Datasets:
id stringlengths 6 10 | title stringlengths 7 231 | abstract stringlengths 3 2.43k | authors stringlengths 5 21.5k | published_date timestamp[us] | link stringlengths 33 34 | markdown large_stringlengths 133 1.92M | primary_category stringclasses 149
values | categories sequencelengths 1 19 |
|---|---|---|---|---|---|---|---|---|
2302.12141 | Characterizing the nucleus of comet 162P/Siding Spring using
ground-based photometry | Comet 162P/Siding Spring is a large Jupiter-family comet with extensive
archival lightcurve data. We report new r-band nucleus lightcurves for this
comet, acquired in 2018, 2021 and 2022. With the addition of these lightcurves,
the phase angles at which the nucleus has been observed range from $0.39^\circ$
to $16.33^\c... | Abbie Donaldson, Rosita Kokotanekova, Agata Rożek, Colin Snodgrass, Daniel Gardener, Simon F. Green, Nafiseh Masoumzadeh, James Robinson | 2023-02-23T16:27:58 | http://arxiv.org/abs/2302.12141v1 | # Characterizing the nucleus of comet 162P/Siding Spring using ground-based photometry
###### Abstract
Comet 162P/Siding Spring is a large Jupiter-family comet with extensive archival lightcurve data. We report new \(r\)-band nucleus lightcurves for this comet, acquired in 2018, 2021 and 2022. With the addition of th... | astro-ph.EP | [
"astro-ph.EP"
] |
2301.08449 | Revealing the supercritical dynamics of dusty plasmas and their
liquid-like to gas-like dynamical crossover | Dusty plasmas represent a powerful playground to study the collective
dynamics of strongly coupled systems with important interdisciplinary
connections to condensed matter physics. Due to the pure Yukawa repulsive
interaction between dust particles, dusty plasmas do not display a traditional
liquid-vapor phase transiti... | Dong Huang, Matteo Baggioli, Shaoyu Lu, Zhuang Ma, Yan Feng | 2023-01-20T07:04:42 | http://arxiv.org/abs/2301.08449v1 | Revealing the supercritical dynamics of dusty plasmas and their liquid-like to gas-like dynamical crossover
###### Abstract
Dusty plasmas represent a powerful playground to study the collective dynamics of strongly coupled systems with important interdisciplinary connections to condensed matter physics. Due to the pu... | physics.plasm-ph | [
"physics.plasm-ph",
"cond-mat.soft",
"cond-mat.stat-mech"
] |
2302.11448 | On properties described by terms in commutator relation | We investigate properties of varieties of algebras described by a novel
concept of equation that we call \emph{commutator equation}. A commutator
equation is a relaxation of the standard term equality obtained substituting
the equality relation with the commutator relation. Namely, an algebra
$\mathbf{A}$ satisfies the... | Stefano Fioravanti | 2023-02-22T15:34:23 | http://arxiv.org/abs/2302.11448v2 | # On properties described by terms in commutator relation
###### Abstract.
We investigate properties of varieties of algebras described by a new concept of equation that we call _commutator equation_. A commutator equation is a relaxation of the standard term equality obtained substituting the equality relation with ... | math.RA | [
"math.RA",
"\"03C05",
"08B05",
"08B10\""
] |
2302.09207 | RETVec: Resilient and Efficient Text Vectorizer | "This paper describes RETVec, an efficient, resilient, and multilingual text\nvectorizer designed fo(...TRUNCATED) | Elie Bursztein, Marina Zhang, Owen Vallis, Xinyu Jia, Alexey Kurakin | 2023-02-18T02:06:52 | http://arxiv.org/abs/2302.09207v3 | "# RetVec: Resilient and Efficient Text Vectorizer\n\n###### Abstract\n\nThis paper describes RetVec(...TRUNCATED) | cs.CL | [
"cs.CL",
"cs.AI"
] |
2310.06325 | "Long-time behavior for the Kirchhoff diffusion problem with magnetic\n fractional Laplace operator(...TRUNCATED) | "We consider a Kirchhoff-type diffusion problem driven by the magnetic\nfractional Laplace operator.(...TRUNCATED) | Jiabin Zuo, Juliana Honda Lopes, Vicentiu D. Rădulescu | 2023-10-10T05:45:42 | http://arxiv.org/abs/2310.06325v1 | "# Long-time behavior for the Kirchhoff diffusion problem with magnetic fractional Laplace operator\(...TRUNCATED) | math.AP | [
"math.AP",
"\"35R11",
"35J20",
"35J60\""
] |
2304.02976 | "Unconstrained Parametrization of Dissipative and Contracting Neural\n Ordinary Differential Equati(...TRUNCATED) | "In this work, we introduce and study a class of Deep Neural Networks (DNNs)\nin continuous-time. Th(...TRUNCATED) | "Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Tre(...TRUNCATED) | 2023-04-06T10:02:54 | http://arxiv.org/abs/2304.02976v2 | "# Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equatio(...TRUNCATED) | eess.SY | [
