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 108 new columns ({'drug1_cluster_birch_13', 'drug2_cluster_agglomerative_13', 'drug2_cluster_birch_14', 'drug1_cluster_agglomerative_16', 'drug2_cluster_kmeans_19', 'drug2_cluster_birch_17', 'drug1_cluster_agglomerative_6', 'drug1_cluster_kmeans_17', 'drug1_cluster_kmeans_18', 'drug1_cluster_kmeans_20', 'drug2_cluster_kmeans_14', 'drug2_cluster_birch_5', 'drug2_cluster_agglomerative_17', 'drug1_cluster_agglomerative_11', 'drug2_cluster_birch_18', 'drug1_cluster_birch_8', 'drug2_cluster_agglomerative_7', 'drug1_cluster_agglomerative_15', 'drug1_cluster_birch_20', 'Frequency', 'drug1_cluster_agglomerative_20', 'drug2_cluster_kmeans_8', 'drug1_cluster_birch_18', 'drug1_cluster_agglomerative_12', 'drug2_cluster_agglomerative_20', 'drug2_cluster_agglomerative_18', 'drug2_cluster_kmeans_9', 'drug1_cluster_birch_9', 'drug2_cluster_agglomerative_10', 'drug2_cluster_agglomerative_15', 'drug1_cluster_kmeans_9', 'drug2_cluster_birch_9', 'drug1_cluster_agglomerative_18', 'drug1_cluster_kmeans_13', 'drug1_cluster_agglomerative_5', 'drug2_cluster_birch_16', 'drug2', 'drug2_cluster_kmeans_13', 'drug1_cluster_agglomerative_14', 'drug1_cluster_kmeans_8', 'drug2_cluster_kmeans_16', 'output', 'drug2_cluster_birch_10', 'split', 'drug1_cluster_birch_10', 'drug2_cluster_birch_13', 'drug1_cluster_agglomerative_7', 'drug1_cluster_agglomerative_17', 'drug2_cluster_kmeans_17', 'drug1_cluster_kmeans_19', 'drug1_cluster_birch_5', 'drug2_cluster_kmeans_20', 'drug1_cluster_birch_6', 'drug2_cluster_kmeans_6', 'drug1_cluster_kmeans_10', 'drug2_cluster_agglomerative_9', 'drug1_cluster_kmeans_6', 'drug2_cluster_kmeans_10', 'drug2_cluster_birch_12', 'drug1_cluster_kmeans_7', 'drug1_cluster_birch_14', 'drug1_cluster_birch_17', 'drug2_cluster_kmeans_5', 'drug2_cluster_birch_11', 'drug1_smiles', 'drug1_cluster_birch_15', 'drug2_cluster_agglomerative_12', 'drug1', 'drug1_cluster_kmeans_15', 'drug1_cluster_birch_12', 'drug2_cluster_agglomerative_11', 'drug1_cluster_agglomerative_19', 'drug2_cluster_birch_20', 'drug1_cluster_kmeans_12', 'drug1_cluster_birch_19', 'drug1_cluster_kmeans_11', 'drug2_cluster_agglomerative_5', 'drug2_cluster_agglomerative_14', 'drug2_cluster_birch_7', 'drug2_cluster_kmeans_7', 'drug2_cluster_agglomerative_16', 