GreatGutsy/Alpamayo-tiny
Dataset with 2500 samples for Alpamayo R1. The architecture of the dataset: /train/shard_000xx.tar /val/shard_000yy.tar train - 80% (2000 samples) val - 20% (500 samples) Each .tar file contains 25 samples in .npy. Get the data from .npy files by using the keys: { "uuid": uuid, "video_quality": "320x576", "tokenized_data": inputs, "ego_history_xyz": data["ego_history_xyz"], "ego_history_rot":… See the full description on the dataset page: https://huggingface.co/datasets/GreatGutsy/Alpamayo-tiny.
Dataset with 2500 samples for Alpamayo R1. The architecture of the dataset: /train/shard000xx.tar /val/shard000yy.tar
train - 80% (2000 samples)
val - 20% (500 samples)
Each .tar file contains 25 samples in .npy. Get the data from .npy files by using the keys:
{ "uuid": uuid, "videoquality": "320x576", "tokenizeddata": inputs, "egohistoryxyz": data["egohistoryxyz"], "egohistoryrot": data["egohistoryrot"] }
The videos are allready compressed to 320x576 - the size alpamayo compresses original videos to (may result in slight deviations in accuracy).