Datasets:
Add paper/code links, license, and enhance task category
#2
by nielsr HF Staff - opened
README.md
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---
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annotations_creators:
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language:
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multilinguality:
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size_categories:
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source_datasets:
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task_categories:
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task_ids:
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pretty_name: EMED (e-MedSolution to OMOP CDM Schema Matching dataset)
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tags:
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configs:
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dataset_info:
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features:
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splits:
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---
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# EMED: Healthcare Schema Matching Dataset
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Schema matching in healthcare requires aligning complex, domain-specific clinical tables and attributes across heterogeneous standards. EMED provides **81,204** candidate attribute pairs across **55** e-MedSolution source tables (**804** attributes) and **7** OMOP CDM target tables (**101** attributes), with **239** verified positive matches.
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## Dataset Creation Pipeline
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The **EMED** dataset was created and annotated with the following three-stage pipeline:
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journal={E{\"o}tv{\"o}s Lor{\'a}nd University, Tech. Rep.},
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year={2020}
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}
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```
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---
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annotations_creators:
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- expert-generated
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language:
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- en
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multilinguality:
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- monolingual
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- translation
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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- text-classification
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- zero-shot-classification
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- feature-extraction
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- other
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task_ids:
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- natural-language-inference
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- semantic-similarity-scoring
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pretty_name: EMED (e-MedSolution to OMOP CDM Schema Matching dataset)
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tags:
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- schema-matching
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- data-integration
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- healthcare
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- omop-cdm
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- e-medsolution
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- medical-informatics
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- tabular-schema
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license: other
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configs:
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- config_name: default
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default: true
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data_files:
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- split: train
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path: data/train.csv
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- split: validation
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path: data/validation.csv
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- split: test
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path: data/test.csv
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dataset_info:
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features:
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- name: omop
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dtype: string
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- name: table
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dtype: string
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- name: des1
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dtype: string
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- name: des2
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dtype: string
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- name: label
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dtype: int64
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- name: d1
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dtype: string
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- name: d2
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dtype: string
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- name: d3
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dtype: string
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- name: d4
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dtype: string
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splits:
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- name: train
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num_examples: 64957
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- name: validation
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num_examples: 8126
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- name: test
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num_examples: 8121
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---
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# EMED: Healthcare Schema Matching Dataset
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Schema matching in healthcare requires aligning complex, domain-specific clinical tables and attributes across heterogeneous standards. EMED provides **81,204** candidate attribute pairs across **55** e-MedSolution source tables (**804** attributes) and **7** OMOP CDM target tables (**101** attributes), with **239** verified positive matches.
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This dataset is described in the paper [Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching](https://huggingface.co/papers/2501.08686). The accompanying code is available at [https://github.com/machuangtao/kg-rag4sm](https://github.com/machuangtao/kg-rag4sm).
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## Dataset Creation Pipeline
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The **EMED** dataset was created and annotated with the following three-stage pipeline:
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journal={E{\"o}tv{\"o}s Lor{\'a}nd University, Tech. Rep.},
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year={2020}
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}
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```
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