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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
type: int64
mouseX: int64
mouseY: int64
time: double
keyCode: int64
mouseButton: string
fps: double
to
{'time': Value('string'), 'fps': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table 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/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
type: int64
mouseX: int64
mouseY: int64
time: double
keyCode: int64
mouseButton: string
fps: double
to
{'time': Value('string'), 'fps': Value('float64')}
because column names don't match
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 1683, 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 1869, 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.
time string | fps float64 |
|---|---|
2026-05-01 18:15:01.140 | 28.254733 |
2026-05-01 18:15:03.098 | 29.994275 |
2026-05-01 18:15:04.111 | 30.007755 |
2026-05-01 18:15:05.122 | 30.000816 |
2026-05-01 18:15:06.134 | 30.001874 |
2026-05-01 18:15:07.145 | 30.003474 |
2026-05-01 18:15:08.158 | 29.998114 |
2026-05-01 18:15:09.170 | 29.982932 |
2026-05-01 18:15:10.181 | 29.987138 |
2026-05-01 18:15:11.195 | 30.014788 |
2026-05-01 18:15:12.208 | 29.999844 |
2026-05-01 18:15:13.220 | 30.021221 |
2026-05-01 18:15:14.225 | 30.004007 |
2026-05-01 18:15:15.236 | 30.012957 |
2026-05-01 18:15:16.247 | 29.99616 |
2026-05-01 18:15:17.257 | 29.988445 |
2026-05-01 18:15:18.271 | 29.986967 |
2026-05-01 18:15:19.283 | 29.976397 |
2026-05-01 18:15:20.288 | 29.976993 |
2026-05-01 18:15:21.301 | 30.012402 |
2026-05-01 18:15:22.314 | 30.009922 |
2026-05-01 18:15:23.321 | 30.001152 |
2026-05-01 18:15:24.322 | 29.976971 |
2026-05-01 18:15:25.333 | 30.01385 |
2026-05-01 18:15:26.341 | 30.003098 |
2026-05-01 18:15:27.354 | 29.984116 |
2026-05-01 18:15:28.368 | 29.976582 |
2026-05-01 18:15:29.368 | 30.015419 |
2026-05-01 18:15:30.368 | 29.992114 |
2026-05-01 18:15:31.368 | 30.006386 |
2026-05-01 18:15:32.369 | 29.990427 |
2026-05-01 18:15:33.371 | 29.991435 |
2026-05-01 18:15:34.381 | 29.99848 |
2026-05-01 18:15:35.397 | 30.000669 |
2026-05-01 18:15:36.401 | 29.984274 |
2026-05-01 18:15:38.397 | 29.998877 |
2026-05-01 18:15:39.412 | 30.005613 |
2026-05-01 18:15:40.425 | 30.008645 |
2026-05-01 18:15:41.439 | 30.015897 |
2026-05-01 18:15:42.440 | 30.010299 |
2026-05-01 18:15:43.452 | 29.985079 |
2026-05-01 18:15:44.463 | 30.004424 |
2026-05-01 18:15:45.464 | 30.001261 |
2026-05-01 18:15:46.473 | 30.002965 |
2026-05-01 18:15:47.483 | 30.00857 |
2026-05-01 18:15:48.494 | 30.011764 |
2026-05-01 18:15:49.507 | 30.020851 |
2026-05-01 18:15:50.519 | 30.00217 |
2026-05-01 18:15:51.533 | 29.991018 |
2026-05-01 18:15:52.533 | 29.996003 |
2026-05-01 18:15:53.546 | 30.003017 |
2026-05-01 18:15:54.560 | 30.035808 |
2026-05-01 18:15:55.575 | 30.00902 |
2026-05-01 18:15:56.578 | 29.993998 |
2026-05-01 18:15:57.580 | 30.005014 |
2026-05-01 18:15:58.583 | 30.004053 |
2026-05-01 18:15:59.597 | 30.008752 |
2026-05-01 18:16:00.610 | 30.005425 |
2026-05-01 18:16:01.624 | 29.981146 |
2026-05-01 18:16:02.639 | 29.986705 |
2026-05-01 18:16:03.649 | 30.003041 |
2026-05-01 18:16:04.660 | 29.999091 |
2026-05-01 18:16:05.661 | 30.011372 |
2026-05-01 18:16:06.675 | 30.014207 |
2026-05-01 18:16:07.675 | 30.003917 |
2026-05-01 18:16:08.681 | 30.004066 |
2026-05-01 18:16:09.695 | 30.004663 |
2026-05-01 18:16:10.708 | 30.007632 |
2026-05-01 18:16:11.719 | 29.991765 |
2026-05-01 18:16:12.733 | 29.993684 |
2026-05-01 18:16:13.746 | 29.984589 |
2026-05-01 18:16:14.756 | 30.000502 |
2026-05-01 18:16:15.771 | 30.009364 |
2026-05-01 18:16:16.783 | 30.009095 |
2026-05-01 18:16:17.796 | 30.007636 |
2026-05-01 18:16:18.809 | 29.976569 |
2026-05-01 18:16:19.823 | 29.985885 |
2026-05-01 18:16:20.836 | 29.982666 |
2026-05-01 18:16:21.850 | 29.984641 |
2026-05-01 18:16:22.860 | 30.009185 |
2026-05-01 18:16:23.874 | 30.013705 |
2026-05-01 18:16:24.886 | 30.001103 |
2026-05-01 18:16:25.900 | 30.011801 |
2026-05-01 18:16:26.912 | 30.020853 |
2026-05-01 18:16:27.925 | 29.994225 |
2026-05-01 18:16:28.927 | 29.988821 |
2026-05-01 18:16:29.937 | 29.987705 |
2026-05-01 18:16:30.951 | 29.989296 |
2026-05-01 18:16:31.962 | 30.00352 |
2026-05-01 18:16:32.965 | 30.000991 |
2026-05-01 18:16:33.965 | 30.010218 |
2026-05-01 18:16:34.975 | 30.006004 |
2026-05-01 18:16:35.989 | 30.0047 |
2026-05-01 18:16:36.993 | 30.001641 |
2026-05-01 18:16:38.003 | 30.010139 |
2026-05-01 18:16:39.014 | 30.00866 |
2026-05-01 18:16:40.028 | 29.974512 |
2026-05-01 18:16:41.041 | 29.98391 |
2026-05-01 18:16:42.055 | 29.96917 |
2026-05-01 18:16:43.069 | 29.98948 |
End of preview.
艾尔登法环
This public dataset repository contains gameplay trace data uploaded from F:\艾尔登法环.
Contents
- Files: 43
- Total local size: 34.20 GB
- Generated: 2026-06-14T04:00:49+00:00
File Types
.jsonl: 12.png: 10.json: 10.parquet: 3.mkv: 3.txt: 3.exe: 2
Notes
- This repository may contain gameplay video, Parquet files, JSON/JSONL metadata, and input event logs.
- The license is marked as
other; review game footage, audio, and asset rights before reuse.
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