'drug2_cluster_birch_8', 'drug1_cluster_birch_11', 'drug1_cluster_kmeans_16', 'drug2_cluster_kmeans_11', 'drug1_cluster_agglomerative_8', 'drug1_selfies', 'drug1_cluster_birch_7', 'drug1_cluster_agglomerative_10', 'drug2_cluster_birch_19', 'drug2_cluster_agglomerative_6', 'drug1_cluster_agglomerative_9', 'drug1_cluster_agglomerative_13', 'drug1_cluster_kmeans_14', 'drug2_cluster_birch_15', 'drug2_selfies', 'drug2_smiles', 'drug2_cluster_kmeans_18', 'drug1_description', 'drug2_cluster_kmeans_15', 'drug2_cluster_agglomerative_8', 'drug2_description', 'drug1_cluster_birch_16', 'drug1_cluster_kmeans_5', 'drug2_cluster_kmeans_12', 'drug2_cluster_birch_6', 'drug2_cluster_agglomerative_19', 'id'}) and 101 missing columns ({'cluster_kmeans_13', 'PC_41', 'cluster_kmeans_12', 'cluster_agglomerative_9', 'cluster_agglomerative_10', 'cluster_birch_9', 'cluster_agglomerative_12', 'cluster_agglomerative_5', 'PC_34', 'cluster_kmeans_17', 'PC_2', 'PC_5', 'PC_38', 'cluster_kmeans_11', 'cluster_birch_13', 'PC_39', 'cluster_birch_19', 'PC_6', 'PC_23', 'TSNE2', 'TSNE1', 'PC_36', 'cluster_agglomerative_7', 'cluster_kmeans_9', 'PC_33', 'cluster_agglomerative_13', 'PC_21', 'cluster_birch_14', 'cluster_kmeans_14', 'cluster_agglomerative_17', 'PC_13', 'PC_42', 'cluster_agglomerative_19', 'PC_1', 'cluster_birch_7', 'PC_31', 'PC_4', 'cluster_birch_10', 'PC_24', 'PC_35', 'PC_45', 'PC_3', 'PC_10', 'PC_15', 'cluster_birch_8', 'cluster_birch_11', 'cluster_agglomerative_15', 'cluster_kmeans_10', 'PC_11', 'PC_27', 'PC_28', 'cluster_birch_17', 'PC_8', 'cluster_birch_18', 'cluster_agglomerative_11', 'PC_40', 'PC_32', 'cluster_kmeans_19', 'PC_26', 'cluster_birch_20', 'cluster_agglomerative_20', 'cluster_agglomerative_14', 'cluster_birch_16', 'PC_18', 'cluster_kmeans_5', 'cluster_birch_5', 'cluster_kmeans_15', 'PC_49', 'PC_12', 'cluster_agglomerative_18', 'PC_46', 'PC_44', 'PC_50', 'PC_29', 'PC_14', 'PC_20', 'PC_30', 'PC_37', 'cluster_kmeans_20', 'PC_22', 'cluster_kmeans_16', 'cluster_agglomerative_8', 'PC_25', 'PC_19', 'cluster_birch_6', 'cluster_kmeans_18', 'cluster_birch_12', 'PC_17', 'cluster_birch_15', 'drug', 'PC_7', 'PC_43', 'cluster_agglomerative_16', 'PC_47', 'cluster_agglomerative_6', 'cluster_kmeans_7', 'cluster_kmeans_8', 'PC_48', 'PC_16', 'PC_9', 'cluster_kmeans_6'}).

