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
vendor/scikit-learn/COPYING: string
vendor/scikit-learn/sklearn/neural_network/__init__.py: string
vendor/scikit-learn/sklearn/neural_network/_base.py: string
vendor/scikit-learn/sklearn/neural_network/_multilayer_perceptron.py: string
vendor/scikit-learn/sklearn/neural_network/_stochastic_optimizers.py: string
detect_deletion: bool
artifacts: list<item: string>
child 0, item: string
mutable: list<item: string>
child 0, item: string
files: struct<Dockerfile: string, vendor/scikit-learn/COPYING: string, vendor/scikit-learn/sklearn/neural_n (... 244 chars omitted)
child 0, Dockerfile: string
child 1, vendor/scikit-learn/COPYING: string
child 2, vendor/scikit-learn/sklearn/neural_network/__init__.py: string
child 3, vendor/scikit-learn/sklearn/neural_network/_base.py: string
child 4, vendor/scikit-learn/sklearn/neural_network/_multilayer_perceptron.py: string
child 5, vendor/scikit-learn/sklearn/neural_network/_stochastic_optimizers.py: string
schema_version: string
to
{'artifacts': List(Value('string')), 'detect_deletion': Value('bool'), 'files': {'Dockerfile': Value('string'), 'vendor/scikit-learn/COPYING': Value('string'), 'vendor/scikit-learn/sklearn/neural_network/__init__.py': Value('string'), 'vendor/scikit-learn/sklearn/neural_network/_base.py': Value('string'), 'vendor/scikit-learn/sklearn/neural_network/_multilayer_perceptron.py': Value('string'), 'vendor/scikit-learn/sklearn/neural_network/_stochastic_optimizers.py': Value('string')}, 'mutable': List(Value('string')), 'schema_version': 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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
vendor/scikit-learn/COPYING: string
vendor/scikit-learn/sklearn/neural_network/__init__.py: string
vendor/scikit-learn/sklearn/neural_network/_base.py: string
vendor/scikit-learn/sklearn/neural_network/_multilayer_perceptron.py: string
vendor/scikit-learn/sklearn/neural_network/_stochastic_optimizers.py: string
detect_deletion: bool
artifacts: list<item: string>
child 0, item: string
mutable: list<item: string>
child 0, item: string
files: struct<Dockerfile: string, vendor/scikit-learn/COPYING: string, vendor/scikit-learn/sklearn/neural_n (... 244 chars omitted)
child 0, Dockerfile: string
child 1, vendor/scikit-learn/COPYING: string
child 2, vendor/scikit-learn/sklearn/neural_network/__init__.py: string
child 3, vendor/scikit-learn/sklearn/neural_network/_base.py: string
child 4, vendor/scikit-learn/sklearn/neural_network/_multilayer_perceptron.py: string
child 5, vendor/scikit-learn/sklearn/neural_network/_stochastic_optimizers.py: string
schema_version: string
to
{'artifacts': List(Value('string')), 'detect_deletion': Value('bool'), 'files': {'Dockerfile': Value('string'), 'vendor/scikit-learn/COPYING': Value('string'), 'vendor/scikit-learn/sklearn/neural_network/__init__.py': Value('string'), 'vendor/scikit-learn/sklearn/neural_network/_base.py': Value('string'), 'vendor/scikit-learn/sklearn/neural_network/_multilayer_perceptron.py': Value('string'), 'vendor/scikit-learn/sklearn/neural_network/_stochastic_optimizers.py': Value('string')}, 'mutable': List(Value('string')), 'schema_version': 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.
MiMo-V2.6-RL-oss code tasks on Daytona
Artifacts for running the code (SWE) and terminal-bench tasks of
XiaomiMiMo/MiMo-V2.6-RL-oss on Daytona from a few
shared snapshots instead of one image per task. All content is derived from Xiaomi's Apache-2.0 task images
(xiaomimimo/mimo-v2.6-rl-oss on Docker Hub); credit to Xiaomi MiMo.
blobs/sha256/<first 2 hex>/<64 hex>, content-addressed and sha256-checked by every consumer:- per-task deltas for tasks built on the universal all-toolchains image (files that differ from the shared base),
- two toolchain packs (Rust toolchains, JDKs) left out of the shared snapshot because of Daytona's 5 GB limit,
- the original flattened image layer of every other task in the probe set, byte-identical to the registry blob.
bundle/mimo1-20260928/: the recovery bundle (snapshot recipes, task trees, smoke tasks, manifest with the digest-pinnedghcr.io/lukedhlee/mimo/*images). Run itsrestore.sh; see itsRECOVERY.md.
Scripts: data/mimo/daytona/ in OpenThoughts-Agent.
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