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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 1400, 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 977, 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.
ipynb unknown | __key__ string | __url__ string |
|---|---|---|
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... | baseline/notebooks/AI4Code_cafelatte1_catboost-ranker-inference_v24_C1 | hf://datasets/BihuiJ/MLEModernizer@47e3312760cbfc5bc328290c7856256f891c0e20/archives/baseline.tar.gz |
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... | baseline/notebooks/AI4Code_cafelatte1_catboost-ranker-inference_v26_C1 | hf://datasets/BihuiJ/MLEModernizer@47e3312760cbfc5bc328290c7856256f891c0e20/archives/baseline.tar.gz |
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99,... | baseline/notebooks/AI4Code_corneliuskristianto_google-ai4code-reconstruct-the-order_v6_C1 | hf://datasets/BihuiJ/MLEModernizer@47e3312760cbfc5bc328290c7856256f891c0e20/archives/baseline.tar.gz |
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99,... | baseline/notebooks/AI4Code_harshwalia_ai4code-v1-easy-explanation-all-data_v1_C1 | hf://datasets/BihuiJ/MLEModernizer@47e3312760cbfc5bc328290c7856256f891c0e20/archives/baseline.tar.gz |
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99,... | baseline/notebooks/AI4Code_jazivxt_code-theory_v11_C1 | hf://datasets/BihuiJ/MLEModernizer@47e3312760cbfc5bc328290c7856256f891c0e20/archives/baseline.tar.gz |
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"eyJtZXRhZGF0YSI6eyJrZXJuZWxzcGVjIjp7Imxhbmd1YWdlIjoicHl0aG9uIiwiZGlzcGxheV9uYW1lIjoiUHl0aG9uIDMiLCJ(...TRUNCATED) | baseline/notebooks/AI4Code_kimnnm_roberta-base-inference_v10_C1 | "hf://datasets/BihuiJ/MLEModernizer@47e3312760cbfc5bc328290c7856256f891c0e20/archives/baseline.tar.g(...TRUNCATED) |
"ewogImNlbGxzIjogWwogIHsKICAgImNlbGxfdHlwZSI6ICJjb2RlIiwKICAgImV4ZWN1dGlvbl9jb3VudCI6IG51bGwsCiAgICJ(...TRUNCATED) | baseline/notebooks/AI4Code_mr0106_googel-a14code_v3_C1 | "hf://datasets/BihuiJ/MLEModernizer@47e3312760cbfc5bc328290c7856256f891c0e20/archives/baseline.tar.g(...TRUNCATED) |
"ewogImNlbGxzIjogWwogIHsKICAgImNlbGxfdHlwZSI6ICJjb2RlIiwKICAgImV4ZWN1dGlvbl9jb3VudCI6IG51bGwsCiAgICJ(...TRUNCATED) | baseline/notebooks/AI4Code_santosh1974_ai4code-first_v2_C1 | "hf://datasets/BihuiJ/MLEModernizer@47e3312760cbfc5bc328290c7856256f891c0e20/archives/baseline.tar.g(...TRUNCATED) |
End of preview.
MLEModernizer replication data
This dataset repository stores the data portion of the replication package for the GitHub source repository. Clone the GitHub repository first, download this repository into the checkout, then unpack every bundle in place:
for archive in archives/*.tar.gz; do tar -xzf "$archive" -C .; done
.kaggle/holds the raw Meta Kaggle and Meta Kaggle Code zips.archives/holds the notebooks and execution outputs as.tar.gzbundles whose member paths are relative to the repository root;archives/INDEX.tsvlists every bundle.
The tag legacy-full-repo-2026-07-24 preserves the earlier full-repository
snapshot.
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