can u provide a sample dataset?

Please can anybody help to resolve this issue....

Hi,
I have queries regarding testing the model.could you please help with testing the below sentence
Ex: Narendra Modi is the 15th prime minister of India from 26 May 2014 to 26 May 2019.

In which format should the above sentence be given to model.predict.It would be really helpful if you could share the snippet for testing the above sentence. @Akshayc1

Hi,
I read your code at NER using CRF.ipynb and I have a question about using sent2features at test_data.
Is it appropriate to use sent2features at test_data ? At sent2features it seems that you are giving test_data a data we should not know (POS tag of previous and continuing word). Rather than giving the gold data of POS tags, I think that the model should use their own prediction result.
Although most of the pos tagging CRF tutorials does it the same way, I want to ask your opinion and whether it is possible to implement it.
Thank you in advance

while fiting the data and label it throws value error Shapes (None, 75) and (None, 75, 2) are incompatible, seems CRF changes the dimension .

In file NER using Bidirectional LSTM - CRF .ipynb
Refer code block no. 31 & 32.

The for loop is looping on the list 'sentences' which is making it split down to characters.

Instead if we loop on the list 'sent' & then 'sentences' we will be able to access the word, pos & tag. Attaching debugging steps:

Final solution: