Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
schema_version: int64
source_lesson_path: string
tier: string
license: string
subsample_stride: int64
frame_count: int64
frame_time_seconds: double
effective_fps: double
duration_seconds: double
subjects: list<item: string>
child 0, item: string
files: list<item: struct<path: string, size: int64, sha256: string>>
child 0, item: struct<path: string, size: int64, sha256: string>
child 0, path: string
child 1, size: int64
child 2, sha256: string
to
{'subject_1': {'Hips': List(Value('float64')), 'Spine': List(Value('float64')), 'Spine1': List(Value('float64')), 'Spine2': List(Value('float64')), 'Spine3': List(Value('float64')), 'Spine4': List(Value('float64')), 'Neck': List(Value('float64')), 'Head': List(Value('float64')), 'LeftShoulder': List(Value('float64')), 'LeftArm': List(Value('float64')), 'LeftForeArm': List(Value('float64')), 'LeftHand': List(Value('float64')), 'LeftHandThumb1': List(Value('float64')), 'LeftHandThumb2': List(Value('float64')), 'LeftHandThumb3': List(Value('float64')), 'LeftHandIndex1': List(Value('float64')), 'LeftHandIndex2': List(Value('float64')), 'LeftHandIndex3': List(Value('float64')), 'LeftHandMiddle1': List(Value('float64')), 'LeftHandMiddle2': List(Value('float64')), 'LeftHandMiddle3': List(Value('float64')), 'LeftHandRing1': List(Value('float64')), 'LeftHandRing2': List(Value('float64')), 'LeftHandRing3': List(Value('float64')), 'LeftHandPinky1': List(Value('float64')), 'LeftHandPinky2': List(Value('float64')), 'LeftHandPinky3': List(Value('float64')), 'RightShoulder': List(Value('float64')), 'RightArm': List(Value('float64')), 'RightForeArm': List(Value('float64')), 'RightHand': List(Value('float64')), 'RightHandThumb1': List(Value('float64')), 'RightHandThumb2': List(Value('float64')), 'RightHandThumb3': List(Value('float64')), 'RightHandIndex1': List(Value('float64')), 'RightHandIndex2': List(Value('float64')), 'RightHandIndex3': List(Value('float64')), 'RightHandMiddle1': List(Val
...
Middle2': List(Value('float64')), 'LeftHandMiddle3': List(Value('float64')), 'LeftHandRing1': List(Value('float64')), 'LeftHandRing2': List(Value('float64')), 'LeftHandRing3': List(Value('float64')), 'LeftHandPinky1': List(Value('float64')), 'LeftHandPinky2': List(Value('float64')), 'LeftHandPinky3': List(Value('float64')), 'RightShoulder': List(Value('float64')), 'RightArm': List(Value('float64')), 'RightForeArm': List(Value('float64')), 'RightHand': List(Value('float64')), 'RightHandThumb1': List(Value('float64')), 'RightHandThumb2': List(Value('float64')), 'RightHandThumb3': List(Value('float64')), 'RightHandIndex1': List(Value('float64')), 'RightHandIndex2': List(Value('float64')), 'RightHandIndex3': List(Value('float64')), 'RightHandMiddle1': List(Value('float64')), 'RightHandMiddle2': List(Value('float64')), 'RightHandMiddle3': List(Value('float64')), 'RightHandRing1': List(Value('float64')), 'RightHandRing2': List(Value('float64')), 'RightHandRing3': List(Value('float64')), 'RightHandPinky1': List(Value('float64')), 'RightHandPinky2': List(Value('float64')), 'RightHandPinky3': List(Value('float64')), 'LeftPelvis': List(Value('float64')), 'LeftUpLeg': List(Value('float64')), 'LeftLeg': List(Value('float64')), 'LeftFoot': List(Value('float64')), 'LeftToeBase': List(Value('float64')), 'RightPelvis': List(Value('float64')), 'RightUpLeg': List(Value('float64')), 'RightLeg': List(Value('float64')), 'RightFoot': List(Value('float64')), 'RightToeBase': List(Value('float64'))}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
schema_version: int64
