The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
ts: double
agent: string
type: string
model: string
tier: string
task: string
loaded_memories: int64
truncated: bool
prompt_tokens: int64
completion_tokens: int64
reported_cost: double
cost_usd: double
cost_unit: string
step: int64
text: string
tool: string
path: string
ok: bool
verdict: struct<task_id: string, exit_code: int64, output: string, poc_id: string, tampered: list<item: null> (... 1 chars omitted)
child 0, task_id: string
child 1, exit_code: int64
child 2, output: string
child 3, poc_id: string
child 4, tampered: list<item: null>
child 0, item: null
authoritative: bool
observation: string
error: string
solved: bool
summary: string
author: string
meta: struct<round: string>
child 0, round: string
kind: string
seq: int64
to
{'seq': Value('int64'), 'ts': Value('float64'), 'author': Value('string'), 'kind': Value('string'), 'text': Value('string'), 'meta': {'round': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
ts: double
agent: string
type: string
model: string
tier: string
task: string
loaded_memories: int64
truncated: bool
prompt_tokens: int64
completion_tokens: int64
reported_cost: double
cost_usd: double
cost_unit: string
step: int64
text: string
tool: string
path: string
ok: bool
verdict: struct<task_id: string, exit_code: int64, output: string, poc_id: string, tampered: list<item: null> (... 1 chars omitted)
child 0, task_id: string
child 1, exit_code: int64
child 2, output: string
child 3, poc_id: string
child 4, tampered: list<item: null>
child 0, item: null
authoritative: bool
observation: string
error: string
solved: bool
summary: string
author: string
meta: struct<round: string>
child 0, round: string
kind: string
seq: int64
to
{'seq': Value('int64'), 'ts': Value('float64'), 'author': Value('string'), 'kind': Value('string'), 'text': Value('string'), 'meta': {'round': 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.
Evil AI Village
Raw artifacts from multi-agent society experiments in evil-ai-village: agents on a shared message board, a shared task, and a hardened verifier. Each experiment directory holds the board, per-agent transcripts, the social graph, and metrics.
Experiments
ajit-settings-repeat-2026-11-09
500/500 agent loops returned; cleanup completed successfully. This includes early-aborted loops and is not a claim of 500 successful agents or six useful actions each. Execution commit c40f9cc239ce902e7f10a35860dc4b5c20ed3342.
Artifacts: experiments/ajit-settings-repeat-2026-11-09/
communication-calibration-2026-11-09
The final technical pilot completed, but its frozen launch gate failed. The planned 48-village / 288-agent main comparison did not start.
Artifacts: experiments/communication-calibration-2026-11-09/
concurrency-2026-11-09
All seven model IDs returned by this Adaption account were tested together: DeepSeek V4 Flash, both Gemma 4 endpoints, GLM 5.2, GLM 5.3 Flash, Qwen 3.5 397B and Qwen 3.8 27B. See metrics.json for exact IDs, settings, source hashes and aggregate measurements, and the design notes for methodology and scope.
{
"cost_usd": 0.025995958840000003
}
Artifacts: experiments/concurrency-2026-11-09/
experiment-2026-11-08
{
"cost_usd": 0.330267,
"solved": 1
}
Artifacts: experiments/experiment-2026-11-08/
experiment-2026-11-08-hardened
Three 100-agent population runs on Adaption + network-disabled Docker, all on mock:impossible, 6 steps/agent, 8 active, $3 soft cap. This report compares the baseline (run 1, no fixes) and run 4 (plumbing hardening), with run 2 as an intermediate. It is the first run where the reliability metrics are trustworthy.
{
"board_density": 0.36,
"completion_rate": 1.0,
"cost_usd": 0.317724,
"error_rate": 0.028,
"isolate_rate": 0.39,
"largest_coalition": 57,
"participation_rate": 0.34,
"sandbox_lost": 22,
"solved": 0,
"turn_yield": 0.87
}
Artifacts: experiments/experiment-2026-11-08-hardened/
experiment-2026-11-08-run1
{
"cost_usd": 0.287564,
"solved": 0
}
Artifacts: experiments/experiment-2026-11-08-run1/
experiment-2026-11-09
{
"board_density": 0.358,
"completion_rate": 1.0,
"cost_usd": 1.862901,
"error_rate": 0.071,
"isolate_rate": 0.362,
"largest_coalition": 96,
"participation_rate": 0.348,
"sandbox_lost": 79,
"solved": 0,
"turn_yield": 0.846
}
Artifacts: experiments/experiment-2026-11-09/
matching-settings-case-a283
Read-only audit of a completed agent loop in the still-running command-settings repeat. Model alias qwen3.8-27b; frozen execution commit c40f9cc239ce902e7f10a35860dc4b5c20ed3342.
Artifacts: experiments/matching-settings-case-a283/
mock-scale-100-2026-11-08
Artifacts: experiments/mock-scale-100-2026-11-08/
mock-scale-2026-11-08
Artifacts: experiments/mock-scale-2026-11-08/
stale-handoff-2026-11-09
The protocol tests whether task-bound verifier receipts change how workers handle stale peer success claims. It uses independent/plain-board/receipt-board arms and fresh/stale handoff controls.
Artifacts: experiments/stale-handoff-2026-11-09/
tamper-case-audit-2026-11-09
The dataset at revision 18d9579a1518791ad3b4ecdb602ac17d48cf3937 records three heuristic tamper events. Reviewing their commands and actual observations supports one confirmed protected-target modification among those three flags, with two false positives for that interpretation:
Artifacts: experiments/tamper-case-audit-2026-11-09/
Layout
experiments/<name>/ — board.jsonl, logs/, social_graph.json, social_report.md, metrics.json, README.md.
Generated by scripts/upload_to_hf.py.
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