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{
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{
            
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  "Observaciones": {
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  "Observaciones": {
            
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    "en": "Recommended citation for this dataset: Bartolom\u00e9 
3
    "en": "Recommended citation for this dataset: Bartolom\u00e9 
            
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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",
            
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    "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"
            
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  },
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  },
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "autor": {
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  "autor": {
            
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    "en": [
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    "en": [
            
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      "Leonardo Campillos-Llanos",
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      "Leonardo Campillos-Llanos",
            
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      "Roc\u00edo Bartolom\u00e9 Rodr\u00edguez",
17
      "Roc\u00edo Bartolom\u00e9 Rodr\u00edguez",
            
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      "Ana Rosa Terroba Reinares"
18
      "Ana Rosa Terroba Reinares"
            
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    ],
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    ],
            
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    "es": [
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    "es": [
            
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      "Leonardo Campillos-Llanos",
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      "Leonardo Campillos-Llanos",
            
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      "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
    ]
            
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  },
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  },
            
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  "conforms_to": [],
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  "conforms_to": [],
            
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  "coverage_new": {
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  "coverage_new": {
            
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    "1": {
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    "1": {
            
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      "from": "2009-01-04T00:00:00",
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      "from": "2009-01-04T00:00:00",
            
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      "to": "2023-12-04T00:00:00"
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      "to": "2023-12-04T00:00:00"
            
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    }
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    }
            
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  },
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  },
            
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  "creator_user_id": "196556b3-e0c4-4c51-a9e6-f51cc752bc37",
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  "creator_user_id": "196556b3-e0c4-4c51-a9e6-f51cc752bc37",
            
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  "description": {
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  "description": {
            
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    "en": "This dataset contains 1200 manually simplified sentences 
35
    "en": "This dataset contains 1200 manually simplified sentences 
            
36
(144 019 tokens) from clinical trials in Spanish. A total of 1040 
36
(144 019 tokens) from clinical trials in Spanish. A total of 1040 
            
37
announcements from the European Clinical Trials Register (EudraCT) 
37
announcements from the European Clinical Trials Register (EudraCT) 
            
38
were analyzed to select sentences with ambiguities or exceeding 25 
38
were analyzed to select sentences with ambiguities or exceeding 25 
            
39
words. Simplification criteria were devised in an annotation 
39
words. Simplification criteria were devised in an annotation 
            
40
guideline, which is released publicly along the dataset.\r\n\r\nThis 
40
guideline, which is released publicly along the dataset.\r\n\r\nThis 
            
41
resource was collected in the CLARA-MeD project, with the goal of 
41
resource was collected in the CLARA-MeD project, with the goal of 
            
42
simplifying medical texts in the Spanish language and reduce the 
42
simplifying medical texts in the Spanish language and reduce the 
            
43
language barrier to patient's informed decision making. In particular, 
43
language barrier to patient's informed decision making. In particular, 
            
44
the project aims at developing linguistic resources for automatic 
44
the project aims at developing linguistic resources for automatic 
            
45
medical term simplification in Spanish; and conducting experiments in 
45
medical term simplification in Spanish; and conducting experiments in 
            
46
automatic text simplification.",
46
automatic text simplification.",
            
47
    "es": "This dataset contains 1200 manually simplified sentences 
47
    "es": "This dataset contains 1200 manually simplified sentences 
            
48
(144 019 tokens) from clinical trials in Spanish. A total of 1040 
48
(144 019 tokens) from clinical trials in Spanish. A total of 1040 
            
49
announcements from the European Clinical Trials Register (EudraCT) 
49
announcements from the European Clinical Trials Register (EudraCT) 
            
50
were analyzed to select sentences with ambiguities or exceeding 25 
50
were analyzed to select sentences with ambiguities or exceeding 25 
            
51
words. Simplification criteria were devised in an annotation 
51
words. Simplification criteria were devised in an annotation 
            
52
guideline, which is released publicly along the dataset.\r\n\r\nThis 
52
guideline, which is released publicly along the dataset.\r\n\r\nThis 
            
53
resource was collected in the CLARA-MeD project, with the goal of 
53
resource was collected in the CLARA-MeD project, with the goal of 
            
54
simplifying medical texts in the Spanish language and reduce the 
54
simplifying medical texts in the Spanish language and reduce the 
            
55
language barrier to patient's informed decision making. In particular, 
55
language barrier to patient's informed decision making. In particular, 
            
56
the project aims at developing linguistic resources for automatic 
56
the project aims at developing linguistic resources for automatic 
            
57
medical term simplification in Spanish; and conducting experiments in 
57
medical term simplification in Spanish; and conducting experiments in 
            
58
automatic text simplification."
58
automatic text simplification."
            
