Datasets:

Joshyxwa
/

aomt-world-representation-v3

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<simplifications: string, simulator: string, task_name: string, variation: int64, expert_seed: int64, expert_seed_policy: string, relative_gamefile: string>
to
{'simplifications': Value('string'), 'simulator': Value('string'), 'task_name': Value('string'), 'variation': Value('int64')}
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 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<simplifications: string, simulator: string, task_name: string, variation: int64, expert_seed: int64, expert_seed_policy: string, relative_gamefile: string>
              to
              {'simplifications': Value('string'), 'simulator': Value('string'), 'task_name': Value('string'), 'variation': Value('int64')}
              
              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 dataset

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action_block_index int64	action_sha256 string	action_step int64	after_observation_block_index int64	after_observation_sha256 string	before_observation_block_index int64	category string	domain string	future_content_exposed_to_causal_models bool	goal_block_indices list	position_bucket string	schema_version string	source_reset dict	source_split string	split string	split_schema string	trajectory_id string	unit_id string
62	bd1988650fecdfecceedf0527c2bba30d74c2672722eea8b83ea72e35876a163	31	63	e834d35783a3dda97526b5543e2fd1a42d0de1ca32d2cbbb4ec076f5f9d4f0f6	61	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "test-conductivity", "variation": 358 }	train	train	aomt-gemma-world-data-split-v1	gold:test-conductivity:variation:358	826b87d7a1effafb4a68a56a7bdf94759f5ae92045e865fb63c0676f7db9b4ce
88	0a636b7844846f5cd766487b8323a38f6b66759d2bd70660f264357cc29d2c03	44	89	80b7db95c8f6690f317b3cafc47b69e054909c2d161849f9e10f6a1db9274497	87	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "mendelian-genetics-known-plant", "variation": 28 }	train	train	aomt-gemma-world-data-split-v1	gold:mendelian-genetics-known-plant:variation:28	70a71e17fb1881a9b15b70b02984d4cb1dd3e8b14b2af1b850ed9e5a05b44065
24	0a636b7844846f5cd766487b8323a38f6b66759d2bd70660f264357cc29d2c03	12	25	80b7db95c8f6690f317b3cafc47b69e054909c2d161849f9e10f6a1db9274497	23	goal_next_action	scienceworld	false	[ 0 ]	middle	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "identify-life-stages-1", "variation": 3 }	train	train	aomt-gemma-world-data-split-v1	gold:identify-life-stages-1:variation:3	9d3b91ee9eb632b18d7c2f629af72def420ef42f600dfc213a029b2f56789b63
1,162	99d40f20ff395f9c8682829e030f16118a8d83e382f278112dfe0e99d3e3d908	581	1,163	5287908152587f7d77279235d2cd3f17cd2930c93b834472aa30642bc40aca3e	1,161	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 590 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:590	1f4ca76e215b349b6124fbee418ac292c67daf25174aa32f2d1e3a70f26fff90
40	13e6aad6c5cb446cc19390f81855eb9fa031b98ee5ee695baf1b8f654e02e8e1	20	41	62b3060fd464efbf67bfd7d51c11ff96a26cae40fe22de31915bdb85180d4230	39	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 495 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:495	f792cf443a3531bf7a5bc40e884a17ca683dd59764b6a35ea5efc47358cd8e69
64	b03061634edb5c401ce8d5c45c30767e23b3423d649d083f8d9392efd9946266	32	65	31af472c98b74075b61ce6eeeced2415725d2f643f9fc40f50728d8876d548ce	63	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 127 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:127	5617544ccdd9e2ff3013983bd2b928dbcad126d1ed8faab9b3af1f180cf3e112
2	7affbe6170bd22f374127fb7f15becdb2df8c947c4cfd3cb5adda0cdb58ecf0c	1	3	5c14c5a4ddb0c28386b57d5274c0896d777ad018b4cf8034d0b11cf033b2e61f	1	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-determine-angle", "variation": 15 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-determine-angle:variation:15	17670f59a4cf383f2bc5c0a326069d31c3b0212024fbab76edd103d64455a1b2
32	00c9ce7af0c08f3211864444f464c8231388b882c0ee27b9fc1392e4b8a960e8	16	33	e18afcfe2740ec762484e86ca1121d280a713f7fd44b407d7433163671a8e514	31	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "test-conductivity", "variation": 227 }	train	train	aomt-gemma-world-data-split-v1	gold:test-conductivity:variation:227	0a13b6fdc7598626786938ee523076c2ef1ecc6c98f8ae34870694ebd83f0687
126	13e6aad6c5cb446cc19390f81855eb9fa031b98ee5ee695baf1b8f654e02e8e1	63	127	34caaa436c748214ae5d21af5228e703301ffaeb9598680f0541393d88e0767a	125	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 251 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:251	555f8e696c559cbd68b2a2c7ce71556bf8b24f1fd935267ab1751ff68ec8b4ab
78	0a636b7844846f5cd766487b8323a38f6b66759d2bd70660f264357cc29d2c03	39	79	80b7db95c8f6690f317b3cafc47b69e054909c2d161849f9e10f6a1db9274497	77	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "grow-plant", "variation": 47 }	train	train	aomt-gemma-world-data-split-v1	gold:grow-plant:variation:47	5ef75a239a30a9a2b9f8cdbb79dbb304b7eb9f55cbcecef3b3fc83db5ddfcbb6
