--- pretty_name: Anchor Spatial Reasoning Stage-3 Training Data language: - en license: other task_categories: - visual-question-answering tags: - spatial-reasoning - metric-reasoning - multimodal configs: - config_name: master data_files: - split: train path: annotations/*/measurement.parquet --- # Anchor Spatial Reasoning — Stage 3 This repository is a provenance-preserving collection of spatial **measurement** questions for answer-supervised training. It is built from VSI-590K, SpaceVista-Full, HiSpatial-Data, and CA-VQA. SenseNova-SI-8M is intentionally out of scope for this release. The first deliverable is the complete `master` collection. Smaller and larger training views will be derived only after all eligible metric examples have been retained and audited; they are not early sampling quotas. ## Storage layout - `annotations//measurement.parquet`: canonical question/answer rows. - `manifests//media_inventory.jsonl`: unique required media and usage. - `audits//`: selection counts, validation, checksums, and source policy. - `media//*.tar`: uncompressed, approximately 4 GiB media shards. Media shards retain deterministic member paths. Parquet is the authoritative annotation format. Source-native answers and provenance are preserved alongside normalized numeric values and SI values whenever unit conversion is possible. ## Current status This dataset is being populated source by source. A source is considered complete only when its annotation row count, media inventory, TAR checksums, remote file sizes, and missing-media count have all passed validation. ## Licensing and provenance This is a mixed-source dataset. Every row contains `source`, `source_revision`, `license`, and `provenance`; downstream users must follow the original source's terms. In particular, CA-VQA/CubifyAnything carries its own non-commercial Creative Commons terms. Repository-level `license: other` is intentional and must not be interpreted as relicensing all source assets under one license. Source revisions and selection rules are recorded under `audits/` and in every annotation row. No ownership is asserted over upstream media.