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Fork of the Intelligence and Knowledge Discovery (INK) Research Lab at USC's G-PlanET dataset

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G-PlanET

RoboSense-methods

Installation

Run the folllowing to set up your environment.:

conda create -n robosense python=3.8.19
conda activate robosense 

pip install -r requirements.txt

Repository FileStructure

data: Contains the INK-USC/G-PlanET dataset, and scripts to convert the dataset for huggingface,tapex and iterative training .

script: Includes all the script needed in the main experiment.

evaluation: The proceses needed to run test on the models framework and its code

main: Includes all the code used in the main experiment.

Scripts

  • data_init.sh: - Runs initiaiizing dataset procesing steps.
  • bart_train.sh: Trains the mmodel.
  • bart_test.sh: Evaluates model training, validating the model against test data.
  • bart_iter_test.sh: Runs a test on the model with iterative self-training.
  • bart_table_iter_test.sh: Ealuates model trainig, validating the model against iterative training table.
  • tapex_train.sh: Trains and evaluates tapex model
  • tapex_test.sh: Tests tapex model, validating against test data.

NOTE: Check and fill in your data path and model path in the scripts before execution

Models used: facebook/bart-base and facebook/bart-large. All models can be found on the HuggingFace Hub.

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