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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 
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(144 019 tokens) from clinical trials in Spanish. A total of 1040 
            
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announcements from the European Clinical Trials Register (EudraCT) 
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announcements from the European Clinical Trials Register (EudraCT) 
            
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were analyzed to select sentences with ambiguities or exceeding 25 
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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 
            
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resource was collected in the CLARA-MeD project, with the goal of 
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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 
            
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language barrier to patient's informed decision making. In particular, 
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language barrier to patient's informed decision making. In particular, 
            
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the project aims at developing linguistic resources for automatic 
17
the project aims at developing linguistic resources for automatic 
            
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medical term simplification in Spanish; and conducting experiments in 
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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 
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(144 019 tokens) from clinical trials in Spanish. A total of 1040 
            
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announcements from the European Clinical Trials Register (EudraCT) 
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announcements from the European Clinical Trials Register (EudraCT) 
            
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were analyzed to select sentences with ambiguities or exceeding 25 
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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 
            
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resource was collected in the CLARA-MeD project, with the goal of 
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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 
27
simplifying medical texts in the Spanish language and reduce the 
            
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language barrier to patient's informed decision making. In particular, 
28
language barrier to patient's informed decision making. In particular, 
            
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the project aims at developing linguistic resources for automatic 
29
the project aims at developing linguistic resources for automatic 
            
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medical term simplification in Spanish; and conducting experiments in 
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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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    "en": [
            
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      "Biomedical natural language processing",
            
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      "Parallel sentences",
            
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      "Parallel sentences",
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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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    "title": "Instituto de Lengua, Literatura y Antropolog\u00eda 
            
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  "tags": [],
189
  "tags": [],
            
190
  "theme": [
190
  "theme": [
            
191
    
191
    
            
192
"http://datos.gob.es/kos/sector-publico/sector/ciencia-tecnologia",
192
"http://datos.gob.es/kos/sector-publico/sector/ciencia-tecnologia",
            
193
    "http://datos.gob.es/kos/sector-publico/sector/cultura-ocio",
193
    "http://datos.gob.es/kos/sector-publico/sector/cultura-ocio",
            
194
    "http://datos.gob.es/kos/sector-publico/sector/educacion",
194
    "http://datos.gob.es/kos/sector-publico/sector/educacion",
            
195
    "http://datos.gob.es/kos/sector-publico/sector/salud",
195
    "http://datos.gob.es/kos/sector-publico/sector/salud",
            
196
    "http://datos.gob.es/kos/sector-publico/sector/sector-publico"
196
    "http://datos.gob.es/kos/sector-publico/sector/sector-publico"
            
197
  ],
197
  ],
            
198
  "title": "CLARA-MeD simplified sentences",
198
  "title": "CLARA-MeD simplified sentences",
            
199
  "title_translated": {
199
  "title_translated": {
            
200
    "en": "CLARA-MeD simplified sentences",
200
    "en": "CLARA-MeD simplified sentences",
            
201
    "es": "CLARA-MeD simplified sentences"
201
    "es": "CLARA-MeD simplified sentences"
            
202
  },
202
  },
            
203
  "type": "dataset",
203
  "type": "dataset",
            
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  "url": null,
204
  "url": null,
            
205
  "version": null
205
  "version": null
            
206
}
206
}