---
language:
- es
- en
license: apache-2.0
dataset_info:
  features:
  - name: raw_text
    dtype: string
  - name: topic
    dtype: string
  - name: speciallity
    dtype: string
  - name: raw_text_type
    dtype: string
  - name: topic_type
    dtype: string
  - name: source
    dtype: string
  - name: country
    dtype: string
  - name: document_id
    dtype: string
  splits:
  - name: train
    num_bytes: 1489964
    num_examples: 500
  download_size: 839282
  dataset_size: 1489964
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Dataset Card for Dataset Spanish Medical

<!-- Provide a quick summary of the dataset. -->
Este dataset agrupa y organiza varios dataset presentes en hugginface (p.ej: PlanTL-GOB-ES/cantemist-ner, PlanTL-GOB-ES/pharmaconer) 
y otros recursos públicos creados por investigadores con distintos formatos (p.ej.; MedLexSp ) 
para permitir ser fuente de conocimiento de grandes modelos de lenguaje en idioma español para el dominio médico.

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

- **Funded by [optional]:** [Dionis López Ramos](), [Alvaro Garcia Barragan](https://huggingface.co/Alvaro8gb), [Dylan Montoya](https://huggingface.co/dylanmontoya22), [Daniel](https://huggingface.co/Danielbrdz)  
- **Language(s) (NLP):** Spanish
- **License:** Apache License 2.0

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. 

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
-->

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[More Information Needed]

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
Por cada entrada o documento en la fuente de información organizarla en un dataset de hugginface de la siguiente forma:

- **raw_text**: Texto asociado al documento, pregunta, caso clínico u otro tipo de información.
- **topic**: (Texto asociado al tratamiento médico (healthcare_treatment), diagnóstico (healthcare_diagnosis),
             topico de salud (topic),  respuesta de una pregunta (answer), other, o estar vacío p.ej en el texto abierto)
- **speciality**: (especialidad médica a la que se relaciona el raw_text p.ej: cardiología, cirugía, otros)
- **raw_text_type**: (puede ser clinic_case, open_text, question o vacio)
- **topic_type**: (puede ser medical_topic, medical_diagnostic,answer,natural_medicine_topic, other, o vacio)

- **source**: Identificador de la fuente asociada al documento que aparece en el README  y  descripción del dataset.
- **country**: Identificador del país de procedencia de la fuente (p.ej.; ch, es) usando el estándar ISO 3166-1 alfa-2 (Códigos de país de dos letras.).
- **document_id**: Identificador del documento en el dataset de procedencia, este valor puede estar vacio en caso que no se conozca
Al inicio de este proceso de construcción se debe actualizar en la tabla de la sección [Source Data](#source_data) la 
descripción de la fuente de información con los siguientes datos: 

- **Id**: Este será un número para que la fuente de información pueda ser referenciada en   
           cada entrada del conjunto de datos.
- **Nombre**: Nombre de la fuente de donde procede.
- **Tokens**: Cantidad de tokens que contiene.
- **Memoria**: Tamaño en memoria del dataset generado para hugginface
- **Licencia**: En este caso si es solo para investigación o si posee otra licencia como MIT, 
               Apache 2 u otras
- **Dirección**: URL de donde se puede descargar o consultar la información.
- **Pais**: País de procedencia de la información
  

[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

| Id | Nombre | Tokens | Memoria | Licencia | Dirección | País |
| --- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- | 
| 1 | Cantemist corpus: gold standard of oncology clinical cases annotated with CIE-O 3 terminology | 349287 | 9157 kB | [CC Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) | https://huggingface.co/datasets/bigbio/cantemist/viewer/cantemist_bigbio_kb | es |
| 2 | MedlinePlus Spanish (National Library of Medicine, NLM) | 7757337 | 35 MB |  | https://medlineplus.gov/spanish/ | es |
| 3 | PharmaCoNER  | 275955 | 2 MB | [CC Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) | https://huggingface.co/datasets/PlanTL-GOB-ES/pharmaconer | es |
| 4 | Spanish Biomedical Crawled Corpus  | 0 | 0 |  | https://zenodo.org/records/5513237 | es |
| 5 | CARES  | 0 | 0 |  | https://huggingface.co/datasets/chizhikchi/CARES | es |
| 6 | MEDDOCAN  | 364462 | 1639 kB |  | https://huggingface.co/datasets/bigbio/meddocan | es |

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]

**APA:**

[More Information Needed]

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

[More Information Needed]

## Dataset Card Contact

[More Information Needed]