Failed to find HDF5 dataset data - deep-learning

Question

I am quite new in caffe and in deep learning. I want to train my model using the dataset that downloaded from here.
My train data has hdf5 format. It also has following parameters.
{
"debug": false,
"git_revision": "60c477dae59f3d1378568e2ebea054a135683e2f",
"height": 128,
"no_train_mirrors": false,
"output_dir": "/tmp/parse27k_crops_64x128",
"output_mode": "hdf5",
"padding": 32,
"padding_mode": "edge",
"parse_path": "/fast_work/sudowe/parse27k",
"single_threaded": false,
"verbose": false,
"width": 64
}
I have following data layer in my train model.
layer {
name: "data"
type: "HDF5Data"
top: "data"
top: "label"
hdf5_data_param {
source: "path_to_caffe/caffe/examples/hdf5_classification/data/train.txt"
batch_size: 10
}
include {
phase: TRAIN
}
}
I am getting following error message when i am trying to train my train.hdf5 data which is mentioned in train.txt file.
I1031 11:52:10.185920 8670 layer_factory.hpp:77] Creating layer data
I1031 11:52:10.185933 8670 net.cpp:100] Creating Layer data
I1031 11:52:10.185940 8670 net.cpp:408] data -> data
I1031 11:52:10.185957 8670 net.cpp:408] data -> label
I1031 11:52:10.185971 8670 hdf5_data_layer.cpp:79] Loading list of HDF5 filenames from: path_to_caffe/caffe/examples/hdf5_classification/data/train.txt
I1031 11:52:10.186003 8670 hdf5_data_layer.cpp:93] Number of HDF5 files: 2
F1031 11:52:10.186825 8670 hdf5.cpp:14] Check failed: H5LTfind_dataset(file_id, dataset_name_) Failed to find HDF5 dataset data
*** Check failure stack trace: ***
# 0x7f231a6a1daa (unknown)
# 0x7f231a6a1ce4 (unknown)
# 0x7f231a6a16e6 (unknown)
# 0x7f231a6a4687 (unknown)
# 0x7f231acca607 caffe::hdf5_load_nd_dataset_helper<>()
# 0x7f231acc93d5 caffe::hdf5_load_nd_dataset<>()
# 0x7f231ad5172e caffe::HDF5DataLayer<>::LoadHDF5FileData()
# 0x7f231ad50548 caffe::HDF5DataLayer<>::LayerSetUp()
# 0x7f231acaf3ac caffe::Net<>::Init()
# 0x7f231acb0235 caffe::Net<>::Net()
# 0x7f231ae0332a caffe::Solver<>::InitTrainNet()
# 0x7f231ae0442c caffe::Solver<>::Init()
# 0x7f231ae0475a caffe::Solver<>::Solver()
# 0x7f231adf8453 caffe::Creator_SGDSolver<>()
# 0x40f0fe caffe::SolverRegistry<>::CreateSolver()
# 0x408134 train()
# 0x405b3c main
# 0x7f23196adf45 (unknown)
# 0x4063ab (unknown)
# (nil) (unknown)
Any kind of help or suggestion will be really appreciated.

Answer 1

In caffe input data layer output blob can be only named after the names of datasets inside of the .hdf5 file.
My dataset has following structure
crops Dataset {27482, 3, 128, 192}
labels Dataset {27482, 12}
mean Dataset {3, 128, 192}
pids Dataset {27482}
By the help of #Shai I solve it like this :
layer {
name: "data"
type: "HDF5Data"
top: "crops"
top: "labels"
include {
phase: TRAIN
}
hdf5_data_param {
source: "path_to_caffe/examples/hdf5_classification/data/train.txt"
batch_size: 64
}
}