This happened while the csv dataset builder was generating data using

hf://datasets/liupf/KAR4DDI/deepddie/few_k_b_a_5_20/k_b_a_5_20_few_226.csv (at revision a4f0c3fd420a2338f6b3f72a682389fa99d5cb5f)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              drug1: string
              drug2: string
              output: int64
              drug1_smiles: string
              drug2_smiles: string
              Frequency: string
              drug1_cluster_kmeans_5: int64
              drug1_cluster_kmeans_6: int64
              drug1_cluster_kmeans_7: int64
              drug1_cluster_kmeans_8: int64
              drug1_cluster_kmeans_9: int64
              drug1_cluster_kmeans_10: int64
              drug1_cluster_kmeans_11: int64
              drug1_cluster_kmeans_12: int64
              drug1_cluster_kmeans_13: int64
              drug1_cluster_kmeans_14: int64
              drug1_cluster_kmeans_15: int64
              drug1_cluster_kmeans_16: int64
              drug1_cluster_kmeans_17: int64
              drug1_cluster_kmeans_18: int64
              drug1_cluster_kmeans_19: int64
              drug1_cluster_kmeans_20: int64
              drug1_cluster_birch_5: int64
              drug1_cluster_birch_6: int64
              drug1_cluster_birch_7: int64
              drug1_cluster_birch_8: int64
              drug1_cluster_birch_9: int64
              drug1_cluster_birch_10: int64
              drug1_cluster_birch_11: int64
              drug1_cluster_birch_12: int64
              drug1_cluster_birch_13: int64
              drug1_cluster_birch_14: int64
              drug1_cluster_birch_15: int64
              drug1_cluster_birch_16: int64
              drug1_cluster_birch_17: int64
              drug1_cluster_birch_18: int64
              drug1_cluster_birch_19: int64
              drug1_cluster_birch_20: int64
              drug1_cluster_agglomerative_5: int64
              drug1_cluster_agglomerative_6: int64
              drug1_cluster_agglomerative_7: int64
              drug1_cluster_agglomerative_8: int64
              drug1_cluster_agglomerative_9: int64
              drug1_cluster_agglomerative_10: int64
              drug1_cluster_agglomerative_11: int64
              drug1_cluster_agglomerative_12: int64
              drug1_cluster_agglomerative_13: int64
              drug1_cluster_agglomerative_14: int64
              drug1_cluster_agglomerative_15: int64
              drug1_clu
              ...
              ster_kmeans_14: int64
              drug2_cluster_kmeans_15: int64
              drug2_cluster_kmeans_16: int64
              drug2_cluster_kmeans_17: int64
              drug2_cluster_kmeans_18: int64
              drug2_cluster_kmeans_19: int64
              drug2_cluster_kmeans_20: int64
              drug2_cluster_birch_5: int64
              drug2_cluster_birch_6: int64
              drug2_cluster_birch_7: int64
              drug2_cluster_birch_8: int64
              drug2_cluster_birch_9: int64
              drug2_cluster_birch_10: int64
              drug2_cluster_birch_11: int64
              drug2_cluster_birch_12: int64
              drug2_cluster_birch_13: int64
              drug2_cluster_birch_14: int64
              drug2_cluster_birch_15: int64
              drug2_cluster_birch_16: int64
              drug2_cluster_birch_17: int64
              drug2_cluster_birch_18: int64