126	9332f17d4646482f6fa8cdfaa0748edc84e4e6e053ab8a88b86461c28606b42d	63	127	b33749513547ae27305febfd9cd8768c016c732256ffc6bc150fd428b021346f	125	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 113 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:113	4d7560266bb08fe05edc47ccbf3cf0dbf92e5659690d196564bb516529512693
120	fc105a228a5ea348d6aa210b914614cdd6ef321568b1169033c3eeae450e6cca	60	121	05a94c18575aa20a27aff82ca9b1d2bc4eb055797c3bf25099cbaa7f442cad10	119	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 573 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:573	0c03b10d3a876924e775745b0bde62bca24c8313cf2f7ee629e268c6d0fece95
254	d7992ca4f5f092336dd14ac95864fb4179ed79f8ddaa4ce7747a57a72ca73722	127	255	1c9283fb692c5f377e3934f4611edd2b3fd0fc94382ad754248fd30ce9518c39	253	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-determine-angle", "variation": 74 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-determine-angle:variation:74	03c75e85fd5986f99f441788c687bf6d56c8f8f59962ae3be4bcb6990ff3b2a3
82	b03061634edb5c401ce8d5c45c30767e23b3423d649d083f8d9392efd9946266	41	83	1d9f6c0070dede6c7ee57af616ecad84f5b5f6f4547e1e5207e9c0df00182126	81	goal_next_action	scienceworld	false	[ 0 ]	middle	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 498 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:498	b4e411dfa795b2874c85bf2ec261cacb3a3299c978fda0aaf6f62147eb426cb9
550	99d40f20ff395f9c8682829e030f16118a8d83e382f278112dfe0e99d3e3d908	275	551	0a0526ebc837ab75ebfa08ce7260fefc62340b9202dee857092ee7ee7cd1ad52	549	goal_next_action	scienceworld	false	[ 0 ]	middle	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 356 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:356	283935b043bc2397705f7223ac8a997fb28f4a59401d49ebe234fa26a0888c60
394	13e6aad6c5cb446cc19390f81855eb9fa031b98ee5ee695baf1b8f654e02e8e1	197	395	bac45df71681ea1f9226c1822ff01b2164734e199a3bca9bfd06385e251afe6a	393	goal_next_action	scienceworld	false	[ 0 ]	middle	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 286 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:286	9c7fe16cb74667a2d801cb736deafa03b608b50b349aa816923166d1f530fc77
6	51088ac2772cc3bc5498b0891994e91f2caea27c363c07bef7199a401a61cc3f	3	7	d7d01970a271d0f3fdadad1587be6a688a6af4a0cdb682e308ebc44e0b712352	5	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "test-conductivity-of-unknown-substances", "variation": 14 }	train	train	aomt-gemma-world-data-split-v1	gold:test-conductivity-of-unknown-substances:variation:14	e31bd7af089a88ff803359da7f92f32d70c382290b3a67c132e0a25b6c1d54f7
200	9a630d3231cdd1b850bbb8662c4eed60a4bd74321c9959386f2ed77c3b6b3898	100	201	3e89db7c138472285fa693d8778224b89665a1bd940ec17eae88ce5b69cd3baa	199	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "mendelian-genetics-unknown-plant", "variation": 163 }	train	train	aomt-gemma-world-data-split-v1	gold:mendelian-genetics-unknown-plant:variation:163	b3d628b0c8f5cf9089ee3e100990a2cdb2f47c5bffc9c06295a11ac11e4a35f7
246	9d681f15ff42a38e26e0aa3f06e8d21803e29479a9a12d31e1166c43cc38e6a2	123	247	47f65712e8965094ffae11f85555c8e2b3f1d1afdb72069831a38a8ae5037730	245	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "mendelian-genetics-unknown-plant", "variation": 142 }	train	train	aomt-gemma-world-data-split-v1	gold:mendelian-genetics-unknown-plant:variation:142	0b57a6c03e08bc1e4350904cb492d75c632e67459ccf557105f2572c8e162760
518	7affbe6170bd22f374127fb7f15becdb2df8c947c4cfd3cb5adda0cdb58ecf0c	259	519	bd3058575b726011888d48ffd2dd365af9faa3e45b48a56ea7ca7c0a293dbc9f	517	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "mendelian-genetics-unknown-plant", "variation": 239 }	train	train	aomt-gemma-world-data-split-v1	gold:mendelian-genetics-unknown-plant:variation:239	3846fc17d6202d9096bbe1609934251d2e7d4d63eb3c1e948c02901eaa7c76d0
448	13e6aad6c5cb446cc19390f81855eb9fa031b98ee5ee695baf1b8f654e02e8e1	224	449	ca83f678ffa0d9f9d3d3468bc06279b7a4d4d325939641905bb63ea9a57d0336	447	goal_next_action	scienceworld	false	[ 0 ]	middle	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 317 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:317	3d2197c49e9e7d199b317a7fdef51822ba7b006174e0ebbd9da67a3d7c1ee062
12	51fd2a8c9b433c38a788591c421bba9e273a13dcc81175807bc7bfd0d020e923	6	13	632382364c7b86a986d047a1a13e961dc66e48f04efdf26cd5da288d54b3ce13	11	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "test-conductivity", "variation": 150 }	train	train	aomt-gemma-world-data-split-v1	gold:test-conductivity:variation:150	bac389b464630a6924ba8d7005689c9713168b385a58afd148615ef315ea2188
28	b03061634edb5c401ce8d5c45c30767e23b3423d649d083f8d9392efd9946266	14	29	82f58f0d3fe4a84741168759d79ea5934ee5777738e9818b582ac1a72914cce4	27	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 358 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:358	d490bc8e8892869f7aff2677bc8dec3c166498a633aff8991216f84055f6faa8
