Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
hate-speech-detection
Size:
10K - 100K
ArXiv:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - found | |
| languages: | |
| - ar | |
| - da | |
| - en | |
| - gr | |
| - tr | |
| licenses: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - multilingual | |
| pretty_name: OffensEval 2020 | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - hate-speech-detection | |
| extra_gated_prompt: "Warning: this repository contains harmful content (abusive language, hate speech)." | |
| # Dataset Card for "offenseval_2020" | |
| ## 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:** https://sites.google.com/site/offensevalsharedtask/results-and-paper-submission | |
| - **Repository:** | |
| - **Paper:** [https://aclanthology.org/2020.semeval-1.188/](https://aclanthology.org/2020.semeval-1.188/) | |
| - **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 | |
| * [OffensEval 2020](https://sites.google.com/site/offensevalsharedtask/results-and-paper-submission) | |
| ### Languages | |
| Albanian (`bcp47:sq-AL`) | |
| ## Dataset Structure | |
| There are five named configs, one per language: | |
| * `ar` Arabic | |
| * `da` Danish | |
| * `en` English | |
| * `gr` Greek | |
| * `tr` Turkish | |
| The training data for English is absent - this is 9M tweets that need to be rehydrated on their own. See [https://zenodo.org/record/3950379#.XxZ-aFVKipp](https://zenodo.org/record/3950379#.XxZ-aFVKipp) | |
| ### Data Instances | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| 'id': '0', | |
| 'text': 'PLACEHOLDER TEXT', | |
| 'subtask_a': 1, | |
| } | |
| ``` | |
| ### Data Fields | |
| - `id`: a `string` feature. | |
| - `text`: a `string`. | |
| - `subtask_a`: whether or not the instance is offensive; `0: NOT, 1: OFF` | |
| ### Data Splits | |
| | name |train|test| | |
| |---------|----:|---:| | |
| |ar|7839|1827| | |
| |da|2961|329| | |
| |en|0|3887| | |
| |gr|8743|1544| | |
| |tr|31277|3515| | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| Collecting data for abusive language classification. Different rational for each dataset. | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| Varies per language dataset | |
| #### Who are the source language producers? | |
| Social media users | |
| ### Annotations | |
| #### Annotation process | |
| Varies per language dataset | |
| #### Who are the annotators? | |
| Varies per language dataset; native speakers | |
| ### 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. The data could be used to develop and propagate offensive language against every target group involved, i.e. ableism, racism, sexism, ageism, and so on. | |
| ### Discussion of Biases | |
| ### Other Known Limitations | |
| ## Additional Information | |
| ### Dataset Curators | |
| The datasets is curated by each sub-part's paper authors. | |
| ### Licensing Information | |
| This data is available and distributed under Creative Commons attribution license, CC-BY 4.0. | |
| ### Citation Information | |
| ``` | |
| @inproceedings{zampieri-etal-2020-semeval, | |
| title = "{S}em{E}val-2020 Task 12: Multilingual Offensive Language Identification in Social Media ({O}ffens{E}val 2020)", | |
| author = {Zampieri, Marcos and | |
| Nakov, Preslav and | |
| Rosenthal, Sara and | |
| Atanasova, Pepa and | |
| Karadzhov, Georgi and | |
| Mubarak, Hamdy and | |
| Derczynski, Leon and | |
| Pitenis, Zeses and | |
| {\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i}}, | |
| booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation", | |
| month = dec, | |
| year = "2020", | |
| address = "Barcelona (online)", | |
| publisher = "International Committee for Computational Linguistics", | |
| url = "https://aclanthology.org/2020.semeval-1.188", | |
| doi = "10.18653/v1/2020.semeval-1.188", | |
| pages = "1425--1447", | |
| abstract = "We present the results and the main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval-2020). The task included three subtasks corresponding to the hierarchical taxonomy of the OLID schema from OffensEval-2019, and it was offered in five languages: Arabic, Danish, English, Greek, and Turkish. OffensEval-2020 was one of the most popular tasks at SemEval-2020, attracting a large number of participants across all subtasks and languages: a total of 528 teams signed up to participate in the task, 145 teams submitted official runs on the test data, and 70 teams submitted system description papers.", | |
| } | |
| ``` | |
| ### Contributions | |
| Author-added dataset [@leondz](https://github.com/leondz) | |