README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - article
  - synthetic
size_categories:
  - 10K<n<100K

Synthesis-Article Dataset

Overview

The Synthesis-Article dataset contains scientific article metadata, including titles, abstracts, and categorical labels indicating subject areas such as Computer Science (cs), Physics (phy), Mathematics (math), and Statistics (stat).

Dataset Details

• Modality: Tabular, Text
• Format: CSV
• Size: 10K - 100K rows
• Libraries Used: pandas, Datasets, Croissant
• License: Apache-2.0

Dataset Structure

The dataset consists of the following columns:

Column Name	Type	Description
title	string	Title of the scientific article
abstract	string	Abstract of the article
cs	int64	Binary label indicating if the article belongs to Computer Science (1: Yes, 0: No)
phy	int64	Binary label indicating if the article belongs to Physics (1: Yes, 0: No)
math	int64	Binary label indicating if the article belongs to Mathematics (1: Yes, 0: No)
stat	int64	Binary label indicating if the article belongs to Statistics (1: Yes, 0: No)

Dataset Statistics

• Total Rows: 29,961
• Train Split: ~21K rows
• Size of CSV: 32.8 MB
• Size of Auto-Converted Parquet: 19.8 MB

Usage

To load the dataset using datasets:

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Synthesis-Article")
print(dataset)