#!/bin/bash

SOURCE_DIR=../../data/unified 
TARGET_DIR=../../data/seq

if [ ! -d "${TARGET_DIR}" ]; then
    mkdir -p ${TARGET_DIR}
fi

# DSTC 2
python DST.py ${SOURCE_DIR}/DSTC2 ${TARGET_DIR}/DST-DSTC2
# sim-M
python DST.py ${SOURCE_DIR}/sim-M ${TARGET_DIR}/DST-sim-M
# sim-R
python DST.py ${SOURCE_DIR}/sim-R ${TARGET_DIR}/DST-sim-R
# MultiWOZ 2.2
python DST.py ${SOURCE_DIR}/MultiWOZ_2.2 ${TARGET_DIR}/DST-MultiWOZ_2.2
# SGD
python DST.py ${SOURCE_DIR}/SGD ${TARGET_DIR}/DST-SGD
# MultiWOZ 2.1
python DST.py ${SOURCE_DIR}/MultiWOZ_2.1 ${TARGET_DIR}/DST-MultiWOZ_2.1


# Spider
python T2S.py ${SOURCE_DIR}/Spider ${TARGET_DIR}/T2S-Spider
# SParC
python T2S.py ${SOURCE_DIR}/SParC ${TARGET_DIR}/T2S-SParC
# CoSQL
python T2S.py ${SOURCE_DIR}/CoSQL ${TARGET_DIR}/T2S-CoSQL


# MultiDoGo
for domain in `ls ${SOURCE_DIR}/MultiDoGo`; do
    python SF.py ${SOURCE_DIR}/MultiDoGo/${domain} ${TARGET_DIR}/SF-MultiDoGo-${domain}
done
# Restaurant8k
python SF.py ${SOURCE_DIR}/Restaurant8k ${TARGET_DIR}/SF-Restaurant8k
# SNIPS
for domain in `ls ${SOURCE_DIR}/SNIPS`; do
    python SF.py ${SOURCE_DIR}/SNIPS/${domain} ${TARGET_DIR}/SF-SNIPS-${domain}
done


# DDRel
python RRR.py ${SOURCE_DIR}/DDRel ${TARGET_DIR}/RRR-DDRel


# CamRest676
python QCR.py ${SOURCE_DIR}/CamRest676 ${TARGET_DIR}/QCR-CamRest676
# CANARD
python QCR.py ${SOURCE_DIR}/CANARD ${TARGET_DIR}/QCR-CANARD "knowledge"


# AlphaNLI
python NLI.py ${SOURCE_DIR}/AlphaNLI ${TARGET_DIR}/NLI-AlphaNLI


# CoQA
python MRC.py ${SOURCE_DIR}/CoQA ${TARGET_DIR}/MRC-CoQA
# DoQA
python MRC.py ${SOURCE_DIR}/DoQA ${TARGET_DIR}/MRC-DoQA
# FriendsQA
python MRC.py ${SOURCE_DIR}/FriendsQA ${TARGET_DIR}/MRC-FriendsQA
# Molweni
python MRC.py ${SOURCE_DIR}/Molweni ${TARGET_DIR}/MRC-Molweni
# QuAC
python MRC.py ${SOURCE_DIR}/QuAC ${TARGET_DIR}/MRC-QuAC
# SQuAD 2.0
python MRC.py ${SOURCE_DIR}/SQuAD_2.0 ${TARGET_DIR}/MRC-SQuAD_2.0


# CommonsenseQA
python MCQA.py ${SOURCE_DIR}/CommonsenseQA ${TARGET_DIR}/MCQA-CommonsenseQA
# CommonsenseQA 2.0
python MCQA.py ${SOURCE_DIR}/CommonsenseQA_2.0 ${TARGET_DIR}/MCQA-CommonsenseQA_2.0
# CosmosQA
python MCQA.py ${SOURCE_DIR}/CosmosQA ${TARGET_DIR}/MCQA-CosmosQA
# DREAM
python MCQA.py ${SOURCE_DIR}/DREAM ${TARGET_DIR}/MCQA-DREAM
# MuTual
python MCQA.py ${SOURCE_DIR}/MuTual/mutual ${TARGET_DIR}/MCQA-Mutual
# MuTual-plus
python MCQA.py ${SOURCE_DIR}/MuTual/mutual_plus ${TARGET_DIR}/MCQA-Mutual-plus
# RACE
python MCQA.py ${SOURCE_DIR}/RACE/high ${TARGET_DIR}/MCQA-RACE-high
python MCQA.py ${SOURCE_DIR}/RACE/middle ${TARGET_DIR}/MCQA-RACE-middle
# PCMD
python MCQA.py ${SOURCE_DIR}/PCMD ${TARGET_DIR}/MCQA-PCMD
# SocialIQA
python MCQA.py ${SOURCE_DIR}/SocialIQA ${TARGET_DIR}/MCQA-SocialIQA