source_lesson_path: string
tier: string
license: string
subsample_stride: int64
frame_count: int64
frame_time_seconds: double
effective_fps: double
duration_seconds: double
subjects: list<item: string>
child 0, item: string
files: list<item: struct<path: string, size: int64, sha256: string>>
child 0, item: struct<path: string, size: int64, sha256: string>
child 0, path: string
child 1, size: int64
child 2, sha256: string
to
{'subject_1': {'Hips': List(Value('float64')), 'Spine': List(Value('float64')), 'Spine1': List(Value('float64')), 'Spine2': List(Value('float64')), 'Spine3': List(Value('float64')), 'Spine4': List(Value('float64')), 'Neck': List(Value('float64')), 'Head': List(Value('float64')), 'LeftShoulder': List(Value('float64')), 'LeftArm': List(Value('float64')), 'LeftForeArm': List(Value('float64')), 'LeftHand': List(Value('float64')), 'LeftHandThumb1': List(Value('float64')), 'LeftHandThumb2': List(Value('float64')), 'LeftHandThumb3': List(Value('float64')), 'LeftHandIndex1': List(Value('float64')), 'LeftHandIndex2': List(Value('float64')), 'LeftHandIndex3': List(Value('float64')), 'LeftHandMiddle1': List(Value('float64')), 'LeftHandMiddle2': List(Value('float64')), 'LeftHandMiddle3': List(Value('float64')), 'LeftHandRing1': List(Value('float64')), 'LeftHandRing2': List(Value('float64')), 'LeftHandRing3': List(Value('float64')), 'LeftHandPinky1': List(Value('float64')), 'LeftHandPinky2': List(Value('float64')), 'LeftHandPinky3': List(Value('float64')), 'RightShoulder': List(Value('float64')), 'RightArm': List(Value('float64')), 'RightForeArm': List(Value('float64')), 'RightHand': List(Value('float64')), 'RightHandThumb1': List(Value('float64')), 'RightHandThumb2': List(Value('float64')), 'RightHandThumb3': List(Value('float64')), 'RightHandIndex1': List(Value('float64')), 'RightHandIndex2': List(Value('float64')), 'RightHandIndex3': List(Value('float64')), 'RightHandMiddle1': List(Val
...
Middle2': List(Value('float64')), 'LeftHandMiddle3': List(Value('float64')), 'LeftHandRing1': List(Value('float64')), 'LeftHandRing2': List(Value('float64')), 'LeftHandRing3': List(Value('float64')), 'LeftHandPinky1': List(Value('float64')), 'LeftHandPinky2': List(Value('float64')), 'LeftHandPinky3': List(Value('float64')), 'RightShoulder': List(Value('float64')), 'RightArm': List(Value('float64')), 'RightForeArm': List(Value('float64')), 'RightHand': List(Value('float64')), 'RightHandThumb1': List(Value('float64')), 'RightHandThumb2': List(Value('float64')), 'RightHandThumb3': List(Value('float64')), 'RightHandIndex1': List(Value('float64')), 'RightHandIndex2': List(Value('float64')), 'RightHandIndex3': List(Value('float64')), 'RightHandMiddle1': List(Value('float64')), 'RightHandMiddle2': List(Value('float64')), 'RightHandMiddle3': List(Value('float64')), 'RightHandRing1': List(Value('float64')), 'RightHandRing2': List(Value('float64')), 'RightHandRing3': List(Value('float64')), 'RightHandPinky1': List(Value('float64')), 'RightHandPinky2': List(Value('float64')), 'RightHandPinky3': List(Value('float64')), 'LeftPelvis': List(Value('float64')), 'LeftUpLeg': List(Value('float64')), 'LeftLeg': List(Value('float64')), 'LeftFoot': List(Value('float64')), 'LeftToeBase': List(Value('float64')), 'RightPelvis': List(Value('float64')), 'RightUpLeg': List(Value('float64')), 'RightLeg': List(Value('float64')), 'RightFoot': List(Value('float64')), 'RightToeBase': List(Value('float64'))}}
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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, 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.
