Roadmap

This roadmap separates planned work from implemented behavior. Do not treat these items as current features.

Short Term

  • More targeted example datasets for individual rule groups.
  • Stronger dataset diff coverage and clearer regression categories.
  • CI examples for common repository layouts.
  • Documentation for rule extension patterns.
  • More report examples and expected-output fixtures.
  • Conversion helpers from normalized adapter manifests into the native folder format.

Medium Term

  • Deeper semantic decoding beyond current metadata manifests: MCAP and ROS bag message payloads, Waymo image/lidar payload bytes, full nuScenes devkit/map/point-cloud semantics, and dataset-specific Hugging Face row schemas.
  • Additional dataset adapters such as BDD100K, SemanticKITTI, Open X-Embodiment, and RLDS/TFDS robotics datasets.
  • Richer sensor synchronization checks.
  • Richer static HTML report styling while keeping reports dependency-free.

Long Term

  • Rule plugin system.
  • Benchmark sample datasets.
  • Large-dataset performance profiling.
  • Rule plugin system beyond config-file rule policy.
  • Optional machine-readable schema export.

Non-Goals

  • Dataset hosting or storage.
  • Dataset version control.
  • Model evaluation.
  • Simulation or replay.
  • Cloud-first dataset management.