date_created timestamp[ns]date 1995-03-05 18:46:36 2024-05-09 13:49:45 | title stringlengths 4 215 | categories stringlengths 7 80 | arxiv_id stringlengths 9 16 | year int32 2k 2.02k | embedding sequencelengths 768 768 | data_map sequencelengths 2 2 |
|---|---|---|---|---|---|---|
2007-04-04T06:58:08 | Generic representations of orthogonal groups: projective functors in the category Fquad | math.AT math.CT | 0704.0502 | 2,007 | [
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2007-04-11T09:08:03 | Triangulated categories without models | math.AT math.CT math.KT | 0704.1378 | 2,007 | [
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2007-04-12T17:21:24 | Complete Segal spaces arising from simplicial categories | math.AT math.CT | 0704.1624 | 2,007 | [
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2007-04-17T06:55:01 | Associated Graded Algebras and Coalgebras | math.CT math.QA | 0704.2106 | 2,007 | [
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2007-04-17T17:52:10 | Adjoint Functors and Heteromorphisms | math.CT math.LO | 0704.2207 | 2,007 | [
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2007-04-19T18:14:44 | L-stable functors | math.AT math.CT | 0704.2576 | 2,007 | [
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2007-04-30T16:52:30 | Lawvere completeness in Topology | math.CT math.GN | 0704.3976 | 2,007 | [
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2007-05-01T12:39:31 | Compact Corigid Objects in Triangulated Categories and Co-t-structures | math.CT | 0705.0102 | 2,007 | [
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2007-05-03T13:14:35 | Parallel Transport and Functors | math.DG math.CT | 0705.0452 | 2,007 | [
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2007-05-03T13:44:54 | Resource modalities in game semantics | math.CT cs.CL | 0705.0462 | 2,007 | [
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2007-05-05T09:47:01 | On monoidal equivalences and Ann-equivalences | math.CT | 0705.0736 | 2,007 | [
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2007-05-17T14:58:52 | Reflexivity in Derived Categories | math.KT math.CT | 0705.2537 | 2,007 | [
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Dataset Card for "arxiv_ml"
Dataset Description
Dataset Summary
This is a dataset of titles and abstracts of category theory related papers from ArXiv. This data is derived from the ArXiv dataset available on Kaggle. The selection of papers was determined by selecting all papers that used a category tag "math.CT". To supplement the titles and abstracts the creation time of the paper, as well as the categories are provided. To make exploration easier embeddings of the title and abstract have been made using the Nomic-embed-v1.5 text embedding model, and a 2D representation using UMAP is also provided.
Supported Tasks
This dataset is primarily aimed at tasks such as topic modelling, corpus triage, search and information retrieval, and other NLP tasks.
Languages
The dataset is in English, although other languages may also be present.
Dataset Creation
Curation Rationale
The full ArXiv dataset is too large for many tasks. Subsetting to a selection of ArXiv categories related the category theory ensures a small sized dataset that should mostly contain topics that are familiar to those wishing to use the dataset.
Source Data
This data is derived from the ArXiv dataset available on Kaggle.
Personal and Sensitive Information
This dataset contains publicly published information that was available under a CC0: public domain license via Kaggle. There should be no personal or senstive information in this dataset. If this is in error, please contact the maintainer and we will endeavour to remedy any issues.
Additional Information
Dataset Curators
Leland McInnes for the curated subset, Cornell University for the initial full dataset.
Licensing Information
Licensed as CC0: Public Domain.
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