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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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 291, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 306, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/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 1379, 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 956, 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 1702, 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 1887, 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.
task string | instance_id int64 | rollout_id int64 | steps int64 | success bool | agent_distance dict | normalized_agent_distance dict | q_score dict | time dict |
|---|---|---|---|---|---|---|---|---|
assembling_gift_baskets | 301 | 0 | 39,091 | false | {
"base": 138.59500013815048,
"left": 208.56020705168254,
"right": 219.06090871106667
} | {
"base": 0.5751167063786381,
"left": 0.19299031473451583,
"right": 0.17618205012974206
} | {
"final": 0.5625
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
assembling_gift_baskets | 302 | 0 | 39,091 | false | {
"base": 145.51483890331357,
"left": 198.19922826149823,
"right": 207.58579034374392
} | {
"base": 0.5477675033057053,
"left": 0.20307899457052983,
"right": 0.18592120364351875
} | {
"final": 0.625
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
assembling_gift_baskets | 303 | 0 | 39,091 | false | {
"base": 146.92354869185215,
"left": 227.11449295199188,
"right": 241.1713131997872
} | {
"base": 0.5425154831181962,
"left": 0.17722382872548864,
"right": 0.1600298123683893
} | {
"final": 0.6875
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
assembling_gift_baskets | 304 | 0 | 39,091 | false | {
"base": 147.38945363969813,
"left": 206.45389455124916,
"right": 219.62069910271782
} | {
"base": 0.5408005663339485,
"left": 0.19495926723730805,
"right": 0.1757329803505866
} | {
"final": 0.8125
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
assembling_gift_baskets | 305 | 0 | 39,091 | false | {
"base": 115.62555355145159,
"left": 174.55703442946282,
"right": 182.0521238158028
} | {
"base": 0.6893657807616984,
"left": 0.23058423358048494,
"right": 0.21199752681297668
} | {
"final": 0.5625
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
assembling_gift_baskets | 306 | 0 | 39,091 | false | {
"base": 139.53664801894385,
"left": 193.6447163825632,
"right": 203.38779297760487
} | {
"base": 0.5712355938862641,
"left": 0.20785540009510087,
"right": 0.18975868430928727
} | {
"final": 0.5
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
assembling_gift_baskets | 307 | 0 | 39,091 | false | {
"base": 158.9574964975648,
"left": 238.84453159828837,
"right": 253.5152937592967
} | {
"base": 0.5014441077412233,
"left": 0.16852008178984176,
"right": 0.1522377582342
} | {
"final": 0.875
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
assembling_gift_baskets | 308 | 0 | 39,091 | false | {
"base": 137.24363769204578,
"left": 215.80461019589652,
"right": 221.61959520490177
} | {
"base": 0.5807795635587386,
"left": 0.18651177082576223,
"right": 0.1741479581907763
} | {
"final": 0.8125
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
assembling_gift_baskets | 309 | 0 | 39,091 | false | {
"base": 147.36895884290448,
"left": 199.80023957273855,
"right": 215.6237991368244
} | {
"base": 0.5408757761868235,
"left": 0.201451710398709,
"right": 0.1789904461126285
} | {
"final": 0.875
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
assembling_gift_baskets | 310 | 0 | 39,091 | false | {
"base": 155.52571435532946,
"left": 219.4526148528866,
"right": 224.3495034100493
} | {
"base": 0.5125088177887454,
"left": 0.18341134839966372,
"right": 0.17202890763461895
} | {
"final": 0.875
} | {
"simulator_steps": 39091,
"simulator_time": 1303.0333333333333,
"normalized_time": 0.666651019416234
} |
attach_a_camera_to_a_tripod | 301 | 0 | 5,868 | false | {
"base": 6.515086381005339,
"left": 14.030515704362188,
