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@@ -87,12 +87,26 @@ DatasetDict({
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  - `signature`: The signature for the problem.
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  - `signature_with_docstring`: The signature with the adequately formatted docstring for the given problem.
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  - `arguments`: The arguments of the problem.
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- - `entry_fn_name`: The function's name to use an entry point.
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- - `entry_cls_name`: The class name to use an entry point.
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  - `solution`: The solution in Python.
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- - `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.
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- - `test_list`: The raw json line of the list of tests for the problem. To load them, use `json.loads`
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- - `test_case_ids`: The list of test case ids for the problem. These are used to determine if a prediction passes or not.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Dataset Creation
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  See section 2 of the [BabelCode Paper](https://arxiv.org/abs/2302.01973) to learn more about how the datasets are translated.
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  - `signature`: The signature for the problem.
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  - `signature_with_docstring`: The signature with the adequately formatted docstring for the given problem.
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  - `arguments`: The arguments of the problem.
 
 
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  - `solution`: The solution in Python.
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+ - `question_info`: The dict of information used for executing predictions. It has the keys:
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+ - `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.
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+ - `test_list`: The raw json line of the list of tests for the problem. To load them, use `json.loads`
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+ - `test_case_ids`: The list of test case ids for the problem. These are used to determine if a prediction passes or not.
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+ - `entry_fn_name`: The function's name to use an entry point.
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+ - `entry_cls_name`: The class name to use an entry point.
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+
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+ **NOTE:** If you want to use a different function name (or class name for languages that require class names) for the prediction, you must update the `entry_fn_name` and `entry_cls_name` accordingly. For example, if you have the original question with `entry_fn_name` of `add`, but want to change it to `f`, you must update `ds["question_info"]["entry_fn_name"]` to `f`:
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+ ```python
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+ >>> from datasets import load_dataset
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+ >>> ds = load_dataset("gabeorlanski/bc-mbpp")['test']
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+ >>> # The original entry_fn_name
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+ >>> ds[0]['question_info']['entry_fn_name']
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+ removeOcc
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+ >>> # You MUST update the corresponding entry_fn_name
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+ >>> ds[0]['question_info']['entry_fn_name'] = 'f'
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+ >>> ds[0]['question_info']['entry_fn_name']
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+ f
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+ ```
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  ## Dataset Creation
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  See section 2 of the [BabelCode Paper](https://arxiv.org/abs/2302.01973) to learn more about how the datasets are translated.
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