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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.
jsonl unknown | __key__ string | __url__ string |
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34,... | batches/batch-00004 | hf://datasets/JonesLin/next-jev-choice-cot-200k@4e6d71f8fb66f2b65168c76b5e97a8c2de3be62e/tasks/batches.tar.gz |
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1... | batches/batch-00010 | hf://datasets/JonesLin/next-jev-choice-cot-200k@4e6d71f8fb66f2b65168c76b5e97a8c2de3be62e/tasks/batches.tar.gz |
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End of preview.
Choice questions for teacher CoT (200k)
200,000 questions sampled (seed 0) from the 307,504-row next JEV choice training set, built by
scripts/build_choice_train_set.py (github.com/JonnesLin/next_jev, commit 26547cb) from the train
splits behind the next JEV decision test set (JonesLin/next-jev-laya-test); the pack is made by
scripts/choice_cot_tasks.py make. A teacher writes reasoning and an answer key for each question;
verify.py keeps only answers equal to the gold key.
| Family | Questions |
|---|---|
| massive_scenario | 65,307 |
| massive_intent | 65,055 |
| app | 31,067 |
| en | 29,789 |
| jev | 6,465 |
| typed_decisions | 2,317 |
Question types: {'choice': 166423, 'noul': 33577} (noul questions are shown as false/true options). Options per question: 2 to 77 (MASSIVE intent samples 10 to 50 of its 60 labels; others show every label).
Layout
| Path | Give to teacher agents? | Content |
|---|---|---|
tasks/PROMPT.md |
yes | Worker instructions |
tasks/batches.tar.gz |
yes | 25,000 batches of 8 (batches/batch-00000.jsonl ...) |
tasks/queue.py |
yes | Queue helper: hands out batches, checks output format (never sees answers) |
tasks/items.jsonl |
yes | All items: id, prompt, options (option keys; no answers) |
grading/answers.jsonl |
no | id, gold answer key |
grading/meta.jsonl |
no | dataset, question type, option count |
verify.py |
no | The verifier |
Run
One worker (subagent) per batch; a coordinator keeps 16 workers running. A worker writes
outputs/batch-NNNNN.json: a JSON array of {"id", "reasoning", "answer"}, one object per item.
Put only tasks/ in the agents' workspace. Teacher outputs are uploaded to teacher/<model>/ as tar.gz.
tar xzf tasks/batches.tar.gz -C tasks
python3 tasks/queue.py next 16 --first 0 --last 24999 # claim batches, print their names
python3 tasks/queue.py check batch-00042 # when a worker ends; bad file: deleted, requeued (3 tries)
python3 tasks/queue.py status
python3 tasks/queue.py release # after a restart, with no worker running
python verify.py --outputs outputs --out kept.jsonl # needs grading/
Kept only when the answer equals the gold key and the reasoning is not empty. Source dataset licenses apply (toxic-chat and MS MARCO are non-commercial).
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