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LvlUrArti
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MocData

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1.0.3

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moc

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 5 new columns ({'element', 'level', 'weapon', 'name', 'cons'}) and 8 missing columns ({'ch1', 'star_num', 'ch3', 'ch4', 'node', 'ch2', 'floor', 'round_num'}).

This happened while the csv dataset builder was generating data using

hf://datasets/LvlUrArti/MocData/1.0.3_char.csv (at revision 68fe933edd911a4d565fce6797f7ed8663668e76), ['hf://datasets/LvlUrArti/MocData@68fe933edd911a4d565fce6797f7ed8663668e76/1.0.3_char.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              uid: string
              name: string
              element: string
              level: int64
              cons: int64
              weapon: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 932
              to
              {'uid': Value('string'), 'floor': Value('string'), 'node': Value('int64'), 'round_num': Value('int64'), 'star_num': Value('int64'), 'ch1': Value('string'), 'ch2': Value('string'), 'ch3': Value('string'), 'ch4': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              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 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 5 new columns ({'element', 'level', 'weapon', 'name', 'cons'}) and 8 missing columns ({'ch1', 'star_num', 'ch3', 'ch4', 'node', 'ch2', 'floor', 'round_num'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/LvlUrArti/MocData/1.0.3_char.csv (at revision 68fe933edd911a4d565fce6797f7ed8663668e76), ['hf://datasets/LvlUrArti/MocData@68fe933edd911a4d565fce6797f7ed8663668e76/1.0.3_char.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

