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
problems: list<item: struct<orig_prompt: string, gt: null, candidates: list<item: string>, candidate_groups: l (... 85 chars omitted)
child 0, item: struct<orig_prompt: string, gt: null, candidates: list<item: string>, candidate_groups: list<item: l (... 73 chars omitted)
child 0, orig_prompt: string
child 1, gt: null
child 2, candidates: list<item: string>
child 0, item: string
child 3, candidate_groups: list<item: list<item: null>>
child 0, item: list<item: null>
child 0, item: null
child 4, routing_details: null
child 5, question: string
child 6, options: null
metrics: struct<loop: int64, note: string>
child 0, loop: int64
child 1, note: string
units: list<item: struct<unit: string, bucket: string, max_evolution_loops: int64, LOOPS: int64, n_problems (... 31 chars omitted)
child 0, item: struct<unit: string, bucket: string, max_evolution_loops: int64, LOOPS: int64, n_problems: int64, pr (... 19 chars omitted)
child 0, unit: string
child 1, bucket: string
child 2, max_evolution_loops: int64
child 3, LOOPS: int64
child 4, n_problems: int64
child 5, problem_loops: int64
phase2_total_problem_loops: int64
total_problems: int64
phase2_total_problems: int64
phase2_units: list<item: struct<unit: string, bucket: string, phase: int64, max_evolution_loops: int64, LOOPS: int (... 45 chars omitted)
child 0, item: struct<unit: string, bucket: string, phase: int64, max_evolution_loops: int64, LOOPS: int64, n_probl (... 33 chars omitted)
child 0, unit: string
child 1, bucket: string
child 2, phase: int64
child 3, max_evolution_loops: int64
child 4, LOOPS: int64
child 5, n_problems: int64
child 6, problem_loops: int64
total_problem_loops: int64
phase2_note: string
model: string
to
{'model': Value('string'), 'units': List({'unit': Value('string'), 'bucket': Value('string'), 'max_evolution_loops': Value('int64'), 'LOOPS': Value('int64'), 'n_problems': Value('int64'), 'problem_loops': Value('int64')}), 'total_problems': Value('int64'), 'total_problem_loops': Value('int64'), 'phase2_units': List({'unit': Value('string'), 'bucket': Value('string'), 'phase': Value('int64'), 'max_evolution_loops': Value('int64'), 'LOOPS': Value('int64'), 'n_problems': Value('int64'), 'problem_loops': Value('int64')}), 'phase2_total_problems': Value('int64'), 'phase2_total_problem_loops': Value('int64'), 'phase2_note': 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
problems: list<item: struct<orig_prompt: string, gt: null, candidates: list<item: string>, candidate_groups: l (... 85 chars omitted)
child 0, item: struct<orig_prompt: string, gt: null, candidates: list<item: string>, candidate_groups: list<item: l (... 73 chars omitted)
child 0, orig_prompt: string
child 1, gt: null
child 2, candidates: list<item: string>
child 0, item: string
child 3, candidate_groups: list<item: list<item: null>>
child 0, item: list<item: null>
child 0, item: null
child 4, routing_details: null
child 5, question: string
child 6, options: null
metrics: struct<loop: int64, note: string>
child 0, loop: int64
child 1, note: string
units: list<item: struct<unit: string, bucket: string, max_evolution_loops: int64, LOOPS: int64, n_problems (... 31 chars omitted)
child 0, item: struct<unit: string, bucket: string, max_evolution_loops: int64, LOOPS: int64, n_problems: int64, pr (... 19 chars omitted)
child 0, unit: string
child 1, bucket: string
child 2, max_evolution_loops: int64
child 3, LOOPS: int64
child 4, n_problems: int64
child 5, problem_loops: int64
phase2_total_problem_loops: int64
total_problems: int64
phase2_total_problems: int64
phase2_units: list<item: struct<unit: string, bucket: string, phase: int64, max_evolution_loops: int64, LOOPS: int (... 45 chars omitted)
child 0, item: struct<unit: string, bucket: string, phase: int64, max_evolution_loops: int64, LOOPS: int64, n_probl (... 33 chars omitted)
child 0, unit: string
child 1, bucket: string
child 2, phase: int64
child 3, max_evolution_loops: int64
child 4, LOOPS: int64
child 5, n_problems: int64
child 6, problem_loops: int64
total_problem_loops: int64
phase2_note: string
model: string
to
{'model': Value('string'), 'units': List({'unit': Value('string'), 'bucket': Value('string'), 'max_evolution_loops': Value('int64'), 'LOOPS': Value('int64'), 'n_problems': Value('int64'), 'problem_loops': Value('int64')}), 'total_problems': Value('int64'), 'total_problem_loops': Value('int64'), 'phase2_units': List({'unit': Value('string'), 'bucket': Value('string'), 'phase': Value('int64'), 'max_evolution_loops': Value('int64'), 'LOOPS': Value('int64'), 'n_problems': Value('int64'), 'problem_loops': Value('int64')}), 'phase2_total_problems': Value('int64'), 'phase2_total_problem_loops': Value('int64'), 'phase2_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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Check out the documentation for more information.
round2-rerun-fb — v2 反馈-SE 修复重跑 units（每模型 10 个阶段1 + 5 个阶段2）
用法见 repo 分支 claude/round2-matched-compute 的 docs/ROUND2_RERUN_HANDOFF.zh.md。
阶段1（难桶 0-11）可以开跑；阶段2（12-15，2026-08-06 新增）等阶段1 全部跑完再开。
- loop0 干净直接复用：每 unit 自带 fixed-harness 重过滤的 loop0 checkpoint
（
ck_nonsat/<unit>_loop0.json），runnerresume从 loop1 起，只重跑 evolution。 - 桶纯 unit，两模型同一方案（
unit.env里 LOOPS = 1 + evo loops）： 阶段1：桶 0 = 8 loops ×2 nodes；1-3 = 6 ×2；4-7 = 6 ×2；8-11 = 6 ×4。 阶段2（后跑）：12-15 = 4 loops ×5 nodes（r2rr_<model>_b1215_u00..04）。 20b/manifest.json/120b/manifest.json— 阶段1 在units（20B 2,299 题 / 120B 1,766 题，fixed 非饱和难桶 0-11），阶段2 在phase2_units（20B 3,536 题 / 120B 2,556 题，fixed 12-15）；均无 shard-05、无 broken ids。- runner 在根目录
run_shard_rerun_fb.sh→ 复制到<tts-sft>/handoff/round2/。 - 回传整个 RUN_DIR；判分在我们这边。
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