CodiEsp corpus: Spanish clinical cases coded in ICD10 (CIE10) - eHealth CLEF2020
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An updated version (with minor changes) of the train and development sets will be published in the days following February, 12th. For more information on the corpus, visit the track webpage: http://temu.bsc.es/codiesp/ <strong>Introduction</strong>: These are the train and development sets of the CodiEsp corpus, released in the context of the CodiEsp track for CLEF ehealth 2020. The CodiEsp corpus contains manually coded clinical cases. All documents are in Spanish language and CIE10 is the coding terminology (it is the Spanish version of ICD10-CM and ICD10-PCS). The CodiEsp corpus has been randomly sampled into three subsets: the train, the development, and the test set. The train set contains 500 clinical cases, and the development and test set 250 clinical cases each. The current version of the corpus does not contain the test set. <strong>Corpus format description</strong>: The CodiEsp corpus is distributed in plain text in UTF8 encoding, where each clinical case is stored as a single file whose name is the clinical case identifier. Annotations are released in a tab-separated file. Since the CodiEsp track has 3 sub-tracks, every set of documents (train and test) has 3 tab-separated files associated with it. For the sub-tracks CodiEsp-D and CodiEsp-P, the file has the following fields: <pre>articleID label ICD10-code text-reference</pre> Tab-separated files for the sub-track CodiEsp-X contain an extra field that provides the position in the text of the text-reference: <pre>articleID label ICD10-code text-reference reference-position</pre> <strong>Corpus summary statistics</strong>: The final collection of 1000 clinical cases that make up the corpus had a total of 16504 sentences, with an average of 16.5 sentences per clinical case. It contains a total of 396,988 words, with an average of 396.2 words per clinical case.
训练集与开发集的更新版本(仅含少量改动)将于2月12日后数日发布。如需了解该语料库的更多详情,请访问任务官方网页:http://temu.bsc.es/codiesp/ <strong>简介</strong>:本数据集为CodiEsp语料库的训练集与开发集,依托CLEF eHealth 2020的CodiEsp任务发布。CodiEsp语料库收录经人工编码标注的临床病例,所有文档均为西班牙语,编码术语体系采用CIE10(即ICD10-CM与ICD10-PCS的西班牙语版本)。该语料库经随机抽样划分为三个子集:训练集、开发集与测试集。其中训练集包含500例临床病例,开发集与测试集各含250例。当前发布的版本暂未包含测试集。 <strong>语料库格式说明</strong>:CodiEsp语料库采用UTF8编码的纯文本格式分发,每份临床病例单独存储为一个文件,文件名即为该临床病例的唯一标识符。标注数据以制表符分隔文件形式发布。因CodiEsp任务下设3个子任务,每个文档集(训练集与测试集)均关联3个制表符分隔的标注文件。针对CodiEsp-D与CodiEsp-P子任务,标注文件包含以下字段:<pre>articleID label ICD10-code text-reference</pre> 而针对CodiEsp-X子任务的制表符分隔文件则额外包含一个字段,用于标注文本参考在原文中的位置:<pre>articleID label ICD10-code text-reference reference-position</pre> <strong>语料库统计概要</strong>:本语料库总计收录1000例临床病例,总句子数达16504句,单份临床病例平均包含16.5个句子;总词汇量为396988词,单份临床病例平均包含396.2个词。
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Zenodo创建时间:
2020-01-31



