EXCEPTIUS Corpus
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format)  - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separat' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Exceptional Legislation","Multilingual Text Processing","Natural Language Processing","SARS-CoV-2"]} <|eot_id|>
 Here is the Description of a dataset. Description:'EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format)  - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separat' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
EXCEPTIUS Corpus v1.0, containing the following data:- raw documents for 21 countries at national level- pre-processed data with spacy-udpipe v1.0- automatically annotated documents for the identification of exceptional measures at sentence levelCountry list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format)  - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations- model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separat
Exceptional Legislation; Multilingual Text Processing; Natural Language Processing; SARS-CoV-2