|
--- |
|
dataset_info: |
|
features: |
|
- name: title |
|
dtype: string |
|
- name: abstract |
|
dtype: string |
|
- name: journal |
|
dtype: string |
|
- name: date |
|
dtype: timestamp[s] |
|
- name: authors |
|
sequence: string |
|
- name: doi |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 2477946 |
|
num_examples: 1035 |
|
download_size: 1290257 |
|
dataset_size: 2477946 |
|
license: apache-2.0 |
|
--- |
|
|
|
# COVID-19 and SARS-CoV-2 Research Papers Dataset |
|
|
|
The COVID-19 and SARS-CoV-2 Research Papers Dataset is a collection of research papers related to COVID-19 and the SARS-CoV-2 virus. This dataset provides information such as paper titles, abstracts, journals, publication dates, authors, and DOIs. |
|
|
|
## Dataset Details |
|
|
|
- Dataset Name: COVID-19 and SARS-CoV-2 Research Papers Dataset |
|
- Dataset Size: 2,477,946 bytes |
|
- Number of Examples: 1,035 |
|
- Download Size: 1,290,257 bytes |
|
- License: Apache-2.0 |
|
|
|
## Dataset Fields |
|
|
|
The dataset contains the following fields: |
|
|
|
- **Title**: The title of the research paper. (dtype: string) |
|
- **Abstract**: The abstract of the research paper. (dtype: string) |
|
- **Journal**: The journal in which the research paper was published. (dtype: string) |
|
- **Date**: The publication date of the research paper. (dtype: timestamp[s]) |
|
- **Authors**: The authors of the research paper. (sequence: string) |
|
- **DOI**: The Digital Object Identifier (DOI) of the research paper. (dtype: string) |
|
|
|
## Dataset Splits |
|
|
|
The dataset is split into the following: |
|
|
|
- **Train**: This split contains 1,035 examples from the COVID-19 and SARS-CoV-2 research papers. |
|
|
|
## Usage |
|
|
|
You can use the COVID-19 and SARS-CoV-2 Research Papers Dataset for various purposes, including text mining, natural language processing (NLP) tasks, and analyzing research trends in the context of COVID-19. |
|
|
|
## Loading the Dataset |
|
|
|
To load the COVID-19 and SARS-CoV-2 Research Papers Dataset, you can use the Hugging Face Datasets library. Here's an example: |
|
|
|
```python |
|
from datasets import load_dataset |
|
|
|
# Load the dataset |
|
dataset = load_dataset('pt-sk/ml_research_abs') |
|
|
|
# Access the fields |
|
titles = dataset['train']['title'] |
|
abstracts = dataset['train']['abstract'] |
|
journals = dataset['train']['journal'] |
|
dates = dataset['train']['date'] |
|
authors = dataset['train']['authors'] |
|
dois = dataset['train']['doi'] |
|
``` |
|
|
|
## Citation |
|
|
|
If you use this dataset in your research or any other work, please consider citing it as: |
|
|
|
``` |
|
@dataset{falah_covid19_sarscov2_research_dataset, |
|
author = {Falah.G.Salieh}, |
|
title = {COVID-19 and SARS-CoV-2 Research Papers Dataset}, |
|
year = {2023}, |
|
publisher = {Hugging Face}, |
|
version = {1.0}, |
|
location = {Online}, |
|
url = {https://huggingface.co/datasets/pt-sk/ml_research_abs} |
|
} |
|
``` |
|
|
|
## License |
|
|
|
The COVID-19 and SARS-CoV-2 Research Papers Dataset is provided under the Apache-2.0 license. |
|
|
|
|
|
``` |
|
|
|
|