Changes
On December 16, 2024 at 6:02:33 PM UTC,
admin:
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Changed value of field
doi_date_published
to2024-12-16
in Twitter dataset -
Changed value of field
doi_status
toTrue
in Twitter dataset -
Added resource Original Metadata to Twitter dataset
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "Wenjin Xie", | 3 | "author": "Wenjin Xie", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.1109/CSCWD54268.2022.9776071", | 6 | "https://doi.org/10.1109/CSCWD54268.2022.9776071", | ||
| 7 | "https://doi.org/10.1145/2872518.2890562", | 7 | "https://doi.org/10.1145/2872518.2890562", | ||
| 8 | "https://doi.org/10.48550/arXiv.1901.07688", | 8 | "https://doi.org/10.48550/arXiv.1901.07688", | ||
| 9 | "https://doi.org/10.7717/peerj-cs.26", | 9 | "https://doi.org/10.7717/peerj-cs.26", | ||
| 10 | "https://doi.org/10.48550/arXiv.2305.13088", | 10 | "https://doi.org/10.48550/arXiv.2305.13088", | ||
| 11 | "https://doi.org/10.48550/arXiv.2210.10662", | 11 | "https://doi.org/10.48550/arXiv.2210.10662", | ||
| 12 | "https://doi.org/10.48550/arXiv.2209.07065", | 12 | "https://doi.org/10.48550/arXiv.2209.07065", | ||
| 13 | "https://doi.org/10.1007/978-3-030-86523-8_7", | 13 | "https://doi.org/10.1007/978-3-030-86523-8_7", | ||
| 14 | "https://doi.org/10.48550/arXiv.1801.07150", | 14 | "https://doi.org/10.48550/arXiv.1801.07150", | ||
| 15 | "https://doi.org/10.1109/AECT47998.2020.9194186", | 15 | "https://doi.org/10.1109/AECT47998.2020.9194186", | ||
| 16 | "https://doi.org/10.1145/3544548.3581402", | 16 | "https://doi.org/10.1145/3544548.3581402", | ||
| 17 | "https://doi.org/10.48550/arXiv.2304.05474" | 17 | "https://doi.org/10.48550/arXiv.2304.05474" | ||
| 18 | ], | 18 | ], | ||
| 19 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 19 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 20 | "defined_in": "https://doi.org/10.48550/arXiv.1902.06818", | 20 | "defined_in": "https://doi.org/10.48550/arXiv.1902.06818", | ||
| 21 | "doi": "10.57702/u3h3zf0u", | 21 | "doi": "10.57702/u3h3zf0u", | ||
| n | 22 | "doi_date_published": null, | n | 22 | "doi_date_published": "2024-12-16", |
| 23 | "doi_publisher": "TIB", | 23 | "doi_publisher": "TIB", | ||
| n | 24 | "doi_status": false, | n | 24 | "doi_status": true, |
| 25 | "domain": "https://service.tib.eu/ldmservice", | 25 | "domain": "https://service.tib.eu/ldmservice", | ||
| 26 | "extra_authors": [ | 26 | "extra_authors": [ | ||
| 27 | { | 27 | { | ||
| 28 | "extra_author": "Tao Jia", | 28 | "extra_author": "Tao Jia", | ||
| 29 | "orcid": "" | 29 | "orcid": "" | ||
| 30 | }, | 30 | }, | ||
| 31 | { | 31 | { | ||
| 32 | "extra_author": "Xiaomeng Wang", | 32 | "extra_author": "Xiaomeng Wang", | ||
| 33 | "orcid": "" | 33 | "orcid": "" | ||
| 34 | } | 34 | } | ||
| 35 | ], | 35 | ], | ||
| 36 | "groups": [ | 36 | "groups": [ | ||
| 37 | { | 37 | { | ||
| 38 | "description": "", | 38 | "description": "", | ||
| 39 | "display_name": "Clustering", | 39 | "display_name": "Clustering", | ||
| 40 | "id": "20ed4da8-7a35-429f-92a0-c7f30914289f", | 40 | "id": "20ed4da8-7a35-429f-92a0-c7f30914289f", | ||
| 41 | "image_display_url": "", | 41 | "image_display_url": "", | ||
| 42 | "name": "clustering", | 42 | "name": "clustering", | ||
| 43 | "title": "Clustering" | 43 | "title": "Clustering" | ||
| 44 | }, | 44 | }, | ||
| 45 | { | 45 | { | ||
| 46 | "description": "", | 46 | "description": "", | ||
| 47 | "display_name": "Emotion Detection", | 47 | "display_name": "Emotion Detection", | ||
