arnosimons's picture
Update README.md
2285076 verified
|
raw
history blame
3.02 kB
metadata
task_categories:
  - token-classification
language:
  - en
tags:
  - physics
  - astrophysics
  - high energy physics
  - science
  - Wikipedia
pretty_name: Wikipedia-Physics Corpus
size_categories:
  - 10K<n<100K

Dataset Card for the Wikipedia-Physics Corpus

Wikipedia-Physics Corpus contains 102,409 paragraphs extracted from 6642 key physics-related Wikipedia articles as well as word-sense labels for 1,186 occurrences of "Planck" across 885 paragraphs.

This table details the main columns of the dataset:

Column Description
text Full text of the paragraph
length Number of unicode characters in the paragraph
page_title Titel of the Wikipedia article
url URL of the Wikipedia article
text_id ID of the text/paragraph
paragraph_idx Relative index of the text/paragraph
year Year of the download of the Wikipedia article
month Month of the download of the Wikipedia article
day Day of the download of the Wikipedia article
minute Year of the download of the Wikipedia article
second Year of the download of the Wikipedia article
num_planck_labels Number of labeled occurrences of "Planck" in the paragraph
planck_labels List of word-sense labels for all occurrences of "Planck" in the paragraph

The primary purpose of the Wikipedia-Physics Corpus lies in its use for analyzing the meaning of concepts in physics. For further insights into the corpus and the underlying research project (Network Epistemology in Practice) please refer to this paper:

Construction

Wikipedia articles were selected using the PetScan tool, which generated a list of all pages categorized under "physics" or its immediate subcategories. Markup was removed and minimal cleaning applied to produce plain text paragraphs, and while references were removed, all formulas were retained.

Additionally, 1,186 occurrences of the term "Planck" were labeled across 885 paragraphs containing the term. These occurrences were identified using a case-insensitive regular expression to capture variations like "PLANCK" and "Planck(2015)"" while excluding irrelevant forms like "planckian". The labels denote distinct meanings of the target term, such as PERSON, CONSTANT, UNITS, LAW, MPS, MISSION, and FOKKER.

Details

  • Developer: Arno Simons
  • Funded by: The European Union under Grant agreement ID: 101044932
  • Language: English