Update README.md

README.md

@@ -7,20 +7,22 @@ license: mit
   This is a dataset of processed clinical trials documents, somehwat of a duplication of that found in `datasets/ir_datasets`
   except that these have been preprocessed with ctproc to clean and extract useful fields from the clinical trial documents.
 
-Each of the has exactly 374648 lines of corresponding data:
+  Note: They are currently saved as text files because of the downstream task in ctmatch, though in the future they may be converted to .csv.
 
-`doc_texts.csv`
+Each .txt file has exactly 374648 lines of corresponding data:
+
+`doc_texts.txt`
 - texts extracted from processed documents using several fields including eligbility min and max age, and eligbility criteria, structured as this example from NCT00000102:
   "Inclusion Criteria: diagnosed with Congenital Adrenal Hyperplasia (CAH) normal ECG during baseline evaluation, Exclusion Criteria: history of liver disease, or elevated liver function tests history of cardiovascular disease"
 
 
-`doc_categories.csv`:
+`doc_categories.txt`:
 - 1 x 15 vectors of somewhat arbitrarily chosen topic probabilities (softmax output) generated by zero-shot classification model, CTMatch.category_model(doc['condition']) lexically ordered as such:
 cancer,cardiac,endocrine,gastrointestinal,genetic,healthy,infection,neurological,other,pediatric,psychological,pulmonary,renal,reproductive
 
-`doc_embeddings.csv`:
+`doc_embeddings.txt`:
 - 1 x 384 vectors of embeddings taken from last hidden state of CTMatch.embedding_model.encode(doc_text) using SentenceTransformers
 
 
-`index2docid.csv`:
+`index2docid.txt`:
 - simple mapping of index to NCTID's for filtering/reference throughout IR program, corresponding to vector, texts representation order