MULTITQ is a large-scale dataset featuring ample relevant facts and multiple temporal granularities.
Home Page: https://huggingface.co/datasets/chenziyang/MultiTQ
Hello, I would like to ask why there is an error that the file cannot be found, as shown in the picture. Thank you for your answer.
找不到'entity_positions'、Sequence和SequenceTagger
Thanks for your greate work!
I completely follow with your step.But when I run python ./train_qa_model.py --model multiqa, the console reoport ERROR like this:
Creating new log file
Starting training
0%| | 0/6044 [00:00<?, ?batches/s]
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "C:\Users\L\anaconda3\envs\qtbb\lib\runpy.py", line 265, in run_path
return _run_module_code(code, init_globals, run_name,
File "C:\Users\L\anaconda3\envs\qtbb\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "C:\Users\L\anaconda3\envs\qtbb\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\MultiTQ\MultiQA\train_qa_model.py", line 212, in <module>
train(qa_model, dataset, valid_dataset, args, result_filename=result_filename)
File "D:\MultiTQ\MultiQA\utils.py", line 505, in train
for i_batch, a in enumerate(loader):
File "C:\Users\L\anaconda3\envs\qtbb\lib\site-packages\tqdm\std.py", line 1178, in __iter__
for obj in iterable:
File "C:\Users\L\anaconda3\envs\qtbb\lib\site-packages\torch\utils\data\dataloader.py", line 438, in __iter__
return self._get_iterator()
File "C:\Users\L\anaconda3\envs\qtbb\lib\site-packages\torch\utils\data\dataloader.py", line 386, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\L\anaconda3\envs\qtbb\lib\site-packages\torch\utils\data\dataloader.py", line 1039, in __init__
w.start()
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\popen_spawn_win32.py", line 45, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "C:\Users\L\anaconda3\envs\qtbb\lib\multiprocessing\spawn.py", line 134, in _check_not_importing_main
raise RuntimeError('''
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
x
Process finished with exit code -1
Before this error,I encounter The gbk encoding error, but I solved this error by adding the "encoding=UTF-8" in open() function. I think it's not the main reason cause the RuntimeError(but, the origin code literally produce this problem).
So, how do i resolve this RuntimeError?, Does it's caused by different dependencies version?
Thanks for your answering
Hello, thanks for your great work, could you tell me what are files under data/kg/tkbc_processed_data/ used for?
The Figure 4 in paper described question process.I regard the entity retrieval as obtaining the entity by ner tools from question text.But there is no entity named "Ethiopia" in the question text.It seems like an answer, and I check the code in the coressponding part of question process, It may valid my thought.So, how do i understand this part of question process in paper?
Hi,
This is a very wonderful job you did. When I try to train the embedding by tkbc, the meaning of to_skip list used in ranking method is very confusing.
Can you tell me more detail about that?
Thank you!
In the paper related to this repository, the 4.2 Multi-Granularity Time Aggregation section described generate the Multi-Granularity time.
that says
we first extract all contained daytimestamps d1, d2, ..., dN and their TKG embeddings td1, td2, ..., tdN
How to transform the daytimestamps into TKG embeddings?
the paper method is to extract them(TKG embeddings) from TKG,But if no corresponding d_i representation in the TKG embedding for day timestamps di,what will the paper method do?Will the KGE model generate corresponding d_i representation for day timestamps di?
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