---
license: apache-2.0
task_categories:
- text-generation
- text2text-generation
language:
- en
tags:
- keyword-generation
- Science
- Research
- Academia
- Innovation
- Technology
pretty_name: scientific papers with their author keywords
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: title
    dtype: string
  - name: abstract
    dtype: string
  - name: keywords
    dtype: string
  - name: source_name
    dtype: string
  splits:
  - name: train
    num_bytes: 2771926367
    num_examples: 2640662
  download_size: 1603171250
  dataset_size: 2771926367
---
# SciDocs Keywords exKEYliWORD

## Dataset Description

`SciDocs2Keywords` is a dataset consisting of scientific papers (title and abstract) and their associated author-provided keywords. It is designed for use in task of keyword extraction or abstraction.

Each entry in the dataset includes:
- Title: The title of the scientific paper.
- Abstract: A brief summary of the paper.
- Author Keywords: Keywords provided by the authors to highlight the main topics or concepts of the paper.
- Source: Paper provider source API.

## Associated Model

soon...

## How to Use
To use this dataset for model training or evaluation, you can load it using the Hugging Face `datasets` library as follows:

```python
from datasets import load_dataset

dataset = load_dataset("nicolauduran45/scidocs-keywords-exkeyliword")
print(dataset[0])
```