Update ARK-Metadata-datasheet.md
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ARK-Metadata-datasheet.md
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This dataset was created with the intent to provide a single larger set of metadata from Berlin State Library for research purposes and the development of AI applications.
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The dataset comprises of descriptive metadata of 2.619.397 titles, which together form the "Alte Realkatalog" of Berlin State
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The primary intention for the publication of this dataset was the provision of a large computationally amenable dataset exclusively consisting of bibliographic metadata to stimulate research and development of AI applications. In 2024, large (meta-)datasets from the field of historical cultural data are still missing. In this respect, the dataset provided here aims to fill a gap.
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After duplicated entries were removed (some individual titles were listed in more than one letter of the classification system), the dataset comprises of about 2.6 million titles, the metadata of which are sorted into 375 columns.
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The tasks for which this dataset may be used are studies on the history of books between
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The dataset was created by systematically downloading all available titles of the ARK from the central library system (CBS). This was done letter by letter, according to the classification and notation system described above. The intention was to provide a substantial and at the same time delimited dataset comprising bibliographic metadata from Berlin State Library. The language used in the dataset is German; however, the titles described in the dataset may be in other languages as well, such as Latin, English, or French. According to the numbers of titles reported above for each of the major classes in the classification system, a broad range of domains, topics, and genres are covered by the titles of the "Alte Realkatalog". However, the emphasis of Berlin State Library on collecting literature relevant for the humanities is still identifiable.
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- Task "paratextual formatting of books between 1800 and 1955". See as an example [Kilchör and Lehmann, 2022](https://doi.org/10.17175/2020_003_v2)
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- Task "pattern recognition on the basis of bibliographical metadata". Such patterns could be used for [retrieval-augmented generation of metadata](https://scale.com/blog/retrieval-augmented-generation-to-enhance-llms). See as an example [Völker et al, 2024](https://doi.org/10.1145/3627508.3638298)
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These three tasks are narratively described in more detail in the file "[Three Use Cases for the ARK Metadata](https://docs.google.com/document/d/1fZOrxuUkG6a717ZKKc59dkT0-_oDVFzga5vYnbh7UBk/edit?usp=sharing)" which
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The dataset was not part of a shared task.
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This dataset was created with the intent to provide a single larger set of metadata from Berlin State Library for research purposes and the development of AI applications.
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The dataset comprises of descriptive metadata of 2.619.397 titles, which together form the "Alte Realkatalog" of Berlin State Library, which may be translated to "Old Subject Catalogue". The data are stored in columnar format, containing 375 columns. They were downloaded in December 2023 from the German central library system (CBS). Exemplary tasks which can be served by this dataset comprise studies on the history of books between 1500 and 1955, on the paratextual formatting of scientific books between 1800 and 1955, and on pattern recognition on the basis of bibliographical metadata.
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The primary intention for the publication of this dataset was the provision of a large computationally amenable dataset exclusively consisting of bibliographic metadata to stimulate research and development of AI applications. In 2024, large (meta-)datasets from the field of historical cultural data are still missing. In this respect, the dataset provided here aims to fill a gap.
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After duplicated entries were removed (some individual titles were listed in more than one letter of the classification system), the dataset comprises of about 2.6 million titles, the metadata of which are sorted into 375 columns.
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The tasks for which this dataset may be used are studies on the history of books between 1500 and 1955, on the paratextual formatting of books between 1800 and 1955, and on pattern recognition on the basis of bibliographical metadata.
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The dataset was created by systematically downloading all available titles of the ARK from the central library system (CBS). This was done letter by letter, according to the classification and notation system described above. The intention was to provide a substantial and at the same time delimited dataset comprising bibliographic metadata from Berlin State Library. The language used in the dataset is German; however, the titles described in the dataset may be in other languages as well, such as Latin, English, or French. According to the numbers of titles reported above for each of the major classes in the classification system, a broad range of domains, topics, and genres are covered by the titles of the "Alte Realkatalog". However, the emphasis of Berlin State Library on collecting literature relevant for the humanities is still identifiable.
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- Task "paratextual formatting of books between 1800 and 1955". See as an example [Kilchör and Lehmann, 2022](https://doi.org/10.17175/2020_003_v2)
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- Task "pattern recognition on the basis of bibliographical metadata". Such patterns could be used for [retrieval-augmented generation of metadata](https://scale.com/blog/retrieval-augmented-generation-to-enhance-llms). See as an example [Völker et al, 2024](https://doi.org/10.1145/3627508.3638298)
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These three tasks are narratively described in more detail in the file "[Three Use Cases for the ARK Metadata](https://docs.google.com/document/d/1fZOrxuUkG6a717ZKKc59dkT0-_oDVFzga5vYnbh7UBk/edit?usp=sharing)", which can be accessed via the given link.
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The dataset was not part of a shared task.
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