Update parquet files

README.md

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----
-annotations_creators:
-- expert-generated
-language_creators:
-- found
-languages:
-- sq
-- sq-AL
-licenses:
-- cc-by-4.0
-multilinguality:
-- monolingual
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- text_classification
-task_ids:
-- hate-speech-detection
-- text-classification-other-hate-speech-detection
-paperswithcode_id: shaj
-pretty_name: SHAJ
-extra_gated_prompt: "Warning: this repository contains harmful content (abusive language, hate speech)."
----
-
-# Dataset Card for "shaj"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [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)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** 
-- **Repository:** [https://figshare.com/articles/dataset/SHAJ_Albanian_hate_speech_abusive_language/19333298/1](https://figshare.com/articles/dataset/SHAJ_Albanian_hate_speech_abusive_language/19333298/1)
-- **Paper:** [https://arxiv.org/abs/2107.13592](https://arxiv.org/abs/2107.13592)
-- **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
-- **Size of downloaded dataset files:** 769.21 KiB
-- **Size of the generated dataset:** 1.06 MiB
-- **Total amount of disk used:**  1.85 MiB
-
-### Dataset Summary
-
-This is an abusive/offensive language detection dataset for Albanian. The data is formatted
-following the OffensEval convention, with three tasks:
-
-* Subtask A: Offensive (OFF) or not (NOT)
-* Subtask B: Untargeted (UNT) or targeted insult (TIN)
-* Subtask C: Type of target: individual (IND), group (GRP), or other (OTH)
-
-Notes on the above:
-
-* The subtask A field should always be filled.
-* The subtask B field should only be filled if there's "offensive" (OFF) in A.
-* The subtask C field should only be filled if there's "targeted" (TIN) in B.
-
-The dataset name is a backronym, also standing for "Spoken Hate in the Albanian Jargon"
-
-See the paper [https://arxiv.org/abs/2107.13592](https://arxiv.org/abs/2107.13592) for full details.
-
-### Supported Tasks and Leaderboards
-
-* Task A leaderboard at [paperswithcode.com/sota/hate-speech-detection-on-shaj](https://paperswithcode.com/sota/hate-speech-detection-on-shaj)
-
-### Languages
-
-Albanian (`bcp47:sq-AL`)
-
-## Dataset Structure
-
-### Data Instances
-
-#### shaj
-
-- **Size of downloaded dataset files:** 769.21 KiB
-- **Size of the generated dataset:** 1.06 MiB
-- **Total amount of disk used:**  1.85 MiB
-
-An example of 'train' looks as follows.
-
-```
-{
-  'id': '0', 
-  'text': 'PLACEHOLDER TEXT', 
-  'subtask_a': 1, 
-  'subtask_b': 0, 
-  'subtask_c': 0
-}
-```
-
-
-### Data Fields
-
-- `id`: a `string` feature.
-- `text`: a `string`.
-- `subtask_a`: whether or not the instance is offensive; `0: OFF, 1: NOT`
-- `subtask_b`: whether an offensive instance is a targeted insult; `0: TIN, 1: UNT, 2: not applicable`
-- `subtask_c`: what a targeted insult is aimed at; `0: IND, 1: GRP, 2: OTH, 3: not applicable`
-
-
-### Data Splits
-
-|  name   |train|
-|---------|----:|
-|shaj|11874 sentences|
-
-## Dataset Creation
-
-### Curation Rationale
-
-Collecting data for enabling offensive speech detection in Albanian
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-The text is scraped from comments on popular Albanian YouTube and Instagram accounts.
-An extended discussion is given in the paper in section 3.2.
-
-#### Who are the source language producers?
-
-People who comment on a selection of high-activity Albanian instagram and youtube profiles.
-
-### Annotations
-
-#### Annotation process
-
-The annotation scheme was taken from OffensEval 2019 and applied by two native speaker authors of the paper as well as their friends and family.
-
-#### Who are the annotators?
-
-Albanian native speakers, male and female, aged 20-60.
-
-### Personal and Sensitive Information
-
-The data was public at the time of collection. No PII removal has been performed.
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-The data definitely contains abusive language.
-
-### Discussion of Biases
-
-
-### Other Known Limitations
-
-
-## Additional Information
-
-### Dataset Curators
-
-The dataset is curated by the paper's authors.
-
-### Licensing Information
-
-The authors distribute this data under Creative Commons attribution license, CC-BY 4.0. 
-
-### Citation Information
-
-```
-@article{nurce2021detecting,
-  title={Detecting Abusive Albanian},
-  author={Nurce, Erida and Keci, Jorgel and Derczynski, Leon},
-  journal={arXiv preprint arXiv:2107.13592},
-  year={2021}
-}
-```
-
-
-### Contributions
-
-Author-added dataset [@leondz](https://github.com/leondz) 

