Add new tensor consisting of counts of words in abstracts published on arxiv.org

_tensors/arxiv-abstracts.md

@@ -0,0 +1,48 @@
+---
+title: arXiv Abstracts
+
+description: >
+  Abstracts published on [arxiv.org](https://arxiv.org) from 1986 to
+  2021 as collected by
+  [Kaggle](https://www.kaggle.com/datasets/Cornell-University/arxiv).
+  The modes of the tensor are publication month
+  counting from the first paper, paper categories (e.g., cs.LG:Machine Learning), and
+  unique words appearing across the corpus of abstracts.  Unique words were constructed by [Spacy's English Core parser](https://spacy.io/models/en).  Tensor entries are
+  the number of times a given word appears across all of the abstracts published in the given month
+  for the given paper category.
+
+# Tensor statistics
+order: '3'
+nnz: '30408611'
+dims: ['419','172','24558']
+
+# Each entry is a list ["URL", "description"]
+files:
+ - ["arxiv_abstracts.tns.bz2", arXiv count tensor]
+ - ["categories.csv", Mapping of paper categories to indices]
+ - ["topTermsAbstract.csv", Mapping of unique words to indices]
+
+
+# bibtex citation
+citation: >
+  @inproceedings{10.1145/3592979.3593405,
+    author = {Phipps, Eric T. and Johnson, Nicholas T. and Kolda, Tamara G.},
+    title = {Streaming Generalized Canonical Polyadic Tensor Decompositions},
+    year = {2023},
+    isbn = {9798400701900},
+    publisher = {Association for Computing Machinery},
+    address = {New York, NY, USA},
+    url = {https://doi.org/10.1145/3592979.3593405},
+    doi = {10.1145/3592979.3593405},
+    booktitle = {Proceedings of the Platform for Advanced Scientific Computing Conference},
+    articleno = {6},
+    numpages = {10},
+    location = {Davos, Switzerland},
+    series = {PASC '23}
+  }
+
+
+# Where to file the tensor?
+tags: [text, counts]
+
+---