Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label Embodied-IQA@4a075d73c94a30dae9e78d520e6c8645955b6661
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2092, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1995, in cast_array_to_feature
return feature.cast_storage(array)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1169, in cast_storage
[self._strval2int(label) if label is not None else None for label in storage.to_pylist()]
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1098, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label Embodied-IQA@4a075d73c94a30dae9e78d520e6c8645955b6661Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
CSV Schema
| Column | Type | Description |
|---|---|---|
dis_path |
string | Distorted image filename |
ref_path |
string | Reference image filename |
reality_type |
char | R=Real, S=Simulation |
perspective |
char | T=Third-person, F=First-person |
main_object |
int | Object category (1-5) |
scene |
char | Scene context (H/I/V/L/O) |
dis_type |
string | Distortion type code (e.g., T01) |
dis_level |
string | Distortion severity (e.g., S7) |
vla_score_1 |
float | VLA Position score |
vla_score_2 |
float | VLA Rotation score |
vla_score_3 |
float | VLA Gripper score |
vla_score |
float | VLA final aggregated score |
vlm_score |
float | VLM score |
Class Label Mappings
Scene Context Classification
| Symbol | Category | Description |
|---|---|---|
| H | Home Environment | Kitchens, living rooms, home appliances, residential settings |
| I | Industrial Environment | Factories, warehouses, assembly lines, manufacturing facilities |
| V | Virtual Simulation | Synthetic environments, VR/AR generated scenes, simulation software output |
| L | Lab Environment | Research laboratories, experimental setups, testing facilities |
| O | Other | Scenes that do not fit above categories or unclassifiable contexts |
Main Object Categorization
| Symbol | Category | Examples |
|---|---|---|
| 1 | Mechanical Components | Bolts, gears, pipes, mechanical parts, structural elements |
| 2 | Daily Objects | Cups, tableware, household items, domestic articles |
| 3 | Electronic Devices | Buttons, displays, power outlets, circuit boards, screens |
| 4 | Tools | Wrenches, calipers, safety equipment, hand tools, instruments |
| 5 | Other | Composite objects, unknown items, unclassifiable entities |
Perspective Identification
| Symbol | Meaning | Description |
|---|---|---|
| F | First-person | Robot egocentric view (wrist camera, onboard camera) |
| T | Third-person | External observation view (stationary camera, external observer) |
Reality Type Detection
| Symbol | Meaning | Description |
|---|---|---|
| R | Real | Real-world captured photography, authentic sensor data |
| S | Simulation | Rendered or simulated generation, synthetic data |
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