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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 13 new columns ({'a', 'gamma', 'beta', 'No', 'formula', 'spaceGroupNo', 'alpha', 'c', 'spaceGroup', 'crystalSys', 'b', 'dataId', 'symbolSet'}) and 6 missing columns ({' stored in the train/ and val/ directories respectively. ', '__index_level_3__', '__index_level_2__', '__index_level_1__', '__index_level_0__', 'This data archive contains all of our training and validation data'}).

This happened while the csv dataset builder was generating data using

zip://anno_train.csv::hf://datasets/caobin/datasetCPICANN@1619a8699862d308972d54a14e8d6433581ffcec/D1.zip

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              dataId: string
              No: int64
              formula: string
              symbolSet: string
              spaceGroup: string
              spaceGroupNo: int64
              crystalSys: int64
              a: double
              b: double
              c: double
              alpha: double
              beta: double
              gamma: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1706
              to
              {'This data archive contains all of our training and validation data': Value(dtype='string', id=None), ' stored in the train/ and val/ directories respectively. ': Value(dtype='string', id=None), '__index_level_0__': Value(dtype='string', id=None), '__index_level_1__': Value(dtype='string', id=None), '__index_level_2__': Value(dtype='string', id=None), '__index_level_3__': Value(dtype='string', id=None)}
              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 1415, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 991, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 13 new columns ({'a', 'gamma', 'beta', 'No', 'formula', 'spaceGroupNo', 'alpha', 'c', 'spaceGroup', 'crystalSys', 'b', 'dataId', 'symbolSet'}) and 6 missing columns ({' stored in the train/ and val/ directories respectively. ', '__index_level_3__', '__index_level_2__', '__index_level_1__', '__index_level_0__', 'This data archive contains all of our training and validation data'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://anno_train.csv::hf://datasets/caobin/datasetCPICANN@1619a8699862d308972d54a14e8d6433581ffcec/D1.zip
              
              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.

This data archive contains all of our training and validation data
string
stored in the train/ and val/ directories respectively.
string
__index_level_0__
string
__index_level_1__
string
__index_level_2__
string
__index_level_3__
string
dataId
string
No
int64
formula
string
symbolSet
string
spaceGroup
string
spaceGroupNo
int64
crystalSys
int64
a
float64
b
float64
c
float64
alpha
float64
beta
float64
gamma
float64
crystal system
space group and lattice constants.
Annotations for training and validation data are saved in anno_train.csv and anno_val.csv respectively. The first column of the annotation file is dataId
which consists of the COD ID of the original structure and a serial number. The value of dataId column corresponds to the data file name. The second column is the serial number of the original structure
which is also the classification annotation. The rest of the columns contains other informations about the structure
such as chemical formula
null
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1522982_1
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_2
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_3
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_4
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_5
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_6
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_7
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_8
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_9
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_10
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_11
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_12
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_13
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_14
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_15
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_16
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_17
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_18
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_19
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_20
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_21
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_22
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
90
90
90
null
null
null
null
null
null
1522982_23
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
6.05
6.05
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90
90
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null
null
null
null
null
1522982_24
0
Mn4 Ni8 Sn4
Mn Ni Sn
F-43m
216
0
6.05
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1525299_1
1
V1 Fe0.9 Co2.1
Co Fe V
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1525299_2
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V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
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0
3.579
3.579
3.579
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90
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null
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null
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1525299_3
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V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
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90
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null
null
null
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1525299_4
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
null
1525299_5
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V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
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90
90
null
null
null
null
null
null
1525299_6
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
null
1525299_7
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
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90
90
null
null
null
null
null
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1525299_8
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V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
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90
90
null
null
null
null
null
null
1525299_9
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
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90
90
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null
null
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1525299_10
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V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
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90
90
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null
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null
null
null
1525299_11
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
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0
3.579
3.579
3.579
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90
90
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null
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1525299_12
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V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
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90
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V1 Fe0.9 Co2.1
Co Fe V
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0
3.579
3.579
3.579
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90
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V1 Fe0.9 Co2.1
Co Fe V
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1525299_15
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V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
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90
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1525299_16
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V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
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90
90
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null
null
null
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1525299_17
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V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
null
1525299_18
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
null
1525299_19
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
null
1525299_20
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
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1525299_21
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
null
1525299_22
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
null
1525299_23
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
null
1525299_24
1
V1 Fe0.9 Co2.1
Co Fe V
Pm-3m
221
0
3.579
3.579
3.579
90
90
90
null
null
null
null
null
null
1525266_1
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_2
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_3
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_4
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_5
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_6
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_7
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_8
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_9
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_10
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_11
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_12
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_13
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_14
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_15
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_16
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_17
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_18
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_19
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_20
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_21
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_22
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_23
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
1525266_24
2
Ga1 Fe0.5 Co0.5
Co Fe Ga
Pm-3m
221
0
2.887
2.887
2.887
90
90
90
null
null
null
null
null
null
7115402_1
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_2
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_3
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_4
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_5
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_6
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_7
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_8
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_9
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_10
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_11
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_12
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_13
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_14
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_15
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_16
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_17
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_18
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_19
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_20
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_21
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_22
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_23
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
7115402_24
3
Ag4 C16 N12
Ag C N
Ima2
46
2
8.047
9.871
6.261
90
90
90
null
null
null
null
null
null
1011037_1
4
Co2 S2
Co S
P6_3/mmc
194
4
3.377
3.377
5.15
90
90
120
null
null
null
null
null
null
1011037_2
4
Co2 S2
Co S
P6_3/mmc
194
4
3.377
3.377
5.15
90
90
120
null
null
null
null
null
null
1011037_3
4
Co2 S2
Co S
P6_3/mmc
194
4
3.377
3.377
5.15
90
90
120
End of preview.
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

CPICANN Datasets

This repository contains the data sets described in the CPICANN paper, available at GitHub.

CPICANN is evaluated on four distinguished datasets, denoted as D1, D2, D3, and D4, with the following characteristics:

  • D1: 0% background ratio and Gaussian noise (σ=0.25) (v chosen in paper)
  • D2: 3% background ratio and Gaussian noise (σ=0.25)
  • D3: 0% background ratio and Gaussian noise (σ=1)
  • D4: 0% background ratio and Gaussian noise (σ=3)

Contribution and suggestions are always welcome. You can also contact the authors for research collaboration.

📚 Citation & License

Commercial use is strictly prohibited.
All access will be logged.
If you use this dataset in your research, please cite all the following works:


@article{zhang2024crystallographic,
  title={Crystallographic phase identifier of a convolutional self-attention neural network (CPICANN) on powder diffraction patterns},
  author={Zhang, Shouyang and Cao, Bin and Su, Tianhao and Wu, Yue and Feng, Zhenjie and Xiong, Jie and Zhang, Tong-Yi},
  journal={IUCrJ},
  volume={11},
  number={Pt 4},
  pages={634},
  year={2024}
}

@inproceedings{binsimxrd,
  title={SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark},
  author={Bin, CAO and Liu, Yang and Zheng, Zinan and Tan, Ruifeng and Li, Jia and Zhang, Tong-yi},
  booktitle={The Thirteenth International Conference on Learning Representations}
}
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