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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'publicGameModifiers' with no child field to Parquet. Consider adding a dummy child field.
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'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1562, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 786, in finalize
self._build_writer(self.schema)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
self.pa_writer = pq.ParquetWriter(
~~~~~~~~~~~~~~~~^
self.stream,
^^^^^^^^^^^^
...<9 lines>...
},
^^
)
^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 1082, in __init__
self.writer = _parquet.ParquetWriter(
~~~~~~~~~~~~~~~~~~~~~~^
sink, schema,
^^^^^^^^^^^^^
...<20 lines>...
max_rows_per_page=max_rows_per_page,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
**options)
^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2374, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'publicGameModifiers' with no child field to Parquet. Consider adding a dummy child field.
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.
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|---|---|---|---|---|---|---|
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End of preview.
OpenFront-KI — materialisierte Partien
2686 öffentliche Partien von OpenFront.io, nachgespielt in der echten Spiel-Engine (v0.34) und in ein Trainingsformat übersetzt. Für jede Entscheidung eines Spielers steht hier die Beobachtung, die er hatte, und die Aktion, die er gewählt hat.
Der Datensatz stammt aus einem eingestellten Projekt: einem Reinforcement-Learning-Agenten für OpenFront. Code, Netze und Ergebnisse liegen unter https://github.com/Silvertree2010/OpenFrontData. Wer daran weiterarbeiten will, spart sich mit diesem Datensatz den teuersten Schritt, das Materialisieren.
Aufbau
Die Daten liegen als 40 Pakete partien_NNN.tar.zst mit je etwa 68 Partien. Entpacken:
tar -I zstd -xf partien_000.tar.zst
Je Partie fünf Dateien, Format v2:
| Datei | Inhalt |
|---|---|
<gid>.meta.zst |
zstd-komprimiertes JSONL, eine Zeile je Entscheidung: Tick, Spieler, Gold, Truppen, Gegner, gewählte Aktion (lab), Zellzeiger |
<gid>.cells |
die Zellfakten je Entscheidung, binär |
<gid>.maps |
die Kartenebenen der Partie |
<gid>.hdr.json |
Kopf: Karte, Konfiguration, Spielerliste, Ergebnis |
<gid>.ok |
Prüfsumme und Zählwerte, erst vorhanden, wenn die Partie sauber durchlief |
Wie die Felder gemeint sind, steht im Repository unter docs/MECHANIK.md und docs/ACTIONS.md.
Verarbeitet werden die Pakete dort mit materializer/ und trainer/.
Wie die Daten entstanden sind
- Öffentliche Partien über die OpenFront-API sammeln, dazu gezielt Partien der Spitzenspieler.
- Jede Partie in der Engine deterministisch nachspielen (
materializer/), alle 200 Ticks zusätzlich eine Nichtstun-Zeile, damit das Netz auch lernt, wann nichts zu tun ist. - Nur Partien behalten, die ohne Desynchronisation durchliefen.
Grenzen
- Nur Engine-Version v0.34. Ältere oder neuere Spielstände passen nicht dazu.
- Die Beobachtung ist auf das zugeschnitten, was das Projekt brauchte; sie ist kein vollständiger Spielzustand.
- Spielernamen stehen in den Kopfdateien, weil das Netz die Reputation eines Namens als Eingabe nutzt. Es sind die öffentlichen Pseudonyme aus dem Spiel.
Lizenz
CC BY 4.0 für die Aufbereitung. Die zugrunde liegenden Partien sind öffentliche Spieldaten von OpenFront.io und gehören ihren jeweiligen Urhebern.
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