Shaj/shaj-train.parquet

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+size 611787

dataset_infos.json

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-{"Shaj": {"description": "This is an abusive/offensive language detection dataset for Albanian. The data is formatted\nfollowing the OffensEval convention, with three tasks:\n\n* Subtask A: Offensive (OFF) or not (NOT)\n* Subtask B: Untargeted (UNT) or targeted insult (TIN)\n* Subtask C: Type of target: individual (IND), group (GRP), or other (OTH)\n\n* The subtask A field should always be filled.\n* The subtask B field should only be filled if there's \"offensive\" (OFF) in A.\n* The subtask C field should only be filled if there's \"targeted\" (TIN) in B.\n\nThe dataset name is a backronym, also standing for \"Spoken Hate in the Albanian Jargon\"\n\nSee the paper [https://arxiv.org/abs/2107.13592](https://arxiv.org/abs/2107.13592) for full details.\n", "citation": "@article{nurce2021detecting,\n  title={Detecting Abusive Albanian},\n  author={Nurce, Erida and Keci, Jorgel and Derczynski, Leon},\n  journal={arXiv preprint arXiv:2107.13592},\n  year={2021}\n}\n", "homepage": "https://arxiv.org/abs/2107.13592", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "subtask_a": {"num_classes": 2, "names": ["OFF", "NOT"], "id": null, "_type": "ClassLabel"}, "subtask_b": {"num_classes": 3, "names": ["TIN", "UNT", ""], "id": null, "_type": "ClassLabel"}, "subtask_c": {"num_classes": 4, "names": ["IND", "GRP", "OTH", ""], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "shaj", "config_name": "Shaj", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1112341, "num_examples": 11874, "dataset_name": "shaj"}}, "download_checksums": {"full_albanian_dataset.csv": {"num_bytes": 787636, "checksum": "dfa908dff5bf8c6d0b5cc3a2ccb84b79cae623f46f3357d8633167f6dca34c1d"}}, "download_size": 787636, "post_processing_size": null, "dataset_size": 1112341, "size_in_bytes": 1899977}}

shaj.py

@@ -1,127 +0,0 @@
-# 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
-"""SHAJ: An abusive language dataset for Albanian"""
-
-import csv
-import os
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@article{nurce2021detecting,
-  title={Detecting Abusive Albanian},
-  author={Nurce, Erida and Keci, Jorgel and Derczynski, Leon},
-  journal={arXiv preprint arXiv:2107.13592},
-  year={2021}
-}
-"""
-
-_DESCRIPTION = """\
-This is an abusive/offensive language detection dataset for Albanian. The data is formatted
-following the OffensEval convention, with three tasks:
-
-* Subtask A: Offensive (OFF) or not (NOT)
-* Subtask B: Untargeted (UNT) or targeted insult (TIN)
-* Subtask C: Type of target: individual (IND), group (GRP), or other (OTH)
-
-* The subtask A field should always be filled.
-* The subtask B field should only be filled if there's "offensive" (OFF) in A.
-* The subtask C field should only be filled if there's "targeted" (TIN) in B.
-
-The dataset name is a backronym, also standing for "Spoken Hate in the Albanian Jargon"
-
-See the paper [https://arxiv.org/abs/2107.13592](https://arxiv.org/abs/2107.13592) for full details.
-"""
-
-_URL = "full_albanian_dataset.csv"
-
-
-class ShajConfig(datasets.BuilderConfig):
-    """BuilderConfig for Shaj"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig Shaj.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(ShajConfig, self).__init__(**kwargs)
-
-
-class Shaj(datasets.GeneratorBasedBuilder):
-    """Shaj dataset."""
-
-    BUILDER_CONFIGS = [
-        ShajConfig(name="Shaj", version=datasets.Version("1.0.0"), description="Abusive language dataset in Albanian"),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "text": datasets.Value("string"),
-                    "subtask_a": datasets.features.ClassLabel(
-                        names=[
-                            "OFF",
-                            "NOT",
-                        ]
-                    ),
-                    "subtask_b": datasets.features.ClassLabel(
-                        names=[
-                            "TIN",
-                            "UNT",
-                            "",
-                        ]
-                    ),
-                    "subtask_c": datasets.features.ClassLabel(
-                        names=[
-                            "IND",
-                            "GRP",
-                            "OTH",
-                            "",
-                        ]
-                    ),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://arxiv.org/abs/2107.13592",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        downloaded_file = dl_manager.download_and_extract(_URL)
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file}),
-        ]
-
-    def _generate_examples(self, filepath):
-        logger.info("⏳ Generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            shaj_reader = csv.DictReader(f, fieldnames=('text','subtask_a','subtask_b','subtask_c'), delimiter=";", quotechar='"')
-            guid = 0
-            for instance in shaj_reader:
-                instance["id"] = str(guid)
-                yield guid, instance
-                guid += 1