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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.
jsonl unknown | __key__ string | __url__ string |
|---|---|---|
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/4/dev | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/4/test | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/4/train | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/3/dev | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/3/test | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/3/train | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/1/dev | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/1/test | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/1/train | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
"eyJzeXN0ZW1fcHJvbXB0IjogIllvdSBhcmUgYW4gb3Blbi1kb21haW4gZXZlbnQgZXh0cmFjdGlvbiBzeXN0ZW0uIFlvdXIgdGF(...TRUNCATED) | data/maven_b10_perm0/0/dev | hf://datasets/datht/processed-cl-maven@5758a5a3b691f923375babc32a08621ae16b7570/maven_all.tar.gz |
End of preview.
processed-cl-maven
MAVEN continual event extraction, 5 permutations x 5 tasks, already tokenised for Qwen3-0.6B,
so nothing has to be built or processed after downloading. One archive, maven_all.tar.gz;
unpack it at the root of the OpenED repo.
These are the exact splits behind the MAVEN runs so far: the jsonl files are byte-identical
to datht/cl-maven.
- 168 event types in 5 disjoint tasks (33, 34, 34, 33, 34 types in perm0 order).
- Types were assigned greedily, most frequent first, to the task with the fewest training events so far. This is not KT's published partition.
- The five task orders are KT's (Yu et al., 2021), as for ACE.
- Replay buffer of 10 sentences per earlier type (
b10). - Triggers only: MAVEN has no argument annotation.
Layout mirrors the OpenED repo, so each file goes to the same relative path:
data/maven_b10_perm{0..4}/streams.json: the event types of each task, in stream orderdata/maven_b10_perm{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/maven_b10_perm{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.
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