              drug2_cluster_birch_19: int64
              drug2_cluster_birch_20: int64
              drug2_cluster_agglomerative_5: int64
              drug2_cluster_agglomerative_6: int64
              drug2_cluster_agglomerative_7: int64
              drug2_cluster_agglomerative_8: int64
              drug2_cluster_agglomerative_9: int64
              drug2_cluster_agglomerative_10: int64
              drug2_cluster_agglomerative_11: int64
              drug2_cluster_agglomerative_12: int64
              drug2_cluster_agglomerative_13: int64
              drug2_cluster_agglomerative_14: int64
              drug2_cluster_agglomerative_15: int64
              drug2_cluster_agglomerative_16: int64
              drug2_cluster_agglomerative_17: int64
              drug2_cluster_agglomerative_18: int64
              drug2_cluster_agglomerative_19: int64
              drug2_cluster_agglomerative_20: int64
              drug1_selfies: string
              drug2_selfies: string
              split: string
              drug1_description: string
              drug2_description: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 15741
              to
              {'drug': Value(dtype='string', id=None), 'PC_1': Value(dtype='float64', id=None), 'PC_2': Value(dtype='float64', id=None), 'PC_3': Value(dtype='float64', id=None), 'PC_4': Value(dtype='float64', id=None), 'PC_5': Value(dtype='float64', id=None), 'PC_6': Value(dtype='float64', id=None), 'PC_7': Value(dtype='float64', id=None), 'PC_8': Value(dtype='float64', id=None), 'PC_9': Value(dtype='float64', id=None), 'PC_10': Value(dtype='float64', id=None), 'PC_11': Value(dtype='float64', id=None), 'PC_12': Value(dtype='float64', id=None), 'PC_13': Value(dtype='float64', id=None), 'PC_14': Value(dtype='float64', id=None), 'PC_15': Value(dtype='float64', id=None), 'PC_16': Value(dtype='float64', id=None), 'PC_17': Value(dtype='float64', id=None), 'PC_18': Value(dtype='float64', id=None), 'PC_19': Value(dtype='float64', id=None), 'PC_20': Value(dtype='float64', id=None), 'PC_21': Value(dtype='float64', id=None), 'PC_22': Value(dtype='float64', id=None), 'PC_23': Value(dtype='float64', id=None), 'PC_24': Value(dtype='float64', id=None), 'PC_25': Value(dtype='float64', id=None), 'PC_26': Value(dtype='float64', id=None), 'PC_27': Value(dtype='float64', id=None), 'PC_28': Value(dtype='float64', id=None), 'PC_29': Value(dtype='float64', id=None), 'PC_30': Value(dtype='float64', id=None), 'PC_31': Value(dtype='float64', id=None), 'PC_32': Value(dtype='float64', id=None), 'PC_33': Value(dtype='float64', id=None), 'PC_34': Value(dtype='float64', id=None), 'PC_35': Value(dtype='float64', id=None)
              ...
               'cluster_birch_10': Value(dtype='int64', id=None), 'cluster_birch_11': Value(dtype='int64', id=None), 'cluster_birch_12': Value(dtype='int64', id=None), 'cluster_birch_13': Value(dtype='int64', id=None), 'cluster_birch_14': Value(dtype='int64', id=None), 'cluster_birch_15': Value(dtype='int64', id=None), 'cluster_birch_16': Value(dtype='int64', id=None), 'cluster_birch_17': Value(dtype='int64', id=None), 'cluster_birch_18': Value(dtype='int64', id=None), 'cluster_birch_19': Value(dtype='int64', id=None), 'cluster_birch_20': Value(dtype='int64', id=None), 'cluster_agglomerative_5': Value(dtype='int64', id=None), 'cluster_agglomerative_6': Value(dtype='int64', id=None), 