Changes
On December 2, 2024 at 11:59:38 PM UTC,
admin:
-
Changed value of field
doi_status
toTrue
in WSJ -
Changed value of field
doi_date_published
to2024-12-02
in WSJ -
Added resource Original Metadata to WSJ
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "Andros Tjandra", | 3 | "author": "Andros Tjandra", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.48550/arXiv.1412.7110", | 6 | "https://doi.org/10.48550/arXiv.1412.7110", | ||
| 7 | "https://doi.org/10.48550/arXiv.1807.08280", | 7 | "https://doi.org/10.48550/arXiv.1807.08280", | ||
| 8 | "https://doi.org/10.48550/arXiv.2107.04289", | 8 | "https://doi.org/10.48550/arXiv.2107.04289", | ||
| 9 | "https://doi.org/10.48550/arXiv.1904.05862" | 9 | "https://doi.org/10.48550/arXiv.1904.05862" | ||
| 10 | ], | 10 | ], | ||
| 11 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 11 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 12 | "defined_in": "https://doi.org/10.48550/arXiv.1906.10876", | 12 | "defined_in": "https://doi.org/10.48550/arXiv.1906.10876", | ||
| 13 | "doi": "10.57702/5n00l3tl", | 13 | "doi": "10.57702/5n00l3tl", | ||
| n | 14 | "doi_date_published": null, | n | 14 | "doi_date_published": "2024-12-02", |
| 15 | "doi_publisher": "TIB", | 15 | "doi_publisher": "TIB", | ||
| n | 16 | "doi_status": false, | n | 16 | "doi_status": true, |
| 17 | "domain": "https://service.tib.eu/ldmservice", | 17 | "domain": "https://service.tib.eu/ldmservice", | ||
| 18 | "extra_authors": [ | 18 | "extra_authors": [ | ||
| 19 | { | 19 | { | ||
| 20 | "extra_author": "Sakriani Sakti", | 20 | "extra_author": "Sakriani Sakti", | ||
| 21 | "orcid": "" | 21 | "orcid": "" | ||
| 22 | }, | 22 | }, | ||
| 23 | { | 23 | { | ||
| 24 | "extra_author": "Satoshi Nakamura", | 24 | "extra_author": "Satoshi Nakamura", | ||
| 25 | "orcid": "" | 25 | "orcid": "" | ||
| 26 | } | 26 | } | ||
| 27 | ], | 27 | ], | ||
| 28 | "groups": [ | 28 | "groups": [ | ||
| 29 | { | 29 | { | ||
| 30 | "description": "", | 30 | "description": "", | ||
| 31 | "display_name": "Speech Recognition", | 31 | "display_name": "Speech Recognition", | ||
| 32 | "id": "78414f7c-330f-49b5-bf33-40f8c2ac4928", | 32 | "id": "78414f7c-330f-49b5-bf33-40f8c2ac4928", | ||
| 33 | "image_display_url": "", | 33 | "image_display_url": "", | ||
| 34 | "name": "speech-recognition", | 34 | "name": "speech-recognition", | ||
| 35 | "title": "Speech Recognition" | 35 | "title": "Speech Recognition" | ||
| 36 | }, | 36 | }, | ||
| 37 | { | 37 | { | ||
| 38 | "description": "", | 38 | "description": "", | ||
| 39 | "display_name": "Speech Synthesis", | 39 | "display_name": "Speech Synthesis", | ||
| 40 | "id": "3b8f8411-cbd1-410f-92f8-5ecbc4095d46", | 40 | "id": "3b8f8411-cbd1-410f-92f8-5ecbc4095d46", | ||
| 41 | "image_display_url": "", | 41 | "image_display_url": "", | ||
| 42 | "name": "speech-synthesis", | 42 | "name": "speech-synthesis", | ||
| 43 | "title": "Speech Synthesis" | 43 | "title": "Speech Synthesis" | ||
| 44 | } | 44 | } | ||
| 45 | ], | 45 | ], | ||
| 46 | "id": "3a19235e-9212-440e-b20f-870701566a41", | 46 | "id": "3a19235e-9212-440e-b20f-870701566a41", | ||
| 47 | "isopen": false, | 47 | "isopen": false, | ||
| 48 | "landing_page": "https://ttssample2018v1.netlify.com", | 48 | "landing_page": "https://ttssample2018v1.netlify.com", | ||
