datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CloudSEN12-nolabel🚨 New Dataset Version Released!
We are excited to announce the release of Version [1.1] of our dataset!
This update includes:
[L2A & L1C support].
[Temporal support].
[Check the data without downloading (Cloud-optimized properties)].
📥 Go to: https://huggingface.co/datasets/tacofoundation/cloudsen12 and follow the instructions in colab
CloudSEN12 NOLABEL
A Benchmark Dataset for Cloud Semantic Understanding
CloudSEN12 is a LARGE dataset (~1 TB) for cloud semantic… See the full description on the dataset page: https://huggingface.co/datasets/csaybar/CloudSEN12-nolabel.CloudSEN12-scribble🚨 New Dataset Version Released!
We are excited to announce the release of Version [1.1] of our dataset!
This update includes:
[L2A & L1C support].
[Temporal support].
[Check the data without downloading (Cloud-optimized properties)].
📥 Go to: https://huggingface.co/datasets/tacofoundation/cloudsen12 and follow the instructions in colab
CloudSEN12 NOLABEL
A Benchmark Dataset for Cloud Semantic Understanding
CloudSEN12 SCRIBBLE
A Benchmark Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/csaybar/CloudSEN12-scribble.CloudSEN12-high
🚨 New Dataset Version Released!
We are excited to announce the release of Version [1.1] of our dataset!
This update includes:
[L2A & L1C support].
[Temporal support].
[Check the data without downloading (Cloud-optimized properties)].
📥 Go to: https://huggingface.co/datasets/tacofoundation/cloudsen12 and follow the instructions in colab
CloudSEN12 HIGH-QUALITY
A Benchmark Dataset for Cloud Semantic Understanding
CloudSEN12… See the full description on the dataset page: https://huggingface.co/datasets/csaybar/CloudSEN12-high.CloudSurf-4B-FC-bfcl-results
CloudSurf-4B-FC — raw BFCL V4 result files
Raw, unmodified BFCL V4 evaluation outputs backing the leaderboard submission
PR ShishirPatil/gorilla#1357
for CloudSurf-4B-FC
(a google/gemma-4-E4B-it fine-tune, Apache-2.0).
Both sides are included: our tuned runs and the stock gemma-4-E4B-it
baselines re-measured on the identical rig, so every number in the PR can be
recomputed from primary files.
Whiskers are the min–max across the three runs on each side. Stock wins
Irrelevance… See the full description on the dataset page: https://huggingface.co/datasets/cloudsurf-software/CloudSurf-4B-FC-bfcl-results.