EMMA-S2T-CAP-v2

v2 · proposed-contract

Warning

Depends on an unshipped rfgen feature. The rfgen Phase 2 signal-to-text caption annotator is not yet shipped. This dataset cannot be regenerated until the pinned rfgen release lands; the contract is proposed, not final.

Task. E-S2T-CAP - see Tasks. What you predict. a caption describing the scene. Target domain. FRONTIER - radio-frequency (RF) understanding research.

Input

Raw complex multi-antenna I/Q (in-phase and quadrature), shape (num_rx, 2, N) float32, with per-scene metadata. 8-element uniform linear array (ULA).

Labels

Text caption.

Splits

train and dev are public and regenerable; holdout is private and scored by prediction submission. Sample count to be pinned at v2.

Get it

emma download --dataset EMMA-S2T-CAP-v2 --split dev --out ./scenes

Metric

BLEU (Bilingual Evaluation Understudy; n-gram precision), METEOR (Metric for Evaluation of Translation with Explicit ORdering; synonym and stemming match), and CIDEr (Consensus-based Image Description Evaluation; consensus captioning). See Metrics.

What this tests

Captioning tests whether a backbone can describe an RF scene in natural language, a task no community does at scale today.

How it is made

Generated by rfgen. The exact configuration (commit, emitters, channel, label extraction, seeds) is in the developer recipe.

See Also