I am trying to run wsj recipe using ./run.sh but I get the following error:
Stage 0: Data Preparation
ln: failed to create symbolic link 'links/??-?.?': File exists
ln: failed to create symbolic link 'links/??-??.?': File exists
wsj_data_prep.sh: Spot check of command line arguments failed
Command line arguments must be absolute pathnames to WSJ directories
with names like 11-13.1.
Note: if you have old-style WSJ distribution,
local/cstr_wsj_data_prep.sh may work instead, see run.sh for example.
Code
./run.sh
What have you tried?
I don't see cstr_wsj_data_prep.sh in local directory of wsj directory.
!ls local/cstr_wsj_data_prep.sh
ls: cannot access 'local/cstr_wsj_data_prep.sh': No such file or directory
What's your environment?
fairseq Version (e.g., 1.0 or master): 1.0
PyTorch Version (e.g., 1.0): 1.7.0+cu101
OS (e.g., Linux): Google Colab (Linux)
How you installed fairseq (pip, source): pip install --editable . in espresso source code
Build command you used (if compiling from source): To install Espresso commands in readme
Python version: 3.6
CUDA/cuDNN version: Not using GPU now
GPU models and configuration: Not using GPU now, my problem is in downloading dataset stage
Any other relevant information: I am using source code from master branch
What is your question?
I am trying to run wsj recipe using
./run.sh
but I get the following error:Code
What have you tried?
I don't see
cstr_wsj_data_prep.sh
in local directory of wsj directory.What's your environment?
pip
, source):pip install --editable .
in espresso source code