uid string	floor string	node int64	round_num int64	star_num int64	ch1 string	ch2 string	ch3 string	ch4 string
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 5	1	16	2	Dan Heng	Bailu	March 7th	Clara
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 5	2	16	2	Seele	Bronya	Natasha	Fire Trailblazer
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 4	1	15	2	Dan Heng	Tingyun	Natasha	Fire Trailblazer
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 4	2	15	2	Seele	Bronya	March 7th	Clara
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 3	1	11	3	Dan Heng	Tingyun	March 7th	Clara
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 3	2	11	3	Seele	Bronya	Natasha	Fire Trailblazer
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 2	1	12	3	Seele	Bronya	Natasha	Fire Trailblazer
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 2	2	12	3	Dan Heng	Tingyun	March 7th	Clara
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 1	1	8	3	Seele	Bronya	Natasha	Fire Trailblazer
1ca0039c218411ee8a8528c2dd2980ba	Favor of Amber Phase 1	2	8	3	Dan Heng	Tingyun	March 7th	Clara
1ca0039d218411ee992e28c2dd2980ba	Favor of Amber Phase 4	1	12	3	Silver Wolf	Natasha	Tingyun	Serval
1ca0039d218411ee992e28c2dd2980ba	Favor of Amber Phase 4	2	12	3	Fire Trailblazer	Asta	Bronya	Seele
1ca0039d218411ee992e28c2dd2980ba	Favor of Amber Phase 3	1	10	3	Fire Trailblazer	Bronya	Tingyun	Seele
1ca0039d218411ee992e28c2dd2980ba	Favor of Amber Phase 3	2	10	3	Hook	Natasha	Asta	Serval
1ca0039d218411ee992e28c2dd2980ba	Favor of Amber Phase 2	1	11	3	Fire Trailblazer	Sampo	Bronya	Seele
1ca0039d218411ee992e28c2dd2980ba	Favor of Amber Phase 2	2	11	3	Serval	Tingyun	Natasha	Hook
1ca0039d218411ee992e28c2dd2980ba	Favor of Amber Phase 1	1	12	3	Fire Trailblazer	Hook	Bronya	Seele
1ca0039d218411ee992e28c2dd2980ba	Favor of Amber Phase 1	2	12	3	Serval	Tingyun	Natasha	Sampo
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 6	1	29	1	Fire Trailblazer	Bailu	Bronya	Seele
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 6	2	29	1	Gepard	Natasha	Jing Yuan	Yanqing
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 5	1	15	2	Fire Trailblazer	Natasha	Bronya	Seele
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 5	2	15	2	Gepard	Jing Yuan	Tingyun	Yanqing
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 4	1	17	2	Fire Trailblazer	Bailu	Bronya	Seele
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 4	2	17	2	Gepard	Jing Yuan	Tingyun	Yanqing
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 3	1	9	3	Gepard	Tingyun	Yanqing	Jing Yuan
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 3	2	9	3	Fire Trailblazer	Bailu	Bronya	Seele
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 2	1	9	3	Gepard	Natasha	Yanqing	Seele
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 2	2	9	3	Fire Trailblazer	Jing Yuan	Bailu	Tingyun
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 1	1	11	3	Fire Trailblazer	Natasha	Bronya	Seele
1ca0039e218411eeb93928c2dd2980ba	Favor of Amber Phase 1	2	11	3	Gepard	Bailu	Tingyun	Jing Yuan
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 5	1	18	1	Fire Trailblazer	Clara	Dan Heng	Natasha
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 5	2	18	1	Gepard	Jing Yuan	Tingyun	Asta
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 4	1	18	2	Gepard	Jing Yuan	Dan Heng	Asta
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 4	2	18	2	Clara	Fire Trailblazer	Tingyun	Natasha
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 3	1	17	2	Gepard	Jing Yuan	Tingyun	Natasha
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 3	2	17	2	Fire Trailblazer	Clara	Dan Heng	Asta
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 2	1	12	3	Fire Trailblazer	Clara	Dan Heng	Asta
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 2	2	12	3	Gepard	Jing Yuan	Tingyun	March 7th
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 1	1	12	3	Clara	March 7th	Asta	Dan Heng
1ca0039f218411ee90c428c2dd2980ba	Favor of Amber Phase 1	2	12	3	Gepard	Jing Yuan	Tingyun	Natasha
1ca003a0218411eea3e928c2dd2980ba	Favor of Amber Phase 2	1	23	1	Dan Heng	Himeko	Sushang	Natasha
1ca003a0218411eea3e928c2dd2980ba	Favor of Amber Phase 2	2	23	1	Yanqing	Serval	Fire Trailblazer	March 7th
1ca003a0218411eea3e928c2dd2980ba	Favor of Amber Phase 1	1	17	2	Dan Heng	Himeko	Serval	Natasha
1ca003a0218411eea3e928c2dd2980ba	Favor of Amber Phase 1	2	17	2	Yanqing	Sushang	Fire Trailblazer	March 7th
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 5	1	18	1	Seele	Dan Heng	Natasha	Gepard
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 5	2	18	1	Jing Yuan	Fire Trailblazer	Serval	Welt
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 4	1	18	2	Dan Heng	Seele	Serval	Natasha
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 4	2	18	2	Jing Yuan	Welt	Gepard	Physical Trailblazer
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 3	1	13	2	Gepard	Jing Yuan	Welt	Serval
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 3	2	13	2	Dan Heng	Seele	Fire Trailblazer	Natasha
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 2	1	11	3	Welt	Fire Trailblazer	Pela	Seele
