Datasets:

yilin-wu
/

world_model_data_ours_v3

Modalities:

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Split (1)

train

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    ValueError
Message:      Expected object or value
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 236, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to number in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 250, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 90, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              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 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1925, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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texts list	episode_id int64	episode_id_orig string	video_length int64	state_length int64	raw_length int64	video_path string	num_cameras int64	states list	observation.state.cartesian_position list	observation.state.joint_position list	observation.state.gripper_position list	action.cartesian_position list	action.joint_position list	action.gripper_position list	action.joint_velocity list	text_features list	latent_path string	reward list	reward_progress list	reward_binary list
[ "pick up the cup of beans and place them in the bowl" ]	0	pour_our_000	104	104	310	videos/train/0.mp4	3	[[0.5454442476239691,0.03309106403546333,0.3610838476036722,3.1258458661932558,-0.018991600826306687(...TRUNCATED)	[[0.5454442476239691,0.03309106403546333,0.3610838476036722,3.1258458661932558,-0.018991600826306687(...TRUNCATED)	[[0.09310140532746716,0.07244271598497383,-0.031808884467526236,-2.174079769220696,-0.01891357467903(...TRUNCATED)	[[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.0572(...TRUNCATED)	[[0.5294476110627401,0.03902405834468562,0.3620744370695974,3.1138305845983005,-0.04819111178470381,(...TRUNCATED)	[[0.09105479013948502,0.024399972934787885,-0.015702063480187843,-2.23888261261814,-0.04703411730930(...TRUNCATED)	[[0.018318851429253817],[0.012772551073461771],[0.009533444921761752],[0.012494818906188011],[0.0064(...TRUNCATED)	[[-0.010253786434411993,-0.24016907272106414,0.08051070034360897,-0.3240340805414915,-0.140600301807(...TRUNCATED)	[0.6390042901039124,-1.2368158102035522,0.8736183047294617,-0.012542808428406715,1.3352251052856445,(...TRUNCATED)	latents/train/0.npy	[0.00102996826171875,0.000827789306640625,0.00099945068359375,0.0017547607421875,0.0023956298828125,(...TRUNCATED)	[0.3991045355796814,0.3727891147136688,0.43260952830314636,0.49684083461761475,0.504136860370636,0.4(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED)
[ "pick up the cup of beans and place them in the bowl" ]	1	pour_our_001	63	63	187	videos/train/1.mp4	3	[[0.5454630915208133,0.03333894344746085,0.36097120433835367,3.1251997042884474,-0.01833697103269394(...TRUNCATED)	[[0.5454630915208133,0.03333894344746085,0.36097120433835367,3.1251997042884474,-0.01833697103269394(...TRUNCATED)	[[0.09359022329874135,0.07280884432408463,-0.03180842529109064,-2.1737468492657834,-0.01967726862218(...TRUNCATED)	[[0.057268722466960464],[0.057268722466960464],[0.07929515418502209],[0.12334801762114544],[0.167400(...TRUNCATED)	[[0.5306328265095375,0.020081000978685086,0.34685243934408744,3.138181133823939,-0.0422559147353343,(...TRUNCATED)	[[0.059532288715768836,0.047636560915079215,-0.021655183984237318,-2.253381482070994,-0.003597710068(...TRUNCATED)	