subject_1 dict | subject_2 dict |
|---|---|
{
"Hips": [
0.1644057893,
0.215596,
-0.466616834
],
"Spine": [
0.1733670299,
0.2935350503,
-0.4822757166
],
"Spine1": [
0.1567951324,
0.3635847368,
-0.4473699344
],
"Spine2": [
0.1557583224,
0.44272398,
-0.4357120954
],
"Spine3": [
0.1562580962,
... | {
"Hips": [
-0.2677092107,
0.157336,
0.065636166
],
"Spine": [
-0.2024183577,
0.1130793274,
0.0789947377
],
"Spine1": [
-0.128323205,
0.1232641261,
0.1073880156
],
"Spine2": [
-0.0534665574,
0.104965669,
0.128874029
],
"Spine3": [
0.0218570836,
0... |
{
"Hips": [
0.1603217893,
0.219668,
-0.455337834
],
"Spine": [
0.1678489667,
0.2982998994,
-0.4680014035
],
"Spine1": [
0.150700309,
0.3666377586,
-0.4301086529
],
"Spine2": [
0.1484385431,
0.4452352049,
-0.4153666772
],
"Spine3": [
0.1476437815,
... | {
"Hips": [
-0.2674592107,
0.157807,
0.066526166
],
"Spine": [
-0.2020073002,
0.1138441828,
0.0800656683
],
"Spine1": [
-0.1279246897,
0.1244312003,
0.1083443154
],
"Spine2": [
-0.0529875133,
0.106502398,
0.1298612305
],
"Spine3": [
0.022406156,
... |
{
"Hips": [
0.1571087893,
0.227367,
-0.445419834
],
"Spine": [
0.1618328932,
0.3068628178,
-0.4530420252
],
"Spine1": [
0.1435852047,
0.3719855448,
-0.4103096921
],
"Spine2": [
0.1389556865,
0.4493655473,
-0.390538431
],
"Spine3": [
0.1356175443,
... | {
"Hips": [
-0.2667972107,
0.15767,
0.066563166
],
"Spine": [
-0.2011523007,
0.1139984515,
0.0801109199
],
"Spine1": [
-0.1271431135,
0.1249008339,
0.1084619034
],
"Spine2": [
-0.05215127,
0.1072916429,
0.1300521744
],
"Spine3": [
0.0232729124,
0... |
{
"Hips": [
0.1537437893,
0.239037,
-0.438537834
],
"Spine": [
0.1556140314,
0.3189982896,
-0.4401792867
],
"Spine1": [
0.1365638545,
0.3800288866,
-0.3920923136
],
"Spine2": [
0.1295984746,
0.4555114998,
-0.3665216547
],
"Spine3": [
0.1236424581,
... | {
"Hips": [
-0.2652802107,
0.157573,
0.066547166
],
"Spine": [
-0.1994166453,
0.1142272247,
0.0800798864
],
"Spine1": [
-0.1254674998,
0.1254887567,
0.1084471523
],
"Spine2": [
-0.0503982022,
0.1082417125,
0.1300605746
],
"Spine3": [
0.0250762379,
... |
{
"Hips": [
0.1504607893,
0.253075,
-0.429582834
],
"Spine": [
0.1502409354,
0.3329538358,
-0.4251870107
],
"Spine1": [
0.1301633156,
0.3896571111,
-0.3724458716
],
"Spine2": [
0.1211966219,
0.4627989036,
-0.34130303
],
"Spine3": [
0.1129814927,
... | {
"Hips": [
-0.2646182107,
0.156958,
0.067963166
],
"Spine": [
-0.1986800912,
0.1138784606,
0.0819745072
],
"Spine1": [
-0.1247768606,
0.1255653849,
0.1102893143
],
"Spine2": [
-0.0496816604,
0.1086879735,
0.1321036193
],
"Spine3": [
0.0258145904,
... |
{
"Hips": [
0.1499307893,
0.267364,
-0.415890834
],
"Spine": [
0.1480284065,
0.3467092983,
-0.4058556673
],
"Spine1": [
0.1263675437,
0.3991175086,
-0.3494270707
],
"Spine2": [
0.1153352194,
0.469697754,
-0.3134171167
],
"Spine3": [
0.1047918792,
... | {
"Hips": [
-0.2644572107,
0.15575,
0.070377166
],
"Spine": [
-0.1985748818,
0.1128472338,
0.0851714686
],
"Spine1": [
-0.1247220423,
0.1249157942,
0.1134576482
],
"Spine2": [
-0.0496583881,
0.1083396956,
0.1356089635
],
"Spine3": [
0.0258233118,
... |
{
"Hips": [
0.1480637893,
0.28399,
-0.402325834
],
"Spine": [
0.1446810791,
