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En el instante 5 de marzo de 2025, 8:03:47 UTC,

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Subido un nuevo fichero al recurso Dataset https://digital.csic.es/bitstream/10261/346579/1/claramed_synt_simp_aligned.tsv en CLARA-MeD simplified sentences
f | 1 | { | f | 1 | { |
2 | "Observaciones": { | 2 | "Observaciones": { | ||
3 | "en": "Recommended citation for this dataset: Bartolom\u00e9 | 3 | "en": "Recommended citation for this dataset: Bartolom\u00e9 | ||
4 | Rodr\u00edguez, Roc\u00edo; Terroba Reinares, Ana Rosa; | 4 | Rodr\u00edguez, Roc\u00edo; Terroba Reinares, Ana Rosa; | ||
5 | Campillos-Llanos, Leonardo; 2024; CLARA-MeD simplified sentences | 5 | Campillos-Llanos, Leonardo; 2024; CLARA-MeD simplified sentences | ||
6 | [Dataset]; DIGITAL.CSIC; https://doi.org/10.20350/digitalCSIC/16110", | 6 | [Dataset]; DIGITAL.CSIC; https://doi.org/10.20350/digitalCSIC/16110", | ||
7 | "es": "Cita recomendada para este dataset: Bartolom\u00e9 | 7 | "es": "Cita recomendada para este dataset: Bartolom\u00e9 | ||
8 | Rodr\u00edguez, Roc\u00edo; Terroba Reinares, Ana Rosa; | 8 | Rodr\u00edguez, Roc\u00edo; Terroba Reinares, Ana Rosa; | ||
9 | Campillos-Llanos, Leonardo; 2024; CLARA-MeD simplified sentences | 9 | Campillos-Llanos, Leonardo; 2024; CLARA-MeD simplified sentences | ||
10 | [Dataset]; DIGITAL.CSIC; https://doi.org/10.20350/digitalCSIC/16110" | 10 | [Dataset]; DIGITAL.CSIC; https://doi.org/10.20350/digitalCSIC/16110" | ||
11 | }, | 11 | }, | ||
12 | "author": null, | 12 | "author": null, | ||
13 | "author_email": null, | 13 | "author_email": null, | ||
14 | "autor": { | 14 | "autor": { | ||
15 | "en": [ | 15 | "en": [ | ||
16 | "Leonardo Campillos-Llanos", | 16 | "Leonardo Campillos-Llanos", | ||
17 | "Roc\u00edo Bartolom\u00e9 Rodr\u00edguez", | 17 | "Roc\u00edo Bartolom\u00e9 Rodr\u00edguez", | ||
18 | "Ana Rosa Terroba Reinares" | 18 | "Ana Rosa Terroba Reinares" | ||
19 | ], | 19 | ], | ||
20 | "es": [ | 20 | "es": [ | ||
21 | "Leonardo Campillos-Llanos", | 21 | "Leonardo Campillos-Llanos", | ||
22 | "Roc\u00edo Bartolom\u00e9 Rodr\u00edguez", | 22 | "Roc\u00edo Bartolom\u00e9 Rodr\u00edguez", | ||
23 | "Ana Rosa Terroba-Reinares" | 23 | "Ana Rosa Terroba-Reinares" | ||
24 | ] | 24 | ] | ||
25 | }, | 25 | }, | ||
26 | "conforms_to": [], | 26 | "conforms_to": [], | ||
27 | "coverage_new": { | 27 | "coverage_new": { | ||
28 | "1": { | 28 | "1": { | ||
29 | "from": "2024-02-09T00:00:00" | 29 | "from": "2024-02-09T00:00:00" | ||
30 | } | 30 | } | ||
31 | }, | 31 | }, | ||
32 | "creator_user_id": "196556b3-e0c4-4c51-a9e6-f51cc752bc37", | 32 | "creator_user_id": "196556b3-e0c4-4c51-a9e6-f51cc752bc37", | ||
33 | "description": { | 33 | "description": { | ||
34 | "en": "This dataset contains 1200 manually simplified sentences | 34 | "en": "This dataset contains 1200 manually simplified sentences | ||
35 | (144 019 tokens) from clinical trials in Spanish. A total of 1040 | 35 | (144 019 tokens) from clinical trials in Spanish. A total of 1040 | ||
36 | announcements from the European Clinical Trials Register (EudraCT) | 36 | announcements from the European Clinical Trials Register (EudraCT) | ||
