
# Question Answering Model Fine-Tuned with YTU Dataset

You can find detailed explanation about dataset [here](https://github.com/izzetkalic/botcuk-dataset-analyze/tree/main/datasets/qa-ytu).
{"license": "mit", "widget": [{"text": "Ankara'da korumaya al\u0131nm\u0131\u015f alanlar var m\u0131d\u0131r?", "context": "Ankara kara iklimine sahiptir. \u015eehir d\u0131\u015f\u0131ndaki il topraklar\u0131n\u0131n b\u00fcy\u00fck k\u0131sm\u0131 tah\u0131l tarlalar\u0131yla kapl\u0131 platolardan olu\u015fur. \u0130lin \u00e7e\u015fitli yerlerindeki do\u011fal g\u00fczellikler korumaya al\u0131nm\u0131\u015f, dinlenme ve e\u011flence ama\u00e7l\u0131 kullan\u0131ma sunulmu\u015ftur. \u0130lin ad\u0131n\u0131 ta\u015f\u0131yan tav\u015fan\u0131, ke\u00e7isi, at\u0131 ve kedisi d\u00fcnya \u00e7ap\u0131nda bilinir, armudu, \u00e7i\u011fdemi, yerel yemeklerden Ankara tavas\u0131 ve K\u0131z\u0131lcahamam ve Beypazar\u0131'n\u0131n maden suyu ise \u00fclke \u00e7ap\u0131nda tan\u0131n\u0131r.", "example_title": "Ankara 1"}, {"text": "Ankara topraklar\u0131 nelerden olu\u015fur?", "context": "Ankara kara iklimine sahiptir. \u015eehir d\u0131\u015f\u0131ndaki il topraklar\u0131n\u0131n b\u00fcy\u00fck k\u0131sm\u0131 tah\u0131l tarlalar\u0131yla kapl\u0131 platolardan olu\u015fur. \u0130lin \u00e7e\u015fitli yerlerindeki do\u011fal g\u00fczellikler korumaya al\u0131nm\u0131\u015f, dinlenme ve e\u011flence ama\u00e7l\u0131 kullan\u0131ma sunulmu\u015ftur. \u0130lin ad\u0131n\u0131 ta\u015f\u0131yan tav\u015fan\u0131, ke\u00e7isi, at\u0131 ve kedisi d\u00fcnya \u00e7ap\u0131nda bilinir, armudu, \u00e7i\u011fdemi, yerel yemeklerden Ankara tavas\u0131 ve K\u0131z\u0131lcahamam ve Beypazar\u0131'n\u0131n maden suyu ise \u00fclke \u00e7ap\u0131nda tan\u0131n\u0131r.", "example_title": "Ankara 2"}]}
transformers pytorch electra question-answering license:mit endpoints_compatible region:us
TAGS
#transformers #pytorch #electra #question-answering #license-mit #endpoints_compatible #region-us 


# Question Answering Model Fine-Tuned with YTU Dataset

You can find detailed explanation about dataset here.
# Question Answering Model Fine-Tuned with YTU Dataset

You can find detailed explanation about dataset here.
TAGS
#transformers #pytorch #electra #question-answering #license-mit #endpoints_compatible #region-us 
 # Question Answering Model Fine-Tuned with YTU Dataset

You can find detailed explanation about dataset here.
passage: TAGS
#transformers #pytorch #electra #question-answering #license-mit #endpoints_compatible #region-us 
# Question Answering Model Fine-Tuned with YTU Dataset

You can find detailed explanation about dataset here.