# DialogSum
python DS.py ${SOURCE_DIR}/DialogSum ${TARGET_DIR}/DS-DialogSum
# SAMSum
python DS.py ${SOURCE_DIR}/SAMSum ${TARGET_DIR}/DS-SAMSum


# CMUDoG
python DCRG.py ${SOURCE_DIR}/CMUDoG ${TARGET_DIR}/DCRG-CMUDoG "turn-document"
# CommonsenseDialog
python DCRG.py ${SOURCE_DIR}/CommonsenseDialog ${TARGET_DIR}/DCRG-CommonsenseDialog "document"
# EmpathicDialogue
python DCRG.py ${SOURCE_DIR}/EmpathicDialogue ${TARGET_DIR}/DCRG-EmpathicDialogue "document"
# NarrativeQA
python DCRG.py ${SOURCE_DIR}/NarrativeQA ${TARGET_DIR}/DCRG-NarrativeQA "document" multi-ref
# Soccer
python DCRG.py ${SOURCE_DIR}/Soccer ${TARGET_DIR}/DCRG-Soccer "kg"
# Incar
python DCRG.py ${SOURCE_DIR}/Incar ${TARGET_DIR}/DCRG-Incar "kg"
# CornellMovie
python DCRG.py ${SOURCE_DIR}/CornellMovie ${TARGET_DIR}/DCRG-CornellMovie "None"


# DailyDialog
python ER.py ${SOURCE_DIR}/DailyDialog ${TARGET_DIR}/ER-DailyDialog
# EmoryNLP
python ER.py ${SOURCE_DIR}/EmoryNLP ${TARGET_DIR}/ER-EmoryNLP
# GoEmotions
python ER.py ${SOURCE_DIR}/GoEmotions ${TARGET_DIR}/ER-GoEmotions
# MELD
python ER.py ${SOURCE_DIR}/MELD ${TARGET_DIR}/ER-MELD
# IEMOCAP
python ER.py ${SOURCE_DIR}/IEMOCAP ${TARGET_DIR}/ER-IEMOCAP


# Banking77
python ID.py ${SOURCE_DIR}/Banking77 ${TARGET_DIR}/ID-Banking77
# CLINC150
python ID.py ${SOURCE_DIR}/CLINC150 ${TARGET_DIR}/ID-CLINC150
# HWU64
python ID.py ${SOURCE_DIR}/HWU64 ${TARGET_DIR}/ID-HWU64


# E2E
python DT.py ${SOURCE_DIR}/E2E ${TARGET_DIR}/DT-E2E
# RNNLG
for domain in `ls ${SOURCE_DIR}/RNNLG`; do
    python DT.py ${SOURCE_DIR}/RNNLG/${domain} ${TARGET_DIR}/DT-RNNLG-${domain}
done


# PERSONA-CHAT
for dataset in `ls ${SOURCE_DIR}/PERSONA-CHAT`; do
    python CC.py ${SOURCE_DIR}/PERSONA-CHAT/${dataset} ${TARGET_DIR}/CC-PERSONA-CHAT-${dataset}
done


# ENLP
python CI.py ${SOURCE_DIR}/ENLP ${TARGET_DIR}/CI-ENLP


# ASTE
for domain in `ls ${SOURCE_DIR}/ASTE`; do
    python ABSA.py ${SOURCE_DIR}/ASTE/${domain} ${TARGET_DIR}/ABSA-ASTE-${domain}
done
# MAMS-ACSA
python ABSA.py ${SOURCE_DIR}/MAMS-ACSA ${TARGET_DIR}/ABSA-MAMS-ACSA
# MAMS-ATSA
python ABSA.py ${SOURCE_DIR}/MAMS-ATSA ${TARGET_DIR}/ABSA-MAMS-ATSA
# Twitter
python ABSA.py ${SOURCE_DIR}/Twitter ${TARGET_DIR}/ABSA-Twitter