Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Martin Josifoski",
3
  "author": "Martin Josifoski",
            
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/10.48550/arXiv.2405.20806",
7
  "defined_in": "https://doi.org/10.48550/arXiv.2405.20806",
            
8
  "doi": "10.57702/ud07m40z",
8
  "doi": "10.57702/ud07m40z",
            
n
9
  "doi_date_published": null,
n
9
  "doi_date_published": "2024-12-03",
            
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": "Marija \u0160akota",
15
      "extra_author": "Marija \u0160akota",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Maxime Peyrard",
19
      "extra_author": "Maxime Peyrard",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    },
21
    },
            
22
    {
22
    {
            
23
      "extra_author": "Robert West",
23
      "extra_author": "Robert West",
            
24
      "orcid": ""
24
      "orcid": ""
            
25
    }
25
    }
            
26
  ],
26
  ],
            
27
  "groups": [
27
  "groups": [
            
28
    {
28
    {
            
29
      "description": "",
29
      "description": "",
            
30
      "display_name": "Information Extraction",
30
      "display_name": "Information Extraction",
            
31
      "id": "93de4fe8-1876-4c12-8d59-9ad10de2fbaf",
31
      "id": "93de4fe8-1876-4c12-8d59-9ad10de2fbaf",
            
32
      "image_display_url": "",
32
      "image_display_url": "",
            
33
      "name": "information-extraction",
33
      "name": "information-extraction",
            
34
      "title": "Information Extraction"
34
      "title": "Information Extraction"
            
35
    },
35
    },
            
36
    {
36
    {
            
37
      "description": "",
37
      "description": "",
            
38
      "display_name": "Synthetic Training",
38
      "display_name": "Synthetic Training",
            
39
      "id": "acb9062e-bc95-4862-bc41-ad948bf697a8",
39
      "id": "acb9062e-bc95-4862-bc41-ad948bf697a8",
            
40
      "image_display_url": "",
40
      "image_display_url": "",
            
41
      "name": "synthetic-training",
41
      "name": "synthetic-training",
            
42
      "title": "Synthetic Training"
42
      "title": "Synthetic Training"
            
43
    }
43
    }
            
44
  ],
44
  ],
            
45
  "id": "d47cec06-fa90-4fb0-88f9-1815473267b2",
45
  "id": "d47cec06-fa90-4fb0-88f9-1815473267b2",
            
46
  "isopen": false,
46
  "isopen": false,
            
47
  "landing_page": "https://arxiv.org/abs/2023.12345",
47
  "landing_page": "https://arxiv.org/abs/2023.12345",
            
48
  "license_title": null,
48
  "license_title": null,
            
49
  "link_orkg": "",
49
  "link_orkg": "",
            
50
  "metadata_created": "2024-12-03T10:34:53.204364",
50
  "metadata_created": "2024-12-03T10:34:53.204364",
            
n
51
  "metadata_modified": "2024-12-03T10:34:53.204369",
n
51
  "metadata_modified": "2024-12-03T10:34:53.693073",
            
52
  "name": "exploiting-asymmetry-for-synthetic-training",
52
  "name": "exploiting-asymmetry-for-synthetic-training",
            
53
  "notes": "The Exploiting Asymmetry for Synthetic Training in 
53
  "notes": "The Exploiting Asymmetry for Synthetic Training in 
            
54
Proceedings of the 2023 Conference on data generation: SynthIE and the 
54
Proceedings of the 2023 Conference on data generation: SynthIE and the 
            
55
case of information extraction dataset is used to demonstrate the 
55
case of information extraction dataset is used to demonstrate the 
            
56
effectiveness of exploiting asymmetry for synthetic training.",
56
effectiveness of exploiting asymmetry for synthetic training.",
            
n
57
  "num_resources": 0,
n
57
  "num_resources": 1,
            
58
  "num_tags": 3,
58
  "num_tags": 3,
            
59
  "organization": {
59
  "organization": {
            
60
    "approval_status": "approved",
60
    "approval_status": "approved",
            
61
    "created": "2024-11-25T12:11:38.292601",
61
    "created": "2024-11-25T12:11:38.292601",
            
62
    "description": "",
62
    "description": "",
            
63
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
63
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
64
    "image_url": "",
64
    "image_url": "",
            
