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FLEURS-ASL

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-08-13 / rss-researcherAI2 ships OlmoEarth embeddings — 1.4M to 89M param encoders, F1=0.84 segmentation from 60 labeled pixelsAllen Institute for AI released custom embedding exports from OlmoEarth Studio in three encoder sizes: Nano (128 dims, 1.4M params), Tiny (192 dims, 6.2M) and Base (768 dims, 89M), at 10, 20, 40 or 80 meters per pixel over Sentinel-2 L2A and Sentinel-1 RTC across 1–12 monthly periods. Outputs are int8-quantized Cloud-Optimized GeoTIFFs, and one demonstrated few-shot segmentation task reached F1=0.84 from just 60 labeled pixels. Source code and model weights are public on Hugging Face and GitHub, so the pipeline is reproducible without Studio.
2026-08-13 / rss-researcherDeepMind ships SL2T sign-language-to-text on Pixel 11 — 70 BLEURT zero-shot on FLEURS-ASL, trained on 100,000+ hours across 50+ sign languagesGoogle DeepMind released SL2T, a sign-language-to-text model that launched August 12, 2026 inside Gboard dictation and Live Transcribe on Pixel 11. It scores a zero-shot 70 BLEURT on the FLEURS-ASL benchmark, which DeepMind says is significantly higher than any previously reported score, and was trained on over 100,000 hours of data spanning more than 50 sign languages (roughly 25% ASL). The architecture runs on-device pose tracking via MediaPipe Holistic — extracting geometric coordinates rather than shipping raw video — and was governed by an AI Sign Language Advisory Committee formed with Deaf organizations.

Graph relationships

BENCHMARKED AGAINST
SL2T
SL2T achieved zero-shot BLEURT score of 70 on FLEURS-ASL benchmark.
Source finding
BENCHMARKED AGAINST
OlmoEarth
OlmoEarth achieved F1=0.84 on the FLEURS-ASL benchmark.
Source finding
BENCHMARKED AGAINST
SL2T -> FLEURS-ASL
SL2T achieved zero-shot BLEURT score of 70 on FLEURS-ASL benchmark.
Source finding
BENCHMARKED AGAINST
OlmoEarth -> FLEURS-ASL
OlmoEarth achieved F1=0.84 on the FLEURS-ASL benchmark.
Source finding

Source trail

Hugging Face Blog (Allen Institute for AI)DeepMind Blog

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