0.3623705574,
-0.386671905
],
"Spine1": [
0.1221343913,
0.4102185579,
-0.3266534435
],
"Spine2": [
0.1093620762,
0.4778791588,
-0.2859237117
],
"Spine3": [
0.0966866185,
... | {
"Hips": [
-0.2643252107,
0.155784,
0.070187166
],
"Spine": [
-0.1985231306,
0.1129487116,
0.0855241906
],
"Spine1": [
-0.1247364211,
0.1251902458,
0.1139084527
],
"Spine2": [
-0.0497180012,
0.1087538088,
0.1363155993
],
"Spine3": [
0.0257449913,
... |
{
"Hips": [
0.1440237893,
0.304314,
-0.391022834
],
"Spine": [
0.1393645292,
0.3811834504,
-0.3693576801
],
"Spine1": [
0.1168614816,
0.4238346573,
-0.3055259686
],
"Spine2": [
0.1027749695,
0.4879494599,
-0.2598000211
],
"Spine3": [
0.0882573473,
... | {
"Hips": [
-0.2651982107,
0.156094,
0.069431166
],
"Spine": [
-0.199423935,
0.113256363,
0.0848804867
],
"Spine1": [
-0.1256275869,
0.1255255135,
0.1132277432
],
"Spine2": [
-0.0506002105,
0.1091106226,
0.1356206918
],
"Spine3": [
0.0248879115,
... |
{
"Hips": [
0.1381807893,
0.321227,
-0.378426834
],
"Spine": [
0.1326328032,
0.3962460366,
-0.3511988339
],
"Spine1": [
0.1109911264,
0.4337672059,
-0.2839396361
],
"Spine2": [
0.0958483582,
0.4942002933,
-0.2337545932
],
"Spine3": [
0.079428936,
... | {
"Hips": [
-0.2663642107,
0.155819,
0.070844166
],
"Spine": [
-0.2005956947,
0.1129726348,
0.0862938031
],
"Spine1": [
-0.1267383173,
0.1252626757,
0.1144725664
],
"Spine2": [
-0.0516728809,
0.1088564488,
0.1367439827
],
"Spine3": [
0.0238622179,
... |
{
"Hips": [
0.1362477893,
0.335918,
-0.364522834
],
"Spine": [
0.1290838482,
0.4086106277,
-0.3318967736
],
"Spine1": [
0.107535431,
0.4405939317,
-0.2618058756
],
"Spine2": [
0.0904932929,
0.4968653744,
-0.2075556196
],
"Spine3": [
0.0712955686,
... | {
"Hips": [
-0.2672762107,
0.155773,
0.071866166
],
"Spine": [
-0.2014662216,
0.1129697412,
0.0872585786
],
"Spine1": [
-0.1275371066,
0.1253363808,
0.1152148333
],
"Spine2": [
-0.0524177943,
0.1089890359,
0.1373474617
],
"Spine3": [
0.023166386,
... |
{
"Hips": [
0.1365727893,
0.35559,
-0.349094834
],
"Spine": [
0.1273728565,
0.4253707468,
-0.311068414
],
"Spine1": [
0.1054212779,
0.4512992318,
-0.2386402298
],
"Spine2": [
0.086001261,
0.5027506174,
-0.1805401622
],
"Spine3": [
0.0635720618,
0... | {
"Hips": [
-0.2674642107,
0.155616,
0.070414166
],
"Spine": [
-0.2014852477,
0.1129598003,
0.0854881524
],
"Spine1": [
-0.1274583159,
0.1254866955,
0.1131122412
],
"Spine2": [
-0.0522337252,
0.1092854758,
0.1349933158
],
"Spine3": [
0.0234224805,
... |
{
"Hips": [
0.1346407893,
0.37213,
-0.332498134
],
"Spine": [
0.1237368166,
0.4390358226,
-0.2900162052
],
"Spine1": [
0.1018087115,
0.459604463,
-0.2158805913
],
"Spine2": [
0.080473914,
0.5065989177,
-0.1547549204
],
"Spine3": [
0.0553408653,
0... | {
"Hips": [
-0.2664962107,
0.156154,
0.068038166
],
"Spine": [
-0.2002154302,
0.1138217081,
0.0826954234
],
"Spine1": [
-0.1261640324,
0.1266650819,
0.1101077972
],
"Spine2": [
-0.0508207786,
0.1107827298,
0.1318136721
],
"Spine3": [
0.024898453,
... |
{
"Hips": [
0.1323707893,
0.384812,
-0.317200234
],
"Spine": [
0.119818171,
0.4490469913,
-0.2711969986
],
"Spine1": [
0.0975861768,
0.4650378535,
-0.1960303121
],
"Spine2": [
0.0745978263,
0.5080914386,
