Add dataset card

README.md

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+---
+license: mit
+tags:
+  - robotics
+  - imitation-learning
+  - rlds
+  - openvla
+  - libero
+  - boss-benchmark
+---
+
+# BOSS — RAMG-augmented demonstrations (RLDS)
+
+The augmented training set behind Setup B of Table I in
+[**BOSS**](https://arxiv.org/abs/2502.15679), in RLDS/TFDS form so it can be fed
+straight to OpenVLA fine-tuning.
+
+- **56,945 episodes** across 1,727 modified tasks (the 44 BOSS skills, each with
+  one visual modification generated by the Rule-based Automatic Modification
+  Generator)
+- 1,024 tfrecord shards, ~267 GB
+
+Produced by replaying each original demonstration in its modified environment and
+discarding failed replays, so the trajectory is unchanged and only the visual
+observation differs.
+
+## Usage
+
+```shell
+huggingface-cli download yygx/BOSS-data-augmentation --repo-type dataset \
+  --local-dir datasets
+
+# from inside your OpenVLA checkout
+DATASET_NAME=libero_bl3_all DATA_ROOT_DIR=./datasets \
+  bash ../integrations/openvla/shells/finetune_openvla.sh
+```
+
+## HDF5 form
+
+The BC baselines read HDF5, not RLDS, and that form is **not** distributed here.
+Regenerate it from the repository, which ships all 1,727 modified bddl files:
+
+```shell
+python RAMG/DA_demos_generation.py --benchmark data_augmentation
+```
+
+Roughly 6 minutes per task single-threaded; `--start-index N` resumes.
+
+## Citation
+
+```bibtex
+@article{yang2025boss,
+  title={BOSS: Benchmark for Observation Space Shift in Long-Horizon Task},
+  author={Yang, Yue and Zhao, Linfeng and Ding, Mingyu and Bertasius, Gedas and Szafir, Daniel},
+  journal={arXiv preprint arXiv:2502.15679},
+  year={2025}
+}
+```