Datasets:
The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label BiDemoSyn-Data@8782bbfbd437e0ded4dde8462651caf4befa05cd
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2368, in __iter__
example = _apply_feature_types_on_example(
example, self.features, token_per_repo_id=self.token_per_repo_id
)
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2285, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2162, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1446, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1469, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1144, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1081, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1102, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label BiDemoSyn-Data@8782bbfbd437e0ded4dde8462651caf4befa05cdNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
✅️ Datasets Collected using the Proposed BiDemoSyn
| [Task ⓵ grid cells 6×6] plugpen (2 objects / 1944 demos) |
[Task ⓶ grid cells 6×6] inserting (2 objects / 3888 demos) |
[Task ⓷ grid cells 12×12] unscrew (1 object / 576 demos) |
| [Task ⓸ grid cells 6×6] pouring (2 objects / 2592 demos) |
[Task ⓹ grid cells 6×6] pressing (2 objects / 1296 demos) |
[Task ⓺ grid cells 6×6] reorient (1 object / 720 demos) |
✅️ Data Format
For bimanual tasks (including plugpen, inserting, pouring and pressing) which have two manipulated objects, each demonstration has 9 corresponding files:
{TaskObjStr}-imgL_mask_arr.json,{TaskObjStr}-imgL_mask_{ObjA}.jpg,{TaskObjStr}-imgL_mask_{ObjB}.jpg,{TaskObjStr}-imgL_raw.jpg,{TaskObjStr}-imgR_mask_arr.json,{TaskObjStr}-imgR_mask_{ObjA}.jpg,{TaskObjStr}-imgR_mask_{ObjB}.jpg,{TaskObjStr}-imgR_raw.jpg,{TaskObjStr}-labels.json.{TaskObjStr}is a long string which is combined via task-related object names, orientations and positions. An example for the task inserting isordcup01-marker02_orient01-LcupX01Y01-RpenX04Y01, which means that the left part is a cup and the right part is a marker pen with orientation id1. TheX01Y01andX04Y01represent their coordinates in the defined grid cells.- File
{TaskObjStr}-imgL_mask_arr.jsonis a Dict, which uses the object's name as the key and object's [bbox, mask] as the value (from left image). - Files
{TaskObjStr}-imgL_mask_{ObjA}.jpgand{TaskObjStr}-imgL_mask_{ObjB}.jpgare two binary masks of manipulated objects (from left image). - File
{TaskObjStr}-imgL_raw.jpgis a original image of the left view from the binocular camera. - File
{TaskObjStr}-imgR_mask_arr.jsonis a Dict, which are results processed from the right image. - Files
{TaskObjStr}-imgR_mask_{ObjA}.jpgand{TaskObjStr}-imgR_mask_{ObjB}.jpgare two binary masks of manipulated objects (from right image). - File
{TaskObjStr}-imgR_raw.jpgis a original image of the right view from the binocular camera. - File
{TaskObjStr}-labels.jsonis a Dict, which contains sparse 7-DoF keyposes/keyframes (the value under each key is a list [position_x, position_y, position_z, rotation_x, rotation_y, rotation_y, gripper]) of the left-arm and right-arm asynchronously.
For bimanual (including unscrew and reorient) which have only one manipulated object, each demonstration has 7 corresponding files:
{TaskObjStr}-imgL_mask_arr.json,{TaskObjStr}-imgL_mask_{Obj}.jpg,{TaskObjStr}-imgL_raw.jpg,{TaskObjStr}-imgR_mask_arr.json,{TaskObjStr}-imgR_mask_{Obj}.jpg,{TaskObjStr}-imgR_raw.jpg,{TaskObjStr}-labels.json.{TaskObjStr}is also a long string which is combined via task-related object names, orientations and positions. An example for the task unscrew isbottle03_orient01_p1-LRbottleX01Y01, which means that the platform has only one bottle every time. TheX01Y01represents its coordinates in the defined grid cells.- These 7 files have the same format as above mentioned. The two missing files comparing to 9 are due to the absence of an object mask in the left and right images, respectively.

✅️ Citation
If you use our data in your research, please cite with:
@article{zhou2025one,
title={One-Shot Real-World Demonstration Synthesis for Scalable Bimanual Manipulation},
author={Huayi Zhou, Kui Jia},
journal={arXiv preprint arXiv:2512.09297},
year={2025}
}
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