Changes
On December 2, 2024 at 6:16:56 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in SynCoBERT -
Changed value of field
doi_date_published
to2024-12-02
in SynCoBERT -
Added resource Original Metadata to SynCoBERT
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2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Xin Wang", | 3 | "author": "Xin Wang", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2403.16702" | 6 | "https://doi.org/10.48550/arXiv.2403.16702" | ||
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n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-02", |
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15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "Yasheng Wang", | 17 | "extra_author": "Yasheng Wang", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Fei Mi", | 21 | "extra_author": "Fei Mi", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Pingyi Zhou", | 25 | "extra_author": "Pingyi Zhou", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Yao Wan", | 29 | "extra_author": "Yao Wan", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | } | 31 | } | ||
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33 | "groups": [ | 33 | "groups": [ | ||
34 | { | 34 | { | ||
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38 | "image_display_url": "", | 38 | "image_display_url": "", | ||
39 | "name": "code-representation", | 39 | "name": "code-representation", | ||
40 | "title": "Code Representation" | 40 | "title": "Code Representation" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "SynCoBERT", | 44 | "display_name": "SynCoBERT", | ||
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46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "syncobert", | 47 | "name": "syncobert", | ||
48 | "title": "SynCoBERT" | 48 | "title": "SynCoBERT" | ||
49 | } | 49 | } | ||
50 | ], | 50 | ], | ||
51 | "id": "5039d785-026b-4833-870f-96f60ca9d227", | 51 | "id": "5039d785-026b-4833-870f-96f60ca9d227", | ||
52 | "isopen": false, | 52 | "isopen": false, | ||
53 | "landing_page": "https://arxiv.org/abs/2108.04556", | 53 | "landing_page": "https://arxiv.org/abs/2108.04556", | ||
54 | "license_title": null, | 54 | "license_title": null, | ||
55 | "link_orkg": "", | 55 | "link_orkg": "", | ||
56 | "metadata_created": "2024-12-02T18:16:54.955705", | 56 | "metadata_created": "2024-12-02T18:16:54.955705", | ||
n | 57 | "metadata_modified": "2024-12-02T18:16:54.955710", | n | 57 | "metadata_modified": "2024-12-02T18:16:55.286707", |
58 | "name": "syncobert", | 58 | "name": "syncobert", | ||
59 | "notes": "SynCoBERT: Syntax-guided multi-modal contrastive | 59 | "notes": "SynCoBERT: Syntax-guided multi-modal contrastive | ||
60 | pre-training for code representation.", | 60 | pre-training for code representation.", | ||
n | 61 | "num_resources": 0, | n | 61 | "num_resources": 1, |
62 | "num_tags": 5, | 62 | "num_tags": 5, | ||
63 | "organization": { | 63 | "organization": { | ||
64 | "approval_status": "approved", | 64 | "approval_status": "approved", | ||
65 | "created": "2024-11-25T12:11:38.292601", | 65 | "created": "2024-11-25T12:11:38.292601", | ||
66 | "description": "", | 66 | "description": "", | ||
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68 | "image_url": "", | 68 | "image_url": "", | ||
69 | "is_organization": true, | 69 | "is_organization": true, | ||
70 | "name": "no-organization", | 70 | "name": "no-organization", | ||
71 | "state": "active", | 71 | "state": "active", | ||
72 | "title": "No Organization", | 72 | "title": "No Organization", | ||
73 | "type": "organization" | 73 | "type": "organization" | ||
74 | }, | 74 | }, | ||
75 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 75 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
76 | "private": false, | 76 | "private": false, | ||
77 | "relationships_as_object": [], | 77 | "relationships_as_object": [], | ||
78 | "relationships_as_subject": [], | 78 | "relationships_as_subject": [], | ||
t | 79 | "resources": [], | t | 79 | "resources": [ |
80 | { | ||||
