The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: string
action_type: string
description: string
priority: int64
conditions: list<item: struct<left: struct<path: string, action_arg: string, literal: null>, op: string, right: (... 59 chars omitted)
child 0, item: struct<left: struct<path: string, action_arg: string, literal: null>, op: string, right: struct<path (... 47 chars omitted)
child 0, left: struct<path: string, action_arg: string, literal: null>
child 0, path: string
child 1, action_arg: string
child 2, literal: null
child 1, op: string
child 2, right: struct<path: string, action_arg: string, literal: string>
child 0, path: string
child 1, action_arg: string
child 2, literal: string
effects: list<item: struct<op: string, path: string, value: string, delay_steps: null>>
child 0, item: struct<op: string, path: string, value: string, delay_steps: null>
child 0, op: string
child 1, path: string
child 2, value: string
child 3, delay_steps: null
outcome: string
renderer: string
observation_template: null
confidence: double
status: string
provenance: list<item: struct<source_id: string, episode_id: string, event_ids: list<item: string>, locator: str (... 22 chars omitted)
child 0, item: struct<source_id: string, episode_id: string, event_ids: list<item: string>, locator: string, excerp (... 10 chars omitted)
child 0, source_id: string
child 1, episode_id: string
child 2, event_ids: list<item: st
...
0, type: string
child 1, required: bool
child 2, description: string
child 3, enum: null
child 5, program: struct<type: string, required: bool, description: string, enum: null>
child 0, type: string
child 1, required: bool
child 2, description: string
child 3, enum: null
child 6, command: struct<type: string, required: bool, description: string, enum: null>
child 0, type: string
child 1, required: bool
child 2, description: string
child 3, enum: null
child 7, argv: struct<type: string, required: bool, description: string, enum: null>
child 0, type: string
child 1, required: bool
child 2, description: string
child 3, enum: null
child 3, aliases: list<item: null>
child 0, item: null
child 4, provenance: list<item: struct<source_id: string, episode_id: string, event_ids: list<item: string>, locator: str (... 22 chars omitted)
child 0, item: struct<source_id: string, episode_id: string, event_ids: list<item: string>, locator: string, excerp (... 10 chars omitted)
child 0, source_id: string
child 1, episode_id: string
child 2, event_ids: list<item: string>
child 0, item: string
child 3, locator: string
child 4, excerpt: string
to
{'actions': List({'name': Value('string'), 'description': Value('string'), 'arguments': {'commands': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'programs': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'keystrokes': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'duration': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'keys': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'program': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'command': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'argv': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}}, 'aliases': List(Value('null')), 'provenance': List({'source_id': Value('string'), 'episode_id': Value('string'), 'event_ids': List(Value('string')), 'locator': Value('string'), 'excerpt': Value('string')})})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
action_type: string
description: string
priority: int64
conditions: list<item: struct<left: struct<path: string, action_arg: string, literal: null>, op: string, right: (... 59 chars omitted)
child 0, item: struct<left: struct<path: string, action_arg: string, literal: null>, op: string, right: struct<path (... 47 chars omitted)
child 0, left: struct<path: string, action_arg: string, literal: null>
child 0, path: string
child 1, action_arg: string
child 2, literal: null
child 1, op: string
child 2, right: struct<path: string, action_arg: string, literal: string>
child 0, path: string
child 1, action_arg: string
child 2, literal: string
effects: list<item: struct<op: string, path: string, value: string, delay_steps: null>>
child 0, item: struct<op: string, path: string, value: string, delay_steps: null>
child 0, op: string
child 1, path: string
child 2, value: string
child 3, delay_steps: null
outcome: string
renderer: string
observation_template: null
confidence: double
status: string
provenance: list<item: struct<source_id: string, episode_id: string, event_ids: list<item: string>, locator: str (... 22 chars omitted)
child 0, item: struct<source_id: string, episode_id: string, event_ids: list<item: string>, locator: string, excerp (... 10 chars omitted)
child 0, source_id: string
child 1, episode_id: string
child 2, event_ids: list<item: st
...