[[0.5848230172786116],[0.44909777129352096],[0.1538541156207025],[0.1401897287465036],[0.09169255544(...TRUNCATED)	[[-0.17028967291486258,-0.12586141704502707,0.05076620653426661,-0.39817316402605174,0.0803977927707(...TRUNCATED)	[0.6390042901039124,-1.2368158102035522,0.8736183047294617,-0.012542808428406715,1.3352251052856445,(...TRUNCATED)	latents/train/1.npy	[0.0007781982421875,0.000827789306640625,0.00096893310546875,0.00124359130859375,0.00124359130859375(...TRUNCATED)	[0.3859550356864929,0.39489543437957764,0.4103599488735199,0.429019957780838,0.4261513650417328,0.42(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED)
[ "pick up the cup of beans and place them in the bowl" ]	10	pour_our_010	72	72	216	videos/train/10.mp4	3	[[0.5454936073345953,0.03312306947288322,0.36096121646918333,3.125786400562755,-0.0183373674902525,0(...TRUNCATED)	[[0.5454936073345953,0.03312306947288322,0.36096121646918333,3.125786400562755,-0.0183373674902525,0(...TRUNCATED)	[[0.09314102356364193,0.07286352345729699,-0.031793724408557385,-2.1737142757347185,-0.0189150854533(...TRUNCATED)	[[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.0572(...TRUNCATED)	[[0.5456734820619251,0.03346146836599673,0.360055026050763,3.1245212746391235,-0.013627915030189452,(...TRUNCATED)	[[0.07476423062069133,0.07581179237397052,-0.012533471501549397,-2.170985579741367,-0.02187806976511(...TRUNCATED)	[[0.03640752573242784],[0.1503031902295947],[0.01895548113486171],[0.01887809990555048],[0.015140053(...TRUNCATED)	[[-0.09189252785873409,0.014718436273813196,0.09630748369860664,0.013634287880599505,-0.014840017709(...TRUNCATED)	[0.6390042901039124,-1.2368158102035522,0.8736183047294617,-0.012542808428406715,1.3352251052856445,(...TRUNCATED)	latents/train/10.npy	[0.003936767578125,0.004058837890625,0.0038299560546875,0.0032806396484375,0.0037078857421875,0.0025(...TRUNCATED)	[0.49720633029937744,0.5024998784065247,0.5061847567558289,0.5012890696525574,0.5563256740570068,0.5(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED)
[ "put the marker in the cup" ]	100	marker_our_000	78	78	232	videos/train/100.mp4	3	[[0.5454656683733801,0.03305798425558851,0.36090452479316826,3.125240661083085,-0.018699595494371835(...TRUNCATED)	[[0.5454656683733801,0.03305798425558851,0.36090452479316826,3.125240661083085,-0.018699595494371835(...TRUNCATED)	[[0.09307848374500194,0.0728000236471083,-0.03181380883304764,-2.1740415376789004,-0.019661139052749(...TRUNCATED)	[[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.0572(...TRUNCATED)	[[0.5289412109533403,0.016211834268020215,0.36981276863460755,3.1110483138023914,0.00914845228836935(...TRUNCATED)	[[0.06128555164477917,0.018114042165185126,-0.028445993312446845,-2.2108713159100253,-0.036563995860(...TRUNCATED)	[[0.004680715176165104],[-0.001965191219866276],[0.0069995299730300905],[0.007372491408258677],[0.01(...TRUNCATED)	[[-0.15898451516759393,-0.2734237250501812,0.016830164225161204,-0.18413959442377092,-0.084489455615(...TRUNCATED)	[-0.33587533235549927,-0.8606765866279602,-0.7183868885040283,-0.7711513042449951,0.1146015748381614(...TRUNCATED)	latents/train/100.npy	[0.00124359130859375,0.00124359130859375,0.000827789306640625,0.000827789306640625,0.001029968261718(...TRUNCATED)	[0.36965224146842957,0.3762895166873932,0.396976113319397,0.4295547902584076,0.4327360689640045,0.45(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED)
