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Warning:
The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
This dataset contains a collection of Turkish dictionary definitions extracted from the official website of the Turkish Language Association (TDK). It provides comprehensive definitions for a wide range of Turkish words and phrases.
The dataset is intended to be a valuable resource for researchers, linguists, language enthusiasts, and anyone interested in the Turkish language. It can be used for various purposes, such as natural language processing tasks, language analysis, and educational projects.
Please note that the dataset is provided for informational purposes and should not be used for official or legal purposes. The definitions are based on the TDK's official dictionary and may not cover all possible meanings or variations in usage.
Disclaimer:
This dataset is created by an individual and is not an official TDK dataset. It is provided "as is" without any warranty or guarantee of accuracy. Users should exercise their own judgment and discretion when using the data.