-0.1326432113
],
"Spine3": [
0.0473551901,
... | {
"Hips": [
-0.2645042107,
0.157374,
0.067955166
],
"Spine": [
-0.1977834386,
0.1156141326,
0.0822538388
],
"Spine1": [
-0.1238560697,
0.1290049847,
0.1097389113
],
"Spine2": [
-0.0483985606,
0.1137011452,
0.1314634784
],
"Spine3": [
0.0273705782,
... |
{
"Hips": [
0.1283287893,
0.394093,
-0.302340734
],
"Spine": [
0.114741827,
0.4560221889,
-0.2535537478
],
"Spine1": [
0.0918811783,
0.468306826,
-0.177880249
],
"Spine2": [
0.0675190096,
0.5080821368,
-0.1128847923
],
"Spine3": [
0.0385201637,
0... | {
"Hips": [
-0.2635762107,
0.15665,
0.070920166
],
"Spine": [
-0.1965422665,
0.115400107,
0.0852343774
],
"Spine1": [
-0.122705502,
0.1293655806,
0.112677004
],
"Spine2": [
-0.0471718461,
0.114612602,
0.1345177102
],
"Spine3": [
0.0286229537,
0.1... |
{
"Hips": [
0.1254417893,
0.399671,
-0.290173734
],
"Spine": [
0.1111863055,
0.4597675266,
-0.2393289833
],
"Spine1": [
0.0877648927,
0.4692420239,
-0.1634233095
],
"Spine2": [
0.0622003475,
0.506523989,
-0.0974194527
],
"Spine3": [
0.0315531611,
... | {
"Hips": [
-0.2653352107,
0.154806,
0.076122166
],
"Spine": [
-0.1982942408,
0.1137715219,
0.0910110868
],
"Spine1": [
-0.1245007506,
0.1281088227,
0.1183782681
],
"Spine2": [
-0.0490145507,
0.1136447723,
0.1405734224
],
"Spine3": [
0.0267049258,
... |
{
"Hips": [
0.1238897893,
0.401964,
-0.281644634
],
"Spine": [
0.109583283,
0.4606232985,
-0.2291621552
],
"Spine1": [
0.0866117198,
0.4679460028,
-0.1528818479
],
"Spine2": [
0.0604328403,
0.503239703,
-0.0860311112
],
"Spine3": [
0.0284945426,
... | {
"Hips": [
-0.2687732107,
0.153784,
0.078630166
],
"Spine": [
-0.2019576923,
0.1126297952,
0.0941870916
],
"Spine1": [
-0.1281831037,
0.1269572654,
0.1216103238
],
"Spine2": [
-0.0528699254,
0.1124007717,
0.1443266981
],
"Spine3": [
0.0226427043,
... |
{
"Hips": [
0.1244187893,
0.404278,
-0.274554734
],
"Spine": [
0.110137861,
0.4612138625,
-0.2202006849
],
"Spine1": [
0.0880249284,
0.4660125357,
-0.1434674395
],
"Spine2": [
0.0613882037,
0.4989088056,
-0.0755828291
],
"Spine3": [
0.0282352572,
... | {
"Hips": [
-0.2717402107,
0.153309,
0.078722166
],
"Spine": [
-0.2051109546,
0.1119884532,
0.0946330004
],
"Spine1": [
-0.1313633267,
0.1261729885,
0.1222026637
],
"Spine2": [
-0.0562727249,
0.111397813,
0.1455070776
],
"Spine3": [
0.0189226257,
... |
{
"Hips": [
0.1263607893,
0.40746,
-0.265974434
],
"Spine": [
0.1117282748,
0.4621995174,
-0.2094989991
],
"Spine1": [
0.0894937063,
0.4639214423,
-0.1326702353
],
"Spine2": [
0.0620978054,
0.4939821104,
-0.063780317
],
"Spine3": [
0.0277704647,
... | {
"Hips": [
-0.2736952107,
0.152232,
0.080021166
],
"Spine": [
-0.2071738838,
0.1109237047,
0.0964082892
],
"Spine1": [
-0.1335681066,
0.1251519525,
0.124332231
],
"Spine2": [
-0.058741388,
0.1103477718,
0.1484527289
],
"Spine3": [
0.016064267,
0... |
{
"Hips": [
0.1275657893,
0.410497,
-0.255275234
],
"Spine": [
0.1135451905,
0.4630675455,
-0.1966257621
],
"Spine1": [
0.0910817226,
0.4619279853,
-0.1198527589
],
"Spine2": [
0.0635894715,
0.4894787317,
-0.049959036
],
"Spine3": [
0.0288747975,
... | {
"Hips": [
-0.2753972107,
0.149807,
0.081473166
],
"Spine": [