37 | were analyzed to select sentences with ambiguities or exceeding 25 | 37 | were analyzed to select sentences with ambiguities or exceeding 25 | ||
38 | words. Simplification criteria were devised in an annotation | 38 | words. Simplification criteria were devised in an annotation | ||
39 | guideline, which is released publicly along the dataset.\r\n\r\nThis | 39 | guideline, which is released publicly along the dataset.\r\n\r\nThis | ||
40 | resource was collected in the CLARA-MeD project, with the goal of | 40 | resource was collected in the CLARA-MeD project, with the goal of | ||
41 | simplifying medical texts in the Spanish language and reduce the | 41 | simplifying medical texts in the Spanish language and reduce the | ||
42 | language barrier to patient's informed decision making. In particular, | 42 | language barrier to patient's informed decision making. In particular, | ||
43 | the project aims at developing linguistic resources for automatic | 43 | the project aims at developing linguistic resources for automatic | ||
44 | medical term simplification in Spanish; and conducting experiments in | 44 | medical term simplification in Spanish; and conducting experiments in | ||
45 | automatic text simplification.", | 45 | automatic text simplification.", | ||
46 | "es": "This dataset contains 1200 manually simplified sentences | 46 | "es": "This dataset contains 1200 manually simplified sentences | ||
47 | (144 019 tokens) from clinical trials in Spanish. A total of 1040 | 47 | (144 019 tokens) from clinical trials in Spanish. A total of 1040 | ||
48 | announcements from the European Clinical Trials Register (EudraCT) | 48 | announcements from the European Clinical Trials Register (EudraCT) | ||
49 | were analyzed to select sentences with ambiguities or exceeding 25 | 49 | were analyzed to select sentences with ambiguities or exceeding 25 | ||
50 | words. Simplification criteria were devised in an annotation | 50 | words. Simplification criteria were devised in an annotation | ||
51 | guideline, which is released publicly along the dataset.\r\n\r\nThis | 51 | guideline, which is released publicly along the dataset.\r\n\r\nThis | ||
52 | resource was collected in the CLARA-MeD project, with the goal of | 52 | resource was collected in the CLARA-MeD project, with the goal of | ||
53 | simplifying medical texts in the Spanish language and reduce the | 53 | simplifying medical texts in the Spanish language and reduce the | ||
54 | language barrier to patient's informed decision making. In particular, | 54 | language barrier to patient's informed decision making. In particular, | ||
55 | the project aims at developing linguistic resources for automatic | 55 | the project aims at developing linguistic resources for automatic | ||
56 | medical term simplification in Spanish; and conducting experiments in | 56 | medical term simplification in Spanish; and conducting experiments in | ||
57 | automatic text simplification." | 57 | automatic text simplification." | ||
58 | }, | 58 | }, | ||
59 | "groups": [ | 59 | "groups": [ | ||
60 | { | 60 | { | ||
61 | "description": "", | 61 | "description": "", | ||
