File size: 2,235 Bytes
95456ed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | ##### data paths #####
# TODO adapt your paths to folder that contains the celer and zuco folders
path_to_celer = "/data/lenbol/data/" # e.g., path_to_celer = 'data/' if 'data/celer/...'
path_to_zuco = "/data/lenbol/data/" # e.g., path_to_zuco = 'data/' if 'data/zuco/...'
path_to_emtec = "/data/lenbol/data/" # e.g., path_to_copco = 'data/' if 'data/copco/...'
path_to_bsc = "/data/lenbol/data/" # e.g., path_to_copco = 'data/' if 'data/BSC/...'
PATH_TO_FIX = f"{path_to_celer}CELER/data_v2.0/sent_fix.tsv"
PATH_TO_IA = f"{path_to_celer}CELER/data_v2.0/sent_ia.tsv"
SUB_METADATA_PATH = f"{path_to_celer}/CELER/participant_metadata/metadata.tsv"
PATH_TO_EMTEC_FIX = f"{path_to_emtec}/EMTeC/fixations_corrected.csv"
PATH_TO_EMTEC_STIM = f"{path_to_emtec}/EMTeC/stimuli.csv"
PATH_TO_BSC_WORD = f"{path_to_bsc}/BSC/BSC.Word.Info.v2.xlsx"
PATH_TO_BSC_FIX = f"{path_to_bsc}/BSC/BSC.EMD.txt"
##### model paths #####
# TODO adapt your paths
# training of original ScanDL for modular use with seq2seq fixdur module
SCANDL_MODULE_TRAIN_PATH = ""
SCANDL_MODULE_INF_PATH = ""
# training of the fixation duration module
FIXDUR_MODULE_TRAIN_PATH = ""
FIXDUR_MODULE_INF_PATH = ""
# training and inference of the diffusion-only architecture
DIFFUSION_ONLY_TRAIN_PATH = ""
DIFFUSION_ONLY_INF_PATH = ""
# names for EMTeC
# training of original ScanDL for modular use with seq2seq fixdur module
SCANDL_MODULE_TRAIN_PATH_EMTEC = ""
SCANDL_MODULE_INF_PATH_EMTEC = ""
# training of the fixation duration module
FIXDUR_MODULE_TRAIN_PATH_EMTEC = ""
FIXDUR_MODULE_INF_PATH_EMTEC = ""
# names for BSC
# training of original ScanDL for modular use with seq2seq fixdur module
SCANDL_MODULE_TRAIN_PATH_BSC = ""
SCANDL_MODULE_INF_PATH_BSC = ""
# training of the fixation duration module
FIXDUR_MODULE_TRAIN_PATH_BSC = ""
FIXDUR_MODULE_INF_PATH_BSC = ""
# training of ScanDL 2.0 on all EMTeC data for paragraph-level ScanDL 2.0
COMPLETE_SCANDL_MODULE_TRAIN_PATH_EMTEC = ""
COMPLETE_FIXDUR_MODULE_TRAIN_PATH_EMTEC = ""
# training of ScanDL 2.0 on all CELER data for sentence-level ScanDL 2.0
COMPLETE_SCANDL_MODULE_TRAIN_PATH_CELER = ""
COMPLETE_FIXDUR_MODULE_TRAIN_PATH_CELER = ""
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