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  ---
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- dataset_info:
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- features:
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- - name: filename
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- dtype: string
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- - name: image
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- dtype: image
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- - name: text
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- dtype: binary
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- - name: label
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 1295380855.74
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- num_examples: 3582
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- download_size: 1207005983
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- dataset_size: 1295380855.74
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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  ---
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- # Dataset Card for "CMDS_Multimodal_Document"
 
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ license: apache-2.0
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+ task_categories:
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+ - image-classification
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+ - text-classification
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+ - image-to-text
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+ language:
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+ - bg
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+ tags:
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+ - DocumentAI
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+ - ImageClassification
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+ - SequenceClassification
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+ pretty_name: CMDS Document Images Dataset
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+ size_categories:
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+ - n<1K
 
 
 
 
 
 
 
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  ---
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+ # Dataset Card for Cyrillic Multimodel Document (CMDS)
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+ This is the dataset consists of 3789 pairs of images and text across 31 categories downloaded from the Bulgarian ministry of finance
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+ ### Dataset Summary
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+
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+ This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ Uses this dataset for downstream task like Document Classification, Image Classification or Text Classification (Sequences Classification). Suitable for multimodal Model like LayoutLm Family, Donut, etc.
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+
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+ ### Languages
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+
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+ Bulgarian
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+
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+ ### Data Fields
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+
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+ __text__ (bytes): the text appear in the document
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+ __filename__ (str): the name of the file
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+ __image__ (PIL.Image): the image of the document