| 48 | "id": "51440fa4-5025-42f1-a105-f9525888073f", | 48 | "id": "51440fa4-5025-42f1-a105-f9525888073f", | ||
| 49 | "image_display_url": "", | 49 | "image_display_url": "", | ||
| 50 | "name": "emotion-detection", | 50 | "name": "emotion-detection", | ||
| 51 | "title": "Emotion Detection" | 51 | "title": "Emotion Detection" | ||
| 52 | }, | 52 | }, | ||
| 53 | { | 53 | { | ||
| 54 | "description": "", | 54 | "description": "", | ||
| 55 | "display_name": "Hate Speech Detection", | 55 | "display_name": "Hate Speech Detection", | ||
| 56 | "id": "9b244318-2c52-447e-abe3-3a12204f62f1", | 56 | "id": "9b244318-2c52-447e-abe3-3a12204f62f1", | ||
| 57 | "image_display_url": "", | 57 | "image_display_url": "", | ||
| 58 | "name": "hate-speech-detection", | 58 | "name": "hate-speech-detection", | ||
| 59 | "title": "Hate Speech Detection" | 59 | "title": "Hate Speech Detection" | ||
| 60 | }, | 60 | }, | ||
| 61 | { | 61 | { | ||
| 62 | "description": "", | 62 | "description": "", | ||
| 63 | "display_name": "Influence Maximization", | 63 | "display_name": "Influence Maximization", | ||
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| 65 | "image_display_url": "", | 65 | "image_display_url": "", | ||
| 66 | "name": "influence-maximization", | 66 | "name": "influence-maximization", | ||
| 67 | "title": "Influence Maximization" | 67 | "title": "Influence Maximization" | ||
| 68 | }, | 68 | }, | ||
| 69 | { | 69 | { | ||
| 70 | "description": "", | 70 | "description": "", | ||
| 71 | "display_name": "Information Diffusion", | 71 | "display_name": "Information Diffusion", | ||
| 72 | "id": "98e9cab9-d94d-4e15-80f5-9c59280c5ebf", | 72 | "id": "98e9cab9-d94d-4e15-80f5-9c59280c5ebf", | ||
| 73 | "image_display_url": "", | 73 | "image_display_url": "", | ||
| 74 | "name": "information-diffusion", | 74 | "name": "information-diffusion", | ||
| 75 | "title": "Information Diffusion" | 75 | "title": "Information Diffusion" | ||
| 76 | }, | 76 | }, | ||
| 77 | { | 77 | { | ||
| 78 | "description": "", | 78 | "description": "", | ||
| 79 | "display_name": "Politics", | 79 | "display_name": "Politics", | ||
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| 81 | "image_display_url": "", | 81 | "image_display_url": "", | ||
| 82 | "name": "politics", | 82 | "name": "politics", | ||
| 83 | "title": "Politics" | 83 | "title": "Politics" | ||
| 84 | }, | 84 | }, | ||
| 85 | { | 85 | { | ||
| 86 | "description": "", | 86 | "description": "", | ||
| 87 | "display_name": "Sentiment Analysis", | 87 | "display_name": "Sentiment Analysis", | ||
| 88 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | 88 | "id": "73e9ec3f-0231-49ed-90ff-171e0a9bcbb5", | ||
| 89 | "image_display_url": "", | 89 | "image_display_url": "", | ||
| 90 | "name": "sentiment-analysis", | 90 | "name": "sentiment-analysis", | ||
| 91 | "title": "Sentiment Analysis" | 91 | "title": "Sentiment Analysis" | ||
| 92 | }, | 92 | }, | ||
| 93 | { | 93 | { | ||
| 94 | "description": "", | 94 | "description": "", | ||
| 95 | "display_name": "Social Media", | 95 | "display_name": "Social Media", | ||
| 96 | "id": "b83aca5b-001b-4864-b492-2775932c29d5", | 96 | "id": "b83aca5b-001b-4864-b492-2775932c29d5", | ||
| 97 | "image_display_url": "", | 97 | "image_display_url": "", | ||
| 98 | "name": "social-media", | 98 | "name": "social-media", | ||
| 99 | "title": "Social Media" | 99 | "title": "Social Media" | ||
| 100 | }, | 100 | }, | ||