'cluster_agglomerative_7': Value(dtype='int64', id=None), 'cluster_agglomerative_8': Value(dtype='int64', id=None), 'cluster_agglomerative_9': Value(dtype='int64', id=None), 'cluster_agglomerative_10': Value(dtype='int64', id=None), 'cluster_agglomerative_11': Value(dtype='int64', id=None), 'cluster_agglomerative_12': Value(dtype='int64', id=None), 'cluster_agglomerative_13': Value(dtype='int64', id=None), 'cluster_agglomerative_14': Value(dtype='int64', id=None), 'cluster_agglomerative_15': Value(dtype='int64', id=None), 'cluster_agglomerative_16': Value(dtype='int64', id=None), 'cluster_agglomerative_17': Value(dtype='int64', id=None), 'cluster_agglomerative_18': Value(dtype='int64', id=None), 'cluster_agglomerative_19': Value(dtype='int64', id=None), 'cluster_agglomerative_20': Value(dtype='int64', 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 1323, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 938, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 108 new columns ({'drug1_cluster_birch_13', 'drug2_cluster_agglomerative_13', 'drug2_cluster_birch_14', 'drug1_cluster_agglomerative_16', 'drug2_cluster_kmeans_19', 'drug2_cluster_birch_17', 'drug1_cluster_agglomerative_6', 'drug1_cluster_kmeans_17', 'drug1_cluster_kmeans_18', 'drug1_cluster_kmeans_20', 'drug2_cluster_kmeans_14', 'drug2_cluster_birch_5', 'drug2_cluster_agglomerative_17', 'drug1_cluster_agglomerative_11', 'drug2_cluster_birch_18', 'drug1_cluster_birch_8', 'drug2_cluster_agglomerative_7', 'drug1_cluster_agglomerative_15', 'drug1_cluster_birch_20', 'Frequency', 'drug1_cluster_agglomerative_20', 'drug2_cluster_kmeans_8', 'drug1_cluster_birch_18', 'drug1_cluster_agglomerative_12', 'drug2_cluster_agglomerative_20', 'drug2_cluster_agglomerative_18', 'drug2_cluster_kmeans_9', 'drug1_cluster_birch_9', 'drug2_cluster_agglomerative_10', 'drug2_cluster_agglomerative_15', 'drug1_cluster_kmeans_9', 'drug2_cluster_birch_9', 'drug1_cluster_agglomerative_18', 'drug1_cluster_kmeans_13', 'drug1_cluster_agglomerative_5', 'drug2_cluster_birch_16', 'drug2', 'drug2_cluster_kmeans_13', 'drug1_cluster_agglomerative_14', 'drug1_cluster_kmeans_8', 'drug2_cluster_kmeans_16', 'output', 'drug2_cluster_birch_10', 'split', 'drug1_cluster_birch_10', 'drug2_cluster_birch_13', 'drug1_cluster_agglomerative_7', 'drug1_cluster_agglomerative_17', 'drug2_cluster_kmeans_17', 'drug1_cluster_kmeans_19', 'drug1_cluster_birch_5', 'drug2_cluster_kmeans_20', 'drug1_cluster_birch_6', 'drug2_cluster_kmeans_6', 'drug1_cluster_kmeans_10', 'drug2_cluster_agglomerative_9', 'drug1_cluster_kmeans_6', 'drug2_cluster_kmeans_10', 'drug2_cluster_birch_12', 'drug1_cluster_kmeans_7', 'drug1_cluster_birch_14', 'drug1_cluster_birch_17', 'drug2_cluster_kmeans_5', 'drug2_cluster_birch_11', 'drug1_smiles', 'drug1_cluster_birch_15', 'drug2_cluster_agglomerative_12', 'drug1', 'drug1_cluster_kmeans_15', 'drug1_cluster_birch_12', 'drug2_cluster_agglomerative_11', 'drug1_cluster_agglomerative_19', 'drug2_cluster_birch_20', 'drug1_cluster_kmeans_12', 'drug1_cluster_birch_19', 'drug1_cluster_kmeans_11', 'drug2_cluster_agglomerative_5', 'drug2_cluster_agglomerative_14', 'drug2_cluster_birch_7', 'drug2_cluster_kmeans_7', 'drug2_cluster_agglomerative_16', 'drug2_cluster_birch_8', 'drug1_cluster_birch_11', 'drug1_cluster_kmeans_16', 'drug2_cluster_kmeans_11', 'drug1_cluster_agglomerative_8', 