Hugging Face's logo

Datasets:
criteo
/
criteo-uplift

Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Size:
10M - 100M
Tags:
criteo
advertising
causality
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
eustache-crto commited on
Commit
2424920
·
verified ·
1 Parent(s): 26527f6

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -8
README.md CHANGED
@@ -1,15 +1,14 @@
1
  ---
2
  license: cc-by-nc-sa-4.0
3
  tags:
4
- - criteo
5
- - advertising
 
6
  pretty_name: criteo-uplift
7
  size_categories:
8
- - 10M<n<100M
9
  task_categories:
10
- - tabular-classification
11
- - uplift-modeling
12
- - individual-treatment-effect
13
  ---
14
 
15
  # Introduction
@@ -66,5 +65,4 @@ The dataset can be used primarily to benchmark methods in Uplift Modeling, Indiv
66
 
67
  Reference paper: [ITE and UM](https://openreview.net/pdf?id=Q83-QeTB9lS)
68
 
69
- Reference experimental code and evaluation: [Github](https://github.com/criteo-research/large-scale-ITE-UM-benchmark)
70
-
 
1
  ---
2
  license: cc-by-nc-sa-4.0
3
  tags:
4
+ - criteo
5
+ - advertising
6
+ - causality
7
  pretty_name: criteo-uplift
8
  size_categories:
9
+ - 10M<n<100M
10
  task_categories:
11
+ - tabular-classification
 
 
12
  ---
13
 
14
  # Introduction
 
65
 
66
  Reference paper: [ITE and UM](https://openreview.net/pdf?id=Q83-QeTB9lS)
67
 
68
+ Reference experimental code and evaluation: [Github](https://github.com/criteo-research/large-scale-ITE-UM-benchmark)