Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Prakhar Ganesh",
3
  "author": "Prakhar Ganesh",
            
4
  "author_email": "",
4
  "author_email": "",
            
5
  "citation": [],
5
  "citation": [],
            
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
7
  "defined_in": "https://doi.org/10.1145/3593013.3594116",
7
  "defined_in": "https://doi.org/10.1145/3593013.3594116",
            
8
  "doi": "10.57702/n9tjusor",
8
  "doi": "10.57702/n9tjusor",
            
n
9
  "doi_date_published": null,
n
9
  "doi_date_published": "2024-12-16",
            
10
  "doi_publisher": "TIB",
10
  "doi_publisher": "TIB",
            
n
11
  "doi_status": false,
n
11
  "doi_status": true,
            
12
  "domain": "https://service.tib.eu/ldmservice",
12
  "domain": "https://service.tib.eu/ldmservice",
            
13
  "extra_authors": [
13
  "extra_authors": [
            
14
    {
14
    {
            
15
      "extra_author": "Hongyan Chang",
15
      "extra_author": "Hongyan Chang",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Martin Strobel",
19
      "extra_author": "Martin Strobel",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    },
21
    },
            
22
    {
22
    {
            
23
      "extra_author": "Reza Shokri",
23
      "extra_author": "Reza Shokri",
            
24
      "orcid": ""
24
      "orcid": ""
            
25
    }
25
    }
            
26
  ],
26
  ],
            
27
  "groups": [
27
  "groups": [
            
28
    {
28
    {
            
29
      "description": "",
29
      "description": "",
            
30
      "display_name": "Binary Classification",
30
      "display_name": "Binary Classification",
            
31
      "id": "fd1e2f3e-f51b-445c-baa2-7f3cd6aea494",
31
      "id": "fd1e2f3e-f51b-445c-baa2-7f3cd6aea494",
            
32
      "image_display_url": "",
32
      "image_display_url": "",
            
33
      "name": "binary-classification",
33
      "name": "binary-classification",
            
34
      "title": "Binary Classification"
34
      "title": "Binary Classification"
            
35
    },
35
    },
            
36
    {
36
    {
            
37
      "description": "",
37
      "description": "",
            
38
      "display_name": "Fairness in machine learning",
38
      "display_name": "Fairness in machine learning",
            
39
      "id": "acd9ab59-b298-49cd-8e2b-8de7d366522b",
39
      "id": "acd9ab59-b298-49cd-8e2b-8de7d366522b",
            
40
      "image_display_url": "",
40
      "image_display_url": "",
            
41
      "name": "fairness-in-machine-learning",
41
      "name": "fairness-in-machine-learning",
            
42
      "title": "Fairness in machine learning"
42
      "title": "Fairness in machine learning"
            
43
    }
43
    }
            
44
  ],
44
  ],
            
45
  "id": "a9df74da-dd01-415d-a0e7-1fdfacbf5900",
45
  "id": "a9df74da-dd01-415d-a0e7-1fdfacbf5900",
            
46
  "isopen": false,
46
  "isopen": false,
            
47
  "landing_page": "",
47
  "landing_page": "",
            
48
  "license_title": null,
48
  "license_title": null,
            
49
  "link_orkg": "",
49
  "link_orkg": "",
            
50
  "metadata_created": "2024-12-16T20:26:26.766146",
50
  "metadata_created": "2024-12-16T20:26:26.766146",
            
n
51
  "metadata_modified": "2024-12-16T20:26:26.766151",
n
51
  "metadata_modified": "2024-12-16T20:26:27.138755",
            
52
  "name": "acsincome",
52
  "name": "acsincome",
            
53
  "notes": "ACSIncome is one of the five pre-defined tasks in the 
53
  "notes": "ACSIncome is one of the five pre-defined tasks in the 
            
54
Folktables dataset [17], which was recently collected to improve the 
54
Folktables dataset [17], which was recently collected to improve the 
            
55
older and commonly used UCI Adult Income dataset [19]. More 
55
older and commonly used UCI Adult Income dataset [19]. More 
            
56
specifically, we use the subset of Folktables dataset from the state 
56
specifically, we use the subset of Folktables dataset from the state 
            
57
of California, USA for 2018. The dataset contains a total of 195, 665 
57
of California, USA for 2018. The dataset contains a total of 195, 665 
            
58
data points with 10 features each, where each data points represents 
58
data points with 10 features each, where each data points represents 
            
59
an individual. The task is a binary classification to predict whether 
59
an individual. The task is a binary classification to predict whether 
            
60
the individual\u2019s income is above $50, 000. For fairness measures, 
60
the individual\u2019s income is above $50, 000. For fairness measures, 
            
61
we use perceived gender (Sex) as the sensitive attribute, which is 
61
we use perceived gender (Sex) as the sensitive attribute, which is 
            
62
also one of the 10 input features.",
62
also one of the 10 input features.",
            
n
63
  "num_resources": 0,
n
63
  "num_resources": 1,
            
64
  "num_tags": 4,
64
  "num_tags": 4,
            
65
  "organization": {
65
  "organization": {
            
66
    "approval_status": "approved",
66
    "approval_status": "approved",
            
67
    "created": "2024-11-25T12:11:38.292601",
67
    "created": "2024-11-25T12:11:38.292601",
            
