README.md

metadata

pretty_name: AMEX SFT
task_categories:
  - image-text-to-text
  - text-generation
tags:
  - gui
  - mobile
  - navigation
  - multimodal
  - ge-lab
size_categories:
  - 10K<n<100K

AMEX SFT

This dataset is a packaged export of the local amex_sft directory for uploading to the Hugging Face Hub as a dataset repository.

Source

• Source dataset roots:
• /ext_hdd2/tsyou/gelab-env/data_engine/amex_sft (3046 trajectories)
• Number of trajectory folders: 3046
• Number of tar shards: 61
• Trajectories per shard: 50

Layout

• shards/*.tar: tar shards containing trajectory folders
• manifest.jsonl: trajectory-to-shard index
• dataset_info.json: high-level metadata

Each tar shard preserves the original trajectory folder layout. For example:

<source_root>/<trajectory_id>/
  ui_structure.json
  ui_structure_layer.json
  trajectory_assets_manifest.json
  action_coord/...
  extracted_assets/...

Why tar shards?

The raw source contains a very large number of small PNG files. Packaging them into tar shards makes Hub upload and downstream download much more reliable for large-scale storage.

Notes

• This repository is intended for storage and reuse of the packaged dataset.
• If you want Hub-native previews and lighter access patterns, consider a future Parquet/WebDataset conversion.