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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. |
| 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: |
| ``` |
| { |
| "input": "Title", |
| "output": "A short description or summary about the given title." |
| } |
| ``` |
| ## Cleaning Process |
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| The following preprocessing steps were applied: |
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| Removal of HTML tags |
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| Removal of HTML entities such as , &, " |
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| Removal of template structures ({{ ... }}) |
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| Removal of Infobox fields and markup |
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| Removal of wiki links ([[Page]], [[Page|Text]]) |
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| Normalization of whitespace |
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| Removal of section headers (== Heading ==) |
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| Extraction of the first paragraph or first few sentences |
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| All summaries are plain text and designed to be model-friendly. |
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| Possible Use Cases |
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| Training retrieval and ranking models |
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| Topic-to-text or title-to-abstract generation |
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| Knowledge extraction and factual reasoning tasks |
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| Pretraining or finetuning LLMs on structured encyclopedic data |
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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. |
| 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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| Each record: one topic title and its cleaned summary |
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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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