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 2	2	11	3	Jing Yuan	Gepard	Dan Heng	Serval
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 1	1	11	3	Seele	Dan Heng	Serval	Natasha
1ca003a1218411ee948128c2dd2980ba	Favor of Amber Phase 1	2	11	3	Jing Yuan	Welt	Gepard	Physical Trailblazer
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 5	1	24	0	Fire Trailblazer	Natasha	Seele	null
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 5	2	24	0	Gepard	Welt	Jing Yuan	Tingyun
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 4	1	23	1	Fire Trailblazer	Natasha	Seele	null
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 4	2	23	1	Gepard	Welt	Jing Yuan	Tingyun
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 3	1	14	2	Gepard	Welt	Jing Yuan	Tingyun
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 3	2	14	2	Fire Trailblazer	Natasha	Seele	null
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 2	1	14	2	Fire Trailblazer	Natasha	Seele	null
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 2	2	14	2	Gepard	Welt	Jing Yuan	Tingyun
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 1	1	11	3	Fire Trailblazer	Natasha	Seele	null
1ca003a2218411eeb3be28c2dd2980ba	Favor of Amber Phase 1	2	11	3	Gepard	Welt	Jing Yuan	Tingyun
1ca003a3218411eea71c28c2dd2980ba	Favor of Amber Phase 4	1	17	1	Silver Wolf	Fire Trailblazer	Tingyun	Serval
1ca003a3218411eea71c28c2dd2980ba	Favor of Amber Phase 4	2	17	1	Clara	March 7th	Natasha	Hook
1ca003a3218411eea71c28c2dd2980ba	Favor of Amber Phase 3	1	18	2	Silver Wolf	Natasha	Tingyun	Serval
1ca003a3218411eea71c28c2dd2980ba	Favor of Amber Phase 3	2	18	2	Hook	Fire Trailblazer	Clara	March 7th
1ca003a3218411eea71c28c2dd2980ba	Favor of Amber Phase 2	1	18	2	Fire Trailblazer	March 7th	Tingyun	Hook
1ca003a3218411eea71c28c2dd2980ba	Favor of Amber Phase 2	2	18	2	Serval	Clara	Natasha	Silver Wolf
1ca003a3218411eea71c28c2dd2980ba	Favor of Amber Phase 1	1	11	3	Silver Wolf	Tingyun	Seele	Fire Trailblazer
1ca003a3218411eea71c28c2dd2980ba	Favor of Amber Phase 1	2	11	3	Clara	Natasha	March 7th	Serval
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase <unbreak>10</unbreak>	1	23	1	Gepard	Bailu	Pela	Jing Yuan
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase <unbreak>10</unbreak>	2	23	1	Fire Trailblazer	Natasha	Seele	Bronya
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 9	1	26	2	Fire Trailblazer	Natasha	Seele	Asta
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 9	2	26	2	Gepard	Bailu	Jing Yuan	Tingyun
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 8	1	22	2	Fire Trailblazer	Natasha	Seele	Tingyun
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 8	2	22	2	Gepard	Bailu	Jing Yuan	Sushang
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 7	1	15	3	Fire Trailblazer	Natasha	Seele	Asta
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 7	2	15	3	Gepard	Bailu	Jing Yuan	Tingyun
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 6	1	12	3	Fire Trailblazer	Natasha	Sushang	Seele
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 6	2	12	3	Gepard	Bailu	Jing Yuan	Tingyun
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 5	1	9	3	Gepard	Natasha	Seele	Tingyun
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 5	2	9	3	Fire Trailblazer	Bailu	Jing Yuan	Asta
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 4	1	10	3	Fire Trailblazer	Bailu	Seele	Jing Yuan
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 4	2	10	3	Gepard	Natasha	Sushang	Tingyun
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 3	1	11	3	Gepard	Natasha	Jing Yuan	Sushang
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 3	2	11	3	Fire Trailblazer	Bailu	Asta	Seele
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 2	1	7	3	Fire Trailblazer	Natasha	Asta	Seele
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 2	2	7	3	Gepard	Bailu	Jing Yuan	Tingyun
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 1	1	4	3	Gepard	Bailu	Bronya	Seele
1ca003a4218411eeaf2a28c2dd2980ba	Favor of Amber Phase 1	2	4	3	Fire Trailblazer	Natasha	Jing Yuan	Tingyun
1ca003a5218411ee98e228c2dd2980ba	Favor of Amber Phase 4	1	21	1	Fire Trailblazer	Natasha	Welt	Dan Heng
1ca003a5218411ee98e228c2dd2980ba	Favor of Amber Phase 4	2	21	1	March 7th	Bailu	Tingyun	Seele
1ca003a5218411ee98e228c2dd2980ba	Favor of Amber Phase 3	1	21	1	Fire Trailblazer	Natasha	Welt	Dan Heng
1ca003a5218411ee98e228c2dd2980ba	Favor of Amber Phase 3	2	21	1	March 7th	Bailu	Tingyun	Seele
1ca003a5218411ee98e228c2dd2980ba	Favor of Amber Phase 2	1	20	2	Fire Trailblazer	Natasha	Welt	Dan Heng
1ca003a5218411ee98e228c2dd2980ba	Favor of Amber Phase 2	2	20	2	March 7th	Bailu	Tingyun	Seele
1ca003a5218411ee98e228c2dd2980ba	Favor of Amber Phase 1	1	14	2	Fire Trailblazer	Natasha	Tingyun	Dan Heng
1ca003a5218411ee98e228c2dd2980ba	Favor of Amber Phase 1	2	14	2	March 7th	Bailu	Welt	Seele

End of preview.

MocData

Used alongside my data compilation repository. Feel free to analyze the data and post the findings. If you do, please credit me (LvlUrArti).

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