lucapton / iclabel-dataset Goto Github PK

Hi! I'm working on my master thesis and trying to use your ICA labeled data to train my model to detect artifacts.
I keep getting 500 Error:
Downloading individual ICLabel training set CL label files...
Downloading label file 0 of 2...
HTTP Error: 500 https://labeling.ucsd.edu/download/ICLabels_experts.pkl
Downloading label file 1 of 2...
Done.
Loading full dataset...

and cant open features dataset:
`---------------------------------------------------------------------------
IOError Traceback (most recent call last)
in ()
----> 1 icl.load_data()

/Users/ivkitov/univer/diploma/diploma_code/data/ICLabel-Dataset/icldata.py in load_data(self)
954 self.check_for_download('train_features')
955 # topo maps, old psd, dipole, and handcrafted
--> 956 with h5py.File(join(self.datapath, 'features', 'features_0D1D2D.mat'), 'r') as f:
957 print('Loading 0D1D2D features...')
958 features.append(np.asarray(f['features']).T)

/Users/ivkitov/anaconda3/envs/python2Env/lib/python2.7/site-packages/h5py/_hl/files.pyc in init(self, name, mode, driver, libver, userblock_size, swmr, rdcc_nslots, rdcc_nbytes, rdcc_w0, track_order, **kwds)
406 fid = make_fid(name, mode, userblock_size,
407 fapl, fcpl=make_fcpl(track_order=track_order),
--> 408 swmr=swmr)
409
410 if isinstance(libver, tuple):

/Users/ivkitov/anaconda3/envs/python2Env/lib/python2.7/site-packages/h5py/_hl/files.pyc in make_fid(name, mode, userblock_size, fapl, fcpl, swmr)
171 if swmr and swmr_support:
172 flags |= h5f.ACC_SWMR_READ
--> 173 fid = h5f.open(name, flags, fapl=fapl)
174 elif mode == 'r+':
175 fid = h5f.open(name, h5f.ACC_RDWR, fapl=fapl)

h5py/_objects.pyx in h5py._objects.with_phil.wrapper()

h5py/_objects.pyx in h5py._objects.with_phil.wrapper()

h5py/h5f.pyx in h5py.h5f.open()

IOError: Unable to open file (truncated file: eof = 6178545152, sblock->base_addr = 512, stored_eof = 14419006177)`

Can you help me please?

Idr if this was asked before but do you have access to the raw EEG data used to generate the features? Or the ICA time series?

Is the original time series data in the ICLabel dataset as well? If not, is there a place I could access it?