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README.md
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Sys2bench is a benchmark designed to evaluate Large Language Models’ reasoning and plannning abilities across arithmetic, logical, common, algorithmic reasoning and planning.
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Link: https://huggingface.co/datasets/
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**ShockCast**
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Supersonic flow datasets from *A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling*. These datasets model a multiphase coal dust explosion and a circular blast.
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Link: https://huggingface.co/datasets/
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**PubChemQCR**
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PubChemQCR is a dataset that contains the DFT relaxation trajectory of ~3.5 million small molecules, which can facilitate the development of machine learning interatomic potential (MLIP) models.
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Link: https://huggingface.co/datasets/
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Sys2bench is a benchmark designed to evaluate Large Language Models’ reasoning and plannning abilities across arithmetic, logical, common, algorithmic reasoning and planning.
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Link: https://huggingface.co/datasets/divelab/Sys2Bench
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**ShockCast**
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Supersonic flow datasets from *A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling*. These datasets model a multiphase coal dust explosion and a circular blast.
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Link: https://huggingface.co/datasets/divelab/ShockCast
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**PubChemQCR**
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PubChemQCR is a dataset that contains the DFT relaxation trajectory of ~3.5 million small molecules, which can facilitate the development of machine learning interatomic potential (MLIP) models.
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Link: https://huggingface.co/datasets/divelab/PubChemQCR
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