adding files with labels post wiesp

scoring_scripts/score_focal_seqeval.py

@@ -32,7 +32,7 @@ def evaluate_FOCAL_seqeval(references_jsonl, predictions_jsonl, print_reports=Fa
     ref_functions_labels = [e['Functions Label'] for e in references_jsonl]
     ref_functions_start_end = [e['Functions Start End'] for e in references_jsonl]
     ref_paragraphs = [e['Paragraph'] for e in references_jsonl]
-
+    
     pred_functions_texts = [e['Functions Text'] for e in predictions_jsonl]
     pred_functions_labels = [e['Functions Label'] for e in predictions_jsonl]
     pred_functions_start_end = [e['Functions Start End'] for e in predictions_jsonl]
@@ -57,7 +57,8 @@ def evaluate_FOCAL_seqeval(references_jsonl, predictions_jsonl, print_reports=Fa
         # go through each ref function to verify the data 
         for j,(start,end) in enumerate(ref_functions_start_end[i]):
             # check that the text of the ref function matches the paragraph [start:end] section defined by the ref's start:end 
-            assert(p[start:end]==ref_functions_texts[i][j])
+            assert_err_string = 'ref function text doesnt match paragraph[start:end]:\nID:{} {}\nfunction text: {}\nparagraph[start:end]:{}'.format(i, references_jsonl[i]['Identifier'], ref_functions_texts[i][j], p[start:end])
+            assert p[start:end]==ref_functions_texts[i][j], assert_err_string
 
             # fill in the char level labels
             ref_labels_char[start] = 'B-'+ ref_functions_labels[i][j]
@@ -68,7 +69,8 @@ def evaluate_FOCAL_seqeval(references_jsonl, predictions_jsonl, print_reports=Fa
         # do the same for the pred functions
         for j,(start,end) in enumerate(pred_functions_start_end[i]):
             # check that the text of the pred function matches the paragraph [start:end] section defined by the pred's start:end 
-            assert(p[start:end]==pred_functions_texts[i][j])
+            assert_err_string = 'pred function text doesnt match paragraph[start:end]:\nID:{} {}\nfunction text: {}\nparagraph[start:end]:{}'.format(i, predictions_jsonl[i]['Identifier'], pred_functions_texts[i][j], p[start:end])
+            assert p[start:end]==pred_functions_texts[i][j], assert_err_string
 
             # fill in the char level labels
             pred_labels_char[start] = 'B-'+ pred_functions_labels[i][j]