IMF Raw Text Files
<|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:'Description: Raw text database of roughly 23,000 documents - country reports and program related - covering the whole IMF membership throughout the period 1950-2019. Extraction performed using Google Cloud Vision (See paper for more info). Structure: Each .RDS file contains a named list with the individual documents for the country (ISO3 Code) as character string. String numbering corresponds to page numbering.We also provide an S3 method (print.corpusTM) to not overcrowd the console: run the script before loading the RDS files. Instead of the whole country corpus, it will display the number of docs in the corpus and the name of the first and last document' . 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" : ["imf documents, imf archives, text mining"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Description: Raw text database of roughly 23,000 documents - country reports and program related - covering the whole IMF membership throughout the period 1950-2019. Extraction performed using Google Cloud Vision (See paper for more info). Structure: Each .RDS file contains a named list with the individual documents for the country (ISO3 Code) as character string. String numbering corresponds to page numbering.We also provide an S3 method (print.corpusTM) to not overcrowd the console: run the script before loading the RDS files. Instead of the whole country corpus, it will display the number of docs in the corpus and the name of the first and last document' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Description: Raw text database of roughly 23,000 documents - country reports and program related - covering the whole IMF membership throughout the period 1950-2019. Extraction performed using Google Cloud Vision (See paper for more info). Structure: Each .RDS file contains a named list with the individual documents for the country (ISO3 Code) as character string. String numbering corresponds to page numbering.We also provide an S3 method (print.corpusTM) to not overcrowd the console: run the script before loading the RDS files. Instead of the whole country corpus, it will display the number of docs in the corpus and the name of the first and last document
imf documents, imf archives, text mining