New Dataset and OCR variational pipeline

[J-Dymond]

This branch includes:

• src/arc_spice/data/multieurlex_utils.py

  • Here code for loading and preprocessing the MultiEURLEX dataset is located.

• src/arc_spice/variational_pipelines/RTC_variational_pipeline.py

  • Here the variational pipeline is located. It has clean_inference and variational_inference functionality. As well as calculating some confidence metrics on the outputs.

• src/arc_spice/variational_pipelines/dropout_utils.py

  • This file contains some utility functions for performing MC dropout.

• src/arc_spice/eval/classification_error.py and src/arc_spice/eval/translation_error.py

  • These contain some helper functions for calculating errors and uncertainties relating to the two tasks

• scripts/variational_RTC_example.py

  • This is a barebones script with example usage of the variational pipeline.

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