NeurIPS Datasets & Benchmarks Checklist

The NeurIPS Datasets & Benchmarks Checklist focuses on encouraging transparency, reproducibility, and ethical practices in the creation and use of datasets and benchmarks within AI research. This checklist is tailored to ensure that datasets and benchmarks meet the highest standards of responsible research, addressing critical aspects like data sourcing, annotation processes, and the societal impact of these resources.

ConfReady provides an intuitive platform to guide authors through these requirements, making it easier to complete the checklist while reflecting on the ethical implications of their work.

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How ConfReady Helps

ConfReady is designed to streamline the checklist process for NeurIPS Datasets & Benchmarks papers through the following features:

1. Dataset Documentation

   • Assists in ensuring datasets are well-documented with details about their sources, licenses, and any preprocessing steps.
   • Offers prompts to address specific checklist items, such as data splits and intended use cases.

2. Benchmark Validation

   • Guides authors in discussing the relevance and robustness of their benchmarks.
   • Ensures transparency regarding evaluation metrics, baselines, and reproducibility.

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Key Features for NeurIPS Datasets & Benchmarks

• Flexible Configuration: Adaptable to various dataset and benchmark structures.
• Comprehensive Prompts: Covers every aspect of the checklist, from dataset sourcing to societal impact.
• Customizable Responses: Allows authors to refine or expand on generated answers.

Explore other checklists supported by ConfReady here.