[ "put the marker in the cup" ]	101	marker_our_001	131	131	392	videos/train/101.mp4	3	[[0.5454974807860554,0.03312229746074445,0.3609952710273422,3.125187852641667,-0.018493086867984454,(...TRUNCATED)	[[0.5454974807860554,0.03312229746074445,0.3609952710273422,3.125187852641667,-0.018493086867984454,(...TRUNCATED)	[[0.09315433240396653,0.07280639377607187,-0.03177164268691173,-2.1737235338307257,-0.01969792056756(...TRUNCATED)	[[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.0572(...TRUNCATED)	[[0.5184575862805191,0.026330819484125675,0.367084738818214,-3.1286804584965457,0.04657905759527137,(...TRUNCATED)	[[0.06832625507896437,0.00037813427971161717,-0.018481022221111455,-2.232077308785731,0.012695806798(...TRUNCATED)	[[0.02790640659838915],[0.03244251988551021],[0.010522536145091058],[0.027617679562568664],[0.009304(...TRUNCATED)	[[-0.12415738005712623,-0.3621654204194248,0.06644944377243533,-0.2917451266213059,0.161970405152916(...TRUNCATED)	[-0.3358747363090515,-0.8606765866279602,-0.7183871865272522,-0.7711507678031921,0.11460146307945251(...TRUNCATED)	latents/train/101.npy	[0.00262451171875,0.00262451171875,0.00170135498046875,0.0025482177734375,0.0021209716796875,0.00231(...TRUNCATED)	[0.4794715940952301,0.48509299755096436,0.49128320813179016,0.5117172598838806,0.5092437863349915,0.(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED)
[ "put the marker in the cup" ]	102	marker_our_002	180	180	540	videos/train/102.mp4	3	[[0.545505273843861,0.03307327915183565,0.3609329086160373,3.1257033506417446,-0.01836428287370251,0(...TRUNCATED)	[[0.545505273843861,0.03307327915183565,0.3609329086160373,3.1257033506417446,-0.01836428287370251,0(...TRUNCATED)	[[0.09308202199886738,0.07292295216363802,-0.03182267544940736,-2.17372340573286,-0.0190201890004427(...TRUNCATED)	[[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.0572(...TRUNCATED)	[[0.5222789944332172,0.018070939084850114,0.3703146387902529,-3.0988185437876457,-0.0124440663273943(...TRUNCATED)	[[0.05571111318759978,-0.005437710493442854,-0.024025081865089566,-2.2446483350895643,0.054725616179(...TRUNCATED)	[[0.030940632760584355],[0.01726128809773922],[0.011164678183168174],[0.014414242868363857],[0.00333(...TRUNCATED)	[[-0.18688667438858741,-0.391782765319258,0.03901487709826246,-0.35464043005335333,0.368748670805513(...TRUNCATED)	[-0.3358747363090515,-0.8606765866279602,-0.7183871865272522,-0.7711507678031921,0.11460146307945251(...TRUNCATED)	latents/train/102.npy	[0.00445556640625,0.00445556640625,0.002716064453125,0.00506591796875,0.00347900390625,0.00280761718(...TRUNCATED)	[0.5202879905700684,0.5211581587791443,0.5301720499992371,0.5551501512527466,0.5409494638442993,0.53(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED)
[ "put the marker in the mug" ]	103	marker_our_003	156	156	466	videos/train/103.mp4	3	[[0.5454581897403292,0.03306793799238797,0.3608703548519072,3.1252342810406466,-0.018655263410954914(...TRUNCATED)	[[0.5454581897403292,0.03306793799238797,0.3608703548519072,3.1252342810406466,-0.018655263410954914(...TRUNCATED)	[[0.09313538335196236,0.0728358994571501,-0.031852069279637546,-2.1740809132380705,-0.01966131966812(...TRUNCATED)	[[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.0572(...TRUNCATED)	[[0.5180942819412425,0.027072434610110416,0.3614606056505889,-3.1303436747090005,-0.0400083803687645(...TRUNCATED)	[[0.07026511037749514,-0.007990859724635008,-0.018426916856039383,-2.280490579028129,0.0100833406178(...TRUNCATED)	[[0.01744668124705553],[0.017375646649181845],[-0.003348101352632046],[0.0035815262854099277],[0.015(...TRUNCATED)	