Romanian-sub-dialect-identification

Machine Learning Project

Overview

In the Romanian Dialect Identification (RDI) shared task, participants have to train a model on tweets. Therefore, participants have to build a model for a in-genre binary classification by dialect task, in which a classification model is required to discriminate between the Moldavian (MD) and the Romanian (RO) dialects.

Task

Participants have to train a model on tweets. Therefore, participants have to build a model for a in-genre binary classification by dialect task, in which a classification model is required to discriminate between the Moldavian (label 0) and the Romanian (label 1) dialects.

File Descriptions

• train_samples.txt - the training data samples (one sample per row)
• train_labels.txt - the training labels (one label per row)
• validation_samples.txt - the validation data samples (one sample per row)
• validation_labels.txt - the validation labels (one label per row)
• test_samples.txt - the test data samples (one sample per row)
• sample_submission.txt - a sample submission file in the correct format (but the final sample_sumbission need to be .csv format)