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#### Description
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The merged dataset utilized in this project combines four distinct annotated datasets, all based on the Spanish Clinical Case Corpus ([SPACCC](https://zenodo.org/records/2560316)), a compilation of clinical case reports from Spanish medical publications. This merged dataset encompasses a total of 16,504 sentences across 1,000 clinical cases. The dataset focuses on identifying various medical entities within clinical narratives, including **symptoms**, medical **procedures**, **diseases**, **proteins**, and **chemicals**.
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The dataset is
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In order to use this dataset, the [documents](https://huggingface.co/datasets/IEETA/SPACCC-documents) are also provided.
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#### Origin
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The constituent datasets include:
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- **[SympTEMIST](https://zenodo.org/records/10635215)**: Designed for symptom,
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- **[DisTEMIST](https://zenodo.org/records/7614764)**: Targeting disease identification, containing 10,663 annotations.
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- **[PharmaCoNER](https://zenodo.org/records/4270158)**: Primarily for identifying chemicals and proteins, with 7,624 entities.
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#### Description
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The merged dataset utilized in this project combines four distinct annotated datasets, all based on the Spanish Clinical Case Corpus ([SPACCC](https://zenodo.org/records/2560316)), a compilation of clinical case reports from Spanish medical publications. This merged dataset encompasses a total of 16,504 sentences across 1,000 clinical cases. The dataset focuses on identifying various medical entities within clinical narratives, including **symptoms**, medical **procedures**, **diseases**, **proteins**, and **chemicals**.
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The dataset is further provided on [Zenodo](https://zenodo.org/records/11174163), and construction is detailed in our [GitHub](https://github.com/ieeta-pt/Multi-Head-CRF/) repository.
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In order to use this dataset, the [documents](https://huggingface.co/datasets/IEETA/SPACCC-documents) are also provided.
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#### Origin
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The constituent datasets include:
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- **[SympTEMIST](https://zenodo.org/records/10635215)**: Designed for symptom, signs, and findings annotations, contributing 12,193 annotations.
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- **[MedProcNER](https://zenodo.org/records/8224056)**: Focused on medical procedure identification with 14,683 instances.
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- **[DisTEMIST](https://zenodo.org/records/7614764)**: Targeting disease identification, containing 10,663 annotations.
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- **[PharmaCoNER](https://zenodo.org/records/4270158)**: Primarily for identifying chemicals and proteins, with 7,624 entities.
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