| 49 | "license_title": null, | 49 | "license_title": null, | ||
| 50 | "link_orkg": "", | 50 | "link_orkg": "", | ||
| 51 | "metadata_created": "2024-12-02T23:59:37.310852", | 51 | "metadata_created": "2024-12-02T23:59:37.310852", | ||
| n | 52 | "metadata_modified": "2024-12-02T23:59:37.310859", | n | 52 | "metadata_modified": "2024-12-02T23:59:37.869295", |
| 53 | "name": "wsj", | 53 | "name": "wsj", | ||
| 54 | "notes": "The WSJ corpus is a large vocabulary continuous speech | 54 | "notes": "The WSJ corpus is a large vocabulary continuous speech | ||
| 55 | recognition dataset. It contains 36416 sequences, representing around | 55 | recognition dataset. It contains 36416 sequences, representing around | ||
| 56 | 80 hours of speech.", | 56 | 80 hours of speech.", | ||
| n | 57 | "num_resources": 0, | n | 57 | "num_resources": 1, |
| 58 | "num_tags": 11, | 58 | "num_tags": 11, | ||
| 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": "2024-12-03T00:20:35", | ||||
| 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": "9fc2f0e2-838e-4623-a40c-bb2b521d926f", | ||||
| 102 | "last_modified": "2024-12-02T23:59:37.861404", | ||||
| 103 | "metadata_modified": "2024-12-02T23:59:37.872289", | ||||
| 104 | "mimetype": "application/json", | ||||
| 105 | "mimetype_inner": null, | ||||
| 106 | "name": "Original Metadata", | ||||
| 107 | "package_id": "3a19235e-9212-440e-b20f-870701566a41", | ||||
| 108 | "position": 0, | ||||
| 109 | "resource_type": null, | ||||
| 110 | "size": 1042, | ||||
| 111 | "state": "active", | ||||
| 112 | "url": | ||||
| 113 | resource/9fc2f0e2-838e-4623-a40c-bb2b521d926f/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": "ASR", | 121 | "display_name": "ASR", | ||
| 81 | "id": "337b7268-6e46-4ab2-b3dc-ebd99be997b0", | 122 | "id": "337b7268-6e46-4ab2-b3dc-ebd99be997b0", | ||
| 82 | "name": "ASR", | 123 | "name": "ASR", | ||
| 83 | "state": "active", | 124 | "state": "active", | ||
| 84 | "vocabulary_id": null | 125 | "vocabulary_id": null | ||
| 85 | }, | 126 | }, | ||
| 86 | { | 127 | { | ||
| 87 | "display_name": "Audio Data", | 128 | "display_name": "Audio Data", | ||
| 88 | "id": "f9c9eba2-b2c9-4f85-b32e-0db48aedf1d3", | 129 | "id": "f9c9eba2-b2c9-4f85-b32e-0db48aedf1d3", | ||
| 89 | "name": "Audio Data", | 130 | "name": "Audio Data", | ||
| 90 | "state": "active", | 131 | "state": "active", | ||
| 91 | "vocabulary_id": null | 132 | "vocabulary_id": null | ||
| 92 | }, | 133 | }, | ||
| 93 | { | 134 | { | ||
| 94 | "display_name": "Continuous Speech Recognition", | 135 | "display_name": "Continuous Speech Recognition", | ||
| 95 | "id": "97ad8546-bdc1-45fc-9278-477c16b4b1e0", | 136 | "id": "97ad8546-bdc1-45fc-9278-477c16b4b1e0", | ||
| 96 | "name": "Continuous Speech Recognition", | 137 | "name": "Continuous Speech Recognition", | ||
| 97 | "state": "active", | 138 | "state": "active", | ||
| 98 | "vocabulary_id": null | 139 | "vocabulary_id": null | ||
| 99 | }, | 140 | }, | ||
| 100 | { | 141 | { | ||
| 101 | "display_name": "Corpus", | 142 | "display_name": "Corpus", | ||
| 102 | "id": "5e434f4b-89f6-489e-9e6e-d2ff6003d493", | 143 | "id": "5e434f4b-89f6-489e-9e6e-d2ff6003d493", | ||
| 103 | "name": "Corpus", | 144 | "name": "Corpus", | ||
| 104 | "state": "active", | 145 | "state": "active", | ||
| 105 | "vocabulary_id": null | 146 | "vocabulary_id": null | ||
