Update README.md

README.md

@@ -55,7 +55,7 @@ BC-Transcoder supports:
 >>> load_dataset("gabeorlanski/bc-transcoder")
 DatasetDict({
     test: Dataset({
-        features: ['qid', 'title', 'language', 'signature', 'arguments', 'entry_fn_name', 'entry_cls_name', 'test_code', 'source_py', 'source_cpp'],
+        features: ['qid', 'title', 'language', 'signature', 'arguments', 'entry_fn_name', 'entry_cls_name', 'test_code', 'source_py', 'source_cpp', 'test_list', 'test_case_ids'],
         num_rows: 8384
     })
 })
@@ -70,9 +70,11 @@ DatasetDict({
 - `arguments`: The arguments of the problem.
 - `entry_fn_name`: The function's name to use an entry point.
 - `entry_cls_name`: The class name to use an entry point.
-- `test_code`: The raw testing script used in the language. If you want to use this, replace `PLACEHOLDER_FN_NAME` (and `PLACEHOLDER_CLS_NAME` if needed) with the corresponding entry points. Next, replace `PLACEHOLDER_CODE_BODY` with the postprocessed prediction.  
 - `source_py`: The source solution in Python.
 - `source_cpp`: The source in C++.
+- `test_code`: The raw testing script used in the language. If you want to use this, replace `PLACEHOLDER_FN_NAME` (and `PLACEHOLDER_CLS_NAME` if needed) with the corresponding entry points. Next, replace `PLACEHOLDER_CODE_BODY` with the postprocessed prediction.  
+- `test_list`: The raw json line of the list of tests for the problem. To load them, use `json.loads`
+- `test_case_ids`: The list of test case ids for the problem. These are used to determine if a prediction passes or not.
 
 ## Dataset Creation
 See section 2 of the [BabelCode Paper](https://arxiv.org/abs/2302.01973) to learn more about how the datasets are translated.