Olaf-World ICML 2026 Reproduction
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Trackio logbook, compact outputs, and artifact Bucket for reproducing Olaf-World (arXiv 2602.10104, OpenReview 5TiuerrwR8). • 4 items • Updated
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'macro_f1_std', 'cosine_margin_std', 'macro_f1_mean', 'cosine_margin_mean', 'replicates'}) and 4 missing columns ({'cosine_margin', 'replicate', 'selected_videos', 'macro_f1'}).
This happened while the csv dataset builder was generating data using
hf://datasets/nielsr/olaf-world-repro-staging/latest/adaptation_summary.csv (at revision 1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc), ['hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/adaptation_results.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/adaptation_summary.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/feature_counts.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/probe_results.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/probe_summary.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/prototype_similarity.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/prototype_summary.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
model: string
target_domain: string
labeled_target_videos: int64
macro_f1_mean: double
macro_f1_std: double
cosine_margin_mean: double
cosine_margin_std: double
replicates: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1294
to
{'model': Value('string'), 'target_domain': Value('string'), 'labeled_target_videos': Value('int64'), 'replicate': Value('int64'), 'selected_videos': Value('string'), 'macro_f1': Value('float64'), 'cosine_margin': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'macro_f1_std', 'cosine_margin_std', 'macro_f1_mean', 'cosine_margin_mean', 'replicates'}) and 4 missing columns ({'cosine_margin', 'replicate', 'selected_videos', 'macro_f1'}).
This happened while the csv dataset builder was generating data using
hf://datasets/nielsr/olaf-world-repro-staging/latest/adaptation_summary.csv (at revision 1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc), ['hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/adaptation_results.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/adaptation_summary.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/feature_counts.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/probe_results.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/probe_summary.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/prototype_similarity.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/prototype_summary.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
model string | target_domain string | labeled_target_videos int64 | replicate int64 | selected_videos string | macro_f1 float64 | cosine_margin float64 |
|---|---|---|---|---|---|---|
vanilla_beta_vae | 1st | 0 | 0 | cross-domain:3rd | 0.414125 | -0.149194 |
vanilla_beta_vae | 1st | 1 | 0 | data-80 | 0.37258 | -0.092649 |
vanilla_beta_vae | 1st | 1 | 1 | data-103 | 0.410618 | -0.086702 |
vanilla_beta_vae | 1st | 1 | 2 | data-105 | 0.391282 | -0.101409 |
vanilla_beta_vae | 1st | 1 | 3 | data-114 | 0.504292 | -0.168043 |
vanilla_beta_vae | 1st | 1 | 4 | data-117 | 0.404896 | -0.114431 |
vanilla_beta_vae | 1st | 1 | 5 | data-122 | 0.41779 | -0.095334 |
vanilla_beta_vae | 1st | 1 | 6 | data-124 | 0.430582 | -0.137677 |
vanilla_beta_vae | 1st | 3 | 0 | data-114,data-117,data-122 | 0.397609 | -0.080229 |
vanilla_beta_vae | 1st | 3 | 1 | data-103,data-114,data-124 | 0.422569 | -0.093937 |
vanilla_beta_vae | 1st | 3 | 2 | data-80,data-114,data-122 | 0.401405 | -0.08628 |
vanilla_beta_vae | 1st | 3 | 3 | data-80,data-103,data-105 | 0.385127 | -0.073293 |
vanilla_beta_vae | 1st | 3 | 4 | data-117,data-122,data-124 | 0.37968 | -0.096771 |
vanilla_beta_vae | 1st | 3 | 5 | data-80,data-103,data-124 | 0.384591 | -0.092092 |
vanilla_beta_vae | 1st | 3 | 6 | data-80,data-105,data-117 | 0.390239 | -0.098509 |
