Hardnumerics is an anonymized benchmark dataset submitted for NeurIPS Evaluations & Datasets track review. The dataset likely contains numerical data for evaluating machine learning models. The full benchmark and code package are hosted on HuggingFace under the Hardnumerics/Hardnumerics repository.
Use Cases
- Benchmarking model performance on numerical tasks based on the NeurIPS evaluation context
- Developing new evaluation methodologies for numerical machine learning based on the benchmark structure
- Analyzing the difficulty and characteristics of numerical problems based on the 'hardnumerics' concept
Strengths
- Dataset is associated with a NeurIPS paper submission, suggesting a research-grade purpose
- The full benchmark and code package are available, indicating a structured release
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- Hardnumerics
- Freshness
- Last updated 2026-05-07 09:53:33; freshness should be verified