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  title: README
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- <img src="https://raw.githubusercontent.com/Borg93/Riksarkivet_docs/main/docs/assets/fav-removebg-preview.png" width="20%" height="20%" align="right" />
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- <h1> The Swedish National Archives </h1>
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  <p>
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- The Swedish National Archives (Riksarkivet) primarily manage government records for future generations. Access to cultural heritage and authentic information that can be used for research, judicial matters and public transparency is fundamental to our democratic society. As a supervisory authority, we offer services, datasets and models related to our public task.
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  </p>
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- We work primarily with Handwritten Text Recognition, but also to some extent with historical language models. We share our training data and models here on Huggingface πŸ€— and elsewhere. If you would like to work to improve or just use our models we'd be grateful!
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  Find us here πŸ‘‰
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  <li> <a href="https://riksarkivet.se/startpage" class="underline">Our web pages</a> where you can learn more about us and our services. πŸ“š </li>
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  <li> <a href="https://sok.riksarkivet.se/" class="underline">Our National Archives Database</a> where you can search for and access archival information and digitised archival documents, maps, plans, drawings and more! πŸ“š </li>
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  <li> Our <a href="https://github.com/Riksarkivet/dataplattform/wiki/Home-english-version" class="underline">Our Github pages</a> with documentation for our public APIs for accessing archival data. πŸš€ </li>
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- <li> Our code that is open source can be found on our <a href="https://github.com/orgs/Swedish-National-Archives-AI-lab/repositories" class="underline"> Github </a> </li>
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  </ul>
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+ <h1>AI at the Swedish National Archives</h1>
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  <p>
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+ The Swedish National Archives (<a href="https://riksarkivet.se" class="underline">Riksarkivet</a>) primarily manage government records for future generations. Access to cultural heritage and authentic information that can be used for research, judicial matters, and public transparency is fundamental to our democratic society.
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  </p>
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+ Riksarkivet has identified a significant opportunity to establish an AI lab, known as AIRA (AI at Riksarkivet), to focus on research and development as well as product development within Riksarkivet. As a lab within a supervisory authority, we offer services, datasets, and models related to our public mission.
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+ </p>
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+ We work primarily with Handwritten Text Recognition, semantic search, and to some extent, Large Language Models (LLMs). We share our training data and models on platforms like Huggingface πŸ€— and elsewhere. If you are interested in improving or utilizing our models, we would be delighted to collaborate!
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+ </p>
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  Find us here πŸ‘‰
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  <li> <a href="https://riksarkivet.se/startpage" class="underline">Our web pages</a> where you can learn more about us and our services. πŸ“š </li>
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  <li> <a href="https://sok.riksarkivet.se/" class="underline">Our National Archives Database</a> where you can search for and access archival information and digitised archival documents, maps, plans, drawings and more! πŸ“š </li>
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  <li> Our <a href="https://github.com/Riksarkivet/dataplattform/wiki/Home-english-version" class="underline">Our Github pages</a> with documentation for our public APIs for accessing archival data. πŸš€ </li>
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+ <li> Our code that is open source can be found on our <a href="https://github.com/orgs/AI-Riksarkivet/repositories" class="underline"> Github </a> </li>
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  </ul>
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