Update README.md

README.md

@@ -52,22 +52,13 @@ extra_gated_button_content: Submit
 LingOly-TOO benchmark was created by generating up to 6 obfuscations per problem for 82 problems source from original LingOly benchmark.
 
 ```python
-{'question_n':  # The question number in the problem
- 'prompt':      # The main text of the question 
- 'subprompts': [
-  {'questionpart_n':         # For questions with several sub-parts (e.g. translating several sentences or matching paris of sentences)
-   'question':               # The text of the question part
-   'answer':                 # The correct answer
-   'matches_human_scoring':  # Annotation metadata
-   'fuzzy_matching':         # Annotation metadata
-   'manual_edit':            # Annotation metadata
-  }],
- 'metadata.preamble':        # General text from the overall problem that is shared across all questions for that problem
- 'metadata.context':         # Context text that includes important information, you should prepend your prompt with context for solvability
- 'metadata.obfuscated':      # If this example was obfuscated or not
- 'metadata.obf_num':         # Obfuscation counter (unique per problem). This is 0 if unobfuscated 
- 'metadata.overall_question_n':    # The problem number
- 'metadata.obfuscated_question_n': # Concatenation of problem number and obfuscation number
+{'question_n':            # The question number in the problem
+ 'prompt':                # The main text of the question including preamble, context and previous questions
+ 'completion':            # The correct answer
+ 'context':               # Context text that includes important information, you should prepend your prompt with context for solvability
+ 'obfuscated':            # If this example was obfuscated or not
+ 'overall_question_n':    # The problem number
+ 'obfuscated_question_n': # Concatenation of problem number and obfuscation number
 }
 ```