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Datasets:
mostlyai
/
mostlyaiprize

Modalities:
Tabular
Text
Formats:
csv
Size:
100K - 1M
Tags:
tabular
synthetic-data
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pandas
License:
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1
Shuang Wu commited on
Commit
76af540
·
unverified ·
1 Parent(s): 66460be

update file size and md5 in README

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  1. README.md +2 -2
README.md CHANGED
@@ -46,12 +46,12 @@ Train a generative model that generalizes well, using any open-source tools (Syn
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  This dataset consists of two compressed CSV files used in the MOSTLY AI Prize competition:
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  ### Flat Data
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- - File: `data/flat/train/flat-training.csv` (7.4MB)
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  - 100,000 records
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  - 80 data columns: 60 numeric, 20 categorical
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  ### Sequential Data
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- - File: `data/sequential/train/sequential-training.csv` (1.3MB)
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  - 20,000 groups
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  - Each group contains 5-10 records
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  - 11 data columns: 7 numeric, 3 categorical + 1 group ID
 
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  This dataset consists of two compressed CSV files used in the MOSTLY AI Prize competition:
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  ### Flat Data
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+ - File: `data/flat/train/flat-training.csv` (26MB, MD5 `d5642dd9b13da0dc1fbac6f92f8e4b20`)
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  - 100,000 records
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  - 80 data columns: 60 numeric, 20 categorical
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  ### Sequential Data
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+ - File: `data/sequential/train/sequential-training.csv` (6.6MB, MD5 `dd024fe8130cb36ad9374e23ccbffc4a`)
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  - 20,000 groups
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  - Each group contains 5-10 records
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  - 11 data columns: 7 numeric, 3 categorical + 1 group ID