Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
Arabic
Size:
10K<n<100K
License:
| annotations_creators: | |
| - found | |
| language_creators: | |
| - found | |
| language: | |
| - ar | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-classification | |
| pretty_name: Emotional Tone in Arabic | |
| dataset_info: | |
| features: | |
| - name: tweet | |
| dtype: string | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': none | |
| '1': anger | |
| '2': joy | |
| '3': sadness | |
| '4': love | |
| '5': sympathy | |
| '6': surprise | |
| '7': fear | |
| splits: | |
| - name: train | |
| num_bytes: 1541746 | |
| num_examples: 10065 | |
| download_size: 1563138 | |
| dataset_size: 1541746 | |
| # Dataset Card for Emotional Tone in Arabic | |
| ## Table of Contents | |
| - [Dataset Card for Emotional Tone in Arabic](#dataset-card-for-emotional-tone-in-arabic) | |
| - [Table of Contents](#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) | |
| - [|split|num examples|](#splitnum-examples) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) | |
| - [Who are the source language producers?](#who-are-the-source-language-producers) | |
| - [Annotations](#annotations) | |
| - [Annotation process](#annotation-process) | |
| - [Who are the annotators?](#who-are-the-annotators) | |
| - [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 | |
| - **Repository:** [Repository](https://github.com/AmrMehasseb/Emotional-Tone) | |
| - **Paper:** [Emotional Tone Detection in Arabic Tweets](https://www.researchgate.net/publication/328164296_Emotional_Tone_Detection_in_Arabic_Tweets_18th_International_Conference_CICLing_2017_Budapest_Hungary_April_17-23_2017_Revised_Selected_Papers_Part_II) | |
| - **Point of Contact:** [Amr Al-Khatib](https://github.com/AmrMehasseb) | |
| ### Dataset Summary | |
| Dataset of 10065 tweets in Arabic for Emotion detection in Arabic text | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed] | |
| ### Languages | |
| The dataset is based on Arabic. | |
| ## Dataset Structure | |
| ### Data Instances | |
| example: | |
| ``` | |
| >>> {'label': 0, 'tweet': 'ุงูุงูููู ุจูุงุฏ ุงูุฌุงูู ูููู ูุณู ู ุงููููู ..'} | |
| ``` | |
| ### Data Fields | |
| - "tweet": plain text tweet in Arabic | |
| - "label": emotion class label | |
| the dataset distribution and balance for each class looks like the following | |
| |label||Label description | Count | | |
| |---------|---------| ------- | | |
| |0 |none | 1550 | | |
| |1 |anger | 1444 | | |
| |2 |joy | 1281 | | |
| |3 |sadness | 1256 | | |
| |4 |love | 1220 | | |
| |5 |sympathy | 1062 | | |
| |6 |surprise | 1045 | | |
| |7 |fear | 1207 | | |
| ### Data Splits | |
| The dataset is not split. | |
| | | train | | |
| |----------|--------:| | |
| | no split | 10,065 | | |
| ## 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? | |
| [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 | |
| [Needs More Information] | |
| ### Discussion of Biases | |
| [Needs More Information] | |
| ### Other Known Limitations | |
| [Needs More Information] | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed] | |
| ### Licensing Information | |
| [More Information Needed] | |
| ### Citation Information | |
| ``` | |
| @inbook{inbook, | |
| author = {Al-Khatib, Amr and El-Beltagy, Samhaa}, | |
| year = {2018}, | |
| month = {01}, | |
| pages = {105-114}, | |
| title = {Emotional Tone Detection in Arabic Tweets: 18th International Conference, CICLing 2017, Budapest, Hungary, April 17โ23, 2017, Revised Selected Papers, Part II}, | |
| isbn = {978-3-319-77115-1}, | |
| doi = {10.1007/978-3-319-77116-8_8} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@abdulelahsm](https://github.com/abdulelahsm) for adding this dataset. |