62 | "display_name": "Ling\u00fc\u00edstica", | 62 | "display_name": "Ling\u00fc\u00edstica", | ||
63 | "id": "372aa551-b8e2-47fd-bc5e-0f807f9b09d6", | 63 | "id": "372aa551-b8e2-47fd-bc5e-0f807f9b09d6", | ||
64 | "image_display_url": | 64 | "image_display_url": | ||
65 | s.cchs.csic.es/uploads/group/2024-09-24-155551.755581Linguistica.png", | 65 | s.cchs.csic.es/uploads/group/2024-09-24-155551.755581Linguistica.png", | ||
66 | "name": "linguistica", | 66 | "name": "linguistica", | ||
67 | "title": "Ling\u00fc\u00edstica" | 67 | "title": "Ling\u00fc\u00edstica" | ||
68 | }, | 68 | }, | ||
69 | { | 69 | { | ||
70 | "description": "", | 70 | "description": "", | ||
71 | "display_name": "Tecnolog\u00edas del lenguaje", | 71 | "display_name": "Tecnolog\u00edas del lenguaje", | ||
72 | "id": "f50a92b2-8774-4390-82dd-5c080b098961", | 72 | "id": "f50a92b2-8774-4390-82dd-5c080b098961", | ||
73 | "image_display_url": | 73 | "image_display_url": | ||
74 | s/uploads/group/2024-09-27-062643.156350Tecnologias-del-lenguaje.png", | 74 | s/uploads/group/2024-09-27-062643.156350Tecnologias-del-lenguaje.png", | ||
75 | "name": "tecnologias-del-lenguaje", | 75 | "name": "tecnologias-del-lenguaje", | ||
76 | "title": "Tecnolog\u00edas del lenguaje" | 76 | "title": "Tecnolog\u00edas del lenguaje" | ||
77 | }, | 77 | }, | ||
78 | { | 78 | { | ||
79 | "description": "", | 79 | "description": "", | ||
80 | "display_name": "Terminolog\u00eda", | 80 | "display_name": "Terminolog\u00eda", | ||
81 | "id": "f21d51d4-df60-44f9-ad1f-60f1d5ca24d2", | 81 | "id": "f21d51d4-df60-44f9-ad1f-60f1d5ca24d2", | ||
82 | "image_display_url": | 82 | "image_display_url": | ||
83 | .cchs.csic.es/uploads/group/2024-09-27-062713.009717Terminologia.png", | 83 | .cchs.csic.es/uploads/group/2024-09-27-062713.009717Terminologia.png", | ||
84 | "name": "terminologia", | 84 | "name": "terminologia", | ||
85 | "title": "Terminolog\u00eda" | 85 | "title": "Terminolog\u00eda" | ||
86 | } | 86 | } | ||
87 | ], | 87 | ], | ||
88 | "id": "73cc4b2b-f43c-4efd-9d6d-113bc923cd77", | 88 | "id": "73cc4b2b-f43c-4efd-9d6d-113bc923cd77", | ||
89 | "identifier": "https://doi.org/10.20350/digitalCSIC/16110", | 89 | "identifier": "https://doi.org/10.20350/digitalCSIC/16110", | ||
90 | "international_spatial_translated": { | 90 | "international_spatial_translated": { | ||
91 | "en": "Europe", | 91 | "en": "Europe", | ||
92 | "es": "Europa" | 92 | "es": "Europa" | ||
93 | }, | 93 | }, | ||
94 | "isopen": false, | 94 | "isopen": false, | ||
95 | "issued_date": "2024-02-09T00:00:00", | 95 | "issued_date": "2024-02-09T00:00:00", | ||
96 | "language": [ | 96 | "language": [ | ||
97 | "es", | 97 | "es", | ||
98 | "en" | 98 | "en" | ||
99 | ], | 99 | ], | ||
100 | "license_id": "https://creativecommons.org/licenses/by-nc-sa/4.0/", | 100 | "license_id": "https://creativecommons.org/licenses/by-nc-sa/4.0/", | ||
101 | "license_title": | 101 | "license_title": | ||
102 | "https://creativecommons.org/licenses/by-nc-sa/4.0/", | 102 | "https://creativecommons.org/licenses/by-nc-sa/4.0/", | ||
103 | "maintainer": null, | 103 | "maintainer": null, | ||
104 | "maintainer_email": null, | 104 | "maintainer_email": null, | ||