| 101 | { | 101 | { | ||
| 102 | "description": "", | 102 | "description": "", | ||
| 103 | "display_name": "Social Media Analysis", | 103 | "display_name": "Social Media Analysis", | ||
| 104 | "id": "6dd7e6dc-b5b8-4fb8-8bf0-c1e907b2444c", | 104 | "id": "6dd7e6dc-b5b8-4fb8-8bf0-c1e907b2444c", | ||
| 105 | "image_display_url": "", | 105 | "image_display_url": "", | ||
| 106 | "name": "social-media-analysis", | 106 | "name": "social-media-analysis", | ||
| 107 | "title": "Social Media Analysis" | 107 | "title": "Social Media Analysis" | ||
| 108 | }, | 108 | }, | ||
| 109 | { | 109 | { | ||
| 110 | "description": "", | 110 | "description": "", | ||
| 111 | "display_name": "Social Network", | 111 | "display_name": "Social Network", | ||
| 112 | "id": "1d01a716-85e3-4a2d-b929-1bc55cc55c2d", | 112 | "id": "1d01a716-85e3-4a2d-b929-1bc55cc55c2d", | ||
| 113 | "image_display_url": "", | 113 | "image_display_url": "", | ||
| 114 | "name": "social-network", | 114 | "name": "social-network", | ||
| 115 | "title": "Social Network" | 115 | "title": "Social Network" | ||
| 116 | }, | 116 | }, | ||
| 117 | { | 117 | { | ||
| 118 | "description": "", | 118 | "description": "", | ||
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| 121 | "image_display_url": "", | 121 | "image_display_url": "", | ||
| 122 | "name": "text-analysis", | 122 | "name": "text-analysis", | ||
| 123 | "title": "Text Analysis" | 123 | "title": "Text Analysis" | ||
| 124 | }, | 124 | }, | ||
| 125 | { | 125 | { | ||
| 126 | "description": "", | 126 | "description": "", | ||
| 127 | "display_name": "Text Classification", | 127 | "display_name": "Text Classification", | ||
| 128 | "id": "0707d099-de73-41dc-85f6-93e4efa6bf14", | 128 | "id": "0707d099-de73-41dc-85f6-93e4efa6bf14", | ||
| 129 | "image_display_url": "", | 129 | "image_display_url": "", | ||
| 130 | "name": "text-classification", | 130 | "name": "text-classification", | ||
| 131 | "title": "Text Classification" | 131 | "title": "Text Classification" | ||
| 132 | } | 132 | } | ||
| 133 | ], | 133 | ], | ||
| 134 | "id": "6e91a7bb-40dc-427e-ab49-70a1c2bb5a12", | 134 | "id": "6e91a7bb-40dc-427e-ab49-70a1c2bb5a12", | ||
| 135 | "isopen": false, | 135 | "isopen": false, | ||
| 136 | "landing_page": "https://twitter.com/", | 136 | "landing_page": "https://twitter.com/", | ||
| 137 | "license_title": null, | 137 | "license_title": null, | ||
| 138 | "link_orkg": "", | 138 | "link_orkg": "", | ||
| 139 | "metadata_created": "2024-12-16T18:02:31.305610", | 139 | "metadata_created": "2024-12-16T18:02:31.305610", | ||
| n | 140 | "metadata_modified": "2024-12-16T18:02:31.305616", | n | 140 | "metadata_modified": "2024-12-16T18:02:31.998603", |
| 141 | "name": "twitter-dataset", | 141 | "name": "twitter-dataset", | ||
| 142 | "notes": "The dataset used in the paper is a large-scale graph | 142 | "notes": "The dataset used in the paper is a large-scale graph | ||
| 143 | dataset, consisting of users and shows with multi-attribute edges. The | 143 | dataset, consisting of users and shows with multi-attribute edges. The | ||
| 144 | graph is constructed by selecting user IDs and side information | 144 | graph is constructed by selecting user IDs and side information | ||
| 145 | combinations of shows as nodes, and click/co-click relations and view | 145 | combinations of shows as nodes, and click/co-click relations and view | ||
| 146 | time as edges.", | 146 | time as edges.", | ||
| n | 147 | "num_resources": 0, | n | 147 | "num_resources": 1, |
