| | --- |
| | annotations_creators: |
| | - found |
| | language_creators: |
| | - found |
| | language: |
| | - tr |
| | license: |
| | - cc-by-2.0 |
| | multilinguality: |
| | - monolingual |
| | size_categories: |
| | - 10K<n<100K |
| | source_datasets: |
| | - original |
| | task_categories: |
| | - text-classification |
| | task_ids: [] |
| | pretty_name: OffensEval-TR 2020 |
| | tags: |
| | - offensive-language-classification |
| | dataset_info: |
| | features: |
| | - name: id |
| | dtype: int32 |
| | - name: tweet |
| | dtype: string |
| | - name: subtask_a |
| | dtype: |
| | class_label: |
| | names: |
| | '0': NOT |
| | '1': 'OFF' |
| | config_name: offenseval2020-turkish |
| | splits: |
| | - name: train |
| | num_bytes: 4260505 |
| | num_examples: 31756 |
| | - name: test |
| | num_bytes: 481300 |
| | num_examples: 3528 |
| | download_size: 2048258 |
| | dataset_size: 4741805 |
| | --- |
| | |
| | # Dataset Card for OffensEval-TR 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:** [offensive-turkish](https://coltekin.github.io/offensive-turkish/) |
| | - **Paper:** [A Corpus of Turkish Offensive Language on Social Media](https://coltekin.github.io/offensive-turkish/troff.pdf) |
| | - **Point of Contact:** [Çağrı Çöltekin](ccoltekin@sfs.uni-tuebingen.de) |
| |
|
| | ### Dataset Summary |
| |
|
| | The file offenseval-tr-training-v1.tsv contains 31,756 annotated tweets. |
| |
|
| | The file offenseval-annotation.txt contains a short summary of the annotation guidelines. |
| |
|
| | Twitter user mentions were substituted by @USER and URLs have been substitute by URL. |
| |
|
| | Each instance contains up to 1 labels corresponding to one of the following sub-task: |
| |
|
| | - Sub-task A: Offensive language identification; |
| |
|
| | ### Supported Tasks and Leaderboards |
| |
|
| | The dataset was published on this [paper](https://coltekin.github.io/offensive-turkish/troff.pdf). |
| |
|
| | ### Languages |
| |
|
| | The dataset is based on Turkish. |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| |
|
| | A binary dataset with with (NOT) Not Offensive and (OFF) Offensive tweets. |
| |
|
| | ### Data Fields |
| |
|
| | Instances are included in TSV format as follows: |
| |
|
| | ID INSTANCE SUBA |
| |
|
| | The column names in the file are the following: |
| |
|
| | id tweet subtask_a |
| | |
| | The labels used in the annotation are listed below. |
| | |
| | #### Task and Labels |
| | |
| | (A) Sub-task A: Offensive language identification |
| | |
| | - (NOT) Not Offensive - This post does not contain offense or profanity. |
| | - (OFF) Offensive - This post contains offensive language or a targeted (veiled or direct) offense |
| | |
| | In our annotation, we label a post as offensive (OFF) if it contains any form of non-acceptable language (profanity) or a targeted offense, which can be veiled or direct. |
| | |
| | ### Data Splits |
| | |
| | | train | test | |
| | |------:|-----:| |
| | | 31756 | 3528 | |
| | |
| | ## 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? |
| | |
| | From tweeter. |
| | |
| | ### Annotations |
| | |
| | [More Information Needed] |
| | |
| | #### Annotation process |
| | |
| | We describe the labels above in a “flat” manner. However, the annotation process we follow is hierarchical. The following QA pairs give a more flowchart-like procedure to follow |
| | |
| | 1. Is the tweet in Turkish and understandable? |
| | * No: mark tweet X for exclusion, and go to next tweet |
| | * Yes: continue to step 2 |
| | 2. Is the tweet include offensive/inappropriate language? |
| | * No: mark the tweet non go to step 4 |
| | * Yes: continue to step 3 |
| | 3. Is the offense in the tweet targeted? |
| | * No: mark the tweet prof go to step 4 |
| | * Yes: chose one (or more) of grp, ind, *oth based on the definitions above. Please try to limit the number of labels unless it is clear that the tweet includes offense against multiple categories. |
| | 4. Was the labeling decision difficult (precise answer needs more context, tweets includes irony, or for another reason)? |
| | * No: go to next tweet |
| | * Yes: add the label X, go to next tweet |
| | |
| | |
| | #### 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 |
| | |
| | The annotations are distributed under the terms of [Creative Commons Attribution License (CC-BY)](https://creativecommons.org/licenses/by/2.0/). Please cite the following paper, if you use this resource. |
| | |
| | ### Citation Information |
| | |
| | ``` |
| | @inproceedings{coltekin2020lrec, |
| | author = {\c{C}\"{o}ltekin, \c{C}a\u{g}r{\i}}, |
| | year = {2020}, |
| | title = {A Corpus of Turkish Offensive Language on Social Media}, |
| | booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, |
| | pages = {6174--6184}, |
| | address = {Marseille, France}, |
| | url = {https://www.aclweb.org/anthology/2020.lrec-1.758}, |
| | } |
| | ``` |
| | |
| | ### Contributions |
| | |
| | Thanks to [@yavuzKomecoglu](https://github.com/yavuzKomecoglu) for adding this dataset. |
