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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 |
|---|---|---|
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/4/dev | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/4/test | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/4/train | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/3/dev | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/3/test | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/3/train | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/1/dev | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/1/test | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/1/train | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/ace_b0_perm4/0/dev | hf://datasets/datht/processed-cl-ace@411e13fe773888156f196682b6b43e5cb564502a/ace_all.tar.gz |
End of preview.
processed-cl-ace
ACE05 continual event extraction, 5 permutations x 5 tasks, already tokenised for Qwen3-0.6B, so nothing has to be built or processed after downloading.
Three variants, all sharing the same task order, the same task-0 training set and the same cumulative dev/test sets, so their numbers are directly comparable:
| prefix | what it changes |
|---|---|
ace_b10_perm |
the standard setting: replay buffer of 10 per earlier label |
ace_b0_perm |
no rehearsal at all (buffer 0) |
ace_oracle_b10_perm |
no label stripping: a new-task sentence keeps its old-type events |
The oracle differs only in the training responses. On perm0 task1, 37 of its sentences carry both a new-type and an old-type event, where the standard split has none.
Layout mirrors the OpenED repo, so each file goes to the same relative path:
data/<prefix>{0..4}/streams.json— the event types of each task, in stream orderdata/<prefix>{0..4}/{0..4}/{train,dev,test}.jsonl— the task split ({system_prompt, user_prompt, response}). The pseudo-labelling and self-distillation stages read these, so they are needed even though the tokenised copies exist.processed_data/<prefix>{0..4}/{0..4}/qwen/—tools/process_data.pyoutput (train_0.bin/.idx, plusvalidandtest), built with--max-prompt-length 460 --t-max-prompt-length 640 --dev-num 1000.
Built from datht/cl-ace with tools/build_ced_perms.py, seed 42
(--cap 10, --cap 0, and --cap 10 --oracle).
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