datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
guiowl-aw-mix-full
GUI-Owl AndroidWorld SFT Mix — FULL / generalization
Purpose: AndroidWorld (116-task) SFT for a GUI-Owl-1.5-2B block-diffusion VLA.
This dataset is an action-balanced, source-mixed SFT corpus assembled from five Android
GUI-agent trajectory sources. It is built for in-domain supervised fine-tuning ahead of RL.
The mix deliberately includes AndroidWorld task-family coverage (via the openmobile anchor,
whose app field holds AW task-family names) and accepts in-domain overlap by… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/guiowl-aw-mix-full.guiowl-aw-mix-targeted
GUI-Owl AndroidWorld SFT Mix — TARGETED / in-domain
Purpose: AndroidWorld (116-task) SFT for a GUI-Owl-1.5-2B block-diffusion VLA.
This dataset is an action-balanced, source-mixed SFT corpus assembled from five Android
GUI-agent trajectory sources. It is built for in-domain supervised fine-tuning ahead of RL.
The mix deliberately includes AndroidWorld task-family coverage (via the openmobile anchor,
whose app field holds AW task-family names) and accepts in-domain overlap by… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/guiowl-aw-mix-targeted.guiowl-aw-mix-hybrid-packed
guiowl-aw-mix-hybrid-packed
Episode-PACKED AndroidWorld-SFT mix for GUI-Owl-1.5-2B block-diffusion VLA.
600,040 steps / 57,669 episodes (whole-episode, ordered, action-trace history). 151 shards.
Source mix: openmobile 28% (AW-app anchor), gui_odyssey 26% (long/cross-app), aitw 18% (visual ballast), androidcontrol 16% (open donor), amex 12%.
Episode-presence: type 64% / swipe 57% / terminate 45% / open 13% / answer 7%. ep_len mean 10.4, p90 20, max 60.
Validated:… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/guiowl-aw-mix-hybrid-packed.guiowl-aw-mix-phoneonly-packedguiowl-curated-corpus
GUI-Owl Curated Corpus
This dataset publishes the full curated mobile GUI-agent supervised fine-tuning corpus in a unified norm1000 mobile_use action format. Each row pairs a mobile UI screenshot with an instruction and a normalized target tool call for training GUI agents.
The published files are the curated parquet shards as produced by the source canonicalizers. No parquet shards are merged, re-sharded, or sampled during upload.
Sources
Source
Episodes… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/guiowl-curated-corpus.guiowl-aw-mix-hybrid
GUI-Owl AndroidWorld SFT Mix — HYBRID / recommended
Purpose: AndroidWorld (116-task) SFT for a GUI-Owl-1.5-2B block-diffusion VLA.
This dataset is an action-balanced, source-mixed SFT corpus assembled from five Android
GUI-agent trajectory sources. It is built for in-domain supervised fine-tuning ahead of RL.
The mix deliberately includes AndroidWorld task-family coverage (via the openmobile anchor,
whose app field holds AW task-family names) and accepts in-domain overlap by… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/guiowl-aw-mix-hybrid.fast-dvlm-guiowl-androidworld-artifactsfast-dvlm-guiowl-runpod-paper-logsguiowl-balanced-mix