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https://huggingface.co/datasets/AnchorSR/TrainingData_Stage3/resolve/12478da170eaf67c02f1e334934e160df1045f51/README.md
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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/<source>/measurement.parquet: canonical question/answer rows.manifests/<source>/media_inventory.jsonl: unique required media and usage.audits/<source>/: selection counts, validation, checksums, and source policy.media/<source>/*.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.