vanilla_beta_vae | 1st | 3 | 7 | data-80,data-103,data-117 | 0.389573 | -0.090209 |
vanilla_beta_vae | 1st | 3 | 8 | data-80,data-105,data-122 | 0.393447 | -0.087186 |
vanilla_beta_vae | 1st | 3 | 9 | data-103,data-117,data-124 | 0.4326 | -0.103338 |
vanilla_beta_vae | 1st | 3 | 10 | data-80,data-103,data-114 | 0.422605 | -0.082577 |
vanilla_beta_vae | 1st | 3 | 11 | data-80,data-117,data-122 | 0.380446 | -0.090665 |
vanilla_beta_vae | 1st | 3 | 12 | data-103,data-105,data-124 | 0.412861 | -0.086251 |
vanilla_beta_vae | 1st | 3 | 13 | data-103,data-117,data-122 | 0.405854 | -0.088613 |
vanilla_beta_vae | 1st | 3 | 14 | data-114,data-122,data-124 | 0.431507 | -0.099481 |
vanilla_beta_vae | 1st | 3 | 15 | data-103,data-105,data-114 | 0.389381 | -0.066334 |
vanilla_beta_vae | 1st | 3 | 16 | data-105,data-117,data-124 | 0.39806 | -0.109884 |
vanilla_beta_vae | 1st | 3 | 17 | data-80,data-122,data-124 | 0.393678 | -0.093701 |
vanilla_beta_vae | 1st | 3 | 18 | data-80,data-114,data-117 | 0.399305 | -0.089547 |
vanilla_beta_vae | 1st | 3 | 19 | data-80,data-105,data-114 | 0.383726 | -0.070313 |
vanilla_beta_vae | 1st | 5 | 0 | data-80,data-105,data-117,data-122,data-124 | 0.376553 | -0.089083 |
vanilla_beta_vae | 1st | 5 | 1 | data-80,data-105,data-114,data-117,data-122 | 0.376067 | -0.079359 |
vanilla_beta_vae | 1st | 5 | 2 | data-80,data-103,data-105,data-117,data-122 | 0.379571 | -0.083877 |
vanilla_beta_vae | 1st | 5 | 3 | data-80,data-103,data-114,data-117,data-124 | 0.422587 | -0.092785 |
vanilla_beta_vae | 1st | 5 | 4 | data-103,data-105,data-114,data-122,data-124 | 0.402962 | -0.080386 |
vanilla_beta_vae | 1st | 5 | 5 | data-80,data-105,data-114,data-122,data-124 | 0.38267 | -0.081378 |
vanilla_beta_vae | 1st | 5 | 6 | data-103,data-114,data-117,data-122,data-124 | 0.400578 | -0.086983 |
vanilla_beta_vae | 1st | 5 | 7 | data-80,data-103,data-105,data-114,data-117 | 0.401956 | -0.079184 |
vanilla_beta_vae | 1st | 5 | 8 | data-103,data-105,data-114,data-117,data-122 | 0.382436 | -0.077042 |
vanilla_beta_vae | 1st | 5 | 9 | data-80,data-103,data-105,data-117,data-124 | 0.402167 | -0.092914 |
vanilla_beta_vae | 1st | 5 | 10 | data-80,data-105,data-114,data-117,data-124 | 0.412948 | -0.093939 |
vanilla_beta_vae | 1st | 5 | 11 | data-105,data-114,data-117,data-122,data-124 | 0.393331 | -0.080566 |
vanilla_beta_vae | 1st | 5 | 12 | data-80,data-103,data-114,data-122,data-124 | 0.404402 | -0.087264 |
vanilla_beta_vae | 1st | 5 | 13 | data-80,data-114,data-117,data-122,data-124 | 0.397693 | -0.08895 |
vanilla_beta_vae | 1st | 5 | 14 | data-80,data-103,data-105,data-114,data-122 | 0.405864 | -0.08245 |
vanilla_beta_vae | 1st | 5 | 15 | data-103,data-105,data-117,data-122,data-124 | 0.384589 | -0.086412 |
vanilla_beta_vae | 1st | 5 | 16 | data-80,data-103,data-105,data-114,data-124 | 0.411365 | -0.074539 |
vanilla_beta_vae | 1st | 5 | 17 | data-103,data-105,data-114,data-117,data-124 | 0.421875 | -0.085742 |
vanilla_beta_vae | 1st | 5 | 18 | data-80,data-103,data-114,data-117,data-122 | 0.396039 | -0.083587 |
vanilla_beta_vae | 1st | 5 | 19 | data-80,data-103,data-117,data-122,data-124 | 0.396622 | -0.091722 |
vanilla_beta_vae | 1st | 7 | 0 | data-80,data-103,data-105,data-114,data-117,data-122,data-124 | 0.379984 | -0.082692 |
vanilla_beta_vae | 3rd | 0 | 0 | cross-domain:1st | 0.219803 | -0.247836 |
vanilla_beta_vae | 3rd | 1 | 1 | data-201 | 0.366759 | -0.330678 |
vanilla_beta_vae | 3rd | 1 | 3 | data-223 | 0.329405 | -0.267458 |
vanilla_beta_vae | 3rd | 1 | 4 | data-230 | 0.336026 | -0.263275 |
vanilla_beta_vae | 3rd | 3 | 0 | data-223,data-230,data-242 | 0.32058 | -0.261897 |
vanilla_beta_vae | 3rd | 3 | 1 | data-201,data-223,data-245 | 0.349611 | -0.282412 |
vanilla_beta_vae | 3rd | 3 | 2 | data-200,data-223,data-242 | 0.368551 | -0.308529 |
vanilla_beta_vae | 3rd | 3 | 3 | data-200,data-201,data-205 | 0.37603 | -0.306625 |
