instruction:
In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.
question:
In target data, the code is written in Python programming language. 
 Question: What programming language is target language?
answer:
Python


question:
 Last, we evaluate our approaches in 9 commonly used text classification datasets. We evaluate our methods on several commonly used datasets whose themes range from sentiment, web-page, science to medical and healthcare. 
 Question: What NLP tasks do they consider?
answer:
text classification for themes including sentiment, web-page, science, medical and healthcare


question:
Our main contributions are (1) the publication of Turkish corpus for coarse-grained and fine-grained NER, and TC research, (2) six different versions of corpus according to noise reduction methodology and entity types, (3) an analysis of the corpus and (4) benchmark comparisons for NER and TC tasks against human annotators.  
 Question: Did they experiment with the dataset on some tasks?
answer:

Yes