| 148 | "num_tags": 29, | 148 | "num_tags": 29, | ||
| 149 | "organization": { | 149 | "organization": { | ||
| 150 | "approval_status": "approved", | 150 | "approval_status": "approved", | ||
| 151 | "created": "2024-11-25T12:11:38.292601", | 151 | "created": "2024-11-25T12:11:38.292601", | ||
| 152 | "description": "", | 152 | "description": "", | ||
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| 154 | "image_url": "", | 154 | "image_url": "", | ||
| 155 | "is_organization": true, | 155 | "is_organization": true, | ||
| 156 | "name": "no-organization", | 156 | "name": "no-organization", | ||
| 157 | "state": "active", | 157 | "state": "active", | ||
| 158 | "title": "No Organization", | 158 | "title": "No Organization", | ||
| 159 | "type": "organization" | 159 | "type": "organization" | ||
| 160 | }, | 160 | }, | ||
| 161 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 161 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 162 | "private": false, | 162 | "private": false, | ||
| 163 | "relationships_as_object": [], | 163 | "relationships_as_object": [], | ||
| 164 | "relationships_as_subject": [], | 164 | "relationships_as_subject": [], | ||
| t | 165 | "resources": [], | t | 165 | "resources": [ |
| 166 | { | ||||
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| 168 | "cache_url": null, | ||||
| 169 | "created": "2024-12-16T18:25:32", | ||||
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| 172 | "dcterms:accessRights", | ||||
| 173 | "dcterms:creator", | ||||
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| 175 | "dcterms:issued", | ||||
| 176 | "dcterms:language", | ||||
| 177 | "dcterms:identifier", | ||||
| 178 | "dcat:theme", | ||||
| 179 | "dcterms:type", | ||||
| 180 | "dcat:keyword", | ||||
| 181 | "dcat:landingPage", | ||||
| 182 | "dcterms:hasVersion", | ||||
| 183 | "dcterms:format", | ||||
| 184 | "mls:task", | ||||
| 185 | "datacite:isDescribedBy" | ||||
| 186 | ], | ||||
| 187 | "description": "The json representation of the dataset with its | ||||
| 188 | distributions based on DCAT.", | ||||
| 189 | "format": "JSON", | ||||
| 190 | "hash": "", | ||||
| 191 | "id": "a5c23a5e-429f-4008-b279-5ac6c8e2cea6", | ||||
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| 196 | "name": "Original Metadata", | ||||
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| 203 | resource/a5c23a5e-429f-4008-b279-5ac6c8e2cea6/download/metadata.json", | ||||
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| 167 | "state": "active", | 208 | "state": "active", | ||
| 168 | "tags": [ | 209 | "tags": [ | ||
| 169 | { | 210 | { | ||
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| 174 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
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| 177 | "display_name": "Clustering", | 218 | "display_name": "Clustering", | ||
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| 179 | "name": "Clustering", | 220 | "name": "Clustering", | ||
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| 181 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
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| 188 | "vocabulary_id": null | 229 | "vocabulary_id": null | ||
| 189 | }, | 230 | }, | ||
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| 197 | { | 238 | { | ||
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| 203 | }, | 244 | }, | ||
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| 207 | "name": "Influence Maximization", | 248 | "name": "Influence Maximization", | ||
