From 125ab955d059ff02ebe22b1163807dec4b7e3eba Mon Sep 17 00:00:00 2001
From: Eric Phipps <etphipp@sandia.gov>
Date: Thu, 9 May 2024 15:05:14 -0600
Subject: [PATCH 1/3] Add arxiv abstracts tensor

---
 _tensors/arxiv-abstracts.md | 48 +++++++++++++++++++++++++++++++++++++
 1 file changed, 48 insertions(+)
 create mode 100644 _tensors/arxiv-abstracts.md

diff --git a/_tensors/arxiv-abstracts.md b/_tensors/arxiv-abstracts.md
new file mode 100644
index 0000000..044805f
--- /dev/null
+++ b/_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 paper categories (e.g., cs.LG:Machine Learning),
+  unique words appearing across the corpus of abstracts, and publication month,
+  counting from the first paper.  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
+  for the given paper category.
+
+# Tensor statistics
+order: '3'
+nnz: '30408611'
+dims: ['172', '24558', '300']
+
+# Each entry is a list ["URL", "description"]
+files:
+ - Will be provided
+ #["http://www-users.cs.umn.edu/~shaden/frostt_data/amazon/amazon-reviews.tns.gz", Amazon-Reviews tensor]
+
+
+# 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]
+
+---

From 733c552b6c47a0f90f5179ac311d721e4a2c97dc Mon Sep 17 00:00:00 2001
From: Eric Phipps <etphipp@sandia.gov>
Date: Thu, 9 May 2024 15:09:22 -0600
Subject: [PATCH 2/3] Fix modes

---
 _tensors/arxiv-abstracts.md | 11 +++++------
 1 file changed, 5 insertions(+), 6 deletions(-)

diff --git a/_tensors/arxiv-abstracts.md b/_tensors/arxiv-abstracts.md
index 044805f..6c1e56c 100644
--- a/_tensors/arxiv-abstracts.md
+++ b/_tensors/arxiv-abstracts.md
@@ -5,17 +5,16 @@ 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 paper categories (e.g., cs.LG:Machine Learning),
-  unique words appearing across the corpus of abstracts, and publication month,
-  counting from the first paper.  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
+  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: ['172', '24558', '300']
+dims: ['419','172','24558']
 
 # Each entry is a list ["URL", "description"]
 files:

From 7535a5e9ce1498a342ed163208eb2587d9d8dca3 Mon Sep 17 00:00:00 2001
From: Eric Phipps <etphipp@sandia.gov>
Date: Thu, 9 May 2024 15:16:35 -0600
Subject: [PATCH 3/3] Add files

---
 _tensors/arxiv-abstracts.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/_tensors/arxiv-abstracts.md b/_tensors/arxiv-abstracts.md
index 6c1e56c..2852516 100644
--- a/_tensors/arxiv-abstracts.md
+++ b/_tensors/arxiv-abstracts.md
@@ -18,8 +18,9 @@ dims: ['419','172','24558']
 
 # Each entry is a list ["URL", "description"]
 files:
- - Will be provided
- #["http://www-users.cs.umn.edu/~shaden/frostt_data/amazon/amazon-reviews.tns.gz", Amazon-Reviews tensor]
+ - ["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