add metadata

README.md

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+---
+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) 

dataset_infos.json

@@ -0,0 +1 @@
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