65
    "is_organization": true,
65
    "is_organization": true,
            
66
    "name": "no-organization",
66
    "name": "no-organization",
            
67
    "state": "active",
67
    "state": "active",
            
68
    "title": "No Organization",
68
    "title": "No Organization",
            
69
    "type": "organization"
69
    "type": "organization"
            
70
  },
70
  },
            
71
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
71
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
72
  "private": false,
72
  "private": false,
            
73
  "relationships_as_object": [],
73
  "relationships_as_object": [],
            
74
  "relationships_as_subject": [],
74
  "relationships_as_subject": [],
            
t
75
  "resources": [],
t
75
  "resources": [
            
76
    {
            
77
      "cache_last_updated": null,
            
78
      "cache_url": null,
            
79
      "created": "2024-12-03T11:31:03",
            
80
      "data": [
            
81
        "dcterms:title",
            
82
        "dcterms:accessRights",
            
83
        "dcterms:creator",
            
84
        "dcterms:description",
            
85
        "dcterms:issued",
            
86
        "dcterms:language",
            
87
        "dcterms:identifier",
            
88
        "dcat:theme",
            
89
        "dcterms:type",
            
90
        "dcat:keyword",
            
91
        "dcat:landingPage",
            
92
        "dcterms:hasVersion",
            
93
        "dcterms:format",
            
94
        "mls:task",
            
95
        "datacite:isDescribedBy"
            
96
      ],
            
97
      "description": "The json representation of the dataset with its 
            
98
distributions based on DCAT.",
            
99
      "format": "JSON",
            
100
      "hash": "",
            
101
      "id": "74ca7342-4ed7-4d6b-8789-ef2a20b9f49a",
            
102
      "last_modified": "2024-12-03T10:34:53.685105",
            
103
      "metadata_modified": "2024-12-03T10:34:53.696129",
            
104
      "mimetype": "application/json",
            
105
      "mimetype_inner": null,
            
106
      "name": "Original Metadata",
            
107
      "package_id": "d47cec06-fa90-4fb0-88f9-1815473267b2",
            
108
      "position": 0,
            
109
      "resource_type": null,
            
110
      "size": 946,
            
111
      "state": "active",
            
112
      "url": 
            
113
resource/74ca7342-4ed7-4d6b-8789-ef2a20b9f49a/download/metadata.json",
            
114
      "url_type": "upload"
            
115
    }
            
116
  ],
            
76
  "services_used_list": "",
117
  "services_used_list": "",
            
77
  "state": "active",
118
  "state": "active",
            
78
  "tags": [
119
  "tags": [
            
79
    {
120
    {
            
80
      "display_name": "asymmetry",
121
      "display_name": "asymmetry",
            
81
      "id": "55cc4257-ccc0-4f97-ae46-8f517c48448c",
122
      "id": "55cc4257-ccc0-4f97-ae46-8f517c48448c",
            
82
      "name": "asymmetry",
123
      "name": "asymmetry",
            
83
      "state": "active",
124
      "state": "active",
            
84
      "vocabulary_id": null
125
      "vocabulary_id": null
            
85
    },
126
    },
            
86
    {
127
    {
            
87
      "display_name": "information extraction",
128
      "display_name": "information extraction",
            
88
      "id": "b2f12da9-1f82-400d-ac33-fc84bc4219fa",
129
      "id": "b2f12da9-1f82-400d-ac33-fc84bc4219fa",
            
89
      "name": "information extraction",
130
      "name": "information extraction",
            
90
      "state": "active",
131
      "state": "active",
            
91
      "vocabulary_id": null
132
      "vocabulary_id": null
            
92
    },
133
    },
            
93
    {
134
    {
            
94
      "display_name": "synthetic training",
135
      "display_name": "synthetic training",
            
95
      "id": "bd1bae73-8ec7-433d-819a-f3f62c7e6c06",
136
      "id": "bd1bae73-8ec7-433d-819a-f3f62c7e6c06",
            
96
      "name": "synthetic training",
137
      "name": "synthetic training",
            
97
      "state": "active",
138
      "state": "active",
            
98
      "vocabulary_id": null
139
      "vocabulary_id": null
            
99
    }
140
    }
            
100
  ],
141
  ],
            
101
  "title": "Exploiting Asymmetry for Synthetic Training",
142
  "title": "Exploiting Asymmetry for Synthetic Training",
            
102
  "type": "dataset",
143
  "type": "dataset",
            
103
  "version": ""
144
  "version": ""
            
104
}
145
}