-0.2090267421,
0.1084978611,
0.0984589229
],
"Spine1": [
-0.135632967,
0.1227455258,
0.1269257075
],
"Spine2": [
-0.0611227822,
0.1079042017,
0.1519849866
],
"Spine3": [
0.0132439571,
... |
{
"Hips": [
0.1230817893,
0.412558,
-0.242178094
],
"Spine": [
0.1113665196,
0.4632670116,
-0.1814216244
],
"Spine1": [
0.0902719194,
0.4598425138,
-0.1043288838
],
"Spine2": [
0.0646951449,
0.4854492931,
-0.0329837966
],
"Spine3": [
0.0317760291,
... | {
"Hips": [
-0.2778152107,
0.149008,
0.082155166
],
"Spine": [
-0.2114919595,
0.1078171438,
0.0996062324
],
"Spine1": [
-0.1383034924,
0.1222087069,
0.1285256237
],
"Spine2": [
-0.0640808991,
0.1074490608,
0.1544709409
],
"Spine3": [
0.0098443263,
... |
{
"Hips": [
0.1171477893,
0.416577,
-0.228037134
],
"Spine": [
0.1070281374,
0.4652209244,
-0.1653365657
],
"Spine1": [
0.0869981842,
0.4593488648,
-0.0881075563
],
"Spine2": [
0.0638371646,
0.4827866766,
-0.0152087487
],
"Spine3": [
0.0341156207,
... | {
"Hips": [
-0.2816172107,
0.148287,
0.083927166
],
"Spine": [
-0.2154119083,
0.107296955,
0.1022758485
],
"Spine1": [
-0.1425233172,
0.1219716869,
0.1318038951
],
"Spine2": [
-0.0686272278,
0.1074479608,
0.1587933255
],
"Spine3": [
0.0048628136,
... |
{
"Hips": [
0.1178927893,
0.424046,
-0.211797134
],
"Spine": [
0.1083602273,
0.4699802021,
-0.1469960588
],
"Spine1": [
0.0879814409,
0.4610198646,
-0.0701558518
],
"Spine2": [
0.0664563692,
0.4815425431,
0.0041104997
],
"Spine3": [
0.0396071636,
... | {
"Hips": [
-0.2844802107,
0.146727,
0.084495166
],
"Spine": [
-0.218342458,
0.106036536,
0.1037327282
],
"Spine1": [
-0.1457631425,
0.1211087374,
0.1338171378
],
"Spine2": [
-0.0721458205,
0.1069552851,
0.1617486559
],
"Spine3": [
0.0009801927,
... |
{
"Hips": [
0.1194027893,
0.429781,
-0.195006034
],
"Spine": [
0.1097655665,
0.4732543063,
-0.1285440481
],
"Spine1": [
0.0889602951,
0.4614967367,
-0.0521968135
],
"Spine2": [
0.0683722346,
0.4792156819,
0.0230505835
],
"Spine3": [
0.0434830218,
... | {
"Hips": [
-0.2867332107,
0.144252,
0.086204166
],
"Spine": [
-0.2205295196,
0.1041265274,
0.1063788466
],
"Spine1": [
-0.1483029165,
0.1199005909,
0.1369483857
],
"Spine2": [
-0.0749272867,
0.106425209,
0.1658349057
],
"Spine3": [
-0.0021425294,
... |
{
"Hips": [
0.1213257893,
0.434513,
-0.176964034
],
"Spine": [
0.1099873915,
0.4760664259,
-0.1095492468
],
"Spine1": [
0.0884002749,
0.461982061,
-0.033815324
],
"Spine2": [
0.0678446664,
0.4772809962,
0.0419699618
],
"Spine3": [
0.0442257112,
0... | {
"Hips": [
-0.2894792107,
0.140882,
0.085759166
],
"Spine": [
-0.2232993317,
0.1013258529,
0.1071024283
],
"Spine1": [
-0.1514496381,
0.1178257495,
0.1381729119
],
"Spine2": [
-0.0783596595,
0.1050386336,
0.1680785082
],
"Spine3": [
-0.0059384209,
... |
{
"Hips": [
0.1194007893,
0.435626,
-0.157345334
],
"Spine": [
0.1059434978,
0.4757448856,
-0.0894529462
],
"Spine1": [
0.0844913235,
0.4597577318,
-0.0140592121
],
"Spine2": [
0.0641346562,
0.4730880752,
0.0621504201
],
"Spine3": [
0.0419264618,
... | {
"Hips": [
-0.2925482107,
0.138237,
0.082377166
],
"Spine": [
-0.2264569367,
0.0989297976,
0.1044426897
],
"Spine1": [
-0.1548612362,
0.1157475083,
0.1359263406
],
"Spine2": [
-0.0820210245,
