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README.md

@@ -7,19 +7,14 @@ tags:
 - imitation-learning
 - lerobot
 - video
-- timeseries
-- reinforcement-learning
-- multimodal
 - embodied-ai
-- english
-- tabular
 ---
 
 # RobotWin 2.0 (Preprocessed LeRobot v2.1 Release)
 
 This repository releases **our preprocessed RoboTwin / RobotWin 2.0 dataset** in LeRobot `v2.1` format for the open-source release of **Fast-WAM: Do World Action Models Need Test-time Future Imagination?**
 
-This is **not** the official upstream RoboTwin release. Instead, it is our paper-specific processed version prepared to support training, evaluation, and reproducibility for our project.
+This is not the official upstream RoboTwin release. It is our paper-specific processed version prepared to support training, evaluation, and reproducibility for our project.
 
 This Hugging Face repository distributes the dataset as split `.tar.gz` archives to make large-scale download and release management easier. After extraction, the recovered dataset keeps the original LeRobot `v2.1` directory structure.
 
@@ -39,14 +34,10 @@ robotwin2.0.tar.gz.part-07
 - Provenance: preprocessed from RoboTwin 2.0 for the Fast-WAM open-source release
 - Format: LeRobot `v2.1`
 - Robot type: `aloha`
-- Split: `train`
+- FPS: `50`
 - Episodes: `27,500`
 - Frames: `6,075,103`
-- Language instructions: `921,032`
-- Camera streams: `82,500` video files across `3` views
-- FPS: `50`
-- Joint state dimension: `14`
-- Action dimension: `14`
+- Number of archive parts: `8`
 
 ## Project
 
@@ -54,39 +45,6 @@ robotwin2.0.tar.gz.part-07
 - Paper: https://arxiv.org/abs/2603.16666
 - Code repository: https://github.com/yuantianyuan01/FastWAM
 
-## Attribution and Scope
-
-This dataset is derived from RoboTwin 2.0, but the release here is the **preprocessed version used in our own paper**.
-
-Use this repository if you want the exact data layout used by our codebase and experiments. If you want the original RoboTwin release, please refer to the official RoboTwin project links listed below.
-
-## Modalities
-
-- Low-dimensional observations: `observation.state` (`float32`, shape `[14]`)
-- Actions: `action` (`float32`, shape `[14]`)
-- Images:
-  - `observation.images.cam_high`
-  - `observation.images.cam_left_wrist`
-  - `observation.images.cam_right_wrist`
-- Video encoding:
-  - Resolution: `480x640`
-  - Codec: `av1`
-  - Pixel format: `yuv420p`
-
-## Directory Layout
-
-After extraction, the dataset uses the LeRobot `v2.1` layout:
-
-```text
-robotwin2.0/
-  data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
-  videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
-  meta/info.json
-  meta/tasks.jsonl
-  meta/episodes.jsonl
-  meta/episodes_stats.jsonl
-```
-
 ## Download and Extract
 
 Download all archive parts from this repository, then reconstruct and extract the dataset with:
@@ -104,11 +62,7 @@ robotwin2.0/
   videos/
 ```
 
-## Loading
-
-This dataset is released in LeRobot `v2.1` format after extraction. Please use a loader compatible with that format.
-
-If you use this repository's local compatibility code, see the LeRobot dataset implementation under `src/fastwam/datasets/lerobot/`.
+After extraction, the dataset can be loaded as a standard LeRobot `v2.1` dataset.
 
 ## Notes
 
@@ -123,7 +77,7 @@ It is released under the MIT license, consistent with the upstream RoboTwin 2.0
 
 ## Citation
 
-If you use this release, please cite the Fast-WAM paper, since this repository distributes the processed version used by that project.
+If you use this release, please cite the Fast-WAM paper.
 
 ```bibtex
 @misc{yuan2026fastwam,