BridgeData V2

Normalizer

BridgeData V2 — metrics, requirements, and run commands.

Last updated: Jul 11, 2026

On this page

About Metrics Task YAML Primary Environment setup Runtime environment Evaluation data Checkpoints & assets Key environment variables Verify setup Run Evaluation Set Candidate Artifacts Import Official Results Score Generated Artifacts Direct In-Tree Runner Requirements Inputs Environment Outputs

About

BridgeData V2 external benchmark task manifest for real-robot dataset and offline policy result normalization.

Metrics

BridgeData V2 external benchmark task manifest for real-robot dataset and offline policy result normalization.

Task YAML

worldfoundry/data/benchmarks/tasks/external/bridgedata-v2.yaml

Primary

success_rate

Metric	Focus
`success_rate`	Share of episodes or tasks that complete successfully.
`task_success`	Share of episodes or tasks that complete successfully.
`goal_success`	Share of episodes or tasks that complete successfully.
`action_accuracy`	Correctness of predicted actions, states, or outcomes against the benchmark success criterion.
`rollout_success`	Share of episodes or tasks that complete successfully.

Environment setup

Runtime environment

Conda env: worldplay-core.
Separate setup: defaults to the unified WorldFoundry env (needs_new_env: false); a benchmark-only conda env is usually not required.
BridgeData V2 需要已物化的评测 split 和 policy-result import；当前只配置通用 Python 环境。

Evaluation data

Candidate model outputs: set WORLDFOUNDRY_BRIDGEDATA_V2_RESULTS_PATH to the generated-video or rollout artifact root.
${WORLDFOUNDRY_DATA_DIR}/datasets/bridgedata-v2
${WORLDFOUNDRY_CACHE_DIR}/repos/rail-berkeley--bridge_data_v2

Checkpoints & assets

This benchmark is primarily rollout- or official-result-driven; see catalog requires and the task YAML for policy/simulator checkpoints.

Key environment variables

WORLDFOUNDRY_BRIDGEDATA_V2_DATASET_ROOT
WORLDFOUNDRY_BRIDGEDATA_V2_RESULTS_PATH

Verify setup

PYTHONPATH=${WORLDFOUNDRY_CACHE_DIR}/repos/rail-berkeley--bridge_data_v2:src ${WORLDFOUNDRY_CONDA_ROOT}/worldplay/bin/python -m worldfoundry.evaluation.tasks.execution.orchestration.runtime_preflight --profile bridgedata-v2 --manifest worldfoundry/data/benchmarks/runtime_profiles/official/bridgedata-v2.yaml --output-dir tmp/worldfoundry_preflight/bridgedata-v2 --json

Run Evaluation

After preparing the assets and candidate artifacts listed on this page, use the public run entry points below.

Set Candidate Artifacts

export WORLDFOUNDRY_GENERATED_ARTIFACT_DIR=/path/to/generated/artifacts

Import Official Results

worldfoundry-eval zoo benchmark-run \
  --benchmark-id bridgedata-v2 \
  --mode normalizer \
  --official-results-path /path/to/official/results-or-report \
  --generated-artifact-dir "${WORLDFOUNDRY_GENERATED_ARTIFACT_DIR}" \
  --output-dir tmp/bridgedata-v2/normalizer \
  --json

Score Generated Artifacts

worldfoundry-eval zoo benchmark-run \
  --benchmark-id bridgedata-v2 \
  --mode official-run \
  --generated-artifact-dir "${WORLDFOUNDRY_GENERATED_ARTIFACT_DIR}" \
  --output-dir tmp/bridgedata-v2/official-run \
  --json

Direct In-Tree Runner

worldfoundry-eval zoo benchmark-run --benchmark-id bridgedata-v2 --mode official-validation --official-results-path <official_results.json> --output-dir <out> --json