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| name: BEND 2.0 |
| description: 'Benchmarking the capabilities needed to design DNA: eight scientific |
| tasks, with separate frozen-embedding and native-output protocols on seven downstream |
| tasks (15 subleaderboards including one shared sequence-prior endpoint). Metrics |
| retain their published units and direction. Native-output multi-cell design still |
| fits a source-only linear head; cell-selective native outputs use source-only calibration. |
| Protocols and complete model/readout comparisons: https://machinelearninglifescience.github.io/BEND2/. |
| Use the BEND 2.0 package and task-specific held-gene, held-locus or held-family |
| protocols; Hub viewer data labels are not evaluation splits.' |
| leaderboard: |
| base_models_only: false |
| tasks: |
| - id: prior_loss_bits_per_base |
| lower_is_better: true |
| - id: opensplice_embeddings_spearman_rho |
| - id: opensplice_native_outputs_spearman_rho |
| - id: context_embeddings_spearman_rho |
| - id: context_native_outputs_spearman_rho |
| - id: tissue_identification_embeddings_accuracy_percent |
| - id: tissue_identification_native_outputs_accuracy_percent |
| - id: background_embeddings_spearman_rho |
| - id: background_native_outputs_spearman_rho |
| - id: repair_percentile_embeddings_residual_midrank_percentile |
| lower_is_better: true |
| - id: repair_percentile_native_outputs_residual_midrank_percentile |
| lower_is_better: true |
| - id: cell_selective_embeddings_utility_log2 |
| - id: cell_selective_native_outputs_utility_log2 |
| - id: atlas_profile_embeddings_gain_over_random_log2 |
| - id: atlas_profile_native_outputs_gain_over_random_log2 |
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