"right": 15.946447953394454
} | {
"base": 1.7349885080504102,
"left": 0.5644411201177589,
"right": 0.3655359498890287
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
attach_a_camera_to_a_tripod | 302 | 0 | 5,868 | false | {
"base": 2.8265502880396483,
"left": 8.924445106269559,
"right": 8.327719068061924
} | {
"base": 3.9990797431874463,
"left": 0.887382902320336,
"right": 0.699951565652005
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
attach_a_camera_to_a_tripod | 303 | 0 | 5,868 | false | {
"base": 6.342140393808322,
"left": 16.355238033105707,
"right": 16.615402305149473
} | {
"base": 1.7823005007955093,
"left": 0.4842118460134805,
"right": 0.35081907094079007
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
attach_a_camera_to_a_tripod | 304 | 0 | 5,868 | false | {
"base": 4.006038781222543,
"left": 14.453333787823794,
"right": 11.828818530451827
} | {
"base": 2.821640183061439,
"left": 0.5479289495598376,
"right": 0.4927795607814899
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
attach_a_camera_to_a_tripod | 305 | 0 | 5,868 | false | {
"base": 2.8522711404084617,
"left": 13.502630598454473,
"right": 12.902220739310735
} | {
"base": 3.963017344270173,
"left": 0.5865079357874505,
"right": 0.4517826905751263
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
attach_a_camera_to_a_tripod | 306 | 0 | 5,868 | false | {
"base": 13.13065831523572,
"left": 20.922913167825754,
"right": 23.35482000279808
} | {
"base": 0.860855543463822,
"left": 0.37850369766759207,
"right": 0.24958445405709154
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
attach_a_camera_to_a_tripod | 307 | 0 | 5,868 | false | {
"base": 6.732074545458715,
"left": 15.782210694122114,
"right": 15.024523611201403
} | {
"base": 1.6790663745137995,
"left": 0.5017928193639869,
"right": 0.3879657119813263
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
attach_a_camera_to_a_tripod | 308 | 0 | 5,868 | false | {
"base": 8.913807646970994,
"left": 18.155487462849123,
"right": 18.208541724761744
} | {
"base": 1.2681000586591165,
"left": 0.43619869839381425,
"right": 0.32012448268018956
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
attach_a_camera_to_a_tripod | 309 | 0 | 5,868 | false | {
"base": 8.735414783657951,
"left": 17.78916014917195,
"right": 18.978360733581212
} | {
"base": 1.2939969400361573,
"left": 0.4451812189890613,
"right": 0.3071392772973216
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
attach_a_camera_to_a_tripod | 310 | 0 | 5,868 | false | {
"base": 6.629175321906516,
"left": 14.521470721240576,
"right": 14.089037480813573
} | {
"base": 1.705129137654055,
"left": 0.5453579841893207,
"right": 0.4137259204497058
} | {
"final": 0
} | {
"simulator_steps": 5868,
"simulator_time": 195.6,
"normalized_time": 0.666594239945467
} |
boxing_books_up_for_storage | 301 | 0 | 36,342 | false | {
"base": 57.194433381134644,
"left": 103.05976596154869,
"right": 102.48005493871551
} | {
"base": 1.263584508625239,
"left": 0.25277274557094803,
"right": 0.23878304919560883
} | {
"final": 0.8333333333333334
} | {
"simulator_steps": 36342,
"simulator_time": 1211.4,
"normalized_time": 0.6666529084805459
} |
boxing_books_up_for_storage | 302 | 0 | 36,342 | false | {
"base": 40.3017307395447,
"left": 89.68546064754446,
"right": 91.8462910122862
} | {
"base": 1.7932232356732887,
"left": 0.2904673713209417,
"right": 0.26642883158696745
} | {
"final": 0.6666666666666666
} | {
"simulator_steps": 36342,
"simulator_time": 1211.4,
"normalized_time": 0.6666529084805459
} |
boxing_books_up_for_storage | 303 | 0 | 36,342 | false | {
"base": 41.35522761921157,
"left": 71.45198051743296,
"right": 85.94309716983116
} | {
"base": 1.747542068089766,
"left": 0.36459031382123985,
"right": 0.28472909175758615
} | {
"final": 0.6666666666666666
} | {
"simulator_steps": 36342,
"simulator_time": 1211.4,
"normalized_time": 0.6666529084805459
} |
boxing_books_up_for_storage | 304 | 0 | 36,342 | false | {
"base": 37.33665891378926,
"left": 88.86543452023943,
