luca0621/amex-gelab-448

--- 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: - `/home1/irteam/data-vol1/amex_sft_hf_448` (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: ```text <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.