You will work with the data from SemEval-2019 Task 9 subtask A to classify whether a piece of text contains a suggestion or not.

## Files

*   **train.csv** - the training set
*   **dev.csv** - the test set
*   **test_no_label.csv** - the test set

*   **sample_submission.csv** - a sample submission file in the correct format
## Columns

*   `id` - unique identifier for each sample
*   `text` - text for each sample
*   `label` - label for each sample (1 means suggestion and 0 is not)