DAG ICML 2026 Reproduction
Collection
Reproduction artifacts for DAG (OpenReview jntRRU4zcb / arXiv 2509.14933) • 3 items • Updated
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
paper_etth1_avg: struct<DAG_mse: double, DAG_mae: double, TimeXer_mse: double, TimeXer_mae: double>
child 0, DAG_mse: double
child 1, DAG_mae: double
child 2, TimeXer_mse: double
child 3, TimeXer_mae: double
paper_np_h24: struct<DAG_mse: double, DAG_mae: double>
child 0, DAG_mse: double
child 1, DAG_mae: double
repro: struct<dag_etth1: struct<mse: null, mae: null>, timexer_etth1: struct<mse: null, mae: null>, dag_np: (... 30 chars omitted)
child 0, dag_etth1: struct<mse: null, mae: null>
child 0, mse: null
child 1, mae: null
child 1, timexer_etth1: struct<mse: null, mae: null>
child 0, mse: null
child 1, mae: null
child 2, dag_np: struct<mse: null, mae: null>
child 0, mse: null
child 1, mae: null
epochs: int64
scale: string
hardware: string
note: string
baselines_match: bool
found_datasets_in_DAG_TFB_script: list<item: string>
child 0, item: string
expected_baselines: list<item: string>
child 0, item: string
datasets_match: bool
found_baseline_scripts: list<item: string>
child 0, item: string
expected_datasets: list<item: string>
child 0, item: string
to
{'expected_datasets': List(Value('string')), 'found_datasets_in_DAG_TFB_script': List(Value('string')), 'datasets_match': Value('bool'), 'expected_baselines': List(Value('string')), 'found_baseline_scripts': List(Value('string')), 'baselines_match': Value('bool'), 'note': 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 478, 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
paper_etth1_avg: struct<DAG_mse: double, DAG_mae: double, TimeXer_mse: double, TimeXer_mae: double>
child 0, DAG_mse: double
child 1, DAG_mae: double
child 2, TimeXer_mse: double
child 3, TimeXer_mae: double
paper_np_h24: struct<DAG_mse: double, DAG_mae: double>
child 0, DAG_mse: double
child 1, DAG_mae: double
repro: struct<dag_etth1: struct<mse: null, mae: null>, timexer_etth1: struct<mse: null, mae: null>, dag_np: (... 30 chars omitted)
child 0, dag_etth1: struct<mse: null, mae: null>
child 0, mse: null
child 1, mae: null
child 1, timexer_etth1: struct<mse: null, mae: null>
child 0, mse: null
child 1, mae: null
child 2, dag_np: struct<mse: null, mae: null>
child 0, mse: null
child 1, mae: null
epochs: int64
scale: string
hardware: string
note: string
baselines_match: bool
found_datasets_in_DAG_TFB_script: list<item: string>
child 0, item: string
expected_baselines: list<item: string>
child 0, item: string
datasets_match: bool
found_baseline_scripts: list<item: string>
child 0, item: string
expected_datasets: list<item: string>
child 0, item: string
to
{'expected_datasets': List(Value('string')), 'found_datasets_in_DAG_TFB_script': List(Value('string')), 'datasets_match': Value('bool'), 'expected_baselines': List(Value('string')), 'found_baseline_scripts': List(Value('string')), 'baselines_match': Value('bool'), 'note': 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.
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DAG ICML 2026 reproduction bundle
Paper: https://arxiv.org/abs/2509.14933 (OpenReview jntRRU4zcb) Official code: https://github.com/decisionintelligence/DAG Datasets (slim): https://huggingface.co/datasets/dstrijker/dag-icml2026-datasets
Contents
scripts/verification and experiment runnersoutputs/JSON/logs from local runscode_patches/NumPy2np.inf+ float32 tensor casts applied on top of upstream
Notes
HF Jobs could not be used (402 insufficient prepaid credits on dstrijker). Substantive runs executed locally on CPU with scaled epochs/rollings.
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