Datasets:

Mayank-p3108
/

MechVerse

Error code:   FeaturesError
Exception:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/Mayank-p3108/MechVerse@bd0862fc0640335bfd5a027c20f253aa1c05be7b/train.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 246, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 4195, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2533, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 288, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/Mayank-p3108/MechVerse@bd0862fc0640335bfd5a027c20f253aa1c05be7b/train.json.

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MechVerse

MechVerse is a large-scale video dataset of mechanical assembly animations for fine-tuning and evaluating generative video models on mechanical motion understanding.

Overview

21,156 video clips from 1,357 assemblies across 141 categories
Each clip paired with a structured natural language prompt
Two sources: PartNet-Mobility (904 assemblies) + curated CAD assemblies (453)

Complexity Tiers

Tier	Clips	Description
Easy	15,720	Independent part motion (1–2 parts)
Medium	2,412	Kinematically coupled motion (3–8 parts)
Hard	3,024	Dense coupling, 10–50 parts

Clip Variations

Each assembly rendered across 3 speeds (Slow/Mid/Fast), 2–3 camera viewpoints, and 2 motion directions (Forward/Reversed). All clips are 32 frames at 16 FPS (2 seconds).

Data Splits

File	Clips
`train.json`	18,672
`test.json`	1,004
`full_dataset.json`	21,156

License

CC-BY-4.0

Downloads last month: 2

Total file size:

6.27 GB