"eess.SY",
"cs.LG",
"cs.SY"
] |
2307.03692 | Becoming self-instruct: introducing early stopping criteria for minimal
instruct tuning | "In this paper, we introduce the Instruction Following Score (IFS), a metric\nthat detects language (...TRUNCATED) | "Waseem AlShikh, Manhal Daaboul, Kirk Goddard, Brock Imel, Kiran Kamble, Parikshith Kulkarni, Melisa(...TRUNCATED) | 2023-07-05T09:42:25 | http://arxiv.org/abs/2307.03692v1 | "# Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning\n\n######(...TRUNCATED) | cs.CL | [
"cs.CL",
"cs.AI"
] |
2305.15689 | Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts | "Recent studies have demonstrated that natural-language prompts can help to\nleverage the knowledge (...TRUNCATED) | Mohna Chakraborty, Adithya Kulkarni, Qi Li | 2023-05-25T03:36:43 | http://arxiv.org/abs/2305.15689v2 | "# Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts\n\n###### Abstract\n\nRecent s(...TRUNCATED) | cs.CL | [
"cs.CL",
"cs.AI"
] |
2303.01572 | Transportability without positivity: a synthesis of statistical and
simulation modeling | "When estimating an effect of an action with a randomized or observational\nstudy, that study is oft(...TRUNCATED) | Paul N Zivich, Jessie K Edwards, Eric T Lofgren, Stephen R Cole, Bonnie E Shook-Sa, Justin Lessler | 2023-03-02T20:54:20 | http://arxiv.org/abs/2303.01572v4 | "# Transportability without positivity: a synthesis of statistical and simulation modeling\n\n######(...TRUNCATED) | stat.ME | [
"stat.ME"
] |
2307.13481 | Rotated time-frequency lattices are sets of stable sampling for
continuous wavelet systems | "We provide an example for the generating matrix $A$ of a two-dimensional\nlattice $\\Gamma = A\\mat(...TRUNCATED) | Nicki Holighaus, Günther Koliander | 2023-07-25T13:14:37 | http://arxiv.org/abs/2307.13481v2 | "# Rotated time-frequency lattices are sets of stable sampling for continuous wavelet systems\n\n###(...TRUNCATED) | math.FA | [
"math.FA",
"\"42C40 (Primary)",
"42C15",
"11K38 (Secondary)\""
] |
Arxiver Dataset with Category
This dataset is an enhanced version of the Arxiver dataset with additional category information. It contains 63,357 arXiv papers published between January 2023 and October 2023, with each paper enriched with its primary category and all associated categories.
Additional Features
Beyond the original dataset's fields (ID, title, abstract, authors, publication date, URL, and markdown content), this version adds:
- primary_category: The main arXiv category of the paper (e.g., 'cs.AI', 'cs.CL')
- categories: A list of all arXiv categories associated with the paper
These category fields were obtained through the arXiv API to provide more comprehensive paper classification information.
Dataset Structure
{
'id': 'arxiv paper id',
'title': 'paper title',
'abstract': 'paper abstract',
'authors': 'paper authors',
'published_date': 'publication date',
'link': 'arxiv url',
'markdown': 'paper content in markdown format',
'primary_category': 'main arxiv category',
'categories': ['list', 'of', 'arxiv', 'categories']
}
Using Arxiver
You can easily download and use the arxiver dataset with Hugging Face's datasets library.
from datasets import load_dataset
dataset = load_dataset("real-jiakai/arxiver-with-category")
Alternatively, you can stream the dataset to save disk space or to partially download the dataset:
from datasets import load_dataset
dataset = load_dataset("real-jiakai/arxiver-with-category", streaming=True)
License & Citation
This dataset follows the same Creative Commons Attribution-Noncommercial-ShareAlike (CC BY-NC-SA 4.0) license as the original Arxiver dataset.
References
When using this dataset, please cite both this version and the original Arxiver dataset:
@misc{acar_arxiver2024,
author = {Alican Acar, Alara Dirik, Muhammet Hatipoglu},
title = {ArXiver},
year = {2024},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/neuralwork/arxiver}}
}
@misc{jiakai_arxiver2025,
author = {real-jiakai},
title = {Arxiver with Category},
year = {2025},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/real-jiakai/arxiver-with-category}}
}
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