Hi,
I’am new to Prodigy. The following error is given by Prodigy when I want to add a new entity type to the dutch model:
17:28:57 - Exception when serving /get_questions
Traceback (most recent call last):
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/waitress/channel.py", line 338, in service
task.service()
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/waitress/task.py", line 169, in service
self.execute()
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/waitress/task.py", line 399, in execute
app_iter = self.channel.server.application(env, start_response)
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/hug/api.py", line 424, in api_auto_instantiate
return module.__hug_wsgi__(*args, **kwargs)
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/falcon/api.py", line 244, in __call__
responder(req, resp, **params)
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/hug/interface.py", line 734, in __call__
raise exception
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/hug/interface.py", line 709, in __call__
self.render_content(self.call_function(input_parameters), request, response, **kwargs)
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/hug/interface.py", line 649, in call_function
return self.interface(**parameters)
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/hug/interface.py", line 100, in __call__
return __hug_internal_self._function(*args, **kwargs)
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/prodigy/app.py", line 82, in get_questions
tasks = controller.get_questions()
File "cython_src/prodigy/core.pyx", line 87, in prodigy.core.Controller.get_questions
File "cython_src/prodigy/core.pyx", line 71, in iter_tasks
File "cython_src/prodigy/components/sorters.pyx", line 136, in __iter__
File "cython_src/prodigy/components/sorters.pyx", line 51, in genexpr
File "cython_src/prodigy/util.pyx", line 270, in predict
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/toolz/itertoolz.py", line 716, in partition_all
prev = next(it)
File "cython_src/prodigy/components/preprocess.pyx", line 36, in split_sentences
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/spacy/language.py", line 554, in pipe
for doc, context in izip(docs, contexts):
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/spacy/language.py", line 578, in pipe
for doc in docs:
File "nn_parser.pyx", line 367, in pipe
File "cytoolz/itertoolz.pyx", line 1046, in cytoolz.itertoolz.partition_all.__next__ (cytoolz/itertoolz.c:14538)
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/spacy/language.py", line 752, in _pipe
for doc in docs:
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/spacy/language.py", line 557, in <genexpr>
docs = (self.make_doc(text) for text in texts)
File "/home/bart/anaconda3/envs/lab/lib/python3.6/site-packages/spacy/language.py", line 550, in <genexpr>
texts = (tc[0] for tc in text_context1)
File "cython_src/prodigy/components/preprocess.pyx", line 35, in genexpr
KeyError: 'text'
The command I used on Ubuntu is:
prodigy ner.teach sentence nl_core_news_sm sentences.csv --patterns patterns_soft.jsonl --label SOFTWARE
I attached small set with training data. Please advice.
sentences.jsonl (20.1 KB)
). In your data, the key is 