Datasets:
license: mit
task_categories:
- summarization
language:
- en
size_categories:
- 10K<n<100K
Dataset Card for arxiv_astro_co_ga
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
This is a dataset consisting of titles and abstracts for all Cosmology and Galaxy Astrophysics arXiv articles to date (99,659 papers).
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English
Dataset Structure
Data Instances
{'title': 'Probing cluster formation under extreme conditions: massive star clusters in blue compact galaxies',
'abstract': ' The numerous and massive young star clusters in blue compact galaxies (BCGs) are used to investigate the properties of their hosts. We test whether BCGs follow claimed relations between cluster populations and their hosts, such as the the fraction of the total luminosity contributed by the clusters as function of the mean star formation rate density; the $V$ band luminosity of the brightest youngest cluster as related to the mean host star formation rate; and the cluster formation efficiency (i.e., the fraction of star formation happening in star clusters) versus the density of the SFR. We find that BCGs follow the trends, supporting a scenario where cluster formation and environmental properties of the host are correlated. They occupy, in all the diagrams, the regions of higher SFRs, as expected by the extreme nature of the starbursts operating in these systems. We find that the star clusters contribute almost to the 20 % of the UV luminosity of the hosts. We suggest that the BCG starburst environment has most likely favoured the compression and collapse of the giant molecular clouds, enhancing the local star formation efficiency, so that massive clusters have been formed. The estimated cluster formation efficiency supports this scenario. BCGs have a cluster formation efficiency comparable to luminous IR galaxies and spiral starburst nuclei (the averaged value is about 35 %) which is much higher than the 8 - 10 % reported for quiescent spirals and dwarf star-forming galaxies. '
}
Data Fields
title: Title of the paperabstract: The abstract of the paper
Data Splits
This dataset has 3 splits: train, validation, and test. Below are the statistics for these splits.
| Dataset Split | Number of Instances in Split |
|---|---|
| Train | 79,727 |
| Validation | 9966 |
| Test | 9966 |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
The original dataset from which this subset was constructed can be found here: Kaggle arXiv Dataset Homepage.
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
Various authors.
Annotations
This dataset contains no annotations.
Annotation process
[N/A]
Who are the annotators?
[N/A]
Personal and Sensitive Information
No author information included in this dataset.
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
The original data is maintained by ArXiv, huge thanks to the team for building and maintaining that dataset.
Licensing Information
The arxiv_astro_co_ga dataset version 1.0.0 is released under the MIT License.
Citation Information
@misc{clement2019arxiv,
title={On the Use of ArXiv as a Dataset},
author={Colin B. Clement and Matthew Bierbaum and Kevin P. O'Keeffe and Alexander A. Alemi},
year={2019},
eprint={1905.00075},
archivePrefix={arXiv},
primaryClass={cs.IR}
}
Contributions
[More Information Needed]