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  },
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      "description": "",
            
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      "display_name": "Terminolog\u00eda",
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      "name": "terminologia",
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      "name": "terminologia",
            
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      "title": "Terminolog\u00eda"
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      "title": "Terminolog\u00eda"
            
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  "id": "73cc4b2b-f43c-4efd-9d6d-113bc923cd77",
            
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  "identifier": "https://doi.org/10.20350/digitalCSIC/16110",
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  "identifier": "https://doi.org/10.20350/digitalCSIC/16110",
            
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  "international_spatial_translated": {
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  "international_spatial_translated": {
            
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    "en": "Europe (data from EudraCT)",
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    "en": "Europe (data from EudraCT)",
            
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    "es": "Europa (datos de EudraCT)"
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    "es": "Europa (datos de EudraCT)"
            
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  "isopen": false,
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  "issued_date": "2024-02-09T00:00:00",
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    "en"
            
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  "license_id": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
            
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  "license_title": 
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  "license_title": 
            
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"https://creativecommons.org/licenses/by-nc-sa/4.0/",
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"https://creativecommons.org/licenses/by-nc-sa/4.0/",
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
            
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  "metadata_created": "2024-05-30T15:57:14.431217",
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  "metadata_created": "2024-05-30T15:57:14.431217",
            
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  "metadata_modified": "2025-03-04T15:15:49.810266",
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  "multilingual_tags": {
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  "multilingual_tags": {
            
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    "en": [
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    "en": [
            
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      "Biomedical natural language processing",
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      "Biomedical natural language processing",
            
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      "Parallel sentences",
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      "Parallel sentences",
            
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      "Medical text simplification"
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      "Medical text simplification"
            
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    ]
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    ]
            
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  },
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  },
            
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  "name": "clara-med-simplified-sentences",
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  "name": "clara-med-simplified-sentences",
            
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  "notes": null,
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2023-09-25T12:13:42.172869",
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    "created": "2023-09-25T12:13:42.172869",
            
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    "description": "El Instituto de Lengua, Literatura y 
104
    "description": "El Instituto de Lengua, Literatura y 
            
105
Antropolog\u00eda, ILLA (CSIC) tiene como objetivo primordial la 
105
Antropolog\u00eda, ILLA (CSIC) tiene como objetivo primordial la 
            
106
investigaci\u00f3n del patrimonio cultural hisp\u00e1nico en su triple 
106
investigaci\u00f3n del patrimonio cultural hisp\u00e1nico en su triple 
            
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dimensi\u00f3n antropol\u00f3gica, ling\u00fc\u00edstica y 
107
dimensi\u00f3n antropol\u00f3gica, ling\u00fc\u00edstica y 
            
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literaria.",
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literaria.",
            
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    "id": "fc47e531-a165-4eac-8fc7-34342a3a38ff",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "instituto-de-lengua-literatura-y-antropologia-illa-csic",
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    "name": "instituto-de-lengua-literatura-y-antropologia-illa-csic",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Instituto de Lengua, Literatura y Antropolog\u00eda 
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    "title": "Instituto de Lengua, Literatura y Antropolog\u00eda 
            
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(ILLA), CSIC",
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(ILLA), CSIC",
            
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    "type": "organization"
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    "type": "organization"
            
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      "PID2020-116001RA-C33"
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      "PID2020-116001RA-C33"
            
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  "publisher": "b627d71d-2315-4e75-afc9-897da84459f0",
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  "publisher": "b627d71d-2315-4e75-afc9-897da84459f0",
            
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  "reference": [
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  "reference": [
            
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    "https://github.com/lcampillos/CLARA-MeD/"
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    "https://github.com/lcampillos/CLARA-MeD/"
            
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      "name": "Dataset 
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      "name": "Dataset 
            
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