400	13e6aad6c5cb446cc19390f81855eb9fa031b98ee5ee695baf1b8f654e02e8e1	200	401	5f1b573c227a9a136ef6c8253cc8dbb3905657c25ba412f0b6566dadd6669a8e	399	goal_next_action	scienceworld	false	[ 0 ]	middle	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 268 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:268	bff82464f7c6f8715a62a91fbdb08868058e66c2df5b7557b461d2bb6a727567
110	26bc7bdf0c1c60ee3b21d3496caa82091692db79ad0aa5042959752de31a6987	55	111	2354d5d24b8db639c130a713caa919e27c8c9ae8f6f04cb6438cef02a8ce762e	109	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 406 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:406	77be1a8bc48635b9a129ebe0a4844d12a4d40531c9b0effd1d2156e1b4834ff1
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104	89bb527b74711ea8b400a09f62cf1f6deb4126ff6a69de562a584605ce164339	52	105	36c8cb8817662deed3807a27fbbdae334592fce654052900bbe36c15e1ab6111	103	goal_next_action	scienceworld	false	[ 0 ]	middle	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "mendelian-genetics-unknown-plant", "variation": 88 }	train	train	aomt-gemma-world-data-split-v1	gold:mendelian-genetics-unknown-plant:variation:88	eed4318e66bae2effa21dea8491e830f0291d94efd88505a678bfcce55bb820b
28	17cab67a36687a1f880812159f6f7bd4ad6168630ca93486f4e5a04d4261bc0d	14	29	0e41ff80faf2ec470518bf422dba86934dd4f22b1754271fcc82121f94447df1	27	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 36 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:36	d8bbf99a1725f982ad589680dabc9e8f36d247445170dac5d8f70f80523819ff
36	0a636b7844846f5cd766487b8323a38f6b66759d2bd70660f264357cc29d2c03	18	37	80b7db95c8f6690f317b3cafc47b69e054909c2d161849f9e10f6a1db9274497	35	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "mendelian-genetics-known-plant", "variation": 55 }	train	train	aomt-gemma-world-data-split-v1	gold:mendelian-genetics-known-plant:variation:55	342be1f52468f1736c9e1cc17c4cc334855a5d7751bae0856d294c8214364c68
60	8ae017938faf10bce30c58427922fc27fb5c9209b67f2e129bdb3ab2ee80539d	30	61	9ed401efb6b677ab740cb0f73253ed05101790ebf6e9c167315898b13ac35928	59	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 297 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:297	aff2b9e11000072e6209f70d0a9545574a5ce9f378aab685e5ee9c097b3c76a8
36	7dc3031b27b7b5716300eed800a43aa39525bed4c9e356f9c8f20c772262d192	18	37	307b5a8b8ebf175928605e2d00c06e38af0cffecfee0bab9a99ab07a6581e15d	35	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 146 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:146	62b65b18ab8d3ba9550238a95ff4e190e8264f663e2d15714e2ed82bc0fc59e1
248	9d681f15ff42a38e26e0aa3f06e8d21803e29479a9a12d31e1166c43cc38e6a2	124	249	47f65712e8965094ffae11f85555c8e2b3f1d1afdb72069831a38a8ae5037730	247	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "mendelian-genetics-unknown-plant", "variation": 219 }	train	train	aomt-gemma-world-data-split-v1	gold:mendelian-genetics-unknown-plant:variation:219	cfdcd029a85a3b67c4eba9f71e9e799bea678c361ef60932081e7b972b5170d6
26	2602be0c999e0a5547b2c69e8dd720cb8dd13aa1b358dbf47c8988eddbdcc7a0	13	27	836372cf79d92333a88d7ca15aad2311fb4ce3ba1d2481bf2df96f1eded68aed	25	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "use-thermometer", "variation": 59 }	train	train	aomt-gemma-world-data-split-v1	gold:use-thermometer:variation:59	e037b14d9554b58ef81f7b5de9b1106b6348e5ccdafd0781f176d317dd6208cb
216	99d40f20ff395f9c8682829e030f16118a8d83e382f278112dfe0e99d3e3d908	108	217	b94d3d0ca03e005b41950ab224a2b65054c667adeabf126403e48ab32bc1e108	215	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 651 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:651	e57c99475305a07e7b7189fba47b8fed6f439ec10061dcd793f5d7781788fa02
70	193e3bd73042bc81fec6073e6525221bad7fd8ee082ae9b5bc9ea58c3e87f279	35	71	4a6f10bc3c9c0ae6daf677185436f650baf28dc5dde20ad87230c9c14f503e15	69	goal_next_action	scienceworld	false	[ 0 ]	late	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "test-conductivity", "variation": 109 }	train	train	aomt-gemma-world-data-split-v1	gold:test-conductivity:variation:109	e3aa271fd833c53840a44fa8f3880aae8af27b466463ee4271550b4b1c7b18b0
36	e6ef7c163f0b4077d77c9786180a5ca6f626f2c96c5517f6b0e95b0bf9753730	18	37	d4151488c8e9c6804626aa3b8e5ac0e42f1833a35e4a35c3371e478b7bc2116a	35	goal_next_action	scienceworld	false	[ 0 ]	middle	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 0 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:0	a0fc9233db6b4e5fa61fbf51c1ef05145077289036f936be7dedc6dde874a302
66	3ea61b16dda088cbe354bef5e34ee1efabfde46fb1ef658c2b915b15bc4da8a6	33	67	6cb66ce50a8f79020ac05e9a32173dad8dec64a40a8fd719c98ab11aa0804cfb	65	goal_next_action	scienceworld	false	[ 0 ]	early	aomt-gemma-world-model-requests-v1	{ "simplifications": "", "simulator": "scienceworld==1.2.3", "task_name": "inclined-plane-friction-named-surfaces", "variation": 381 }	train	train	aomt-gemma-world-data-split-v1	gold:inclined-plane-friction-named-surfaces:variation:381	1fbb4b7d934cd47a5c7fa3a7c9fe235c41a7f6133df1752ebb575ccab8368b37

