Datasets:
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)