Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
task: string
language: string
label: string
rep: int64
passed: bool
capped: bool
wall_s: double
verify_s: double
exit_code: int64
gen_tokens: int64
requests: int64
side_requests: int64
sampler: struct<ok: int64, unechoed: int64>
child 0, ok: int64
child 1, unechoed: int64
thermal: string
metrics: struct<total_prompt_tokens: int64, total_completion_tokens: int64, total_cached_tokens: int64, total (... 183 chars omitted)
child 0, total_prompt_tokens: int64
child 1, total_completion_tokens: int64
child 2, total_cached_tokens: int64
child 3, total_steps: int64
child 4, extra: struct<total_think_tokens: int64, total_gen_s: double, total_prefill_s: double, tok_per_s: double, c (... 60 chars omitted)
child 0, total_think_tokens: int64
child 1, total_gen_s: double
child 2, total_prefill_s: double
child 3, tok_per_s: double
child 4, cache_hit_rate: double
child 5, compactions: int64
child 6, finishes: string
trajectory: string
test_tail: string
levers_fired: null
output_tail: string
think_tokens: int64
steps: int64
peak_ctx: int64
tool_dispatches: int64
gen_time_s: double
prefill_tokens: int64
to
{'task': Value('string'), 'language': Value('string'), 'label': Value('string'), 'rep': Value('int64'), 'passed': Value('bool'), 'capped': Value('bool'), 'wall_s': Value('float64'), 'verify_s': Value('float64'), 'steps': Value('int64'), 'tool_dispatches': Value('int64'), 'gen_tokens': Value('int64'), 'think_tokens': Value('int64'), 'prefill_tokens': Value('int64'), 'peak_ctx': Value('int64'), 'gen_time_s': Value('float64'), 'levers_fired': Json(decode=True), 'thermal': Value('string'), 'metrics': {'total_prompt_tokens': Value('int64'), 'total_completion_tokens': Value('int64'), 'total_cached_tokens': Value('int64'), 'total_steps': Value('int64'), 'extra': {'total_think_tokens': Value('int64'), 'total_gen_s': Value('float64'), 'total_prefill_s': Value('float64'), 'tok_per_s': Value('float64'), 'cache_hit_rate': Value('float64'), 'compactions': Value('int64'), 'finishes': Json(decode=True), 'draft_think': {'rounds': Value('int64'), 'accept_rate': Value('float64'), 'accepted_per_round': Value('float64')}, 'draft_act': {'rounds': Value('int64'), 'accept_rate': Value('float64'), 'accepted_per_round': Value('float64')}}}, 'trajectory': Value('string'), 'test_tail': 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
task: string
language: string
label: string
rep: int64
passed: bool
capped: bool
wall_s: double
verify_s: double
exit_code: int64
gen_tokens: int64
requests: int64
side_requests: int64
sampler: struct<ok: int64, unechoed: int64>
child 0, ok: int64
child 1, unechoed: int64
thermal: string
metrics: struct<total_prompt_tokens: int64, total_completion_tokens: int64, total_cached_tokens: int64, total (... 183 chars omitted)
child 0, total_prompt_tokens: int64
child 1, total_completion_tokens: int64
child 2, total_cached_tokens: int64
child 3, total_steps: int64
child 4, extra: struct<total_think_tokens: int64, total_gen_s: double, total_prefill_s: double, tok_per_s: double, c (... 60 chars omitted)
child 0, total_think_tokens: int64
child 1, total_gen_s: double
child 2, total_prefill_s: double
child 3, tok_per_s: double
child 4, cache_hit_rate: double
child 5, compactions: int64
child 6, finishes: string
trajectory: string
test_tail: string
levers_fired: null
output_tail: string
think_tokens: int64
steps: int64
peak_ctx: int64
tool_dispatches: int64
gen_time_s: double
prefill_tokens: int64
to
{'task': Value('string'), 'language': Value('string'), 'label': Value('string'), 'rep': Value('int64'), 'passed': Value('bool'), 'capped': Value('bool'), 'wall_s': Value('float64'), 'verify_s': Value('float64'), 'steps': Value('int64'), 'tool_dispatches': Value('int64'), 'gen_tokens': Value('int64'), 'think_tokens': Value('int64'), 'prefill_tokens': Value('int64'), 'peak_ctx': Value('int64'), 'gen_time_s': Value('float64'), 'levers_fired': Json(decode=True), 'thermal': Value('string'), 'metrics': {'total_prompt_tokens': Value('int64'), 'total_completion_tokens': Value('int64'), 'total_cached_tokens': Value('int64'), 'total_steps': Value('int64'), 'extra': {'total_think_tokens': Value('int64'), 'total_gen_s': Value('float64'), 'total_prefill_s': Value('float64'), 'tok_per_s': Value('float64'), 'cache_hit_rate': Value('float64'), 'compactions': Value('int64'), 'finishes': Json(decode=True), 'draft_think': {'rounds': Value('int64'), 'accept_rate': Value('float64'), 'accepted_per_round': Value('float64')}, 'draft_act': {'rounds': Value('int64'), 'accept_rate': Value('float64'), 'accepted_per_round': Value('float64')}}}, 'trajectory': Value('string'), 'test_tail': 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.
chad run data
Run output from the benchmarks of chad, a local
coding agent for Apple Silicon, kept out of the code repository. Every polyglot run here is
a row of benchmarks/polyglot/RUNS.md
with the sha256 of its trials.jsonl, and benchmarks/polyglot/fetch.py --label <label>
downloads one and refuses it if the hash differs.
| path | what |
|---|---|
polyglot/<label>/ |
one polyglot run: meta.json (chad version and commit, model, context limit, every CHAD_* variable), trials.jsonl (one row per trial) and, for runs a write-up reads, trajectories.tar.xz (one ATIF trajectory per trial) |
history/toolmix-1.13.0.jsonl |
per-trial tool-call counts from 355 chad 1.13.0 trajectories; the tool table in docs/design.md ("Five tools") |
matrix/ |
the nine-harness grid's three nights and four side runs, as committed at the tag archive/matrix-nine-harnesses |
Paths are rewritten before upload (publish.py): a trial's workspace is ., the kit
<kit>, the checkout <repo>, the home directory ~.
The exercises are Aider's polyglot benchmark, drawn from Exercism's MIT-licensed tracks; the trajectories quote them. Pass rates here are for paired comparison between two builds of chad, not a leaderboard.
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