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dh-unibe/image-text_hgb-kf_mixture

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Hugging Face2026-03-16 更新2026-04-05 收录
下载链接:
https://hf-mirror.com/datasets/dh-unibe/image-text_hgb-kf_mixture
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资源简介:
--- dataset_info: config_name: default features: - name: image dtype: image: decode: false - name: xml_content dtype: string - name: filename dtype: string - name: project_name dtype: string splits: - name: train num_examples: 154 num_bytes: 4566033472 download_size: 4566033472 dataset_size: 4566033472 configs: - config_name: default data_files: - split: train path: data/train/**/*.parquet tags: - image-to-text - htr - trocr - transcription - pagexml license: mit --- # Dataset Card for transkribus-exports-5657-raw-xml This dataset was created using pagexml-hf converter from Transkribus PageXML data. ## Dataset Summary This dataset contains 154 samples across 1 split(s). Mixed Historisches Grundbuch Basel and Königsfelden. Partly based on the Königsfelden Data Set (https://zenodo.org/records/5179361). PageXML representation of the text on the charters. For the transcription guidelines, see: (https://koenigsfelden.sources-online.org/intro.html). Geographical scope: Switzerland<br>Period: 1300-1350<br>Languages: Middle High German<br>Type of document: Documents and files<br>Provenance: State Archives of Aargau<br> ### Projects Included - HGB_FT_M4_50 - HGB_FT_M4_75 - HGB_FT_M4_95 - u-17_0059 - u-17_0060 - u-17_0061_01 - u-17_0061_02 - u-17_0065 - u-17_0075 - u-17_0083 - u-17_0103 - u-17_0104 - u-17_0126 - u-17_0149 - u-17_0151 - u-17_0152 - u-17_0159 - u-17_0179 - u-17_0185a - u-17_0187a ## Dataset Structure ### Data Splits - **train**: 154 samples ### Dataset Size - Approximate total size: 4354.51 MB - Total samples: 154 ### Features - **image**: `Image(mode=None, decode=False)` - **xml_content**: `Value('string')` - **filename**: `Value('string')` - **project_name**: `Value('string')` ## Data Organization Data is organized as parquet shards by split and project: ``` data/ ├── <split>/ │ └── <project_name>/ │ └── <timestamp>-<shard>.parquet ``` The HuggingFace Hub automatically merges all parquet files when loading the dataset. ## Usage ```python from datasets import load_dataset # Load entire dataset dataset = load_dataset("dh-unibe/transkribus-exports-5657-raw-xml") # Load specific split train_dataset = load_dataset("dh-unibe/transkribus-exports-5657-raw-xml", split="train") ```
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