"right": 90.53575120245478
} | {
"base": 1.9356311491842961,
"left": 0.29314772544173917,
"right": 0.2702854913666029
} | {
"final": 0.6666666666666666
} | {
"simulator_steps": 36342,
"simulator_time": 1211.4,
"normalized_time": 0.6666529084805459
} |
boxing_books_up_for_storage | 305 | 0 | 36,342 | false | {
"base": 36.53984391787883,
"left": 81.51132824627423,
"right": 91.40174616733294
} | {
"base": 1.9778409607447316,
"left": 0.3195960679390688,
"right": 0.26772464450734723
} | {
"final": 0.6666666666666666
} | {
"simulator_steps": 36342,
"simulator_time": 1211.4,
"normalized_time": 0.6666529084805459
} |
boxing_books_up_for_storage | 306 | 0 | 28,770 | true | {
"base": 35.57660385425592,
"left": 71.1340038104228,
"right": 79.61779981723302
} | {
"base": 2.0313912001286925,
"left": 0.3662200720407497,
"right": 0.30734961348057044
} | {
"final": 1
} | {
"simulator_steps": 28770,
"simulator_time": 959,
"normalized_time": 0.8421098366353841
} |
boxing_books_up_for_storage | 307 | 0 | 36,342 | false | {
"base": 42.66502491132539,
"left": 76.6338912622038,
"right": 91.3332122083156
} | {
"base": 1.6938933037120059,
"left": 0.33993706401867557,
"right": 0.2679255378009363
} | {
"final": 0.16666666666666666
} | {
"simulator_steps": 36342,
"simulator_time": 1211.4,
"normalized_time": 0.6666529084805459
} |
boxing_books_up_for_storage | 308 | 0 | 36,342 | false | {
"base": 38.89843557623679,
"left": 83.83336939007768,
"right": 98.85090287448111
} | {
"base": 1.8579153359100649,
"left": 0.31074380273069757,
"right": 0.24754958516739245
} | {
"final": 0.6666666666666666
} | {
"simulator_steps": 36342,
"simulator_time": 1211.4,
"normalized_time": 0.6666529084805459
} |
boxing_books_up_for_storage | 309 | 0 | 26,103 | true | {
"base": 40.17158086673601,
"left": 78.28683798645488,
"right": 86.93702210484844
} | {
"base": 1.7990330089260445,
"left": 0.332759639679243,
"right": 0.28147386933138685
} | {
"final": 1
} | {
"simulator_steps": 26103,
"simulator_time": 870.1,
"normalized_time": 0.928150021070375
} |
boxing_books_up_for_storage | 310 | 0 | 33,982 | true | {
"base": 40.73613440925019,
"left": 91.61977166168708,
"right": 98.61084413088247
} | {
"base": 1.7741005877963036,
"left": 0.2843349151337571,
"right": 0.24815222114437258
} | {
"final": 1
} | {
"simulator_steps": 33982,
"simulator_time": 1132.7333333333333,
"normalized_time": 0.7129509740450827
} |
boxing_food_after_dinner | 301 | 0 | 5,534 | true | {
"base": 14.993009143724088,
"left": 26.80590372223014,
"right": 30.70416077614209
} | {
"base": 1.074554136902118,
"left": 0.4164231922814396,
"right": 0.576501671192203
} | {
"final": 1
} | {
"simulator_steps": 5534,
"simulator_time": 184.46666666666667,
"normalized_time": 1.2102846042645465
} |
boxing_food_after_dinner | 302 | 0 | 6,565 | true | {
"base": 17.188136320443725,
"left": 32.141568292108786,
"right": 34.89862653996897
} | {
"base": 0.9373209346052062,
"left": 0.34729481457009603,
"right": 0.5072119379749017
} | {
"final": 1
} | {
"simulator_steps": 6565,
"simulator_time": 218.83333333333334,
"normalized_time": 1.0202155369383092
} |
boxing_food_after_dinner | 303 | 0 | 10,047 | false | {
"base": 35.33558987501621,
"left": 52.7415324515714,
"right": 70.386550245139
} | {
"base": 0.45593691960385335,
"left": 0.2116472442329919,
"right": 0.25148270427165104
} | {
"final": 0.3333333333333333
} | {
"simulator_steps": 10047,
"simulator_time": 334.9,
"normalized_time": 0.6666382999900468
} |
boxing_food_after_dinner | 304 | 0 | 4,642 | true | {
"base": 13.839347535363594,
"left": 22.00681662095576,
"right": 28.02167788646355
} | {
"base": 1.1641300255544693,
"left": 0.5072337445376144,
"right": 0.6316895109464817
} | {
"final": 1
} | {
"simulator_steps": 4642,
"simulator_time": 154.73333333333332,
"normalized_time": 1.442851141749246
} |
boxing_food_after_dinner | 305 | 0 | 10,047 | false | {
"base": 31.563205269707105,
"left": 55.41638013783631,
"right": 58.73961283072276
} | {
"base": 0.5104297824740378,
"left": 0.2014314174299266,
