Create t-shirt folding manifest dataset
Browse files- README.md +81 -0
- data/train.jsonl +5 -0
README.md
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---
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pretty_name: T-Shirt Folding Mixed Manifest
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tags:
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- robotics
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- imitation-learning
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- lerobot
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- openpi
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task_categories:
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- other
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size_categories:
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- n<1K
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---
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# T-Shirt Folding Mixed Manifest
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This repo is a lightweight manifest for a public T-shirt folding collection built from five source datasets:
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- `Gongsta/trlc_tshirt_folding`
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- `Gongsta/trlc_tshirt_folding_impedance`
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- `Gongsta/dagger_dk1_tshirt_corrections`
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- `Gongsta/krish-simpler-tshirt`
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- `Gongsta/e7-tshirt-folding`
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The goal is to provide one clean public entrypoint while preserving each source dataset at its highest native frame rate.
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## What Is In This Repo
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Each row in `data/train.jsonl` describes one source dataset and includes:
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- `source_repo`
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- `source_tag`
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- `native_fps`
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- `is_dagger`
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- `is_impedance`
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- `scene_type`
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- `shirt_layout`
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- `recommended_common_fps`
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This repo does **not** duplicate the source videos. It is a manifest / collection layer that documents provenance and intended loading behavior.
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## Source Tags
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- `apartment_original_multi_shirt`
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- `apartment_impedance_multi_shirt`
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- `multi_shirt_dagger_corrections`
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- `apartment_single_shirt`
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- `building_single_shirt`
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## Recommended Loading
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If you want to combine all five datasets with exact-stride downsampling and no interpolation, use:
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- `target_fps = 10`
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Why:
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- `30 -> 10` is exact stride `3`
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- `50 -> 10` is exact stride `5`
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If you want to keep native FPS, load the listed source repos directly and treat this dataset as the metadata / provenance index.
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## Notes
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- `Gongsta/trlc_tshirt_folding` is the only `30 Hz` source.
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- `Gongsta/dagger_dk1_tshirt_corrections` is the DAgger dataset and is `50 Hz`.
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- The other listed sources are `50 Hz`.
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## Example
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```python
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repo_ids = [
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"Gongsta/trlc_tshirt_folding",
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"Gongsta/trlc_tshirt_folding_impedance",
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"Gongsta/dagger_dk1_tshirt_corrections",
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"Gongsta/krish-simpler-tshirt",
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"Gongsta/e7-tshirt-folding",
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]
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# For an exact-stride common timebase across all five:
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target_fps = 10
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```
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data/train.jsonl
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{"source_repo":"Gongsta/trlc_tshirt_folding","source_tag":"apartment_original_multi_shirt","native_fps":30,"is_dagger":false,"is_impedance":false,"scene_type":"apartment","shirt_layout":"multi_shirt","recommended_common_fps":10}
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{"source_repo":"Gongsta/trlc_tshirt_folding_impedance","source_tag":"apartment_impedance_multi_shirt","native_fps":50,"is_dagger":false,"is_impedance":true,"scene_type":"apartment","shirt_layout":"multi_shirt","recommended_common_fps":10}
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{"source_repo":"Gongsta/dagger_dk1_tshirt_corrections","source_tag":"multi_shirt_dagger_corrections","native_fps":50,"is_dagger":true,"is_impedance":false,"scene_type":"mixed","shirt_layout":"multi_shirt","recommended_common_fps":10}
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{"source_repo":"Gongsta/krish-simpler-tshirt","source_tag":"apartment_single_shirt","native_fps":50,"is_dagger":false,"is_impedance":false,"scene_type":"apartment","shirt_layout":"single_shirt","recommended_common_fps":10}
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{"source_repo":"Gongsta/e7-tshirt-folding","source_tag":"building_single_shirt","native_fps":50,"is_dagger":false,"is_impedance":false,"scene_type":"building","shirt_layout":"single_shirt","recommended_common_fps":10}
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