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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
version: int64
owner: string
files: list<item: struct<path: string, sha256: string, bytes: int64>>
child 0, item: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
datasets: struct<sft_n3Lgroot3_4_nt: struct<path: string, rows: int64, problems: int64, sha256: string>, sft_n (... 1538 chars omitted)
child 0, sft_n3Lgroot3_4_nt: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 1, sft_n3Lgroot3_4_nt_val: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 2, rft_n3Lgroot3_4_nt: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 3, rft_n3Lgroot3_4_nt_val: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 4, anti_n3Lgroot3_4_nt: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 5, anti_n3Lgroot3_4_nt_v
...
child 6, LORA_ALPHA: string
child 7, LORA_DROPOUT: string
child 8, NUM_TRAIN_EPOCHS: string
child 9, LEARNING_RATE: string
child 10, PER_DEVICE_TRAIN_BATCH_SIZE: string
child 11, GRADIENT_ACCUMULATION_STEPS: string
child 12, PER_DEVICE_EVAL_BATCH_SIZE: string
child 13, MAX_LENGTH: string
child 14, LOAD_BEST_MODEL_AT_END: string
child 15, METRIC_FOR_BEST_MODEL: string
child 16, GREATER_IS_BETTER: string
child 17, USE_LIGER_KERNEL: string
child 18, USE_PEFT: string
child 19, USE_ACCELERATE: string
child 20, USE_FSDP: string
child 21, USE_DEEPSPEED: string
child 22, REPORT_TO: string
child 23, WANDB_PROJECT: string
child 24, PRESERVE_PROBLEM_ORDER: string
child 25, SHUFFLE_PROBLEM_BLOCKS_EACH_EPOCH: string
model: struct<repo_id: string, revision: string, config_sha256: string>
child 0, repo_id: string
child 1, revision: string
child 2, config_sha256: string
seed_evidence: string
dependency_versions_observed_on_eai: struct<torch: string, transformers: string, trl: string, peft: string, accelerate: string, datasets: (... 85 chars omitted)
child 0, torch: string
child 1, transformers: string
child 2, trl: string
child 3, peft: string
child 4, accelerate: string
child 5, datasets: string
child 6, flash_attn: string
child 7, liger_kernel: string
child 8, wandb: string
child 9, tokenizers: string
dependency_note: string
schedule: string
return_contract: string
bytes: int64
manifest_sha256: string
archive_sha256: string
to
{'archive_sha256': Value('string'), 'manifest_sha256': Value('string'), 'bytes': Value('int64'), 'assignments': Value('int64'), 'files': 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
version: int64
owner: string
files: list<item: struct<path: string, sha256: string, bytes: int64>>
child 0, item: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
datasets: struct<sft_n3Lgroot3_4_nt: struct<path: string, rows: int64, problems: int64, sha256: string>, sft_n (... 1538 chars omitted)
child 0, sft_n3Lgroot3_4_nt: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 1, sft_n3Lgroot3_4_nt_val: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 2, rft_n3Lgroot3_4_nt: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 3, rft_n3Lgroot3_4_nt_val: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 4, anti_n3Lgroot3_4_nt: struct<path: string, rows: int64, problems: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, problems: int64
child 3, sha256: string
child 5, anti_n3Lgroot3_4_nt_v
...
child 6, LORA_ALPHA: string
child 7, LORA_DROPOUT: string
child 8, NUM_TRAIN_EPOCHS: string
child 9, LEARNING_RATE: string
child 10, PER_DEVICE_TRAIN_BATCH_SIZE: string
child 11, GRADIENT_ACCUMULATION_STEPS: string
child 12, PER_DEVICE_EVAL_BATCH_SIZE: string
child 13, MAX_LENGTH: string
child 14, LOAD_BEST_MODEL_AT_END: string
child 15, METRIC_FOR_BEST_MODEL: string
child 16, GREATER_IS_BETTER: string
child 17, USE_LIGER_KERNEL: string
child 18, USE_PEFT: string
child 19, USE_ACCELERATE: string
child 20, USE_FSDP: string
child 21, USE_DEEPSPEED: string
child 22, REPORT_TO: string
child 23, WANDB_PROJECT: string
child 24, PRESERVE_PROBLEM_ORDER: string
child 25, SHUFFLE_PROBLEM_BLOCKS_EACH_EPOCH: string
model: struct<repo_id: string, revision: string, config_sha256: string>
child 0, repo_id: string
child 1, revision: string
child 2, config_sha256: string
seed_evidence: string
dependency_versions_observed_on_eai: struct<torch: string, transformers: string, trl: string, peft: string, accelerate: string, datasets: (... 85 chars omitted)
child 0, torch: string
child 1, transformers: string
child 2, trl: string
child 3, peft: string
child 4, accelerate: string
child 5, datasets: string
child 6, flash_attn: string
child 7, liger_kernel: string
child 8, wandb: string
child 9, tokenizers: string
dependency_note: string
schedule: string
return_contract: string
bytes: int64
manifest_sha256: string
archive_sha256: string
to
{'archive_sha256': Value('string'), 'manifest_sha256': Value('string'), 'bytes': Value('int64'), 'assignments': Value('int64'), 'files': 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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