vanilla_beta_vae | 3rd | 3 | 4 | data-230,data-242,data-245 | 0.346951 | -0.258312 |
vanilla_beta_vae | 3rd | 3 | 5 | data-200,data-201,data-245 | 0.397221 | -0.276448 |
vanilla_beta_vae | 3rd | 3 | 6 | data-200,data-205,data-230 | 0.389158 | -0.26893 |
vanilla_beta_vae | 3rd | 3 | 7 | data-200,data-201,data-230 | 0.37711 | -0.308787 |
vanilla_beta_vae | 3rd | 3 | 8 | data-200,data-205,data-242 | 0.389373 | -0.288154 |
vanilla_beta_vae | 3rd | 3 | 9 | data-201,data-230,data-245 | 0.359393 | -0.269046 |
vanilla_beta_vae | 3rd | 3 | 10 | data-200,data-201,data-223 | 0.352145 | -0.315621 |
vanilla_beta_vae | 3rd | 3 | 11 | data-200,data-230,data-242 | 0.384424 | -0.297039 |
vanilla_beta_vae | 3rd | 3 | 12 | data-201,data-205,data-245 | 0.349201 | -0.276964 |
vanilla_beta_vae | 3rd | 3 | 13 | data-201,data-230,data-242 | 0.361401 | -0.27221 |
vanilla_beta_vae | 3rd | 3 | 14 | data-223,data-242,data-245 | 0.323753 | -0.2724 |
vanilla_beta_vae | 3rd | 3 | 15 | data-201,data-205,data-223 | 0.336477 | -0.28078 |
vanilla_beta_vae | 3rd | 3 | 16 | data-205,data-230,data-245 | 0.286273 | -0.255871 |
vanilla_beta_vae | 3rd | 3 | 17 | data-200,data-242,data-245 | 0.381681 | -0.262881 |
vanilla_beta_vae | 3rd | 3 | 18 | data-200,data-223,data-230 | 0.36866 | -0.294309 |
vanilla_beta_vae | 3rd | 3 | 19 | data-200,data-205,data-223 | 0.360061 | -0.285108 |
vanilla_beta_vae | 3rd | 5 | 0 | data-200,data-205,data-230,data-242,data-245 | 0.343459 | -0.259213 |
vanilla_beta_vae | 3rd | 5 | 1 | data-200,data-205,data-223,data-230,data-242 | 0.348179 | -0.271091 |
vanilla_beta_vae | 3rd | 5 | 2 | data-200,data-201,data-205,data-230,data-242 | 0.372214 | -0.283019 |
vanilla_beta_vae | 3rd | 5 | 3 | data-200,data-201,data-223,data-230,data-245 | 0.364627 | -0.272897 |
vanilla_beta_vae | 3rd | 5 | 4 | data-201,data-205,data-223,data-242,data-245 | 0.330463 | -0.274794 |
vanilla_beta_vae | 3rd | 5 | 5 | data-200,data-205,data-223,data-242,data-245 | 0.351636 | -0.267688 |
vanilla_beta_vae | 3rd | 5 | 6 | data-201,data-223,data-230,data-242,data-245 | 0.322828 | -0.27181 |
vanilla_beta_vae | 3rd | 5 | 7 | data-200,data-201,data-205,data-223,data-230 | 0.344679 | -0.282989 |
vanilla_beta_vae | 3rd | 5 | 8 | data-201,data-205,data-223,data-230,data-242 | 0.315139 | -0.27145 |
vanilla_beta_vae | 3rd | 5 | 9 | data-200,data-201,data-205,data-230,data-245 | 0.358477 | -0.27121 |
vanilla_beta_vae | 3rd | 5 | 10 | data-200,data-205,data-223,data-230,data-245 | 0.329846 | -0.267842 |
vanilla_beta_vae | 3rd | 5 | 11 | data-205,data-223,data-230,data-242,data-245 | 0.306367 | -0.265967 |
vanilla_beta_vae | 3rd | 5 | 12 | data-200,data-201,data-223,data-242,data-245 | 0.38301 | -0.278686 |
vanilla_beta_vae | 3rd | 5 | 13 | data-200,data-223,data-230,data-242,data-245 | 0.346421 | -0.260343 |
vanilla_beta_vae | 3rd | 5 | 14 | data-200,data-201,data-205,data-223,data-242 | 0.363733 | -0.290737 |
vanilla_beta_vae | 3rd | 5 | 15 | data-201,data-205,data-230,data-242,data-245 | 0.32333 | -0.269141 |
vanilla_beta_vae | 3rd | 5 | 16 | data-200,data-201,data-205,data-223,data-245 | 0.337707 | -0.278522 |
vanilla_beta_vae | 3rd | 5 | 17 | data-201,data-205,data-223,data-230,data-245 | 0.322494 | -0.272662 |
vanilla_beta_vae | 3rd | 5 | 18 | data-200,data-201,data-223,data-230,data-242 | 0.36377 | -0.293204 |
vanilla_beta_vae | 3rd | 5 | 19 | data-200,data-201,data-230,data-242,data-245 | 0.378524 | -0.266454 |
vanilla_beta_vae | 3rd | 7 | 0 | data-200,data-201,data-205,data-223,data-230,data-242,data-245 | 0.334232 | -0.270526 |
seq_delta_repa | 1st | 0 | 0 | cross-domain:3rd | 0.695146 | 0.145961 |
seq_delta_repa | 1st | 1 | 0 | data-80 | 0.773575 | 0.23186 |
seq_delta_repa | 1st | 1 | 1 | data-103 | 0.776436 | 0.188581 |
seq_delta_repa | 1st | 1 | 2 | data-105 | 0.721046 | 0.173607 |
seq_delta_repa | 1st | 1 | 3 | data-114 | 0.636732 | 0.256834 |
seq_delta_repa | 1st | 1 | 4 | data-117 | 0.818565 | 0.324324 |
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