Add dataset card and metadata

README.md

@@ -0,0 +1,37 @@
+---
+license: apache-2.0
+task_categories:
+- robotics
+tags:
+- vision-language-action
+- vlm
+- zero-shot
+---
+
+This repository contains the OTTER dataset, used in the paper [OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction](https://huggingface.co/papers/2503.03734).
+
+**Project Page:** [https://ottervla.github.io/](https://ottervla.github.io/)
+
+**Code:** [https://github.com/Max-Fu/otter](https://github.com/Max-Fu/otter)
+
+
+**Dataset Download:**
+
+The OTTER dataset is hosted on Hugging Face and is in TFDS format.  It supports pre-training on Open X-Embodiment.  You can download the datasets using the Hugging Face CLI:
+
+```bash
+# first install huggingface-cli
+pip install -U "huggingface_hub[cli]"
+# download the datasets
+mkdir -p dataset
+pushd dataset
+huggingface-cli download mlfu7/icrt_pour --repo-type dataset --local-dir .
+huggingface-cli download mlfu7/icrt_drawer --repo-type dataset --local-dir .
+huggingface-cli download mlfu7/icrt_poke --repo-type dataset --local-dir .
+huggingface-cli download mlfu7/icrt_pickplace_1 --repo-type dataset --local-dir .
+huggingface-cli download mlfu7/icrt_stack_mul_tfds --repo-type dataset --local-dir .
+huggingface-cli download mlfu7/icrt_pickplace --repo-type dataset --local-dir .
+popd
+```
+
+A converted LeRobot version of the dataset is available for fine-tuning Pi0 ([here](https://huggingface.co/datasets/mlfu7/pi0_conversion)).  Fine-tuning scripts are provided [here](https://github.com/Max-Fu/openpi).