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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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  "conforms_to": [],
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  "conforms_to": [],
            
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  "coverage_new": {},
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  "coverage_new": {},
            
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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 
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    "en": "This dataset contains 1200 manually simplified sentences 
            
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(144 019 tokens) from clinical trials in Spanish. A total of 1040 
9
(144 019 tokens) from clinical trials in Spanish. A total of 1040 
            
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announcements from the European Clinical Trials Register (EudraCT) 
10
announcements from the European Clinical Trials Register (EudraCT) 
            
11
were analyzed to select sentences with ambiguities or exceeding 25 
11
were analyzed to select sentences with ambiguities or exceeding 25 
            
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words. Simplification criteria were devised in an annotation 
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words. Simplification criteria were devised in an annotation 
            
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guideline, which is released publicly along the dataset.\r\n\r\nThis 
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guideline, which is released publicly along the dataset.\r\n\r\nThis 
            
14
resource was collected in the CLARA-MeD project, with the goal of 
14
resource was collected in the CLARA-MeD project, with the goal of 
            
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simplifying medical texts in the Spanish language and reduce the 
15
simplifying medical texts in the Spanish language and reduce the 
            
16
language barrier to patient's informed decision making. In particular, 
16
language barrier to patient's informed decision making. In particular, 
            
17
the project aims at developing linguistic resources for automatic 
17
the project aims at developing linguistic resources for automatic 
            
18
medical term simplification in Spanish; and conducting experiments in 
18
medical term simplification in Spanish; and conducting experiments in 
            
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automatic text simplification.",
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automatic text simplification.",
            
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    "es": "This dataset contains 1200 manually simplified sentences 
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    "es": "This dataset contains 1200 manually simplified sentences 
            
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(144 019 tokens) from clinical trials in Spanish. A total of 1040 
21
(144 019 tokens) from clinical trials in Spanish. A total of 1040 
            
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announcements from the European Clinical Trials Register (EudraCT) 
22
announcements from the European Clinical Trials Register (EudraCT) 
            
23
were analyzed to select sentences with ambiguities or exceeding 25 
23
were analyzed to select sentences with ambiguities or exceeding 25 
            
24
words. Simplification criteria were devised in an annotation 
24
words. Simplification criteria were devised in an annotation 
            
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guideline, which is released publicly along the dataset.\r\n\r\nThis 
25
guideline, which is released publicly along the dataset.\r\n\r\nThis 
            
26
resource was collected in the CLARA-MeD project, with the goal of 
26
resource was collected in the CLARA-MeD project, with the goal of 
            
27
simplifying medical texts in the Spanish language and reduce the 
27
simplifying medical texts in the Spanish language and reduce the 
            
28
language barrier to patient's informed decision making. In particular, 
28
language barrier to patient's informed decision making. In particular, 
            
29
the project aims at developing linguistic resources for automatic 
29
the project aims at developing linguistic resources for automatic 
            
30
medical term simplification in Spanish; and conducting experiments in 
30
medical term simplification in Spanish; and conducting experiments in 
            
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automatic text simplification."
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automatic text simplification."
            
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  },
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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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  "issued_date": "2024-02-09T00:00:00",
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  "issued_date": "2024-02-09T00:00:00",
            
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    "es",
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    "es",
            
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"https://digital.csic.es/handle/10261/346579?mode=full",
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"https://digital.csic.es/handle/10261/346579?mode=full",
            
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  "license_title": 
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  "license_title": 
            
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"https://digital.csic.es/handle/10261/346579?mode=full",
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"https://digital.csic.es/handle/10261/346579?mode=full",
            
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  "maintainer": null,
            
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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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    "es": [
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    "es": [
            
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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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  "name": "clara-med-simplified-sentences",
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  "name": "clara-med-simplified-sentences",
            
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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 
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    "description": "El Instituto de Lengua, Literatura y 
            
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Antropolog\u00eda, ILLA (CSIC) tiene como objetivo primordial la 
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Antropolog\u00eda, ILLA (CSIC) tiene como objetivo primordial la 
            
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investigaci\u00f3n del patrimonio cultural hisp\u00e1nico en su triple 
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investigaci\u00f3n del patrimonio cultural hisp\u00e1nico en su triple 
            
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dimensi\u00f3n antropol\u00f3gica, ling\u00fc\u00edstica y 
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dimensi\u00f3n antropol\u00f3gica, ling\u00fc\u00edstica y 
            
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literaria.",
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literaria.",
            
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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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  "publisher": "fc47e531-a165-4eac-8fc7-34342a3a38ff",
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      "name": "Dataset 
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      "name": "Dataset 
            
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  "theme": [
            
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"http://datos.gob.es/kos/sector-publico/sector/ciencia-tecnologia",
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"http://datos.gob.es/kos/sector-publico/sector/ciencia-tecnologia",
            
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    "http://datos.gob.es/kos/sector-publico/sector/cultura-ocio",
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    "http://datos.gob.es/kos/sector-publico/sector/cultura-ocio",
            
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    "http://datos.gob.es/kos/sector-publico/sector/educacion",
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    "http://datos.gob.es/kos/sector-publico/sector/educacion",
            
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    "http://datos.gob.es/kos/sector-publico/sector/sector-publico"
            
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  ],
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  "title": "CLARA-MeD simplified sentences",
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  "title": "CLARA-MeD simplified sentences",
            
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  "title_translated": {
            
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    "en": "CLARA-MeD simplified sentences",
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    "en": "CLARA-MeD simplified sentences",
            
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    "es": "CLARA-MeD simplified sentences"
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    "es": "CLARA-MeD simplified sentences"
            
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  "type": "dataset",
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}
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}