# BEND 2.0 registration: 8 scientific tasks, 15 protocol subleaderboards.
# Only documented fields and the HF-maintained lower_is_better convention are used.
# BEND 2.0 is not yet in the supported framework enum, so evaluation_framework is omitted.
# config/split are omitted: packaged mixed-format cross-validation is authoritative.
# Metric units are encoded in task IDs; task-mapping.md defines each protocol.
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