README.md

metadata

dataset_info:
  features:
    - name: title
      sequence: string
    - name: author
      sequence: string
    - name: authoraffiliation
      sequence: string
    - name: venue
      sequence: string
    - name: abstract
      dtype: string
    - name: doi
      dtype: string
    - name: pdfurls
      sequence: string
    - name: corpusid
      dtype: int64
    - name: arxivid
      dtype: string
    - name: pdfsha
      dtype: string
    - name: text
      dtype: string
    - name: github_urls
      sequence: string
  splits:
    - name: train
      num_bytes: 89132091867
      num_examples: 1671614
  download_size: 35993359504
  dataset_size: 89132091867
license: mit
task_categories:
  - text-generation
  - zero-shot-classification
language:
  - en
pretty_name: arxiv_s2orc_parsed
size_categories:
  - 10B<n<100B

Dataset Card for "ArtifactAI/arxiv_s2orc_parsed"

Dataset Description

https://huggingface.co/datasets/ArtifactAI/arxiv_s2orc_parsed

Dataset Summary

ArtifactAI/arxiv_s2orc_parsed is a subset of the AllenAI S2ORC dataset, a general-purpose corpus for NLP and text mining research over scientific papers, The dataset is filtered strictly for ArXiv papers, including the full text for each paper. Github links have been extracted from each paper to aid in the development of ArtifactAI/arxiv_python_research_code

How to use it

from datasets import load_dataset

ds = load_dataset("ArtifactAI/arxiv_s2orc_parsed", split="train")

# dataset streaming (will only download the data as needed)
ds = load_dataset("ArtifactAI/arxiv_s2orc_parsed", streaming=True, split="train")

Dataset Structure

Data Instances

Each data instance corresponds to one file. The content of the file is in the text feature, and other features provide some metadata.

Data Fields

• title (sequence): list of titles.
• author (sequence): list of authors.
• authoraffiliation (sequence): list of institution affiliations for each author.
• venue: (integer): paper publication venue.
• doi: (float): paper doi.
• pdfurls: (integer): url link to the paper.
• corpusid: (int): corpus ID as defined by s2orc.
• arxivid: (int): arxiv paper id.
• pdfsha: (string): unique pdf hash.
• text: (string): full text of the arxiv paper.
• github_urls: (sequence): list of github urls referenced within the text

Data Splits

The dataset has no splits and all data is loaded as train split by default.

Additional Information

Dataset Curators

Matthew Kenney, Artifact AI, [email protected]

Citation Information

@misc{arxiv_s2orc_parsed,
    title={arxiv_s2orc_parsed},
    author={Matthew Kenney},
    year={2023}
}