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scripts.sh
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# ========================================
# simulation experiments
# ========================================
# step 1. generate random matrices
python experiments_simulation.py --step 1 --data-root <DATA_PATH>
# step 2. get results
python experiments_simulation.py --step 2
# ========================================
# ultra fine entity typing
# ========================================
python experiments_text.py \
--dataset ultrafine_entity_typing \
--data-root=<DATA_PATH> --model-type denoise
python experiments_text.py \
--dataset ultrafine_entity_typing --data-root=<DATA_PATH>
# ========================================
# relation extraction
# ========================================
python experiments_text.py \
--dataset dialogue_re --data-root=<DATA_PATH>
python experiments_text.py \
--dataset tacred --data-root=<DATA_PATH>
# ========================================
# imagenet experiments
# ========================================
# step 1: prepare the imagenet logits and targets for training and val set
python prepare_imagenet.py --out-dir <OUT_DIR> --data-root=<DATA_PATH>
# step 2: get results
python experiments_visual.py --dataset imagenet