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Marmara-NLP/CSE4078S25_Grp6_Text_Classification

In this project, we aim to develop a text classification system to classify Turkish texts into specific categories. We are currently in the first phase of our project and in this context, we are researching and collecting Turkish text classification datasets from internet sources (HuggingFace, Kaggle, etc.). Dataset Statistics The combined dataset consists of a total of 1,227,879 instructions. The average length for each component is as follows: Instruction Length (in characters): 83.87 Input… See the full description on the dataset page: https://huggingface.co/datasets/Marmara-NLP/CSE4078S25_Grp6_Text_Classification.

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1 2In this project, we aim to develop a text classification system to classify Turkish texts into specific categories. We are currently in the first phase of our project and in this context, we are researching and collecting Turkish text classification datasets from internet sources (HuggingFace, Kaggle, etc.).3 4Dataset Statistics5 6The combined dataset consists of a total of 1,227,879 instructions.7 8The average length for each component is as follows:9 10Instruction Length (in characters): 83.8711 12Input Length (in characters): 262.0313 14Output Length (in characters): 5.5815 16In terms of variability, the standard deviations for each component are:17 18Instruction Length (in characters): 51.4119 20Input Length (in characters): 479.5121 22Output Length (in characters): 14.75