0, type: string
child 1, required: bool
child 2, description: string
child 3, enum: null
child 5, program: struct<type: string, required: bool, description: string, enum: null>
child 0, type: string
child 1, required: bool
child 2, description: string
child 3, enum: null
child 6, command: struct<type: string, required: bool, description: string, enum: null>
child 0, type: string
child 1, required: bool
child 2, description: string
child 3, enum: null
child 7, argv: struct<type: string, required: bool, description: string, enum: null>
child 0, type: string
child 1, required: bool
child 2, description: string
child 3, enum: null
child 3, aliases: list<item: null>
child 0, item: null
child 4, provenance: list<item: struct<source_id: string, episode_id: string, event_ids: list<item: string>, locator: str (... 22 chars omitted)
child 0, item: struct<source_id: string, episode_id: string, event_ids: list<item: string>, locator: string, excerp (... 10 chars omitted)
child 0, source_id: string
child 1, episode_id: string
child 2, event_ids: list<item: string>
child 0, item: string
child 3, locator: string
child 4, excerpt: string
to
{'actions': List({'name': Value('string'), 'description': Value('string'), 'arguments': {'commands': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'programs': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'keystrokes': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'duration': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'keys': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'program': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'command': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}, 'argv': {'type': Value('string'), 'required': Value('bool'), 'description': Value('string'), 'enum': Value('null')}}, 'aliases': List(Value('null')), 'provenance': List({'source_id': Value('string'), 'episode_id': Value('string'), 'event_ids': List(Value('string')), 'locator': Value('string'), 'excerpt': Value('string')})})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Trace2Env terminal worldbook
The frozen terminal worldbook of the paper From Traces to Agentic Worlds: Agentic Language World Models for Interactive Environment Simulation (arXiv:2610.06100), the one that produced the paper's Terminal results and that the live demo runs on. It is also the quickest way to see what a worldbook looks like and to try the world model agent without building one.
What it is
A Trace2Env worldbook is reusable, inspectable environment knowledge reconstructed from interaction traces: action and state schemas, grounded evidence (observed transitions and demonstrations), induced rules, invariants, observation contracts and notes, each tied to the traces that support it. A world model agent operates it to simulate the environment for a task agent: it inspects the worldbook, keeps the episode's state and memory, and answers each action with the next observation and the state changes that persist. Code: https://github.com/ruyue0001/trace2env.
- Environment: a Linux shell as seen by a Terminus-2 agent through tmux on Terminal-Bench 2.0 tasks.
- Construction data: 20 trajectories collected by the authors with a GPT-5.6-Sol task agent on Terminal-Bench 2.0 (334 transitions), chosen from tasks that do not overlap the AgentWorldBench terminal records. The worldbook embeds those runs' observations verbatim as evidence.
- Reconstruction model: GPT-5.6-Sol, Trace2Env's default pipeline. Validation status
candidate(no replay validation was run), so the runtime needs--allow-unvalidated. - Integrity:
worldbook/manifest.jsonlists the SHA-256 of every file; Trace2Env re-verifies them on load. Artifact digest1a3a0bf8…, config digestcc3e9094….
Contents
worldbook/ the package: action_schema.json, state_schema.json, rules/, invariants.json, renderer/,
knowledge/notes.jsonl, evidence/, demonstrations/, candidates/, construction/, index.sqlite,
manifest.json, overview.md
environment_prompt.txt the terminal environment's system prompt (the one the demo passes as --environment-prompt)
Use it
pip install huggingface_hub
hf download Quanyu001/trace2env-worldbook-terminal --repo-type dataset --local-dir work/worldbooks/terminal
git clone https://github.com/ruyue0001/trace2env.git && cd trace2env && python -m pip install -e .
python -m trace2env inspect ../work/worldbooks/terminal/worldbook --action cat # what it knows about one action
MODEL=(--provider chat --base-url https://YOUR-ENDPOINT/v1 --api-key-env YOUR_KEY_VAR --model YOUR_MODEL)
python -m trace2env simulate ../work/worldbooks/terminal/worldbook --session work/session-1 --allow-unvalidated --agent "${MODEL[@]}" \
--initial-state '{"session": {"cwd": "/app"}}' --action '{"type": "shell", "arguments": {"commands": ["ls"]}}'
Each simulate call is one task-agent action; the session keeps state and memory between calls. Any chat model served
through an API endpoint can play the world model.
Citation
@article{long2026agenticworlds,
title={From Traces to Agentic Worlds: Agentic Language World Models for Interactive Environment Simulation},
author={Long, Quanyu and Chen, Xiao and Chen, Jianda and Zhang, Haozhen and Hu, Qisheng and Bao, Jianzhu and Wang, Wenya},
journal={arXiv preprint arXiv:2610.06100},
year={2026}
}
- Downloads last month
- 171