failury / aiexplore

Instructions

• Download the data from https://drive.google.com/file/d/1R5K_2PlZ3p3RFQ1Ycgmo3TgxvYBzptQG/view?usp=sharing

• and follow Data section in the report to setup the datafile locations. The file structure would look like this:

ProjectRoot
|   .gitignore
|   main.ipynb
|   Mini Project-1.pdf
|   output.doc
|   README.md
|   
+---.vscode
|       settings.json
|       
+---DAG_ERC_CODE
|   |   dataloader.py
|   |   dataset.py
|   |   evaluate.py
|   |   LICENSE
|   |   model.py
|   |   model_utils.py
|   |   ORIGINAL.md
|   |   run.py
|   |   trainer.py
|   |   utils.py
|   |   
|   +---saved_models
|   |   +---DailyDialog
|   |   +---EmoryNLP
|   |   +---IEMOCAP
|   |   |       logging.log
|   |   |       
|   |   \---MELD
|   \---__pycache__
|           dataloader.cpython-39.pyc
|           dataset.cpython-39.pyc
|           model.cpython-39.pyc
|           model_utils.cpython-39.pyc
|           trainer.cpython-39.pyc
|           utils.cpython-39.pyc
|           
+---data
|   +---DailyDialog
|   |       dev_data_roberta.json.feature
|   |       label_vocab.pkl
|   |       speaker_vocab.pkl
|   |       test_data_roberta.json.feature
|   |       train_data_roberta.json.feature
|   |       
|   +---EmoryNLP
|   |       dev_data_roberta.json.feature
|   |       label_vocab.pkl
|   |       speaker_vocab.pkl
|   |       test_data_roberta.json.feature
|   |       train_data_roberta.json.feature
|   |       
|   +---IEMOCAP
|   |       dev_data_roberta.json.feature
|   |       label_vocab.pkl
|   |       speaker_vocab.pkl
|   |       test_data_roberta.json.feature
|   |       train_data_roberta.json.feature
|   |       
|   \---MELD
|           dev_data_roberta.json.feature
|           label_vocab.pkl
|           speaker_vocab.pkl
|           test_data_roberta.json.feature
|           train_data_roberta.json.feature
|           
\---__pycache__
        dataloader.cpython-39.pyc
        dataset.cpython-39.pyc

• Then run through the cells in main.ipynb