105 | "metadata_created": "2024-05-30T15:57:14.431217", | 105 | "metadata_created": "2024-05-30T15:57:14.431217", | ||
n | 106 | "metadata_modified": "2025-03-05T08:03:31.399444", | n | 106 | "metadata_modified": "2025-03-05T08:03:47.248873", |
107 | "multilingual_tags": { | 107 | "multilingual_tags": { | ||
108 | "en": [ | 108 | "en": [ | ||
109 | "Biomedical natural language processing", | 109 | "Biomedical natural language processing", | ||
110 | "Parallel sentences", | 110 | "Parallel sentences", | ||
111 | "Medical text simplification" | 111 | "Medical text simplification" | ||
112 | ], | 112 | ], | ||
113 | "es": [ | 113 | "es": [ | ||
114 | "Prcesamiento del Lenguaje Natural en Biomedicina", | 114 | "Prcesamiento del Lenguaje Natural en Biomedicina", | ||
115 | "Frases paralelas", | 115 | "Frases paralelas", | ||
116 | "Simplificaci\u00f3n textual en medicina" | 116 | "Simplificaci\u00f3n textual en medicina" | ||
117 | ] | 117 | ] | ||
118 | }, | 118 | }, | ||
119 | "name": "clara-med-simplified-sentences", | 119 | "name": "clara-med-simplified-sentences", | ||
120 | "notes": null, | 120 | "notes": null, | ||
121 | "num_resources": 3, | 121 | "num_resources": 3, | ||
122 | "num_tags": 0, | 122 | "num_tags": 0, | ||
123 | "organization": { | 123 | "organization": { | ||
124 | "approval_status": "approved", | 124 | "approval_status": "approved", | ||
125 | "created": "2023-09-25T12:13:42.172869", | 125 | "created": "2023-09-25T12:13:42.172869", | ||
126 | "description": "El Instituto de Lengua, Literatura y | 126 | "description": "El Instituto de Lengua, Literatura y | ||
127 | Antropolog\u00eda, ILLA (CSIC) tiene como objetivo primordial la | 127 | Antropolog\u00eda, ILLA (CSIC) tiene como objetivo primordial la | ||
128 | investigaci\u00f3n del patrimonio cultural hisp\u00e1nico en su triple | 128 | investigaci\u00f3n del patrimonio cultural hisp\u00e1nico en su triple | ||
129 | dimensi\u00f3n antropol\u00f3gica, ling\u00fc\u00edstica y | 129 | dimensi\u00f3n antropol\u00f3gica, ling\u00fc\u00edstica y | ||
130 | literaria.", | 130 | literaria.", | ||
131 | "id": "fc47e531-a165-4eac-8fc7-34342a3a38ff", | 131 | "id": "fc47e531-a165-4eac-8fc7-34342a3a38ff", | ||
132 | "image_url": "2023-09-25-101342.167134illa0.png", | 132 | "image_url": "2023-09-25-101342.167134illa0.png", | ||
133 | "is_organization": true, | 133 | "is_organization": true, | ||
134 | "name": "instituto-de-lengua-literatura-y-antropologia-illa-csic", | 134 | "name": "instituto-de-lengua-literatura-y-antropologia-illa-csic", | ||
135 | "state": "active", | 135 | "state": "active", | ||
136 | "title": "Instituto de Lengua, Literatura y Antropolog\u00eda | 136 | "title": "Instituto de Lengua, Literatura y Antropolog\u00eda | ||
137 | (ILLA), CSIC", | 137 | (ILLA), CSIC", | ||
138 | "type": "organization" | 138 | "type": "organization" | ||
139 | }, | 139 | }, | ||
140 | "owner_org": "fc47e531-a165-4eac-8fc7-34342a3a38ff", | 140 | "owner_org": "fc47e531-a165-4eac-8fc7-34342a3a38ff", | ||
141 | "private": false, | 141 | "private": false, | ||
142 | "proyecto": { | 142 | "proyecto": { | ||
143 | "es": [ | 143 | "es": [ | ||
144 | "PID2020-116001RA-C33" | 144 | "PID2020-116001RA-C33" | ||
145 | ] | 145 | ] | ||
146 | }, | 146 | }, | ||
