| from __future__ import annotations |
|
|
| from mteb.abstasks import AbsTaskClassification |
| from mteb.abstasks.TaskMetadata import TaskMetadata |
|
|
|
|
| class AJGT(AbsTaskClassification): |
| metadata = TaskMetadata( |
| name="AJGT", |
| dataset={ |
| "path": "komari6/ajgt_twitter_ar", |
| "revision": "af3f2fa5462ac461b696cb300d66e07ad366057f", |
| }, |
| description="Arabic Jordanian General Tweets (AJGT) Corpus consisted of 1,800 tweets annotated as positive and negative. Modern Standard Arabic (MSA) or Jordanian dialect.", |
| reference="https://link.springer.com/chapter/10.1007/978-3-319-60042-0_66/", |
| type="Classification", |
| category="s2s", |
| eval_splits=["train"], |
| eval_langs=["ara-Arab"], |
| main_score="accuracy", |
| date=("2021-01-01", "2022-01-25"), |
| form=["written"], |
| domains=["Social"], |
| task_subtypes=["Sentiment/Hate speech"], |
| license="AFL", |
| socioeconomic_status="mixed", |
| annotations_creators="human-annotated", |
| dialect=["ara-arab-MSA", "ara-arab-JO"], |
| text_creation="found", |
| bibtex_citation=""" |
| @inproceedings{alomari2017arabic, |
| title={Arabic tweets sentimental analysis using machine learning}, |
| author={Alomari, Khaled Mohammad and ElSherif, Hatem M and Shaalan, Khaled}, |
| booktitle={International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems}, |
| pages={602--610}, |
| year={2017}, |
| organization={Springer} |
| } |
| """, |
| n_samples={"train": 1800}, |
| avg_character_length={"train": 46.81}, |
| ) |
|
|