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| 209 | "vocabulary_id": null | 250 | "vocabulary_id": null | ||
| 210 | }, | 251 | }, | ||
| 211 | { | 252 | { | ||
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| 214 | "name": "Information Diffusion", | 255 | "name": "Information Diffusion", | ||
| 215 | "state": "active", | 256 | "state": "active", | ||
| 216 | "vocabulary_id": null | 257 | "vocabulary_id": null | ||
| 217 | }, | 258 | }, | ||
| 218 | { | 259 | { | ||
| 219 | "display_name": "Information Spread", | 260 | "display_name": "Information Spread", | ||
| 220 | "id": "d8d3c1ca-ba99-4974-a50b-864d915412de", | 261 | "id": "d8d3c1ca-ba99-4974-a50b-864d915412de", | ||
| 221 | "name": "Information Spread", | 262 | "name": "Information Spread", | ||
| 222 | "state": "active", | 263 | "state": "active", | ||
| 223 | "vocabulary_id": null | 264 | "vocabulary_id": null | ||
| 224 | }, | 265 | }, | ||
| 225 | { | 266 | { | ||
| 226 | "display_name": "Microblogging", | 267 | "display_name": "Microblogging", | ||
| 227 | "id": "692cea18-8f45-40f1-bc22-60a816845821", | 268 | "id": "692cea18-8f45-40f1-bc22-60a816845821", | ||
| 228 | "name": "Microblogging", | 269 | "name": "Microblogging", | ||
| 229 | "state": "active", | 270 | "state": "active", | ||
| 230 | "vocabulary_id": null | 271 | "vocabulary_id": null | ||
| 231 | }, | 272 | }, | ||
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| 236 | "state": "active", | 277 | "state": "active", | ||
| 237 | "vocabulary_id": null | 278 | "vocabulary_id": null | ||
| 238 | }, | 279 | }, | ||
| 239 | { | 280 | { | ||
| 240 | "display_name": "Retweets", | 281 | "display_name": "Retweets", | ||
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| 242 | "name": "Retweets", | 283 | "name": "Retweets", | ||
| 243 | "state": "active", | 284 | "state": "active", | ||
| 244 | "vocabulary_id": null | 285 | "vocabulary_id": null | ||
| 245 | }, | 286 | }, | ||
| 246 | { | 287 | { | ||
| 247 | "display_name": "Sentiment Analysis", | 288 | "display_name": "Sentiment Analysis", | ||
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| 249 | "name": "Sentiment Analysis", | 290 | "name": "Sentiment Analysis", | ||
| 250 | "state": "active", | 291 | "state": "active", | ||
| 251 | "vocabulary_id": null | 292 | "vocabulary_id": null | ||
| 252 | }, | 293 | }, | ||
| 253 | { | 294 | { | ||
| 254 | "display_name": "Social Media", | 295 | "display_name": "Social Media", | ||
| 255 | "id": "b485936d-4587-46d6-bbcd-40224d18c059", | 296 | "id": "b485936d-4587-46d6-bbcd-40224d18c059", | ||
| 256 | "name": "Social Media", | 297 | "name": "Social Media", | ||
| 257 | "state": "active", | 298 | "state": "active", | ||
| 258 | "vocabulary_id": null | 299 | "vocabulary_id": null | ||
| 259 | }, | 300 | }, | ||
| 260 | { | 301 | { | ||
| 261 | "display_name": "Social Network", | 302 | "display_name": "Social Network", | ||
| 262 | "id": "1e1ca6fe-54c3-421f-ad9c-fa0574bb0a1b", | 303 | "id": "1e1ca6fe-54c3-421f-ad9c-fa0574bb0a1b", | ||
| 263 | "name": "Social Network", | 304 | "name": "Social Network", | ||
| 264 | "state": "active", | 305 | "state": "active", | ||
| 265 | "vocabulary_id": null | 306 | "vocabulary_id": null | ||
| 266 | }, | 307 | }, | ||
| 267 | { | 308 | { | ||
| 268 | "display_name": "Twitter", | 309 | "display_name": "Twitter", | ||
| 269 | "id": "08db1ce0-8141-43dd-b75e-80f3767d7e55", | 310 | "id": "08db1ce0-8141-43dd-b75e-80f3767d7e55", | ||
