Download context_scaling/README.md from wangyanbo/MindView-Bench: direct link, hf CLI and curl.
- Browser
- Download file 1.45 kB
-
https://huggingface.co/datasets/wangyanbo/MindView-Bench/resolve/main/context_scaling/README.md
- Command line
-
hf download hf://datasets/wangyanbo/MindView-Bench/context_scaling/README.md
-
curl -L -o README.md https://huggingface.co/datasets/wangyanbo/MindView-Bench/resolve/main/context_scaling/README.md
Additional context-scaling experiments
This directory provides C3, C6, and C10 configurations using three, six, and ten reference RGB inputs. Each configuration contains the same 1,500 scene–query–target examples as the official benchmark: 4,500 configuration records, not 4,500 distinct test examples.
| File | Purpose |
|---|---|
metadata.jsonl |
Ordered inputs and instructions for all three configurations |
pairs.jsonl |
Correspondence between each official sample and its three configuration records |
protocol.json |
Comparison and pairing rules |
Group records by shot. Context lists are nested; preserve their frozen order and use consistent generation settings. Report each configuration separately, without pooling them into the official test denominator.
Assets are shared with the repository-wide archives. VGGT scoring retains the same ten reference views, plus target and prediction, across all configurations. Set VGGT_CANONICAL_JSON to this directory's metadata.jsonl in the current project runtime; its ten-view records supply the scoring references. Held-out targets and scoring-only inputs must remain outside the generator context.
Use the context_scaling Hugging Face configuration with split="test" and the same pinned revision as the downloaded assets. See the main card for download, verification, extraction, and data terms.