0.1032476165,
0.1665540449
],
"Spine3": [
-0.0099189544,
... |
{
"Hips": [
0.1214197893,
0.436288,
-0.135980834
],
"Spine": [
0.1042731215,
0.4753555421,
-0.0683072133
],
"Spine1": [
0.0813532882,
0.4579820679,
0.0063442678
],
"Spine2": [
0.0595644823,
0.4698505776,
0.0823994216
],
"Spine3": [
0.0372059696,
... | {
"Hips": [
-0.2929872107,
0.137674,
0.080526166
],
"Spine": [
-0.2268500378,
0.0985011886,
0.102692925
],
"Spine1": [
-0.1554530288,
0.1154307511,
0.1345654371
],
"Spine2": [
-0.0827748845,
0.1030334837,
0.1656169282
],
"Spine3": [
-0.010922359,
... |
{
"Hips": [
0.1380437893,
0.438613,
-0.117515834
],
"Spine": [
0.1151830765,
0.4774092229,
-0.0513929114
],
"Spine1": [
0.0881998096,
0.4596151743,
0.021786834
],
"Spine2": [
0.0627521826,
0.47094732,
0.0967801721
],
"Spine3": [
0.0382477982,
0.4... | {
"Hips": [
-0.2907562107,
0.137217,
0.081722166
],
"Spine": [
-0.2246347734,
0.0981174747,
0.1040645617
],
"Spine1": [
-0.1535784338,
0.1150487227,
0.1366886239
],
"Spine2": [
-0.0811699976,
0.102653629,
0.1683647983
],
"Spine3": [
-0.0096735923,
... |
{
"Hips": [
0.1612377893,
0.435048,
-0.103650834
],
"Spine": [
0.1331125162,
0.4746885169,
-0.0401087343
],
"Spine1": [
0.1010226388,
0.4577969677,
0.0311998579
],
"Spine2": [
0.0714926188,
0.4699662978,
0.1045475595
],
"Spine3": [
0.0443000538,
... | {
"Hips": [
-0.2868422107,
0.136872,
0.086360166
],
"Spine": [
-0.2208051367,
0.0979584787,
0.1092696121
],
"Spine1": [
-0.1503089443,
0.1150110843,
0.1430260262
],
"Spine2": [
-0.0783178833,
0.1027445181,
0.1756882137
],
"Spine3": [
-0.0073220288,
... |
{
"Hips": [
0.1899267893,
0.415441,
-0.093097834
],
"Spine": [
0.157927435,
0.4578583697,
-0.0332914123
],
"Spine1": [
0.1201352452,
0.4441040606,
0.0358647108
],
"Spine2": [
0.0864297895,
0.4592172281,
0.1068262104
],
"Spine3": [
0.055939254,
0.... | {
"Hips": [
-0.2824422107,
0.137366,
0.091303166
],
"Spine": [
-0.2164937227,
0.098785432,
0.1150168055
],
"Spine1": [
-0.1466684526,
0.1161339785,
0.1499947928
],
"Spine2": [
-0.0751584764,
0.1041708201,
0.1838061243
],
"Spine3": [
-0.0047317313,
... |
{
"Hips": [
0.2192507893,
0.38352,
-0.086865834
],
"Spine": [
0.1836584835,
0.4292299421,
-0.0316952896
],
"Spine1": [
0.141386039,
0.4193958452,
0.0355083633
],
"Spine2": [
0.1037346706,
0.4386139013,
0.103427733
],
"Spine3": [
0.0696135788,
0.4... | {
"Hips": [
-0.2785342107,
0.138024,
0.091679166
],
"Spine": [
-0.2127487627,
0.0997842832,
0.1163773216
],
"Spine1": [
-0.1436277202,
0.1174678885,
0.152565325
],
"Spine2": [
-0.0727161226,
0.1058317596,
0.1877241907
],
"Spine3": [
-0.0030376675,
... |
End of preview.
BJJ Kimura from Side Control — Research Trial (sampled across the action arc)
Tier: Research / Evaluation (free, CC BY-NC-SA 4.0)
Source: RTK Motion Intelligence Platform · api.rtkmotion.io
Full commercial dataset: rtk-training/bjj-kimura-lesson001 (gated)
A temporally-sampled trial subset of a full 4D motion-capture session of a Brazilian Jiu-Jitsu Kimura submission from side control, demonstrated by a Former IBJJF World Champion (anonymized) with a training partner. Multi-camera Captury volumetric capture, 12-camera synchronized rig.