| 106 | }, | 147 | }, | ||
| 107 | { | 148 | { | ||
| 108 | "display_name": "Encoder-Decoder", | 149 | "display_name": "Encoder-Decoder", | ||
| 109 | "id": "dbd74912-71c5-4140-babb-2ffd2894654e", | 150 | "id": "dbd74912-71c5-4140-babb-2ffd2894654e", | ||
| 110 | "name": "Encoder-Decoder", | 151 | "name": "Encoder-Decoder", | ||
| 111 | "state": "active", | 152 | "state": "active", | ||
| 112 | "vocabulary_id": null | 153 | "vocabulary_id": null | ||
| 113 | }, | 154 | }, | ||
| 114 | { | 155 | { | ||
| 115 | "display_name": "Large Vocabulary", | 156 | "display_name": "Large Vocabulary", | ||
| 116 | "id": "e702d5ce-7b15-4735-aa93-5ba6df1a74a7", | 157 | "id": "e702d5ce-7b15-4735-aa93-5ba6df1a74a7", | ||
| 117 | "name": "Large Vocabulary", | 158 | "name": "Large Vocabulary", | ||
| 118 | "state": "active", | 159 | "state": "active", | ||
| 119 | "vocabulary_id": null | 160 | "vocabulary_id": null | ||
| 120 | }, | 161 | }, | ||
| 121 | { | 162 | { | ||
| 122 | "display_name": "Sequence-to-Sequence", | 163 | "display_name": "Sequence-to-Sequence", | ||
| 123 | "id": "cc2d6516-8999-41f2-a219-38c868ef6b1c", | 164 | "id": "cc2d6516-8999-41f2-a219-38c868ef6b1c", | ||
| 124 | "name": "Sequence-to-Sequence", | 165 | "name": "Sequence-to-Sequence", | ||
| 125 | "state": "active", | 166 | "state": "active", | ||
| 126 | "vocabulary_id": null | 167 | "vocabulary_id": null | ||
| 127 | }, | 168 | }, | ||
| 128 | { | 169 | { | ||
| 129 | "display_name": "Speech Recognition", | 170 | "display_name": "Speech Recognition", | ||
| 130 | "id": "eebd420b-8b14-4294-ade4-4917392439bf", | 171 | "id": "eebd420b-8b14-4294-ade4-4917392439bf", | ||
| 131 | "name": "Speech Recognition", | 172 | "name": "Speech Recognition", | ||
| 132 | "state": "active", | 173 | "state": "active", | ||
| 133 | "vocabulary_id": null | 174 | "vocabulary_id": null | ||
| 134 | }, | 175 | }, | ||
| 135 | { | 176 | { | ||
| 136 | "display_name": "TTS", | 177 | "display_name": "TTS", | ||
| 137 | "id": "6e285a03-a846-4a0c-a323-86a9f28d60d7", | 178 | "id": "6e285a03-a846-4a0c-a323-86a9f28d60d7", | ||
| 138 | "name": "TTS", | 179 | "name": "TTS", | ||
| 139 | "state": "active", | 180 | "state": "active", | ||
| 140 | "vocabulary_id": null | 181 | "vocabulary_id": null | ||
| 141 | }, | 182 | }, | ||
| 142 | { | 183 | { | ||
| 143 | "display_name": "Unlabeled Data", | 184 | "display_name": "Unlabeled Data", | ||
| 144 | "id": "dd06b86a-34d0-4f70-9f07-96c2dd0e4fb9", | 185 | "id": "dd06b86a-34d0-4f70-9f07-96c2dd0e4fb9", | ||
| 145 | "name": "Unlabeled Data", | 186 | "name": "Unlabeled Data", | ||
| 146 | "state": "active", | 187 | "state": "active", | ||
| 147 | "vocabulary_id": null | 188 | "vocabulary_id": null | ||
| 148 | }, | 189 | }, | ||
| 149 | { | 190 | { | ||
| 150 | "display_name": "WSJ", | 191 | "display_name": "WSJ", | ||
| 151 | "id": "eb48710a-1e87-4f7d-a1bc-3dfc55001561", | 192 | "id": "eb48710a-1e87-4f7d-a1bc-3dfc55001561", | ||
| 152 | "name": "WSJ", | 193 | "name": "WSJ", | ||
| 153 | "state": "active", | 194 | "state": "active", | ||
| 154 | "vocabulary_id": null | 195 | "vocabulary_id": null | ||
| 155 | } | 196 | } | ||
| 156 | ], | 197 | ], | ||
| 157 | "title": "WSJ", | 198 | "title": "WSJ", | ||
| 158 | "type": "dataset", | 199 | "type": "dataset", | ||
| 159 | "version": "" | 200 | "version": "" | ||
| 160 | } | 201 | } |