc
+size 399

tunizi.py

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+# coding=utf-8
+# Copyright 2020 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
+import datasets
+
+
+_DESCRIPTION = """\
+On social media, Arabic speakers tend to express themselves in their own local dialect. To do so, Tunisians use "Tunisian Arabizi", which consists in supplementing numerals to the Latin script rather than the Arabic alphabet. TUNIZI is the first Tunisian Arabizi Dataset including 3K sentences, balanced, covering different topics, preprocessed and annotated as positive and negative.
+"""
+_HOMEPAGE_URL = "https://github.com/chaymafourati/TUNIZI-Sentiment-Analysis-Tunisian-Arabizi-Dataset"
+_URL = "https://raw.githubusercontent.com/chaymafourati/TUNIZI-Sentiment-Analysis-Tunisian-Arabizi-Dataset/master/TUNIZI-Dataset.txt"
+_CITATION = """\
+@inproceedings{Chayma2020,
+title={TUNIZI: a Tunisian Arabizi sentiment analysis Dataset},
+author={Fourati, Chayma and Messaoudi, Abir and Haddad, Hatem},
+booktitle={AfricaNLP Workshop, Putting Africa on the NLP Map. ICLR 2020, Virtual Event},
+volume = {arXiv:3091079},
+year = {2020},
+url = {https://arxiv.org/submit/3091079},
+}
+"""
+
+
+class Tunizi(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("0.9.1")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "sentence": datasets.Value("string"),
+                    "target": datasets.ClassLabel(names=["1", "-1"]),
+                },
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE_URL,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        path = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"datapath": path},
+            )
+        ]
+
+    def _generate_examples(self, datapath):
+        with open(datapath, encoding="utf-8") as f:
+            for sentence_counter, row in enumerate(f):
+                row = row.strip()
+                target, sentence = row.split(";")
+                if target.startswith("%") or target.startswith('"'):
+                    target = target[1:]
+                result = (
+                    sentence_counter,
+                    {
+                        "id": str(sentence_counter),
+                        "sentence": sentence,
+                        "target": target,
+                    },
+                )
+                yield result