upload hub_repos/codiesp/README.md to hub from bigbio repo

README.md

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+
+---
+language: 
+- es
+license: cc-by-4.0
+license_bigbio_shortname: CC_BY_4p0
+pretty_name: CodiEsp
+---
+
+
+# Dataset Card for CodiEsp
+
+## Dataset Description
+
+- **Homepage:** https://temu.bsc.es/codiesp/
+- **Pubmed:** False
+- **Public:** True
+- **Tasks:** Text Classification, Named Entity Recognition, Named Entity Disambiguation
+
+
+Synthetic corpus of 1,000 manually selected clinical case studies in Spanish
+that was designed for the Clinical Case Coding in Spanish Shared Task, as part
+of the CLEF 2020 conference.
+
+The goal of the task was to automatically assign ICD10 codes (CIE-10, in
+Spanish) to clinical case documents, being evaluated against manually generated
+ICD10 codifications. The CodiEsp corpus was selected manually by practicing
+physicians and clinical documentalists and annotated by clinical coding
+professionals meeting strict quality criteria. They reached an inter-annotator
+agreement of 88.6% for diagnosis coding, 88.9% for procedure coding and 80.5%
+for the textual reference annotation.
+
+The final collection of 1,000 clinical cases that make up the corpus had a total
+of 16,504 sentences and 396,988 words. All documents are in Spanish language and
+CIE10 is the coding terminology (the Spanish version of ICD10-CM and ICD10-PCS).
+The CodiEsp corpus has been randomly sampled into three subsets. The train set
+contains 500 clinical cases, while the development and test sets have 250
+clinical cases each. In addition to these, a collection of 176,294 abstracts
+from Lilacs and Ibecs with the corresponding ICD10 codes (ICD10-CM and
+ICD10-PCS) was provided by the task organizers. Every abstract has at least one
+associated code, with an average of 2.5 ICD10 codes per abstract.
+
+The CodiEsp track was divided into three sub-tracks (2 main and 1 exploratory):
+
+- CodiEsp-D: The Diagnosis Coding sub-task, which requires automatic ICD10-CM
+  [CIE10-Diagnóstico] code assignment.
+- CodiEsp-P: The Procedure Coding sub-task, which requires automatic ICD10-PCS
+  [CIE10-Procedimiento] code assignment.
+- CodiEsp-X: The Explainable AI exploratory sub-task, which requires to submit
+  the reference to the predicted codes (both ICD10-CM and ICD10-PCS). The goal 
+  of this novel task was not only to predict the correct codes but also to 
+  present the reference in the text that supports the code predictions.
+
+For further information, please visit https://temu.bsc.es/codiesp or send an
+email to encargo-pln-life@bsc.es
+
+
+
+## Citation Information
+
+```
+@article{miranda2020overview,
+  title={Overview of Automatic Clinical Coding: Annotations, Guidelines, and Solutions for non-English Clinical Cases at CodiEsp Track of CLEF eHealth 2020.},
+  author={Miranda-Escalada, Antonio and Gonzalez-Agirre, Aitor and Armengol-Estap{'e}, Jordi and Krallinger, Martin},
+  journal={CLEF (Working Notes)},
+  volume={2020},
+  year={2020}
+}
+
+```