Datasets:
Tasks:
Text Classification
Sub-tasks:
intent-classification
Languages:
Polish
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
| annotations_creators: | |
| - found | |
| language_creators: | |
| - found | |
| language: | |
| - pl | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - intent-classification | |
| pretty_name: Poleval 2019 cyberbullying | |
| dataset_info: | |
| - config_name: task01 | |
| features: | |
| - name: text | |
| dtype: string | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': '0' | |
| '1': '1' | |
| splits: | |
| - name: train | |
| num_bytes: 1104322 | |
| num_examples: 10041 | |
| - name: test | |
| num_bytes: 109681 | |
| num_examples: 1000 | |
| download_size: 410001 | |
| dataset_size: 1214003 | |
| - config_name: task02 | |
| features: | |
| - name: text | |
| dtype: string | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': '0' | |
| '1': '1' | |
| '2': '2' | |
| splits: | |
| - name: train | |
| num_bytes: 1104322 | |
| num_examples: 10041 | |
| - name: test | |
| num_bytes: 109681 | |
| num_examples: 1000 | |
| download_size: 410147 | |
| dataset_size: 1214003 | |
| # Dataset Card for Poleval 2019 cyberbullying | |
| ## 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:** http://2019.poleval.pl/index.php/tasks/task6 | |
| - **Repository:** | |
| - **Paper:** | |
| - **Leaderboard:** | |
| - **Point of Contact:** | |
| ### Dataset Summary | |
| Task 6-1: Harmful vs non-harmful | |
| In this task, the participants are to distinguish between normal/non-harmful tweets (class: 0) and tweets that contain any kind of harmful | |
| information (class: 1). This includes cyberbullying, hate speech and related phenomena. The data for the task is available now and can be | |
| downloaded from the link provided below. | |
| Task 6-2: Type of harmfulness | |
| In this task, the participants shall distinguish between three classes of tweets: 0 (non-harmful), 1 (cyberbullying), 2 (hate-speech). There | |
| are various definitions of both cyberbullying and hate-speech, some of them even putting those two phenomena in the same group. The specific | |
| conditions on which we based our annotations for both cyberbullying and hate-speech, which have been worked out during ten years of research | |
| will be summarized in an introductory paper for the task, however, the main and definitive condition to distinguish the two is whether the | |
| harmful action is addressed towards a private person(s) (cyberbullying), or a public person/entity/large group (hate-speech). | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed] | |
| ### Languages | |
| Polish | |
| ## Dataset Structure | |
| ### Data Instances | |
| [More Information Needed] | |
| ### Data Fields | |
| - text: the provided tweet | |
| - label: for task 6-1 the label can be 0 (non-harmful) or 1 (harmful) | |
| for task 6-2 the label can be 0 (non-harmful), 1 (cyberbullying) or 2 (hate-speech) | |
| ### Data Splits | |
| Train and Test | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### 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 | |
| ``` | |
| @proceedings{ogr:kob:19:poleval, | |
| editor = {Maciej Ogrodniczuk and Łukasz Kobyliński}, | |
| title = {{Proceedings of the PolEval 2019 Workshop}}, | |
| year = {2019}, | |
| address = {Warsaw, Poland}, | |
| publisher = {Institute of Computer Science, Polish Academy of Sciences}, | |
| url = {http://2019.poleval.pl/files/poleval2019.pdf}, | |
| isbn = "978-83-63159-28-3"} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@czabo](https://github.com/czabo) for adding this dataset. |