End of preview.

AOMT World Representation Dataset v3

This release contains trajectory-derived world-representation examples from ScienceWorld and ALFWorld. It combines offline reconstruction views with simulator-materialized alternative-action branches for studying causal, counterfactual, recovery, invariance, and output-format behavior.

Splits

The development pool was split deterministically by whole trajectory, stratified within domain and task family. Related views and simulator branches therefore never cross split boundaries.

Split	Canonical units	Offline views	Simulator units	Trajectories
Train	138,913	69,852	69,061	5,398
Validation	17,158	8,503	8,655	674
Test	17,857	8,997	8,860	679

The realized unit ratio is 79.87% / 9.87% / 10.27%. The small deviation from 80/10/10 is caused by keeping complete trajectories together. Auditing found zero trajectory and unit overlap between splits.

Configurations

canonical: one row per usable learning/evaluation unit.
offline: views derived directly from recorded trajectories.
simulator: counterfactual and recovery views executed in a simulator.
quarantine: 772 failed ScienceWorld materializations excluded from every learning and evaluation split.

The simulator configuration contains 207,824 materialized branches. Split and source hashes, category counts, domain counts, position counts, and task-family counts are recorded in split-report.json. File hashes are in checksums.sha256.

Evaluation boundary

Only official source-training trajectories were repartitioned. Pre-existing official validation and test goal-completion episodes were deliberately not mixed into this release's development split; their hashes are recorded in the split report as locked external evaluations.

Intended use and limitations

This dataset is intended for research on text-world representations, structured masking, counterfactual prediction, robustness, and grounded agent post-training. It is not a substitute for interactive simulator evaluation. The quarantine ledger is provenance, not training data. Users must also comply with the licenses and terms of the upstream ScienceWorld and ALFWorld assets.

Version

Dataset release: v3. Split seed: 0. Split schema: aomt-gemma-world-data-split-v1.

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