feat: add data objects
Browse files- .gitignore +1 -0
- processed/inductive/test_df.csv +0 -0
- processed/inductive/train_df.csv +0 -0
- processed/inductive/val_df.csv +0 -0
- processed/transductive/test_df.csv +0 -0
- processed/transductive/train_df.csv +0 -0
- processed/transductive/val_df.csv +0 -0
- raw/DATA-DESCRIPTION.txt +44 -0
- raw/email-Eu-nverts.txt +0 -0
- raw/email-Eu-simplices.txt +0 -0
- raw/email-Eu-times.txt +0 -0
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**/.DS_Store
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processed/inductive/test_df.csv
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processed/inductive/train_df.csv
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processed/inductive/val_df.csv
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processed/transductive/test_df.csv
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processed/transductive/train_df.csv
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raw/DATA-DESCRIPTION.txt
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Each timestamped simplex dataset consists of three files:
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1. dataset-nverts.txt
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2. dataset-simplices.txt
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3. dataset-times.txt
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All three files represent a vector of integers. There is one integer per line.
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The first file contains the number of vertices within each simplex. The second
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file is a contiguous list of the nodes comprising the simplices, where the
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ordering of the simplices is the same as in the first file. The third file
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contains the timestamps for each simplex. The length of the vectors in the first
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and third files is the same, and the length of the vector in the second file is
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the sum of the integers in the first file.
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Consider an example dataset consisting of three simplices:
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1. {1, 2, 3} at time 10
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2. {2, 4} at time 15.
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3. {1, 3, 4, 5} at time 21.
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Then files would look as follows:
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example-nverts.txt
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3
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2
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4
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example-simplices.xt
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1
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2
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3
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2
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4
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1
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3
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4
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5
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example-times.txt
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10
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15
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21
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For problems, please contact Austin Benson at arb@cs.cornell.edu.
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