"right": 0.3013468960207683
} | {
"final": 0.3333333333333333
} | {
"simulator_steps": 10047,
"simulator_time": 334.9,
"normalized_time": 0.6666382999900468
} |
boxing_food_after_dinner | 306 | 0 | 9,393 | true | {
"base": 30.35217966791639,
"left": 48.1406315506465,
"right": 60.14579714451247
} | {
"base": 0.5307954873840522,
"left": 0.23187481427733972,
"right": 0.294301527959963
} | {
"final": 1
} | {
"simulator_steps": 9393,
"simulator_time": 313.1,
"normalized_time": 0.7130538699031194
} |
boxing_food_after_dinner | 307 | 0 | 4,411 | true | {
"base": 12.858711582774355,
"left": 23.735430676046235,
"right": 24.610112890441087
} | {
"base": 1.2529093522544026,
"left": 0.47029270934044104,
"right": 0.7192571638659698
} | {
"final": 1
} | {
"simulator_steps": 4411,
"simulator_time": 147.03333333333333,
"normalized_time": 1.5184119247336205
} |
boxing_food_after_dinner | 308 | 0 | 10,047 | false | {
"base": 35.24838468190204,
"left": 49.837104701581666,
"right": 70.20563069499985
} | {
"base": 0.45706491646046815,
"left": 0.2239817113542259,
"right": 0.2521307739104278
} | {
"final": 0.6666666666666666
} | {
"simulator_steps": 10047,
"simulator_time": 334.9,
"normalized_time": 0.6666382999900468
} |
boxing_food_after_dinner | 309 | 0 | 10,047 | false | {
"base": 26.951778158392635,
"left": 45.90298400923791,
"right": 58.735920627067316
} | {
"base": 0.5977638991133943,
"left": 0.24317809050831077,
"right": 0.30136583901338965
} | {
"final": 0.3333333333333333
} | {
"simulator_steps": 10047,
"simulator_time": 334.9,
"normalized_time": 0.6666382999900468
} |
boxing_food_after_dinner | 310 | 0 | 5,044 | true | {
"base": 13.536879311796973,
"left": 24.09231980574259,
"right": 25.95912977050284
} | {
"base": 1.1901413633761169,
"left": 0.4633260761107491,
"right": 0.6818795605434166
} | {
"final": 1
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canning_food | 309 | 0 | 34,464 | false | {
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canning_food | 310 | 0 | 34,464 | false | {
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carrying_in_groceries | 301 | 0 | 11,498 | true | {
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carrying_in_groceries | 302 | 0 | 10,523 | true | {
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carrying_in_groceries | 303 | 0 | 21,413 | false | {
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carrying_in_groceries | 304 | 0 | 11,118 | true | {
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carrying_in_groceries | 305 | 0 | 21,413 | false | {
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carrying_in_groceries | 306 | 0 | 21,413 | false | {
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carrying_in_groceries | 307 | 0 | 21,413 | false | {
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carrying_in_groceries | 308 | 0 | 12,891 | true | {
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carrying_in_groceries | 309 | 0 | 11,181 | true | {
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} | {
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carrying_in_groceries | 310 | 0 | 10,346 | true | {
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} |
End of preview.
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Check out the documentation for more information.
BEHAVIOR 2026 self-evaluation: 100 tasks
100 tasks, instances 301–310, rollout 0: 1000 episodes. Filenames are {task}_{instance}_{rollout}.
Contents
metrics/: 1000 metrics JSON files.videos/: 1000 evaluation MP4 files, 31.39 GB total. H264, 30 fps, 672x448.robot/r1pro.yaml: sha256 prefixa98fa8a81472adfe.wrapper/default_wrapper.py:omnigibson.eval.wrappers.DefaultWrapper(224x224 RGB), sha256 prefix069fbfdc4387c45d.selection_index.json: per-episode Q and success.
Scores
- Episodes: 1000
- Tasks: 100
- Successes: 426
- Macro Q (mean of the 10 instance scores within each task, then the mean across 100 tasks): 0.629446
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