[[-0.11434398602300877,-0.40413378621268276,0.06715323760747927,-0.5320695824628472,0.14872158509981(...TRUNCATED)	[0.46619144082069397,0.20617398619651794,-0.5459262132644653,-0.48038503527641296,1.880357027053833,(...TRUNCATED)	latents/train/103.npy	[0.00860595703125,0.00860595703125,0.005218505859375,0.003082275390625,0.0032806396484375,0.00735473(...TRUNCATED)	[0.5646606087684631,0.5677517652511597,0.5545380711555481,0.5614660382270813,0.5648248195648193,0.59(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED)
[ "put the marker in the blue cup" ]	104	marker_our_004	175	175	525	videos/train/104.mp4	3	[[0.545563145252118,0.032948858544235154,0.3609807495586421,3.1258323227365383,-0.018827874206210682(...TRUNCATED)	[[0.545563145252118,0.032948858544235154,0.3609807495586421,3.1258323227365383,-0.018827874206210682(...TRUNCATED)	[[0.09312715928170412,0.07291898834418895,-0.03211234196012427,-2.1737115407126693,-0.01888004293539(...TRUNCATED)	[[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.0572(...TRUNCATED)	[[0.5294782375224663,0.024228548067088473,0.35201590783755243,-3.133993952528117,0.01197899251946710(...TRUNCATED)	[[0.059040370116001814,0.04555320846302757,-0.013843724853869168,-2.226801536254857,0.00983119045604(...TRUNCATED)	[[0.010365956106573343],[-0.00444162892895937],[0.010051931934177876],[0.005454616858452559],[0.0124(...TRUNCATED)	[[-0.17041117745119327,-0.13681650947865842,0.09134795152425779,-0.2654228986561298,0.14354865574914(...TRUNCATED)	[-0.39697790145874023,-0.4566818177700043,-0.07423771917819977,-1.0755366086959839,0.067686259746551(...TRUNCATED)	latents/train/104.npy	[0.005218505859375,0.005218505859375,0.00445556640625,0.00421142578125,0.004058837890625,0.003936767(...TRUNCATED)	[0.5394835472106934,0.5410492420196533,0.5405617356300354,0.5496828556060791,0.546651303768158,0.552(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED)
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[ "put the marker in the cup" ]	106	marker_our_006	96	96	288	videos/train/106.mp4	3	[[0.5455040261442182,0.03308084599697309,0.3609473320785019,3.1251882625487344,-0.018355524114253674(...TRUNCATED)	[[0.5455040261442182,0.03308084599697309,0.3609473320785019,3.1251882625487344,-0.018355524114253674(...TRUNCATED)	[[0.09313515460957605,0.07290694888554419,-0.03183016533300108,-2.1736943647334033,-0.01967657533999(...TRUNCATED)	[[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.057268722466960464],[0.0572(...TRUNCATED)	[[0.5214091508055051,0.018276500266131143,0.36276501105471803,-3.081265625539647,0.07680041755089562(...TRUNCATED)	[[0.0578524765960523,0.020229218037745432,-0.02829791990291904,-2.2122932960600044,0.069209659153298(...TRUNCATED)	[[0.08666235838785769],[0.07573018144932389],[0.07355501505696774],[0.10390672213509679],[0.10833538(...TRUNCATED)	[[-0.17643909252801532,-0.26337206517872214,0.01767589070624126,-0.19297560152578352,0.4444462533751(...TRUNCATED)	[-0.3358747363090515,-0.8606765866279602,-0.7183871865272522,-0.7711507678031921,0.11460146307945251(...TRUNCATED)	latents/train/106.npy	[0.0032806396484375,0.0033721923828125,0.00154876708984375,0.0025482177734375,0.0021820068359375,0.0(...TRUNCATED)	[0.4735996425151825,0.4717254936695099,0.49254024028778076,0.5237669944763184,0.507331371307373,0.51(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED)

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