When i run with
python3 run_sluice_net.py --dynet-autobatch 1 --dynet-seed 123
--task-names pos ner --h-layers 3 --pred-layer 3 3
--cross-stitch --layer-connect stitch
--num-subspaces 2 --constraint-weight 0.1
--constrain-matrices 1 2 --patience 3
--train-dir conll-formatted-ontonotes-5.0/data/train
--dev-dir conll-formatted-ontonotes-5.0/data/development
--test-dir conll-formatted-ontonotes-5.0/data/test
--train bc --test bn mz nw wb
--model-dir model/pos_3__ner_3bc_mz --log-dir logs
I get the error

Reading training data from conll-formatted-ontonotes-5.0/data/train...
Traceback (most recent call last):
File "run_sluice_net.py", line 231, in
main(args)
File "run_sluice_net.py", line 119, in main
train_dir=args.train_dir, dev_dir=args.dev_dir)
File "/Users/uday.kamath/sluice-networks-master/sluice_net.py", line 264, in fit
[train_domain], self.task_names, data_dir=train_dir, train=True)
File "/Users/uday.kamath/sluice-networks-master/utils.py", line 319, in get_data
'%s.' % domain)
AssertionError: No data read for bc.

Error:
Output layers: 2

Training model with sgd for 30 epochs and patience of 3.

Training epoch 1/30...Traceback (most recent call last):
File "run_sluice_net.py", line 231, in
main(args)
File "run_sluice_net.py", line 119, in main
train_dir=args.train_dir, dev_dir=args.dev_dir)
File "/home/ant/multitask/sluice-networks/sluice_net.py", line 319, in fit
output, penalty = self.predict(features, task, train=True)
File "/home/ant/multitask/sluice-networks/sluice_net.py", line 408, in predict
penalty = dynet.parameter(self.subspace_penalty, update=False)
TypeError: parameter() got an unexpected keyword argument 'update'

Duplicate (see closed issues).
The reason is that different format of the dataset is used. If you have the same issue check that you have files ending '*.gold_conll'. If you don't search again for the 'correct' dataset.

After solving the TypeError: parameter() got an unexpected keyword argument 'update'
with the following modification:
- penalty = dynet.parameter(self.subspace_penalty, update=False)
+ print ("self.subspace_penalty", self.subspace_penalty)
I have yet another error:
Training epoch 1/30...task_name pos
output_expected_at_layer 2
self.subspace_penalty <_dynet.Parameters object at 0x7fbaf3d664c8>
len(lstm_parameters) 3
W_shape (400, 100)
W_shape (400,)
Traceback (most recent call last):
File "run_sluice_net.py", line 231, in
main(args)
File "run_sluice_net.py", line 119, in main
train_dir=args.train_dir, dev_dir=args.dev_dir)
File "/home/ant/multitask/sluice-networks/sluice_net.py", line 319, in fit
output, penalty = self.predict(features, task, train=True)
File "/home/ant/multitask/sluice-networks/sluice_net.py", line 446, in predict
self.num_subspaces), W_shape[1]))
IndexError: tuple index out of range

I really appreciate your contribution of relevant knowledge. I have benefited a lot. But the data seems to have expired. Could you please provide a new one? Thank you very much.