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
id: string
app: string
instruction: string
apps_involved: list<item: string>
child 0, item: string
category: string
difficulty: string
grading: struct<type: string, rubrics: list<item: struct<criterion: string, type: string, weight: double>>, r (... 19 chars omitted)
child 0, type: string
child 1, rubrics: list<item: struct<criterion: string, type: string, weight: double>>
child 0, item: struct<criterion: string, type: string, weight: double>
child 0, criterion: string
child 1, type: string
child 2, weight: double
child 2, rubric_rule: string
built_at: timestamp[s]
git_sha: string
digests: struct<qcow2: string, all_tasks_with_grading: string>
child 0, qcow2: string
child 1, all_tasks_with_grading: string
bake_reference_time: timestamp[s]
notes: string
tiers: list<item: string>
child 0, item: string
tag: string
to
{'tag': Value('string'), 'git_sha': Value('string'), 'tiers': List(Value('string')), 'built_at': Value('timestamp[s]'), 'bake_reference_time': Value('timestamp[s]'), 'digests': {'qcow2': Value('string'), 'all_tasks_with_grading': Value('string')}, 'notes': 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
app: string
instruction: string
apps_involved: list<item: string>
child 0, item: string
category: string
difficulty: string
grading: struct<type: string, rubrics: list<item: struct<criterion: string, type: string, weight: double>>, r (... 19 chars omitted)
child 0, type: string
child 1, rubrics: list<item: struct<criterion: string, type: string, weight: double>>
child 0, item: struct<criterion: string, type: string, weight: double>
child 0, criterion: string
child 1, type: string
child 2, weight: double
child 2, rubric_rule: string
built_at: timestamp[s]
git_sha: string
digests: struct<qcow2: string, all_tasks_with_grading: string>
child 0, qcow2: string
child 1, all_tasks_with_grading: string
bake_reference_time: timestamp[s]
notes: string
tiers: list<item: string>
child 0, item: string
tag: string
to
{'tag': Value('string'), 'git_sha': Value('string'), 'tiers': List(Value('string')), 'built_at': Value('timestamp[s]'), 'bake_reference_time': Value('timestamp[s]'), 'digests': {'qcow2': Value('string'), 'all_tasks_with_grading': Value('string')}, 'notes': 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.
MyPCBench VM images
Pre-baked VM disk images for MyPCBench — a benchmark for personally intelligent computer-use agents (184 tasks, 17 seeded web apps, one canonical persona). Runner + tasks + docs: https://github.com/ljang0/MyPCBench
| File | What it is |
|---|---|
michael_scott.qcow2 |
v0.1 — current benchmark VM (default). Rebuilt and re-uploaded daily so seeded data reads as current. Byte-identical to the qcow2 embedded in ljang/mypcbench-qemu:latest on Docker Hub; sha in SHA256SUMS, version in VERSION.json. |
michael_scott_round78e.qcow2 |
v0.0 — archived paper baseline (eval-round0). Use only to reproduce the paper numbers. |
all_tasks_with_grading.json |
The 184-task suite with rubrics (mirrors the GitHub repo). |
SHA256SUMS, VERSION.json |
Integrity + provenance for the current upload. |
base.qcow2, mypcbench-desktop.tar.zst, mypcbench-michael_scott.qcow2 |
Legacy artifacts from earlier releases — do not use. Kept for archival; not referenced by any current tooling. |
Fetch with no Docker daemon: bash scripts/get-eval-image.sh from the GitHub
repo (extracts qcow2 + OVMF via skopeo, or falls back to this dataset).
- Downloads last month
- 176