Update README.md

README.md

@@ -8,7 +8,7 @@ size_categories:
 - 10K<n<100K
 ---
 
-**CTMatch Dataset**
+**CTMatch Classification Dataset**
 
 This is a combined set of 2 labelled datasets of:
 
@@ -27,25 +27,5 @@ These 2 datasets contain no patient identifying information are openly available
 
 ---
 
-Additionally, for the IR task, other feature representations of the unlabelled documents have been created.
-
-Each of these has exactly 374648 lines of corresponding data:
-
-`doc_texts.csv`
-- 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`:
-- 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`:
-- 1 x 384 vectors of embeddings taken from last hidden state of CTMatch.embedding_model.encode(doc_text) using SentenceTransformers
-
-
-`index2docid.csv`:
-- simple mapping of index to NCTID's for filtering/reference throughout IR program, corresponding to vector, texts representation order
-
 **see repo for more information**:
 https://github.com/semajyllek/ctmatch