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
0: list<item: int64>
child 0, item: int64
1: list<item: int64>
child 0, item: int64
2: list<item: int64>
child 0, item: int64
3: list<item: int64>
child 0, item: int64
4: list<item: int64>
child 0, item: int64
5: list<item: int64>
child 0, item: int64
6: list<item: int64>
child 0, item: int64
7: list<item: int64>
child 0, item: int64
8: list<item: int64>
child 0, item: int64
9: list<item: int64>
child 0, item: int64
10: list<item: int64>
child 0, item: int64
11: list<item: int64>
child 0, item: int64
12: list<item: int64>
child 0, item: int64
13: list<item: int64>
child 0, item: int64
14: list<item: int64>
child 0, item: int64
15: list<item: int64>
child 0, item: int64
16: list<item: int64>
child 0, item: int64
17: list<item: int64>
child 0, item: int64
18: list<item: int64>
child 0, item: int64
19: list<item: int64>
child 0, item: int64
20: list<item: int64>
child 0, item: int64
21: list<item: int64>
child 0, item: int64
22: list<item: int64>
child 0, item: int64
23: list<item: int64>
child 0, item: int64
24: list<item: int64>
child 0, item: int64
25: list<item: int64>
child 0, item: int64
26: list<item: int64>
child 0, item: int64
27: list<item: int64>
child 0, item: int64
28: list<item: int64>
child 0, item: int64
29: list<item: int64>
child 0, item: int64
30: list<item: int64>
child 0, item: int64
31: list<item: int64>
child 0, item: int64
32: list<item: int64>
child 0, item: int64
33: list<item: int64>
child 0, item: int64
34: list<item: int64>
child 0, item: int64
35: list<item: int64>
child 0, item: int64
36: list<item: int64>
child 0, item: int64
37: list<item: int64>
child 0, item: int64
38: list<item: int64>
child 0, item: int64
39: list<item: int64>
child 0, item: int64
40: list<item: int64>
child 0, item: int64
41: list<item: int64>
child 0, item: int64
42: list<item: int64>
child 0, item: int64
43: list<item: int64>
child 0, item: int64
44: list<item: int64>
child 0, item: int64
45: list<item: int64>
child 0, item: int64
46: list<item: int64>
child 0, item: int64
47: list<item: int64>
child 0, item: int64
to
{'1': List(Value('int64')), '2': List(Value('int64')), '3': List(Value('int64')), '4': List(Value('int64')), '5': List(Value('int64')), '6': List(Value('int64')), '7': List(Value('int64')), '8': List(Value('int64')), '9': List(Value('int64')), '10': List(Value('int64')), '11': List(Value('int64')), '12': List(Value('int64')), '13': List(Value('int64')), '14': List(Value('int64')), '15': List(Value('int64')), '16': List(Value('int64')), '17': List(Value('int64')), '18': List(Value('int64')), '19': List(Value('int64')), '20': List(Value('int64')), '21': List(Value('int64')), '22': List(Value('int64')), '23': List(Value('int64')), '24': List(Value('int64')), '25': List(Value('int64')), '26': List(Value('int64'))}
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
0: list<item: int64>
child 0, item: int64
1: list<item: int64>
child 0, item: int64
2: list<item: int64>
child 0, item: int64
3: list<item: int64>
child 0, item: int64
4: list<item: int64>
child 0, item: int64
5: list<item: int64>
child 0, item: int64
6: list<item: int64>
child 0, item: int64
7: list<item: int64>
child 0, item: int64
8: list<item: int64>
child 0, item: int64
9: list<item: int64>
child 0, item: int64
10: list<item: int64>
child 0, item: int64
11: list<item: int64>
child 0, item: int64
12: list<item: int64>
child 0, item: int64
13: list<item: int64>
child 0, item: int64
14: list<item: int64>
child 0, item: int64
15: list<item: int64>
child 0, item: int64
16: list<item: int64>
child 0, item: int64
17: list<item: int64>
child 0, item: int64
18: list<item: int64>
child 0, item: int64
19: list<item: int64>
child 0, item: int64
20: list<item: int64>
child 0, item: int64
21: list<item: int64>
child 0, item: int64
22: list<item: int64>
child 0, item: int64
23: list<item: int64>
child 0, item: int64
24: list<item: int64>
child 0, item: int64
25: list<item: int64>
child 0, item: int64
26: list<item: int64>
child 0, item: int64
27: list<item: int64>
child 0, item: int64
28: list<item: int64>
child 0, item: int64
29: list<item: int64>
child 0, item: int64
30: list<item: int64>
child 0, item: int64
31: list<item: int64>
child 0, item: int64
32: list<item: int64>
child 0, item: int64
33: list<item: int64>
child 0, item: int64
34: list<item: int64>
child 0, item: int64
35: list<item: int64>
child 0, item: int64
36: list<item: int64>
child 0, item: int64
37: list<item: int64>
child 0, item: int64
38: list<item: int64>
child 0, item: int64
39: list<item: int64>
child 0, item: int64
40: list<item: int64>
child 0, item: int64
41: list<item: int64>
child 0, item: int64
42: list<item: int64>
child 0, item: int64
43: list<item: int64>
child 0, item: int64
44: list<item: int64>
child 0, item: int64
45: list<item: int64>
child 0, item: int64
46: list<item: int64>
child 0, item: int64
47: list<item: int64>
child 0, item: int64
to
{'1': List(Value('int64')), '2': List(Value('int64')), '3': List(Value('int64')), '4': List(Value('int64')), '5': List(Value('int64')), '6': List(Value('int64')), '7': List(Value('int64')), '8': List(Value('int64')), '9': List(Value('int64')), '10': List(Value('int64')), '11': List(Value('int64')), '12': List(Value('int64')), '13': List(Value('int64')), '14': List(Value('int64')), '15': List(Value('int64')), '16': List(Value('int64')), '17': List(Value('int64')), '18': List(Value('int64')), '19': List(Value('int64')), '20': List(Value('int64')), '21': List(Value('int64')), '22': List(Value('int64')), '23': List(Value('int64')), '24': List(Value('int64')), '25': List(Value('int64')), '26': List(Value('int64'))}
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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Check out the documentation for more information.
PrefetchMLP
Self-synthesized MoE routing traces for training next-layer expert prefetch predictors.
Each chunk (moe_trace_chunk_*.pt) records, for every MoE layer and decode token:
the router input hidden states, dense expert scores, and the actual selected expert IDs.
Content:
- qwen3.5-gsm8k
- deepseek-coder-v2-magicoder
- deepseek-v2-lite-chat (to be added after training)
All data are self-synthesized by the repo owner.
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