prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the MolXPT model in the MolXPT: Wrapping Molecules with Text for Generative Pre-training paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the SYN-FUSION model in the Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the SPMM model in the Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the GAL 120B model in the Galactica: A Large Language Model for Science paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the GAL 30B model in the Galactica: A Large Language Model for Science paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the GAL 6.7B model in the Galactica: A Large Language Model for Science paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the GAL 1.3B model in the Galactica: A Large Language Model for Science paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the ChemBERTa-2 (MTR-77M) model in the ChemBERTa-2: Towards Chemical Foundation Models paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the GAL 125M model in the Galactica: A Large Language Model for Science paper on the ClinTox dataset? | ROC-AUC, Molecules (M) |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the ToxCast dataset? | ROC-AUC |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the ToxCast dataset? | ROC-AUC |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the ToxCast dataset? | ROC-AUC |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the ToxCast dataset? | ROC-AUC |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the ToxCast dataset? | ROC-AUC |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the ToxCast dataset? | ROC-AUC |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the QM7 dataset? | MAE |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the QM7 dataset? | MAE |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the QM7 dataset? | MAE |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the QM7 dataset? | MAE |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the QM7 dataset? | MAE |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the QM7 dataset? | MAE |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the QM7 dataset? | MAE |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the QM7 dataset? | MAE |
What metrics were used to measure the Uni-Mol model in the Galactica: A Large Language Model for Science paper on the MoleculeNet dataset? | AUC |
What metrics were used to measure the GAL 30B model in the Galactica: A Large Language Model for Science paper on the MoleculeNet dataset? | AUC |
What metrics were used to measure the GAL 6.7B model in the Galactica: A Large Language Model for Science paper on the MoleculeNet dataset? | AUC |
What metrics were used to measure the GAL 1.3B model in the Galactica: A Large Language Model for Science paper on the MoleculeNet dataset? | AUC |
What metrics were used to measure the GAL 125M model in the Galactica: A Large Language Model for Science paper on the MoleculeNet dataset? | AUC |
What metrics were used to measure the MolXPT model in the MolXPT: Wrapping Molecules with Text for Generative Pre-training paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the SPMM model in the Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the ChemBERTa-2 (MTR-77M) model in the ChemBERTa-2: Towards Chemical Foundation Models paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the GAL 30B model in the Galactica: A Large Language Model for Science paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the GAL 120B model in the Galactica: A Large Language Model for Science paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the GAL 6.7B model in the Galactica: A Large Language Model for Science paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the GAL 1.3B model in the Galactica: A Large Language Model for Science paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the GAL 125M model in the Galactica: A Large Language Model for Science paper on the BACE dataset? | ROC-AUC, RMSE |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the SPMM model in the Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the ChemBERTa-2 (MTR-77M) model in the ChemBERTa-2: Towards Chemical Foundation Models paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the Lipophilicity dataset? | RMSE |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the FreeSolv dataset? | RMSE |
What metrics were used to measure the SPMM model in the Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model paper on the FreeSolv dataset? | RMSE |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the FreeSolv dataset? | RMSE |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the FreeSolv dataset? | RMSE |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the FreeSolv dataset? | RMSE |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the FreeSolv dataset? | RMSE |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the FreeSolv dataset? | RMSE |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the FreeSolv dataset? | RMSE |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the FreeSolv dataset? | RMSE |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the MUV dataset? | ROC-AUC |
What metrics were used to measure the MolXPT model in the MolXPT: Wrapping Molecules with Text for Generative Pre-training paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the SPMM model in the Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the Uni-Mol model in the Galactica: A Large Language Model for Science paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the ChemBERTa-2 (MTR-77M) model in the ChemBERTa-2: Towards Chemical Foundation Models paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the GROVER (base) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the N-GramRF model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the GROVER (large) model in the Self-Supervised Graph Transformer on Large-Scale Molecular Data paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the N-GramXGB model in the N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the PretrainGNN model in the Strategies for Pre-training Graph Neural Networks paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the GAL 120B model in the Galactica: A Large Language Model for Science paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the GAL 1.3B model in the Galactica: A Large Language Model for Science paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the GAL 30B model in the Galactica: A Large Language Model for Science paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the GAL 6.7B model in the Galactica: A Large Language Model for Science paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the GAL 125M model in the Galactica: A Large Language Model for Science paper on the BBBP dataset? | ROC-AUC |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the ESOL dataset? | RMSE |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the ESOL dataset? | RMSE |
What metrics were used to measure the SPMM model in the Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model paper on the ESOL dataset? | RMSE |
What metrics were used to measure the ChemBERTa-2 (MTR-77M) model in the ChemBERTa-2: Towards Chemical Foundation Models paper on the ESOL dataset? | RMSE |
What metrics were used to measure the D-MPNN model in the Analyzing Learned Molecular Representations for Property Prediction paper on the ESOL dataset? | RMSE |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the HIV dataset? | ROC-AUC |
What metrics were used to measure the SPMM model in the Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model paper on the Clearance dataset? | RMSE |
What metrics were used to measure the ChemBERTa-2 (MTR-77M) model in the ChemBERTa-2: Towards Chemical Foundation Models paper on the Clearance dataset? | RMSE |
What metrics were used to measure the Uni-Mol model in the Uni-Mol: A Universal 3D Molecular Representation Learning Framework paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the Uni-Mol model in the Galactica: A Large Language Model for Science paper on the Tox21 dataset? | ROC-AUC |
What metrics were used to measure the ChemRL-GEM model in the ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction paper on the Tox21 dataset? | ROC-AUC |
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