| 270 | "name": "Twitter", | 311 | "name": "Twitter", | ||
| 271 | "state": "active", | 312 | "state": "active", | ||
| 272 | "vocabulary_id": null | 313 | "vocabulary_id": null | ||
| 273 | }, | 314 | }, | ||
| 274 | { | 315 | { | ||
| 275 | "display_name": "Twitter Data", | 316 | "display_name": "Twitter Data", | ||
| 276 | "id": "4ce18a8a-0957-495c-9c37-079a6e7cb049", | 317 | "id": "4ce18a8a-0957-495c-9c37-079a6e7cb049", | ||
| 277 | "name": "Twitter Data", | 318 | "name": "Twitter Data", | ||
| 278 | "state": "active", | 319 | "state": "active", | ||
| 279 | "vocabulary_id": null | 320 | "vocabulary_id": null | ||
| 280 | }, | 321 | }, | ||
| 281 | { | 322 | { | ||
| 282 | "display_name": "Twitter dataset", | 323 | "display_name": "Twitter dataset", | ||
| 283 | "id": "410ea90f-9e83-4546-a7ee-4e9e9c109c1a", | 324 | "id": "410ea90f-9e83-4546-a7ee-4e9e9c109c1a", | ||
| 284 | "name": "Twitter dataset", | 325 | "name": "Twitter dataset", | ||
| 285 | "state": "active", | 326 | "state": "active", | ||
| 286 | "vocabulary_id": null | 327 | "vocabulary_id": null | ||
| 287 | }, | 328 | }, | ||
| 288 | { | 329 | { | ||
| 289 | "display_name": "Twitter sentiment analysis", | 330 | "display_name": "Twitter sentiment analysis", | ||
| 290 | "id": "1f8ad081-9e23-4dac-af3f-81508cca2d7a", | 331 | "id": "1f8ad081-9e23-4dac-af3f-81508cca2d7a", | ||
| 291 | "name": "Twitter sentiment analysis", | 332 | "name": "Twitter sentiment analysis", | ||
| 292 | "state": "active", | 333 | "state": "active", | ||
| 293 | "vocabulary_id": null | 334 | "vocabulary_id": null | ||
| 294 | }, | 335 | }, | ||
| 295 | { | 336 | { | ||
| 296 | "display_name": "Weibo", | 337 | "display_name": "Weibo", | ||
| 297 | "id": "f4c72463-651e-4e20-ba50-a9b2fddc6b62", | 338 | "id": "f4c72463-651e-4e20-ba50-a9b2fddc6b62", | ||
| 298 | "name": "Weibo", | 339 | "name": "Weibo", | ||
| 299 | "state": "active", | 340 | "state": "active", | ||
| 300 | "vocabulary_id": null | 341 | "vocabulary_id": null | ||
| 301 | }, | 342 | }, | ||
| 302 | { | 343 | { | ||
| 303 | "display_name": "emotion detection", | 344 | "display_name": "emotion detection", | ||
| 304 | "id": "2d1233d8-2ac1-4dcd-9b88-bc743cd07b45", | 345 | "id": "2d1233d8-2ac1-4dcd-9b88-bc743cd07b45", | ||
| 305 | "name": "emotion detection", | 346 | "name": "emotion detection", | ||
| 306 | "state": "active", | 347 | "state": "active", | ||
| 307 | "vocabulary_id": null | 348 | "vocabulary_id": null | ||
| 308 | }, | 349 | }, | ||
| 309 | { | 350 | { | ||
| 310 | "display_name": "hate speech detection", | 351 | "display_name": "hate speech detection", | ||
| 311 | "id": "4c6940fa-b834-4b20-b2c2-0789a41ea70d", | 352 | "id": "4c6940fa-b834-4b20-b2c2-0789a41ea70d", | ||
| 312 | "name": "hate speech detection", | 353 | "name": "hate speech detection", | ||
| 313 | "state": "active", | 354 | "state": "active", | ||
| 314 | "vocabulary_id": null | 355 | "vocabulary_id": null | ||
| 315 | }, | 356 | }, | ||
| 316 | { | 357 | { | ||
| 317 | "display_name": "malicious spelling correction", | 358 | "display_name": "malicious spelling correction", | ||
| 318 | "id": "6834dc4c-62d4-460c-ad02-ac955283b308", | 359 | "id": "6834dc4c-62d4-460c-ad02-ac955283b308", | ||
| 319 | "name": "malicious spelling correction", | 360 | "name": "malicious spelling correction", | ||
| 320 | "state": "active", | 361 | "state": "active", | ||
| 321 | "vocabulary_id": null | 362 | "vocabulary_id": null | ||
| 322 | }, | 363 | }, | ||
