nielsr HF Staff commited on
Commit
436c099
·
verified ·
1 Parent(s): 2b0b61c

Add dataset card and metadata

Browse files

This PR adds a dataset card with metadata and information about the OTTER dataset. It includes links to the paper, project page, and instructions for downloading the datasets.

Files changed (1) hide show
  1. README.md +37 -0
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ task_categories:
4
+ - robotics
5
+ tags:
6
+ - vision-language-action
7
+ - vlm
8
+ - zero-shot
9
+ ---
10
+
11
+ 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).
12
+
13
+ **Project Page:** [https://ottervla.github.io/](https://ottervla.github.io/)
14
+
15
+ **Code:** [https://github.com/Max-Fu/otter](https://github.com/Max-Fu/otter)
16
+
17
+
18
+ **Dataset Download:**
19
+
20
+ 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:
21
+
22
+ ```bash
23
+ # first install huggingface-cli
24
+ pip install -U "huggingface_hub[cli]"
25
+ # download the datasets
26
+ mkdir -p dataset
27
+ pushd dataset
28
+ huggingface-cli download mlfu7/icrt_pour --repo-type dataset --local-dir .
29
+ huggingface-cli download mlfu7/icrt_drawer --repo-type dataset --local-dir .
30
+ huggingface-cli download mlfu7/icrt_poke --repo-type dataset --local-dir .
31
+ huggingface-cli download mlfu7/icrt_pickplace_1 --repo-type dataset --local-dir .
32
+ huggingface-cli download mlfu7/icrt_stack_mul_tfds --repo-type dataset --local-dir .
33
+ huggingface-cli download mlfu7/icrt_pickplace --repo-type dataset --local-dir .
34
+ popd
35
+ ```
36
+
37
+ 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).