147 | "publisher": "b627d71d-2315-4e75-afc9-897da84459f0", | 147 | "publisher": "b627d71d-2315-4e75-afc9-897da84459f0", | ||
148 | "reference": [ | 148 | "reference": [ | ||
149 | "https://github.com/lcampillos/CLARA-MeD/" | 149 | "https://github.com/lcampillos/CLARA-MeD/" | ||
150 | ], | 150 | ], | ||
151 | "relationships_as_object": [], | 151 | "relationships_as_object": [], | ||
152 | "relationships_as_subject": [], | 152 | "relationships_as_subject": [], | ||
153 | "resources": [ | 153 | "resources": [ | ||
154 | { | 154 | { | ||
155 | "byte_size": "7,32 kB", | 155 | "byte_size": "7,32 kB", | ||
156 | "cache_last_updated": null, | 156 | "cache_last_updated": null, | ||
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160 | "description": null, | 160 | "description": null, | ||
161 | "format": "txt", | 161 | "format": "txt", | ||
162 | "hash": "", | 162 | "hash": "", | ||
163 | "id": "30dfbb45-e41a-4c6e-bcdc-a4af2f040715", | 163 | "id": "30dfbb45-e41a-4c6e-bcdc-a4af2f040715", | ||
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166 | "mimetype": "text/plain", | 166 | "mimetype": "text/plain", | ||
167 | "mimetype_inner": null, | 167 | "mimetype_inner": null, | ||
168 | "name": "README_CLARAMED_sentences.txt\t", | 168 | "name": "README_CLARAMED_sentences.txt\t", | ||
169 | "name_translated": { | 169 | "name_translated": { | ||
170 | "en": "README_CLARAMED_sentences.txt\t", | 170 | "en": "README_CLARAMED_sentences.txt\t", | ||
171 | "es": "README_CLARAMED_sentences.txt\t" | 171 | "es": "README_CLARAMED_sentences.txt\t" | ||
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235 | "name_translated": { | 234 | "name_translated": { | ||
236 | "en": "Guideline CLARA-MeD_simplif_guideline.pdf", | 235 | "en": "Guideline CLARA-MeD_simplif_guideline.pdf", | ||
237 | "es": "Guideline CLARA-MeD_simplif_guideline.pdf" | 236 | "es": "Guideline CLARA-MeD_simplif_guideline.pdf" | ||
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252 | "spatial": [ | 251 | "spatial": [ | ||
253 | 252 | ||||
254 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | 253 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | ||
255 | ], | 254 | ], | ||
256 | "state": "active", | 255 | "state": "active", | ||
257 | "tags": [], | 256 | "tags": [], | ||
258 | "theme": [ | 257 | "theme": [ | ||
259 | 258 | ||||
260 | "http://datos.gob.es/kos/sector-publico/sector/ciencia-tecnologia", | 259 | "http://datos.gob.es/kos/sector-publico/sector/ciencia-tecnologia", | ||
261 | "http://datos.gob.es/kos/sector-publico/sector/salud" | 260 | "http://datos.gob.es/kos/sector-publico/sector/salud" | ||
262 | ], | 261 | ], | ||
263 | "title": "CLARA-MeD simplified sentences", | 262 | "title": "CLARA-MeD simplified sentences", | ||
264 | "title_translated": { | 263 | "title_translated": { | ||
265 | "en": "CLARA-MeD simplified sentences", | 264 | "en": "CLARA-MeD simplified sentences", | ||
266 | "es": "CLARA-MeD simplified sentences" | 265 | "es": "CLARA-MeD simplified sentences" | ||
267 | }, | 266 | }, | ||
268 | "type": "dataset", | 267 | "type": "dataset", | ||
269 | "url": null, | 268 | "url": null, | ||
270 | "version": null | 269 | "version": null | ||
271 | } | 270 | } |