Alvant
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englishize dataset info
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README.md
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---
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license: other
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license_name: topicnet
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license_link: >-
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https://github.com/machine-intelligence-laboratory/TopicNet/blob/master/LICENSE.txt
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---
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# ICD-10 (МКБ-10)
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* D —
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*
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* <имя модальности> len D — средняя длина документа в терминах этой модальности (количество слов)
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* <имя модальности> len D uniq — средняя длина документа в уникальных терминах этой модальности (количество уникальных слов)
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| | D | @text W | @text len D | @text len D uniq | @letter W | @letter len D | @letter len D uniq |
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| value | 1733 | 953168 | 550.01 | 550.01 | 1733 | 1 | 1 |
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| | len_total@text | len_total@letter | len_uniq@text | len_uniq@letter |
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| max | 8042 | 1 | 8042 | 1 |
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---
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language:
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- ru
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multilinguality:
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- monolingual
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license: other
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license_name: topicnet
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license_link: >-
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https://github.com/machine-intelligence-laboratory/TopicNet/blob/master/LICENSE.txt
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task_categories:
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- text-classification
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task_ids:
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- topic-classification
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- multi-class-classification
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- multi-label-classification
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tags:
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- topic-modeling
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- topic-modelling
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- text-clustering
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- multimodal-data
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- multimodal-learning
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- modalities
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- document-representation
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---
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# ICD-10 (МКБ-10)
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Some measurable characteristics of the dataset:
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* D — number of documents
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* <modality name> W — modality dictionary size (number of unique tokens)
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* <modality name> len D — average document length in modality tokens (number of tokens)
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* <modality name> len D uniq — average document length in unique modality tokens (number of unique tokens)
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| | D | @text W | @text len D | @text len D uniq | @letter W | @letter len D | @letter len D uniq |
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| value | 1733 | 953168 | 550.01 | 550.01 | 1733 | 1 | 1 |
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Information about document lengths in modality tokens:
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| | len_total@text | len_total@letter | len_uniq@text | len_uniq@letter |
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| max | 8042 | 1 | 8042 | 1 |
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**Metadata**: known class labels (25 classes). See [ICD-10 chapters](https://en.wikipedia.org/wiki/ICD-10#Chapters).
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