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  license: apache-2.0
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- Here is a clean and professional README.md in English, without any emojis.
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- #Turkish Wikipedia Topic-to-Summary Dataset
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  This dataset consists of title–summary pairs extracted from the Turkish Wikipedia XML dump. Each entry contains a topic title as the input and a cleaned, HTML-free summary generated from the first paragraph of the corresponding article as the output.
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  It is suitable for training language models, retrieval systems, and knowledge extraction tasks.
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- #Format
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  The dataset is provided in JSONL format. Each line represents a single record:
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  ```
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  "output": "A short description or summary about the given title."
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  }
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  ```
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- Cleaning Process
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  The following preprocessing steps were applied:
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  Building question answering systems with short factual outputs
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- Source
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  The dataset is derived from the publicly available Turkish Wikipedia dump.
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  It does not contain any proprietary content and follows Wikipedia's licensing terms.
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- Size
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  Format: JSONL
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  Dataset size will depend on the specific Wikipedia dump version used
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- Notes
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  This dataset is not an official product of Wikipedia or the Wikimedia Foundation. It is a processed derivative created for research and machine learning purposes.
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-
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- If you want, I can also prepare:
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- A shorter version
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- A GitHub-optimized version
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- A citation block (BibTeX)
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- A dataset card in HuggingFace style
 
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  license: apache-2.0
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+ # Turkish Wikipedia Topic-to-Summary Dataset
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  This dataset consists of title–summary pairs extracted from the Turkish Wikipedia XML dump. Each entry contains a topic title as the input and a cleaned, HTML-free summary generated from the first paragraph of the corresponding article as the output.
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  It is suitable for training language models, retrieval systems, and knowledge extraction tasks.
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+ ## Format
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  The dataset is provided in JSONL format. Each line represents a single record:
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  ```
 
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  "output": "A short description or summary about the given title."
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  }
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  ```
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+ ## Cleaning Process
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  The following preprocessing steps were applied:
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  Building question answering systems with short factual outputs
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+ ## Source
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  The dataset is derived from the publicly available Turkish Wikipedia dump.
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  It does not contain any proprietary content and follows Wikipedia's licensing terms.
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+ ## Size
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  Format: JSONL
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  Dataset size will depend on the specific Wikipedia dump version used
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+ ## Notes
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  This dataset is not an official product of Wikipedia or the Wikimedia Foundation. It is a processed derivative created for research and machine learning purposes.
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