README.md

---
dataset_info:
  features:
  - name: title
    dtype: string
  - name: abstract
    dtype: string
  - name: authors
    sequence: string
  - name: published
    dtype: string
  - name: url
    dtype: string
  - name: pdf_url
    dtype: string
  - name: arxiv_id
    dtype: string
  splits:
  - name: train
    num_bytes: 7726383
    num_examples: 5000
  download_size: 4366827
  dataset_size: 7726383
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Dataset Card for "arxiv_cs_papers"

This dataset contains the subset of ArXiv papers with the "cs.LG" tag to indicate the paper is about Machine Learning.

The core dataset is filtered from the full ArXiv dataset hosted on Kaggle: https://www.kaggle.com/datasets/Cornell-University/arxiv. The original dataset contains roughly 2 million papers. This dataset contains roughly 100,000 papers following the category filtering.

The dataset is maintained with requests to the ArXiv API.

The ArXiv dataset contains features:
<ul>
<li> title </li>
<li> abstract </li>
<li> authors </li>
<li> published </li>
<li> url </li>
<li> pdf_url </li>
<li> arxiv_id </li>
</ul>