---
license: apache-2.0
dataset_info:
features:
- name: coreId
dtype: string
- name: title
dtype: string
- name: authors
sequence: string
- name: datePublished
dtype: string
- name: abstract
dtype: string
- name: relations
sequence: string
- name: year
dtype: int64
splits:
- name: core_2018
num_bytes: 113101903827
num_examples: 85610399
download_size: 64859628168
dataset_size: 113101903827
configs:
- config_name: default
data_files:
- split: core_2018
path: data/core_2018-*
task_categories:
- question-answering
- summarization
- text2text-generation
- sentence-similarity
language:
- en
- zh
tags:
- chemistry
- biology
- legal
- finance
- music
- art
- climate
---
COREX 18
**Introducing COREX-18**, a comprehensive dataset derived from the 2018 version of the CORE dataset. Our goal is to contribute to the research community by compiling open-access scientific papers and publishing them in extensive datasets. These datasets will facilitate advanced RAG applications and enhance artificial intelligence research.
COREX was developed as part of our X initiative, which aims to maintain and compile publicly available data into accessible and regularly updated datasets.
**COREX-18 consists of over 85 million rows.**
Regarding metadata preservation, we made the decision not to include all metadata due to its complexity and the high number of NULL values encountered. Instead, we preserved critical metadata essential for tracking research papers and understanding their basic information.
COREX-18 remains unaltered from the original CORE dataset. We maintained the integrity of the abstracts and titles without subjecting them to any textual cleaning processes.
COREX-18 is primarily targeted towards RAG Applications and the Citing data and scientific knowledge category.
*Note: Full-text version will be updated soon.*