What this dataset is
This is a research-tier preview of the full Lesson 001 capture. It preserves the complete technique arc — setup, application, resolution — by keeping every 4th frame from the source motion. Researchers can inspect the full skeletal trajectory of the technique without obtaining the full commercial release.
| Full Lesson 001 (commercial) | This research trial | |
|---|---|---|
| Frame count | 1215 | 304 |
| Frame rate | 60 fps | 15.0 fps (effective) |
| Duration covered | 20 s | 20 s (same arc, downsampled) |
| Joint hierarchy | 56-joint Captury rig + finger chains | identical |
| File set | mesh + rig + video + retargets + integrity | BVH + frames.json + manifest |
The 4× subsampling makes this dataset insufficient for animation production (frame-rate too low for smooth playback) but fully sufficient for:
- Validating BVH parser / pipeline compatibility
- Citing the source capture in academic papers
- Biomechanical analysis at coarse temporal resolution
- Inspecting the 56-joint skeletal hierarchy
- Reproducing methods that operate on sparse keypoint data
File contents
| File | Size | SHA-256 (12 char) |
|---|---|---|
frames.json |
2,602,219 bytes | af36347932c4… |
mocap/subject_1.bvh |
527,813 bytes | cbad13da7bb0… |
mocap/subject_2.bvh |
529,809 bytes | c163f70a8335… |
mocap/subject_*.bvh— Per-subject skeletal animation. HIERARCHY preserved (56 articulating joints, 3-segment finger chains). MOTION subsampled to 304 frames at 15.0 fps;Frames:andFrame Time:headers rewritten for correct playback.frames.json— Per-frame world-space joint positions for both subjects, subsampled to match the BVH cadence. Each entry containssubject_1andsubject_2dicts mapping joint name →[x, y, z].manifest.json— File-set manifest with SHA-256 hashes for integrity verification.
License — CC BY-NC-SA 4.0
This dataset is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.
You may:
- ✅ Use, reproduce, and adapt the data for research, academic, and non-commercial purposes
- ✅ Cite and reference in publications (please use the attribution below)
- ✅ Share adapted materials under a compatible ShareAlike license
You may NOT:
- ❌ Use the data for commercial purposes (game development, animation production, film, simulation, AI training for commercial sale, etc.)
- ❌ Train machine learning models intended for commercial deployment
- ❌ Redistribute under a more permissive license
For commercial use, see the channel ladder below.
Commercial use — choose your channel
| Tier | Channel | What's included | Price |
|---|---|---|---|
| Research (this dataset) | Hugging Face — free | Subsampled BVH + frames + manifest | $0 |
| Single-project commercial | Gumroad | Full Lesson 001 with rigged FBX + mesh | $299 |
| Studio commercial (multi-project) | Fab.com — rtkmotion publisher |
Full Lesson 001 with rigged FBX + mesh + studio-wide rights | $599 |
| Commercial AI / ML training | Protege.ai | Robot-retargeted G1 NPZ trajectories + AI-training rights | inquire |
| Per-file agent payments | api.rtkmotion.io/mcp (x402 / USDC) |
BVH, video, robotarget per-asset | $0.25–$15 |
For full commercial bundle access through Hugging Face, see the gated
sibling dataset:
rtk-training/bjj-kimura-lesson001.
Provenance
Every file in this pack is referenced in manifest.json with its
SHA-256 hash. The RTK Motion Intelligence Platform issues ECDSA-P256
signed provenance records on every paid transaction; verification:
- Public key: https://api.rtkmotion.io/.well-known/jwks.json
- Verify endpoint: https://api.rtkmotion.io/verify
Citation
@misc{rtk_bjj_kimura_lesson001_trial,
title = {BJJ Kimura from Side Control — Research Trial (sampled)},
author = {RTK Motion Intelligence Platform},
year = {2026},
url = {https://huggingface.co/datasets/rtk-training/bjj-kimura-lesson001-trial},
note = {Temporally-sampled subset of the full Lesson 001 commercial capture.
CC BY-NC-SA 4.0.}
}
Contact
- General questions: hello@rtkmotion.io
- Commercial licensing: hello@rtkmotion.io
- Programmatic access:
https://api.rtkmotion.io/mcp
- Downloads last month
- 32