KMK040412/guiowl-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.
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
Grand total: 740,094 episodes and 5,934,188 steps across 612 parquet shards.
Format
Parquet shards are stored at:
data/<source>/<shard>.parquetreports/<source>_report.jsonmanifest.json
All sources use the same mobile GUI-agent SFT schema. Important columns are:
target_json contains a <tool_call> payload whose name is mobile_use. Coordinate actions use [x, y] points in guiowl_norm1000_xy, meaning both axes are normalized into the inclusive 0-1000 range.
Mixing
This repository publishes the full curated data. Source mixing ratios are applied at training time by the dataloader or sampler, not by sampling in this upload.
Reports
Each source report is copied from the corresponding curation output directory and includes the original episode count, step count, shard count, action distribution, coordinate statistics, and coordinate out-of-range count.
