Use SharpaDex naming consistently in README links and examples
Browse files
README.md
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@@ -21,7 +21,7 @@ tags:
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<p align="center">
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<a href="https://www.sharpa.com/"><img src="https://img.shields.io/badge/Website-sharpa.com-555555?style=flat-square" alt="Website"></a>
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<a href="https://github.com/sharpa-robotics"><img src="https://img.shields.io/badge/GitHub-Sharpa-24292f?style=flat-square&logo=github&logoColor=white" alt="GitHub"></a>
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<a href="https://huggingface.co/datasets/Sharpa-Robotics/
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<a href="https://creativecommons.org/licenses/by/4.0/"><img src="https://img.shields.io/badge/License-CC%20BY%204.0-2b7bb9?style=flat-square" alt="License"></a>
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</p>
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@@ -182,21 +182,21 @@ Install Git LFS before cloning from Hugging Face.
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```bash
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git lfs install
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git clone https://huggingface.co/datasets/Sharpa-Robotics/
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```
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To clone metadata first and fetch large files later:
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```bash
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GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/Sharpa-Robotics/
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```
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For a single task, use sparse checkout. This example downloads `clean_plate_with_eraser`:
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```bash
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git init
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cd
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git remote add origin https://huggingface.co/datasets/Sharpa-Robotics/
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git sparse-checkout init
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git sparse-checkout set clean_plate_with_eraser README.md
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git pull origin main
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@@ -210,7 +210,7 @@ Inspect `meta/info.json` to discover the exact schema and path templates for an
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import json
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from pathlib import Path
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dataset_root = Path("
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episode_root = (
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dataset_root
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/ "clean_plate_with_eraser"
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@@ -235,7 +235,7 @@ The repository uses a uniform `task / season / format` hierarchy. Every task is
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<summary>Repository layout</summary>
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```text
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-
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├── README.md
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├── clean_plate_with_eraser/
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│ ├── season_POC22027_2026_04_17_11_01_59_train/
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from pathlib import Path
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meta_root = Path(
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"
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"season_POC22027_2026_04_17_11_01_59_train/"
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"lerobot_v3.0/meta"
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)
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@@ -482,10 +482,10 @@ This dataset is released under the [Creative Commons Attribution 4.0 Internation
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If this dataset contributes to your research, please cite or acknowledge the dataset:
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```bibtex
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@misc{
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title = {SharpaDex v1.0: Large-Scale Bimanual Dexterous Manipulation Demonstrations},
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author = {{Sharpa}},
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howpublished = {\url{https://huggingface.co/datasets/Sharpa-Robotics/
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year = {2026}
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}
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```
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<p align="center">
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<a href="https://www.sharpa.com/"><img src="https://img.shields.io/badge/Website-sharpa.com-555555?style=flat-square" alt="Website"></a>
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<a href="https://github.com/sharpa-robotics"><img src="https://img.shields.io/badge/GitHub-Sharpa-24292f?style=flat-square&logo=github&logoColor=white" alt="GitHub"></a>
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<a href="https://huggingface.co/datasets/Sharpa-Robotics/SharpaDex-v1.0"><img src="https://img.shields.io/badge/Dataset-Hugging%20Face-f3b000?style=flat-square" alt="Dataset"></a>
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<a href="https://creativecommons.org/licenses/by/4.0/"><img src="https://img.shields.io/badge/License-CC%20BY%204.0-2b7bb9?style=flat-square" alt="License"></a>
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</p>
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```bash
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git lfs install
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git clone https://huggingface.co/datasets/Sharpa-Robotics/SharpaDex-v1.0
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```
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To clone metadata first and fetch large files later:
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```bash
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GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/Sharpa-Robotics/SharpaDex-v1.0
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```
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For a single task, use sparse checkout. This example downloads `clean_plate_with_eraser`:
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```bash
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git init SharpaDex-v1.0
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cd SharpaDex-v1.0
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git remote add origin https://huggingface.co/datasets/Sharpa-Robotics/SharpaDex-v1.0
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git sparse-checkout init
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git sparse-checkout set clean_plate_with_eraser README.md
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git pull origin main
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import json
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from pathlib import Path
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dataset_root = Path("SharpaDex-v1.0")
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episode_root = (
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dataset_root
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/ "clean_plate_with_eraser"
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<summary>Repository layout</summary>
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```text
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SharpaDex-v1.0/
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├── README.md
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├── clean_plate_with_eraser/
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│ ├── season_POC22027_2026_04_17_11_01_59_train/
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from pathlib import Path
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meta_root = Path(
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"SharpaDex-v1.0/clean_plate_with_eraser/"
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"season_POC22027_2026_04_17_11_01_59_train/"
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"lerobot_v3.0/meta"
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)
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If this dataset contributes to your research, please cite or acknowledge the dataset:
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```bibtex
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@misc{sharpadex_v1_2026,
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title = {SharpaDex v1.0: Large-Scale Bimanual Dexterous Manipulation Demonstrations},
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author = {{Sharpa}},
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howpublished = {\url{https://huggingface.co/datasets/Sharpa-Robotics/SharpaDex-v1.0}},
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year = {2026}
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}
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```
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