datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vsr_zeroshot_tsvkanari-wildfire-ignitions
kanari — worldwide wildfire ignitions archive
Continuously updated archive of significant wildfire events worldwide (136 countries), produced by
kanari, a free near-real-time map of wildfire ignitions.
Each row is one fire event: satellite hotspots from NASA FIRMS (VIIRS 375 m), NOAA GOES and
EUMETSAT Meteosat MTG are clustered into events (≈4 km cells); the first detection is the proxy for
ignition time. Public witness reports (Bluesky, press via GDELT, Telegram) are geoparsed… See the full description on the dataset page: https://huggingface.co/datasets/expansia/kanari-wildfire-ignitions.VSR_random_tsvretrieve_book_ignoreignmilton-translated-dataset-v1.0ignatius-tiny-aya-analysis
Tiny Aya Base — Failure Analysis Dataset
Model Tested
Model: CohereLabs/tiny-aya-base
Parameters: 3.35B
Released: February 17, 2026
Architecture: Dense decoder-only Transformer, pretrained on 6T tokens across 70+ languages
How I Loaded the Model
I used Modal (free tier, T4 GPU — 16GB VRAM) to run inference.
import modal
app = modal.App("tiny-aya-probe")
image = modal.Image.debian_slim(python_version="3.11").pip_install(
"torch", "transformers>=4.51.0"… See the full description on the dataset page: https://huggingface.co/datasets/IgnatiusBalayo2024/ignatius-tiny-aya-analysis.spydr-pockiris-claseasl