Dataset Viewer
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Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 88, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6268, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowTypeError: Unable to merge: Field json has incompatible types: struct<producer-0: string, producer-1: string, producer-2: string, producer-3: string, fresh-27m: string, fresh-48m: string, corpus_target_tokens: int64, producer_workers: int64, students: struct<fresh-27m: int64, fresh-48m: int64, existing-216m: int64>, large_parent: string, policy: string, verification: string> vs struct<ready_training_tokens: int64, students: struct<fresh-27m: struct<name: string, tokens: int64, target: int64, step: int64, parameters: int64, first_pass_tokens: int64, corpus_pass: int64, status: string>, fresh-48m: struct<name: string, tokens: int64, target: int64, step: int64, parameters: int64, first_pass_tokens: int64, corpus_pass: int64, status: string>, existing-216m: struct<name: string, tokens: int64, target: int64, step: int64, parameters: int64, status: string>>, active_jobs: list<item: string>, failures: list<item: null>, elapsed_seconds: double>: Unable to merge: Field students has incompatible types: struct<fresh-27m: int64, fresh-48m: int64, existing-216m: int64> vs struct<fresh-27m: struct<name: string, tokens: int64, target: int64, step: int64, parameters: int64, first_pass_tokens: int64, corpus_pass: int64, status: string>, fresh-48m: struct<name: string, tokens: int64, target: int64, step: int64, parameters: int64, first_pass_tokens: int64, corpus_pass: int64, status: string>, existing-216m: struct<name: string, tokens: int64, target: int64, step: int64, parameters: int64, status: string>>: Unable to merge: Field fresh-27m has incompatible types: int64 vs struct<name: string, tokens: int64, target: int64, step: int64, parameters: int64, first_pass_tokens: int64, corpus_pass: int64, status: string>
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
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Stopped Python/math distillation sweep
Private archive of Qwen3-8B generated problems, code and explanations. Producer tar files preserve all accepted chunk JSONL.gz files (text, ids, qwen_ids), raw audits, progress and generation provenance, including uneven producer tails. Syntax checked; semantic correctness unverified. Token totals use the original frozen tokenizer, not Qwen.
checkpoints-and-metadata.tar preserves latest resumable checkpoints, metrics, validation and generations for the 27M, 48M and old 215.9M pilot. Other historical weight snapshots remain on the original Modal volume. The active 215.9M phased run is excluded. File SHA256 hashes and immutable upload revisions are in index.json. No source data was deleted.
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