This repository contains the data as well as the scripts for SubTask A of the Semeval 2019 Task 9 competition.
You can access the Codalab competition here: https://competitions.codalab.org/competitions/19955
Discussions and questions regarding this competition can be found here: https://groups.google.com/d/forum/semeval-2019-task-9
You can download or clone this repository to retrieve all required information.
- Filename_Training.csv contains the training data.
- Filename_Test.csv contains the test data which is required to evaluate your results on Codalab. You can also use this dataset as the validation dataset for your final semeval submission. It is structured in the three columns "id, sentence, prediction" whereby prediction is set as "X". Your task is to replace all X with the respective prediction for each sentence.
Please use the most recent versions for submissions.
Python 2.7 is required to run the evaluation_script.py
All resources provided in this repository are licensed under the Creative Commons Attribution-Non-Commercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license [1].
[1] https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode