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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
scene_id: string
shard: string
frames: int64
views: int64
points: int64
projection_error_pixels: double
questions: null
video: string
video_id: int64
to
{'video_id': Value('int64'), 'video': Value('string'), 'questions': List(Json(decode=True))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
scene_id: string
shard: string
frames: int64
views: int64
points: int64
projection_error_pixels: double
questions: null
video: string
video_id: int64
to
{'video_id': Value('int64'), 'video': Value('string'), 'questions': List(Json(decode=True))}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
video_id int64 | video string | questions list |
|---|---|---|
0 | data/raw/clevrer/train/video_00000-01000/video_00000.mp4 | [
{
"question_id": 0,
"question": "What is the shape of the object to collide with the purple object?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"purple",
"filter_color",
"unique",
"filter_collision",
... |
1 | data/raw/clevrer/train/video_00000-01000/video_00001.mp4 | [
{
"question_id": 0,
"question": "What is the color of the object that exits the scene?",
"question_type": "descriptive",
"question_subtype": "query_color",
"program": [
"events",
"objects",
"filter_out",
"unique",
"get_object",
"query_color"
],
"answer... |
2 | data/raw/clevrer/train/video_00000-01000/video_00002.mp4 | [
{
"question_id": 0,
"question": "What material is the object to collide with the gray object?",
"question_type": "descriptive",
"question_subtype": "query_material",
"program": [
"events",
"objects",
"gray",
"filter_color",
"unique",
"filter_collision",
... |
3 | data/raw/clevrer/train/video_00000-01000/video_00003.mp4 | [
{
"question_id": 0,
"question": "What material is the object to collide with the cyan object?",
"question_type": "descriptive",
"question_subtype": "query_material",
"program": [
"events",
"objects",
"cyan",
"filter_color",
"unique",
"filter_collision",
... |
4 | data/raw/clevrer/train/video_00000-01000/video_00004.mp4 | [
{
"question_id": 0,
"question": "What shape is the first object to collide with the rubber cube?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"rubber",
"filter_material",
"cube",
"filter_shape",
"... |
5 | data/raw/clevrer/train/video_00000-01000/video_00005.mp4 | [
{
"question_id": 0,
"question": "What is the color of the object to collide with the yellow object?",
"question_type": "descriptive",
"question_subtype": "query_color",
"program": [
"events",
"objects",
"yellow",
"filter_color",
"unique",
"filter_collision",
... |
6 | data/raw/clevrer/train/video_00000-01000/video_00006.mp4 | [
{
"question_id": 0,
"question": "What shape is the first object that enters the scene?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"filter_in",
"first",
"filter_order",
"get_object",
"query_shape... |
7 | data/raw/clevrer/train/video_00000-01000/video_00007.mp4 | [
{
"question_id": 0,
"question": "What is the shape of the object to collide with the blue sphere?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"blue",
"filter_color",
"sphere",
"filter_shape",
"un... |
8 | data/raw/clevrer/train/video_00000-01000/video_00008.mp4 | [
{
"question_id": 0,
"question": "What is the shape of the object to collide with the purple object?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"purple",
"filter_color",
"unique",
"filter_collision",
... |
9 | data/raw/clevrer/train/video_00000-01000/video_00009.mp4 | [
{
"question_id": 0,
"question": "What is the color of the first object that enters the scene?",
"question_type": "descriptive",
"question_subtype": "query_color",
"program": [
"events",
"objects",
"filter_in",
"first",
"filter_order",
"get_object",
"quer... |
10 | data/raw/clevrer/train/video_00000-01000/video_00010.mp4 | [
{
"question_id": 0,
"question": "What material is the object to collide with the yellow sphere?",
"question_type": "descriptive",
"question_subtype": "query_material",
"program": [
"events",
"objects",
"yellow",
"filter_color",
"sphere",
"filter_shape",
... |
11 | data/raw/clevrer/train/video_00000-01000/video_00011.mp4 | [
{
"question_id": 0,
"question": "What shape is the first object to collide with the metal object?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"metal",
"filter_material",
"unique",
"filter_collision",
... |
12 | data/raw/clevrer/train/video_00000-01000/video_00012.mp4 | [
{
"question_id": 0,
"question": "What is the material of the object to collide with the brown object?",
"question_type": "descriptive",
"question_subtype": "query_material",
"program": [
"events",
"objects",
"brown",
"filter_color",
"unique",
"filter_collision... |
13 | data/raw/clevrer/train/video_00000-01000/video_00013.mp4 | [
{
"question_id": 0,
"question": "What material is the first object to collide with the sphere?",
"question_type": "descriptive",
"question_subtype": "query_material",
"program": [
"events",
"objects",
"sphere",
"filter_shape",
"unique",
"filter_collision",
... |
14 | data/raw/clevrer/train/video_00000-01000/video_00014.mp4 | [
{
"question_id": 0,
"question": "What shape is the last object to collide with the gray cylinder?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"gray",
"filter_color",
"cylinder",
"filter_shape",
"... |
15 | data/raw/clevrer/train/video_00000-01000/video_00015.mp4 | [
{
"question_id": 0,
"question": "What is the color of the object to collide with the yellow object?",
"question_type": "descriptive",
"question_subtype": "query_color",
"program": [
"events",
"objects",
"yellow",
"filter_color",
"unique",
"filter_collision",
... |
16 | data/raw/clevrer/train/video_00000-01000/video_00016.mp4 | [
{
"question_id": 0,
"question": "What is the shape of the last object to collide with the yellow sphere?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"yellow",
"filter_color",
"sphere",
"filter_shape",
... |
17 | data/raw/clevrer/train/video_00000-01000/video_00017.mp4 | [
{
"question_id": 0,
"question": "What shape is the object to collide with the red object?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"red",
"filter_color",
"unique",
"filter_collision",
"unique"... |
18 | data/raw/clevrer/train/video_00000-01000/video_00018.mp4 | [
{
"question_id": 0,
"question": "What color is the first object to collide with the yellow cylinder?",
"question_type": "descriptive",
"question_subtype": "query_color",
"program": [
"events",
"objects",
"yellow",
"filter_color",
"cylinder",
"filter_shape",
... |
19 | data/raw/clevrer/train/video_00000-01000/video_00019.mp4 | [
{
"question_id": 0,
"question": "What is the material of the object that enters the scene?",
"question_type": "descriptive",
"question_subtype": "query_material",
"program": [
"events",
"objects",
"filter_in",
"unique",
"get_object",
"query_material"
],
... |
20 | data/raw/clevrer/train/video_00000-01000/video_00020.mp4 | [
{
"question_id": 0,
"question": "What material is the first object to collide with the red cube?",
"question_type": "descriptive",
"question_subtype": "query_material",
"program": [
"events",
"objects",
"red",
"filter_color",
"cube",
"filter_shape",
"uni... |
21 | data/raw/clevrer/train/video_00000-01000/video_00021.mp4 | [
{
"question_id": 0,
"question": "What shape is the object to collide with the purple object?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"purple",
"filter_color",
"unique",
"filter_collision",
"u... |
22 | data/raw/clevrer/train/video_00000-01000/video_00022.mp4 | [
{
"question_id": 0,
"question": "What shape is the object to collide with the red cylinder?",
"question_type": "descriptive",
"question_subtype": "query_shape",
"program": [
"events",
"objects",
"red",
"filter_color",
"cylinder",
"filter_shape",
"unique"... |
23 | data/raw/clevrer/train/video_00000-01000/video_00023.mp4 | [
{
"question_id": 0,
"question": "What color is the last object that enters the scene?",
"question_type": "descriptive",
"question_subtype": "query_color",
"program": [
"events",
"objects",
"filter_in",
"last",
"filter_order",
"get_object",
"query_color"
... |
End of preview.
R4JEPA benchmark annotations
This repository stores the annotation manifests used for the R4JEPA experiments. It does not redistribute benchmark videos, images, pretrained weights, or processed tensor caches.
The annotations/ directory contains the exact MV-Kubric, Physion V1.5, and CLEVRER manifests used by the experiment pipeline. The tools/ directory records the upstream download URLs and preparation commands. Users must follow the licenses and terms of the upstream datasets.
Expected manifest sizes:
| Manifest | Records |
|---|---|
mvkubric_train.jsonl |
450 |
mvkubric_dev.jsonl |
50 |
mvkubric_test.jsonl |
30 |
physion_readout.jsonl |
5,608 |
physion_test.jsonl |
1,035 |
clevrer_train.jsonl |
10,000 |
clevrer_validation.jsonl |
5,000 |
SHA256SUMS records the uploaded annotation file hashes. Download and preparation code is included for reproducibility; upstream media remains at its original source.
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