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The MBPP (Mostly Basic Python Problems) dataset consists of around 1,000 crowd-sourced Python programming problems, designed to be solvable by entry level programmers, covering programming fundamentals, standard library functionality, and so on. Each problem consists of a task description, code solution and 3 automated test cases.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Dataset Card for Mostly Basic Python Problems (mbpp)
Dataset Summary
The benchmark consists of around 1,000 crowd-sourced Python programming problems, designed to be solvable by entry level programmers, covering programming fundamentals, standard library functionality, and so on. Each problem consists of a task description, code solution and 3 automated test cases. As described in the paper, a subset of the data has been hand-verified by us. Released here as part ofโฆ See the full description on the dataset page: https://huggingface.co/datasets/nlile/mbpp.
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evalplus/mbppplus dataset hosted on Hugging Face and contributed by the HF Datasets community
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Twitterzsqzz/mbpp-new-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community
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Twitterlilac/mbpp
This dataset is a Lilac processed dataset. Original dataset: https://huggingface.co/datasets/mbpp To download the dataset to a local directory: lilac download lilacai/lilac-mbpp
or from python with: ll.download("lilacai/lilac-mbpp")
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MBPP dataset annotated with ground-truth programming solutions, to enable evaluations for retrieval and retrieval-augmented code generation. Please refer to code-rag-bench for more details.
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
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Gen-Verse/MBPP dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterMUsama100/MBPP-Extended-3104 dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterDataset Card for "humaneval-mbpp-codegen-qa"
This dataset contains prompt-reply (question-answer) pairs where the prompt is to create a Python function which satisfies the functionality described in a specified docstring. The responses are then the generated functions.
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Evaluation dataset for umanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation Task (arxiv.org/abs/2412.21199).
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TwitterALIN-LLM/iself-mbpp dataset hosted on Hugging Face and contributed by the HF Datasets community
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Twitterdgambettaphd/mbpp dataset hosted on Hugging Face and contributed by the HF Datasets community
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edition_0546_google-research-datasets-mbpp-readymade
A Readymade by TheFactoryX
Original Dataset
google-research-datasets/mbpp
Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art. What we did:
Selected the original dataset from Hugging Face Shuffled each column independently Destroyed all row-wise relationships Preserved structure, removed meaning
The result: Same data.โฆ See the full description on the dataset page: https://huggingface.co/datasets/TheFactoryX/edition_0546_google-research-datasets-mbpp-readymade.
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edition_0894_google-research-datasets-mbpp-readymade
A Readymade by TheFactoryX
Original Dataset
google-research-datasets/mbpp
Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art. What we did:
Selected the original dataset from Hugging Face Shuffled each column independently Destroyed all row-wise relationships Preserved structure, removed meaning
The result: Same data.โฆ See the full description on the dataset page: https://huggingface.co/datasets/TheFactoryX/edition_0894_google-research-datasets-mbpp-readymade.
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Twitterhttps://choosealicense.com/licenses/other/https://choosealicense.com/licenses/other/
edition_0916_google-research-datasets-mbpp-readymade
A Readymade by TheFactoryX
Original Dataset
google-research-datasets/mbpp
Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art. What we did:
Selected the original dataset from Hugging Face Shuffled each column independently Destroyed all row-wise relationships Preserved structure, removed meaning
The result: Same data.โฆ See the full description on the dataset page: https://huggingface.co/datasets/TheFactoryX/edition_0916_google-research-datasets-mbpp-readymade.
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Twitterhttps://choosealicense.com/licenses/other/https://choosealicense.com/licenses/other/
edition_0907_google-research-datasets-mbpp-readymade
A Readymade by TheFactoryX
Original Dataset
google-research-datasets/mbpp
Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art. What we did:
Selected the original dataset from Hugging Face Shuffled each column independently Destroyed all row-wise relationships Preserved structure, removed meaning
The result: Same data.โฆ See the full description on the dataset page: https://huggingface.co/datasets/TheFactoryX/edition_0907_google-research-datasets-mbpp-readymade.
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Twitterhttps://choosealicense.com/licenses/other/https://choosealicense.com/licenses/other/
edition_0897_google-research-datasets-mbpp-readymade
A Readymade by TheFactoryX
Original Dataset
google-research-datasets/mbpp
Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art. What we did:
Selected the original dataset from Hugging Face Shuffled each column independently Destroyed all row-wise relationships Preserved structure, removed meaning
The result: Same data.โฆ See the full description on the dataset page: https://huggingface.co/datasets/TheFactoryX/edition_0897_google-research-datasets-mbpp-readymade.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The MBPP (Mostly Basic Python Problems) dataset consists of around 1,000 crowd-sourced Python programming problems, designed to be solvable by entry level programmers, covering programming fundamentals, standard library functionality, and so on. Each problem consists of a task description, code solution and 3 automated test cases.