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Dataset Card for BabelCode MBPP
How To Use This Dataset
To use this dataset, you can either use the original BabelCode Repo, or you can use the bc_eval
Metric.
Dataset Summary
The BabelCode-MBPP (BC-MBPP) dataset converts the MBPP dataset released by Google to 16 programming languages.
Supported Tasks and Leaderboards
Languages
BC-MBPP supports:
- C++
- C#
- Dart
- Go
- Haskell
- Java
- Javascript
- Julia
- Kotlin
- Lua
- PHP
- Python
- R
- Rust
- Scala
- TypeScript
Dataset Structure
>>> from datasets import load_dataset
>>> load_dataset("gabeorlanski/bc-mbpp")
DatasetDict({
train: Dataset({
features: ['qid', 'title', 'language', 'text', 'signature_with_docstring', 'signature', 'arguments', 'solution', 'question_info'],
num_rows: 5308
})
test: Dataset({
features: ['qid', 'title', 'language', 'text', 'signature_with_docstring', 'signature', 'arguments', 'solution', 'question_info'],
num_rows: 6989
})
validation: Dataset({
features: ['qid', 'title', 'language', 'text', 'signature_with_docstring', 'signature', 'arguments', 'solution', 'question_info'],
num_rows: 1216
})
prompt: Dataset({
features: ['qid', 'title', 'language', 'text', 'signature_with_docstring', 'signature', 'arguments', 'solution', 'question_info'],
num_rows: 160
})
})
Data Fields
qid
: The question ID used for running tests.title
: The title of the question.language
: The programming language of the example.text
: The description of the problem.signature
: The signature for the problem.signature_with_docstring
: The signature with the adequately formatted docstring for the given problem.arguments
: The arguments of the problem.solution
: The solution in Python.question_info
: The dict of information used for executing predictions. It has the keys:test_code
: The raw testing script used in the language. If you want to use this, replacePLACEHOLDER_FN_NAME
(andPLACEHOLDER_CLS_NAME
if needed) with the corresponding entry points. Next, replacePLACEHOLDER_CODE_BODY
with the postprocessed prediction.test_list
: The raw json line of the list of tests for the problem. To load them, usejson.loads
test_case_ids
: The list of test case ids for the problem. These are used to determine if a prediction passes or not.entry_fn_name
: The function's name to use an entry point.entry_cls_name
: The class name to use an entry point.commands
: The commands used to execute the prediction. Includes a__FILENAME__
hole that is replaced with the filename.timeouts
: The default timeouts for each command.extension
: The extension for the prediction file.
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
:
>>> from datasets import load_dataset
>>> ds = load_dataset("gabeorlanski/bc-mbpp")['test']
>>> # The original entry_fn_name
>>> ds[0]['question_info']['entry_fn_name']
removeOcc
>>> # You MUST update the corresponding entry_fn_name
>>> ds[0]['question_info']['entry_fn_name'] = 'f'
>>> ds[0]['question_info']['entry_fn_name']
f
Dataset Creation
See section 2 of the BabelCode Paper to learn more about how the datasets are translated.
Information on how the original MBPP was curated is located here.
Dataset Curators
Google Research
Licensing Information
CC-BY-4.0
Citation Information
@article{orlanski2023measuring,
title={Measuring The Impact Of Programming Language Distribution},
author={Orlanski, Gabriel and Xiao, Kefan and Garcia, Xavier and Hui, Jeffrey and Howland, Joshua and Malmaud, Jonathan and Austin, Jacob and Singh, Rishah and Catasta, Michele},
journal={arXiv preprint arXiv:2302.01973},
year={2023}
}
@article{Austin2021ProgramSW,
title={Program Synthesis with Large Language Models},
author={Jacob Austin and Augustus Odena and Maxwell Nye and Maarten Bosma and Henryk Michalewski and David Dohan and Ellen Jiang and Carrie J. Cai and Michael Terry and Quoc V. Le and Charles Sutton},
journal={ArXiv},
year={2021},
volume={abs/2108.07732}
}
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