68
    "description": "",
68
    "description": "",
            
69
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
69
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
70
    "image_url": "",
70
    "image_url": "",
            
71
    "is_organization": true,
71
    "is_organization": true,
            
72
    "name": "no-organization",
72
    "name": "no-organization",
            
73
    "state": "active",
73
    "state": "active",
            
74
    "title": "No Organization",
74
    "title": "No Organization",
            
75
    "type": "organization"
75
    "type": "organization"
            
76
  },
76
  },
            
77
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
77
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
78
  "private": false,
78
  "private": false,
            
79
  "relationships_as_object": [],
79
  "relationships_as_object": [],
            
80
  "relationships_as_subject": [],
80
  "relationships_as_subject": [],
            
t
81
  "resources": [],
t
81
  "resources": [
            
82
    {
            
83
      "cache_last_updated": null,
            
84
      "cache_url": null,
            
85
      "created": "2024-12-16T18:25:45",
            
86
      "data": [
            
87
        "dcterms:title",
            
88
        "dcterms:accessRights",
            
89
        "dcterms:creator",
            
90
        "dcterms:description",
            
91
        "dcterms:issued",
            
92
        "dcterms:language",
            
93
        "dcterms:identifier",
            
94
        "dcat:theme",
            
95
        "dcterms:type",
            
96
        "dcat:keyword",
            
97
        "dcat:landingPage",
            
98
        "dcterms:hasVersion",
            
99
        "dcterms:format",
            
100
        "mls:task",
            
101
        "datacite:isDescribedBy"
            
102
      ],
            
103
      "description": "The json representation of the dataset with its 
            
104
distributions based on DCAT.",
            
105
      "format": "JSON",
            
106
      "hash": "",
            
107
      "id": "89315e17-710e-431c-a4ec-b05eb0b86033",
            
108
      "last_modified": "2024-12-16T20:26:27.131099",
            
109
      "metadata_modified": "2024-12-16T20:26:27.141688",
            
110
      "mimetype": "application/json",
            
111
      "mimetype_inner": null,
            
112
      "name": "Original Metadata",
            
113
      "package_id": "a9df74da-dd01-415d-a0e7-1fdfacbf5900",
            
114
      "position": 0,
            
115
      "resource_type": null,
            
116
      "size": 1260,
            
117
      "state": "active",
            
118
      "url": 
            
119
resource/89315e17-710e-431c-a4ec-b05eb0b86033/download/metadata.json",
            
120
      "url_type": "upload"
            
121
    }
            
122
  ],
            
82
  "services_used_list": "",
123
  "services_used_list": "",
            
83
  "state": "active",
124
  "state": "active",
            
84
  "tags": [
125
  "tags": [
            
85
    {
126
    {
            
86
      "display_name": "ACSIncome",
127
      "display_name": "ACSIncome",
            
87
      "id": "591386fb-8081-4bc7-8536-eb3525b1d29b",
128
      "id": "591386fb-8081-4bc7-8536-eb3525b1d29b",
            
88
      "name": "ACSIncome",
129
      "name": "ACSIncome",
            
89
      "state": "active",
130
      "state": "active",
            
90
      "vocabulary_id": null
131
      "vocabulary_id": null
            
91
    },
132
    },
            
92
    {
133
    {
            
93
      "display_name": "Binary Classification",
134
      "display_name": "Binary Classification",
            
94
      "id": "3703128a-f9dc-495f-a243-83317e120d6e",
135
      "id": "3703128a-f9dc-495f-a243-83317e120d6e",
            
95
      "name": "Binary Classification",
136
      "name": "Binary Classification",
            
96
      "state": "active",
137
      "state": "active",
            
97
      "vocabulary_id": null
138
      "vocabulary_id": null
            
98
    },
139
    },
            
99
    {
140
    {
            
100
      "display_name": "Fairness in Machine Learning",
141
      "display_name": "Fairness in Machine Learning",
            
101
      "id": "06a97f88-94ec-4d67-8bdb-edb25a5d1617",
142
      "id": "06a97f88-94ec-4d67-8bdb-edb25a5d1617",
            
102
      "name": "Fairness in Machine Learning",
143
      "name": "Fairness in Machine Learning",
            
103
      "state": "active",
144
      "state": "active",
            
104
      "vocabulary_id": null
145
      "vocabulary_id": null
            
105
    },
146
    },
            
106
    {
147
    {
            
107
      "display_name": "Folktables",
148
      "display_name": "Folktables",
            
108
      "id": "5592b7be-3e86-4a4f-a89b-4762f87e3738",
149
      "id": "5592b7be-3e86-4a4f-a89b-4762f87e3738",
            
109
      "name": "Folktables",
150
      "name": "Folktables",
            
110
      "state": "active",
151
      "state": "active",
            
111
      "vocabulary_id": null
152
      "vocabulary_id": null
            
112
    }
153
    }
            
113
  ],
154
  ],
            
114
  "title": "ACSIncome",
155
  "title": "ACSIncome",
            
115
  "type": "dataset",
156
  "type": "dataset",
            
116
  "version": ""
157
  "version": ""
            
117
}
158
}