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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
py unknown | __key__ string | __url__ string |
|---|---|---|
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... | scripts/train/train_lora | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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... | src/data/mixture/balanced_subset | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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... | src/data/mixture/build_mixture | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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1... | src/data/mixture/convert_synthdoc_qwen | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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... | src/data/mixture/prepare_tulu | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
null | src/data/synthdoc/README | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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67... | src/data/synthdoc/cells | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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97... | src/data/synthdoc/checks | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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... | src/data/synthdoc/cli | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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116,
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110... | src/data/synthdoc/constitution | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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... | src/data/synthdoc/core | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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... | src/data/synthdoc/hf_cache | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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110... | src/data/synthdoc/operators | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
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... | src/data/synthdoc/pipeline | hf://datasets/dougalldeepmind/2026-08-07-memory-self-h-200-x4-code@bd33078e82650dba1586fb96ee667869b6d295a7/code.tar.gz |
End of preview.
Training bundle — table2-80 / memself-20 (4xH200)
code.tar.gz only: the trainer, src/ and configs/. The mixture is pulled separately
from LASR-Callum/2026-08-06-qwen36-table2-80-memory-self-20-10k-train-mixture.
| field | value |
|---|---|
experiment |
Code bundle for the 1-epoch LoRA SFT of Qwen/Qwen3.6-27B on 8,000 Table-2 rows + 2,000 model-eval-model self docs |
date_generated |
2026-08-07 |
constitution |
claude_distilled_09_principles_mid_20260804 — via the mixture's 20% side; see the mixture card |
source_repo |
teaching_claude_why_replication @ 3ae24710212b173d26189ddd994130f72b53cdee |
models |
trains Qwen/Qwen3.6-27B |
generation_config |
n/a — this repo carries code, not generated data |
schema |
code.tar.gz: scripts/train/train_lora.py, src/, configs/ |
provenance |
uv run python scratch/launch_memself_h200x4.py bundle |
Training config inside the tarball: configs/train/2026-08-25_lora_qwen36_table2_80_memory_self_20.yaml.
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