81 | "cache_last_updated": null, | ||||
82 | "cache_url": null, | ||||
83 | "created": "2024-12-02T18:38:42", | ||||
84 | "data": [ | ||||
85 | "dcterms:title", | ||||
86 | "dcterms:accessRights", | ||||
87 | "dcterms:creator", | ||||
88 | "dcterms:description", | ||||
89 | "dcterms:issued", | ||||
90 | "dcterms:language", | ||||
91 | "dcterms:identifier", | ||||
92 | "dcat:theme", | ||||
93 | "dcterms:type", | ||||
94 | "dcat:keyword", | ||||
95 | "dcat:landingPage", | ||||
96 | "dcterms:hasVersion", | ||||
97 | "dcterms:format", | ||||
98 | "mls:task", | ||||
99 | "datacite:isDescribedBy" | ||||
100 | ], | ||||
101 | "description": "The json representation of the dataset with its | ||||
102 | distributions based on DCAT.", | ||||
103 | "format": "JSON", | ||||
104 | "hash": "", | ||||
105 | "id": "93595093-4d40-43f1-b549-493cc901395e", | ||||
106 | "last_modified": "2024-12-02T18:16:55.279013", | ||||
107 | "metadata_modified": "2024-12-02T18:16:55.289502", | ||||
108 | "mimetype": "application/json", | ||||
109 | "mimetype_inner": null, | ||||
110 | "name": "Original Metadata", | ||||
111 | "package_id": "5039d785-026b-4833-870f-96f60ca9d227", | ||||
112 | "position": 0, | ||||
113 | "resource_type": null, | ||||
114 | "size": 851, | ||||
115 | "state": "active", | ||||
116 | "url": | ||||
117 | resource/93595093-4d40-43f1-b549-493cc901395e/download/metadata.json", | ||||
118 | "url_type": "upload" | ||||
119 | } | ||||
120 | ], | ||||
80 | "services_used_list": "", | 121 | "services_used_list": "", | ||
81 | "state": "active", | 122 | "state": "active", | ||
82 | "tags": [ | 123 | "tags": [ | ||
83 | { | 124 | { | ||
84 | "display_name": "SynCoBERT", | 125 | "display_name": "SynCoBERT", | ||
85 | "id": "4ca190a0-57a9-4db1-84bf-9b01eefd938c", | 126 | "id": "4ca190a0-57a9-4db1-84bf-9b01eefd938c", | ||
86 | "name": "SynCoBERT", | 127 | "name": "SynCoBERT", | ||
87 | "state": "active", | 128 | "state": "active", | ||
88 | "vocabulary_id": null | 129 | "vocabulary_id": null | ||
89 | }, | 130 | }, | ||
90 | { | 131 | { | ||
91 | "display_name": "code representation", | 132 | "display_name": "code representation", | ||
92 | "id": "935c3540-3171-4a9d-a289-5b2d19593c01", | 133 | "id": "935c3540-3171-4a9d-a289-5b2d19593c01", | ||
93 | "name": "code representation", | 134 | "name": "code representation", | ||
94 | "state": "active", | 135 | "state": "active", | ||
95 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
96 | }, | 137 | }, | ||
97 | { | 138 | { | ||
98 | "display_name": "contrastive pre-training", | 139 | "display_name": "contrastive pre-training", | ||
99 | "id": "e1496186-a2e1-4a55-89c3-8508114da2f0", | 140 | "id": "e1496186-a2e1-4a55-89c3-8508114da2f0", | ||
100 | "name": "contrastive pre-training", | 141 | "name": "contrastive pre-training", | ||
101 | "state": "active", | 142 | "state": "active", | ||
102 | "vocabulary_id": null | 143 | "vocabulary_id": null | ||
103 | }, | 144 | }, | ||
104 | { | 145 | { | ||
105 | "display_name": "multi-modal learning", | 146 | "display_name": "multi-modal learning", | ||
106 | "id": "c43405b5-640f-40d3-be9e-e55b5f5247e3", | 147 | "id": "c43405b5-640f-40d3-be9e-e55b5f5247e3", | ||
107 | "name": "multi-modal learning", | 148 | "name": "multi-modal learning", | ||
108 | "state": "active", | 149 | "state": "active", | ||
109 | "vocabulary_id": null | 150 | "vocabulary_id": null | ||
110 | }, | 151 | }, | ||
111 | { | 152 | { | ||
112 | "display_name": "pre-trained model", | 153 | "display_name": "pre-trained model", | ||
113 | "id": "df4bf91e-1080-4c6c-b5e7-f156963a4f7d", | 154 | "id": "df4bf91e-1080-4c6c-b5e7-f156963a4f7d", | ||
114 | "name": "pre-trained model", | 155 | "name": "pre-trained model", | ||
115 | "state": "active", | 156 | "state": "active", | ||
116 | "vocabulary_id": null | 157 | "vocabulary_id": null | ||
117 | } | 158 | } | ||
118 | ], | 159 | ], | ||
119 | "title": "SynCoBERT", | 160 | "title": "SynCoBERT", | ||
120 | "type": "dataset", | 161 | "type": "dataset", | ||
121 | "version": "" | 162 | "version": "" | ||
122 | } | 163 | } |