Changes
On December 16, 2024 at 6:11:02 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Argoverse motion forecasting dataset -
Changed value of field
doi_date_published
to2024-12-16
in Argoverse motion forecasting dataset -
Added resource Original Metadata to Argoverse motion forecasting dataset
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2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Ruochen Jiao", | 3 | "author": "Ruochen Jiao", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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7 | "defined_in": "https://doi.org/10.48550/arXiv.2309.09317", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2309.09317", | ||
8 | "doi": "10.57702/kw98g6fq", | 8 | "doi": "10.57702/kw98g6fq", | ||
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10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
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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": "Yixuan Wang", | 15 | "extra_author": "Yixuan Wang", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Xiangguo Liu", | 19 | "extra_author": "Xiangguo Liu", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Simon Sinong Zhan", | 23 | "extra_author": "Simon Sinong Zhan", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Chao Huang", | 27 | "extra_author": "Chao Huang", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Qi Zhu", | 31 | "extra_author": "Qi Zhu", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "groups": [ | 35 | "groups": [ | ||
36 | { | 36 | { | ||
37 | "description": "", | 37 | "description": "", | ||
38 | "display_name": "Motion Forecasting", | 38 | "display_name": "Motion Forecasting", | ||
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40 | "image_display_url": "", | 40 | "image_display_url": "", | ||
41 | "name": "motion-forecasting", | 41 | "name": "motion-forecasting", | ||
42 | "title": "Motion Forecasting" | 42 | "title": "Motion Forecasting" | ||
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46 | "isopen": false, | 46 | "isopen": false, | ||
47 | "landing_page": "https://argoverse.org/dataset", | 47 | "landing_page": "https://argoverse.org/dataset", | ||
48 | "license_title": null, | 48 | "license_title": null, | ||
49 | "link_orkg": "", | 49 | "link_orkg": "", | ||
50 | "metadata_created": "2024-12-16T18:11:00.826481", | 50 | "metadata_created": "2024-12-16T18:11:00.826481", | ||
n | 51 | "metadata_modified": "2024-12-16T18:11:00.826487", | n | 51 | "metadata_modified": "2024-12-16T18:11:01.245276", |
52 | "name": "argoverse-motion-forecasting-dataset", | 52 | "name": "argoverse-motion-forecasting-dataset", | ||
53 | "notes": "The Argoverse motion forecasting dataset is used to | 53 | "notes": "The Argoverse motion forecasting dataset is used to | ||
54 | evaluate the proposed method. It contains more than 30K scenarios | 54 | evaluate the proposed method. It contains more than 30K scenarios | ||
55 | collected in Pittsburgh and Miami.", | 55 | collected in Pittsburgh and Miami.", | ||
n | 56 | "num_resources": 0, | n | 56 | "num_resources": 1, |
57 | "num_tags": 3, | 57 | "num_tags": 3, | ||
58 | "organization": { | 58 | "organization": { | ||
59 | "approval_status": "approved", | 59 | "approval_status": "approved", | ||
60 | "created": "2024-11-25T12:11:38.292601", | 60 | "created": "2024-11-25T12:11:38.292601", | ||
61 | "description": "", | 61 | "description": "", | ||
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63 | "image_url": "", | 63 | "image_url": "", | ||
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65 | "name": "no-organization", | 65 | "name": "no-organization", | ||
66 | "state": "active", | 66 | "state": "active", | ||
67 | "title": "No Organization", | 67 | "title": "No Organization", | ||
68 | "type": "organization" | 68 | "type": "organization" | ||
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71 | "private": false, | 71 | "private": false, | ||
72 | "relationships_as_object": [], | 72 | "relationships_as_object": [], | ||
73 | "relationships_as_subject": [], | 73 | "relationships_as_subject": [], | ||
t | 74 | "resources": [], | t | 74 | "resources": [ |
75 | { | ||||
76 | "cache_last_updated": null, | ||||
77 | "cache_url": null, | ||||
78 | "created": "2024-12-16T18:25:33", | ||||
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80 | "dcterms:title", | ||||
81 | "dcterms:accessRights", | ||||
82 | "dcterms:creator", | ||||
83 | "dcterms:description", | ||||
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87 | "dcat:theme", | ||||
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92 | "dcterms:format", | ||||
93 | "mls:task", | ||||
94 | "datacite:isDescribedBy" | ||||
95 | ], | ||||
96 | "description": "The json representation of the dataset with its | ||||
97 | distributions based on DCAT.", | ||||
98 | "format": "JSON", | ||||
99 | "hash": "", | ||||
100 | "id": "00599ded-0ac7-49a7-929b-3c428b2d1e8f", | ||||
101 | "last_modified": "2024-12-16T18:11:01.237347", | ||||
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103 | "mimetype": "application/json", | ||||
104 | "mimetype_inner": null, | ||||
105 | "name": "Original Metadata", | ||||
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109 | "size": 830, | ||||
110 | "state": "active", | ||||
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113 | "url_type": "upload" | ||||
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115 | ], | ||||
75 | "services_used_list": "", | 116 | "services_used_list": "", | ||
76 | "state": "active", | 117 | "state": "active", | ||
77 | "tags": [ | 118 | "tags": [ | ||
78 | { | 119 | { | ||
79 | "display_name": "Argoverse", | 120 | "display_name": "Argoverse", | ||
80 | "id": "187a0d85-019e-4e35-b89d-bb072855649b", | 121 | "id": "187a0d85-019e-4e35-b89d-bb072855649b", | ||
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86 | "display_name": "autonomous driving", | 127 | "display_name": "autonomous driving", | ||
87 | "id": "cdfd1201-895a-4c64-a803-f21348672860", | 128 | "id": "cdfd1201-895a-4c64-a803-f21348672860", | ||
88 | "name": "autonomous driving", | 129 | "name": "autonomous driving", | ||
89 | "state": "active", | 130 | "state": "active", | ||
90 | "vocabulary_id": null | 131 | "vocabulary_id": null | ||
91 | }, | 132 | }, | ||
92 | { | 133 | { | ||
93 | "display_name": "motion forecasting", | 134 | "display_name": "motion forecasting", | ||
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96 | "state": "active", | 137 | "state": "active", | ||
97 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
98 | } | 139 | } | ||
99 | ], | 140 | ], | ||
100 | "title": "Argoverse motion forecasting dataset", | 141 | "title": "Argoverse motion forecasting dataset", | ||
101 | "type": "dataset", | 142 | "type": "dataset", | ||
102 | "version": "" | 143 | "version": "" | ||
103 | } | 144 | } |