# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

###
 # This script evaluates faithfulness of the results generated by our models
###

TASK=senti
if [[ $TASK == "mrc" ]]; then
    MODELS=("roberta_base" "roberta_large")
    MODES=("attention" "integrated_gradient")
else
    MODELS=("lstm" "roberta_base" "roberta_large")
    MODES=("attention" "integrated_gradient" "lime")
fi

for BASE_MODEL in ${MODELS[*]};
do
    for INTER_MODE in ${MODES[*]};
    do
        for LANGUAGE in "ch" "en";
        do
            GOLDEN_PATH=../golden/${TASK}_${LANGUAGE}.tsv
            PRED_PATH=../../rationale_extraction/evaluation_data/${TASK}/${BASE_MODEL}_${INTER_MODE}_${LANGUAGE}

            echo ${BASE_MODEL}_${INTER_MODE}_${LANGUAGE}

            python3 ./newp_analysis.py \
                --pred_path $PRED_PATH \
                --golden_path $GOLDEN_PATH
        done
    done
done