| 323 | { | 364 | { | ||
| 324 | "display_name": "multivariate", | 365 | "display_name": "multivariate", | ||
| 325 | "id": "a19c81b7-4456-4351-af8b-391483924a87", | 366 | "id": "a19c81b7-4456-4351-af8b-391483924a87", | ||
| 326 | "name": "multivariate", | 367 | "name": "multivariate", | ||
| 327 | "state": "active", | 368 | "state": "active", | ||
| 328 | "vocabulary_id": null | 369 | "vocabulary_id": null | ||
| 329 | }, | 370 | }, | ||
| 330 | { | 371 | { | ||
| 331 | "display_name": "sentiment analysis", | 372 | "display_name": "sentiment analysis", | ||
| 332 | "id": "ab481ec4-1a05-4f68-96d7-44beb1d10f63", | 373 | "id": "ab481ec4-1a05-4f68-96d7-44beb1d10f63", | ||
| 333 | "name": "sentiment analysis", | 374 | "name": "sentiment analysis", | ||
| 334 | "state": "active", | 375 | "state": "active", | ||
| 335 | "vocabulary_id": null | 376 | "vocabulary_id": null | ||
| 336 | }, | 377 | }, | ||
| 337 | { | 378 | { | ||
| 338 | "display_name": "sexism detection", | 379 | "display_name": "sexism detection", | ||
| 339 | "id": "5e5b0caa-a6c6-4813-ac9f-e5c729305539", | 380 | "id": "5e5b0caa-a6c6-4813-ac9f-e5c729305539", | ||
| 340 | "name": "sexism detection", | 381 | "name": "sexism detection", | ||
| 341 | "state": "active", | 382 | "state": "active", | ||
| 342 | "vocabulary_id": null | 383 | "vocabulary_id": null | ||
| 343 | }, | 384 | }, | ||
| 344 | { | 385 | { | ||
| 345 | "display_name": "text analysis", | 386 | "display_name": "text analysis", | ||
| 346 | "id": "8dede2ad-b59f-4a39-b2b2-4259c7ebcaea", | 387 | "id": "8dede2ad-b59f-4a39-b2b2-4259c7ebcaea", | ||
| 347 | "name": "text analysis", | 388 | "name": "text analysis", | ||
| 348 | "state": "active", | 389 | "state": "active", | ||
| 349 | "vocabulary_id": null | 390 | "vocabulary_id": null | ||
| 350 | }, | 391 | }, | ||
| 351 | { | 392 | { | ||
| 352 | "display_name": "text classification", | 393 | "display_name": "text classification", | ||
| 353 | "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d", | 394 | "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d", | ||
| 354 | "name": "text classification", | 395 | "name": "text classification", | ||
| 355 | "state": "active", | 396 | "state": "active", | ||
| 356 | "vocabulary_id": null | 397 | "vocabulary_id": null | ||
| 357 | }, | 398 | }, | ||
| 358 | { | 399 | { | ||
| 359 | "display_name": "toxicity detection", | 400 | "display_name": "toxicity detection", | ||
| 360 | "id": "75121db6-e77a-4d10-960f-1eff434d3479", | 401 | "id": "75121db6-e77a-4d10-960f-1eff434d3479", | ||
| 361 | "name": "toxicity detection", | 402 | "name": "toxicity detection", | ||
| 362 | "state": "active", | 403 | "state": "active", | ||
| 363 | "vocabulary_id": null | 404 | "vocabulary_id": null | ||
| 364 | }, | 405 | }, | ||
| 365 | { | 406 | { | ||
| 366 | "display_name": "various types of links", | 407 | "display_name": "various types of links", | ||
| 367 | "id": "dbd63f51-2817-41be-b38e-82057b9b481f", | 408 | "id": "dbd63f51-2817-41be-b38e-82057b9b481f", | ||
| 368 | "name": "various types of links", | 409 | "name": "various types of links", | ||
| 369 | "state": "active", | 410 | "state": "active", | ||
| 370 | "vocabulary_id": null | 411 | "vocabulary_id": null | ||
| 371 | } | 412 | } | ||
| 372 | ], | 413 | ], | ||
| 373 | "title": "Twitter dataset", | 414 | "title": "Twitter dataset", | ||
| 374 | "type": "dataset", | 415 | "type": "dataset", | ||
| 375 | "version": "" | 416 | "version": "" | ||
| 376 | } | 417 | } |