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
seed: int64
exclude: struct<automathtext-v2: list<item: int64>, finewebedu: list<item: int64>, ultradata-math-l3: list<it (... 310 chars omitted)
child 0, automathtext-v2: list<item: int64>
child 0, item: int64
child 1, finewebedu: list<item: int64>
child 0, item: int64
child 2, ultradata-math-l3: list<item: int64>
child 0, item: int64
child 3, openthoughts3-1.2m: list<item: int64>
child 0, item: int64
child 4, pes2o-v3: list<item: int64>
child 0, item: int64
child 5, nemotron-cc-math-v1-4plus-mind: list<item: int64>
child 0, item: int64
child 6, nemotron-specialized-v1.2: list<item: int64>
child 0, item: int64
child 7, nemotron-specialized-v1.1: list<item: int64>
child 0, item: int64
child 8, cosmopedia-wikihow-stories-arrow: list<item: int64>
child 0, item: int64
child 9, synth-v1-arrow: list<item: int64>
child 0, item: int64
total: int64
seq_len: int64
datasets: list<item: struct<name: string, eval_ratio: double, cache_path: string>>
child 0, item: struct<name: string, eval_ratio: double, cache_path: string>
child 0, name: string
child 1, eval_ratio: double
child 2, cache_path: string
version: int64
to
{'version': Value('int64'), 'seq_len': Value('int64'), 'total': Value('int64'), 'seed': Value('int64'), 'datasets': List({'name': Value('string'), 'eval_ratio': Value('float64'), 'cache_path': 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
seed: int64
exclude: struct<automathtext-v2: list<item: int64>, finewebedu: list<item: int64>, ultradata-math-l3: list<it (... 310 chars omitted)
child 0, automathtext-v2: list<item: int64>
child 0, item: int64
child 1, finewebedu: list<item: int64>
child 0, item: int64
child 2, ultradata-math-l3: list<item: int64>
child 0, item: int64
child 3, openthoughts3-1.2m: list<item: int64>
child 0, item: int64
child 4, pes2o-v3: list<item: int64>
child 0, item: int64
child 5, nemotron-cc-math-v1-4plus-mind: list<item: int64>
child 0, item: int64
child 6, nemotron-specialized-v1.2: list<item: int64>
child 0, item: int64
child 7, nemotron-specialized-v1.1: list<item: int64>
child 0, item: int64
child 8, cosmopedia-wikihow-stories-arrow: list<item: int64>
child 0, item: int64
child 9, synth-v1-arrow: list<item: int64>
child 0, item: int64
total: int64
seq_len: int64
datasets: list<item: struct<name: string, eval_ratio: double, cache_path: string>>
child 0, item: struct<name: string, eval_ratio: double, cache_path: string>
child 0, name: string
child 1, eval_ratio: double
child 2, cache_path: string
version: int64
to
{'version': Value('int64'), 'seq_len': Value('int64'), 'total': Value('int64'), 'seed': Value('int64'), 'datasets': List({'name': Value('string'), 'eval_ratio': Value('float64'), 'cache_path': 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.
experiment-v1 training artifacts
Quick download bundle for SN3Teutonic training_v4/experiment-v1:
| Path | Contents |
|---|---|
mix_data/ |
Prepared train mixture (~154GB) |
eval_cache_prop/ |
Held-out eval cache (~316MB) |
runs/v4-experiment-v1/ |
Local bucket mirror run objects (~17GB) |
Download
hf download peter090/experiment-v1-data --repo-type dataset --local-dir ./experiment-v1-data
Or selectively:
hf download peter090/experiment-v1-data --repo-type dataset --include "eval_cache_prop/*" --local-dir ./experiment-v1-data
hf download peter090/experiment-v1-data --repo-type dataset --include "mix_data/*" --local-dir ./experiment-v1-data
hf download peter090/experiment-v1-data --repo-type dataset --include "runs/*" --local-dir ./experiment-v1-data
Place under training_v4/experiment-v1/ as mix_data, eval_cache_prop, and optionally sync runs/v4-experiment-v1 into bucket_mirror/runs/.
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