|
|
--- |
|
|
dataset_info: |
|
|
- config_name: dedup |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: source |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 85241511 |
|
|
num_examples: 30844 |
|
|
download_size: 48607995 |
|
|
dataset_size: 85241511 |
|
|
- config_name: original |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: source |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 105400009 |
|
|
num_examples: 35996 |
|
|
download_size: 60150578 |
|
|
dataset_size: 105400009 |
|
|
configs: |
|
|
- config_name: dedup |
|
|
data_files: |
|
|
- split: train |
|
|
path: dedup/train-* |
|
|
- config_name: original |
|
|
data_files: |
|
|
- split: train |
|
|
path: original/train-* |
|
|
default: true |
|
|
license: mit |
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|
task_categories: |
|
|
- text-generation |
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|
- mask-generation |
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|
language: |
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|
- es |
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|
tags: |
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|
- Clinical |
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|
- Spanish |
|
|
size_categories: |
|
|
- 10K<n<100K |
|
|
--- |
|
|
|
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|
# ClinText-SP Dataset Card |
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|
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## Dataset Description |
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|
**ClinText-SP** is the largest publicly available Spanish clinical corpus designed to support research in clinical natural language processing. It aggregates a rich collection of clinical texts from diverse open sources, including medical journals, annotated corpora from shared tasks, and supplementary sources like Wikipedia and medical textbooks. |
|
|
|
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|
The dataset contains: |
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|
- **35,996 samples** with an average of ~700 tokens per sample |
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|
- **Approximately 25.62M tokens** in total |
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|
|
|
ClinText-SP offers a balanced mix of long, well-structured clinical case reports and shorter, schematic texts, making it ideal for a variety of clinical NLP tasks. |
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|
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|
## Data Sources |
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|
The corpus is built from three primary source types: |
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|
- **Medical Journals:** Clinical case reports from specialized Spanish-language journals. |
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|
- **Annotated Corpora:** Datasets from shared tasks. |
|
|
- **Other Sources:** Additional clinical knowledge extracted from Wikipedia and select medical textbooks to complement the dataset. |
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|
|
|
## Data Preprocessing |
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|
- **Cleaning & Extraction:** Texts were parsed and cleaned from PDFs, HTMLs, and other formats. Extraneous formatting, HTML artifacts, and non-essential metadata (e.g., author names) were removed. |
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|
- **Customized Strategies:** Specific regex-based heuristics and LLM-assisted methods (using Qwen2.5) were employed to accurately extract clinical case information. |
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|
- **Deduplication & Language Filtering:** Fuzzy deduplication (using MinHash) ensured unique entries, and non-Spanish texts were removed using Python Langdetect. |
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|
|
|
## Intended Use |
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|
ClinText-SP is ideal for: |
|
|
- **Training and Benchmarking:** Facilitating the development of Spanish clinical NLP models, including encoder-based models such as [RigoBERTa Clinical](https://huggingface.co/IIC/RigoBERTa-Clinical). |
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|
- **Domain-Adaptive Pretraining:** Serving as a robust resource for adapting language models to the clinical domain. |
|
|
- **Research and Application:** Advancing clinical language understanding and supporting applications in healthcare AI. |
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|
|
|
|
## Limitations and Biases |
|
|
- **Biases:** The dataset may reflect biases inherent to the selected sources and may not cover every clinical specialty. |
|
|
- **Coverage:** While comprehensive, the dataset might not fully encapsulate the entirety of clinical nuances across all medical fields. |
|
|
- **Data Quality:** Variations in data quality exist due to the diversity of sources and extraction methods. |
|
|
|
|
|
For more detailed information, please check the [original paper](https://arxiv.org/abs/2503.18594). |
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|
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|
## Citation |
|
|
If you use ClinText-SP in your research, please cite the work as follows: |
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|
|
|
**BibTeX:** |
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|
|
|
```bibtex |
|
|
@misc{subies2025clintextsprigobertaclinicalnew, |
|
|
title={ClinText-SP and RigoBERTa Clinical: a new set of open resources for Spanish Clinical NLP}, |
|
|
author={Guillem García Subies and Álvaro Barbero Jiménez and Paloma Martínez Fernández}, |
|
|
year={2025}, |
|
|
eprint={2503.18594}, |
|
|
archivePrefix={arXiv}, |
|
|
primaryClass={cs.CL}, |
|
|
url={https://arxiv.org/abs/2503.18594}, |
|
|
} |
|
|
``` |
|
|
|
|
|
**APA:** |
|
|
|
|
|
``` |
|
|
Subies, G. G., Barbero Jiménez, Á., & Martínez Fernández, P. (2025). ClinText-SP and RigoBERTa Clinical: A new set of open resources for Spanish Clinical NLP. arXiv. https://arxiv.org/abs/2503.18594 |
|
|
``` |
|
|
|
|
|
## Model Card Authors and Contact |
|
|
|
|
|
Guillem García Subies: [email protected], [email protected] |