'drug1_selfies', 'drug1_cluster_birch_7', 'drug1_cluster_agglomerative_10', 'drug2_cluster_birch_19', 'drug2_cluster_agglomerative_6', 'drug1_cluster_agglomerative_9', 'drug1_cluster_agglomerative_13', 'drug1_cluster_kmeans_14', 'drug2_cluster_birch_15', 'drug2_selfies', 'drug2_smiles', 'drug2_cluster_kmeans_18', 'drug1_description', 'drug2_cluster_kmeans_15', 'drug2_cluster_agglomerative_8', 'drug2_description', 'drug1_cluster_birch_16', 'drug1_cluster_kmeans_5', 'drug2_cluster_kmeans_12', 'drug2_cluster_birch_6', 'drug2_cluster_agglomerative_19', 'id'}) and 101 missing columns ({'cluster_kmeans_13', 'PC_41', 'cluster_kmeans_12', 'cluster_agglomerative_9', 'cluster_agglomerative_10', 'cluster_birch_9', 'cluster_agglomerative_12', 'cluster_agglomerative_5', 'PC_34', 'cluster_kmeans_17', 'PC_2', 'PC_5', 'PC_38', 'cluster_kmeans_11', 'cluster_birch_13', 'PC_39', 'cluster_birch_19', 'PC_6', 'PC_23', 'TSNE2', 'TSNE1', 'PC_36', 'cluster_agglomerative_7', 'cluster_kmeans_9', 'PC_33', 'cluster_agglomerative_13', 'PC_21', 'cluster_birch_14', 'cluster_kmeans_14', 'cluster_agglomerative_17', 'PC_13', 'PC_42', 'cluster_agglomerative_19', 'PC_1', 'cluster_birch_7', 'PC_31', 'PC_4', 'cluster_birch_10', 'PC_24', 'PC_35', 'PC_45', 'PC_3', 'PC_10', 'PC_15', 'cluster_birch_8', 'cluster_birch_11', 'cluster_agglomerative_15', 'cluster_kmeans_10', 'PC_11', 'PC_27', 'PC_28', 'cluster_birch_17', 'PC_8', 'cluster_birch_18', 'cluster_agglomerative_11', 'PC_40', 'PC_32', 'cluster_kmeans_19', 'PC_26', 'cluster_birch_20', 'cluster_agglomerative_20', 'cluster_agglomerative_14', 'cluster_birch_16', 'PC_18', 'cluster_kmeans_5', 'cluster_birch_5', 'cluster_kmeans_15', 'PC_49', 'PC_12', 'cluster_agglomerative_18', 'PC_46', 'PC_44', 'PC_50', 'PC_29', 'PC_14', 'PC_20', 'PC_30', 'PC_37', 'cluster_kmeans_20', 'PC_22', 'cluster_kmeans_16', 'cluster_agglomerative_8', 'PC_25', 'PC_19', 'cluster_birch_6', 'cluster_kmeans_18', 'cluster_birch_12', 'PC_17', 'cluster_birch_15', 'drug', 'PC_7', 'PC_43', 'cluster_agglomerative_16', 'PC_47', 'cluster_agglomerative_6', 'cluster_kmeans_7', 'cluster_kmeans_8', 'PC_48', 'PC_16', 'PC_9', 'cluster_kmeans_6'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/liupf/KAR4DDI/deepddie/few_k_b_a_5_20/k_b_a_5_20_few_226.csv (at revision a4f0c3fd420a2338f6b3f72a682389fa99d5cb5f)
              
              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.

drug
string
PC_1
float64
PC_2
float64
PC_3
float64
PC_4
float64
PC_5
float64
PC_6
float64
PC_7
float64
PC_8
float64
PC_9
float64
PC_10
float64
PC_11
float64
PC_12
float64
PC_13
float64
PC_14
float64
PC_15
float64
PC_16
float64
PC_17
float64
PC_18
float64
PC_19
float64
PC_20
float64
PC_21
float64
PC_22
float64
PC_23
float64
PC_24
float64
PC_25
float64
PC_26
float64
PC_27
float64
PC_28
float64
PC_29
float64
PC_30
float64
PC_31
float64
PC_32
float64
PC_33
float64
PC_34
float64
PC_35
float64
PC_36
float64
PC_37
float64
PC_38
float64
PC_39
float64
PC_40
float64
PC_41
float64
PC_42
float64
PC_43
float64
PC_44
float64
PC_45
float64
PC_46
float64
PC_47
float64
PC_48
float64
PC_49
float64
PC_50
float64
TSNE1
float64
TSNE2
float64
cluster_kmeans_5
int64
cluster_kmeans_6
int64
cluster_kmeans_7
int64
cluster_kmeans_8
int64
cluster_kmeans_9
int64
cluster_kmeans_10
int64
cluster_kmeans_11
int64
cluster_kmeans_12
int64
cluster_kmeans_13
int64
cluster_kmeans_14
int64
cluster_kmeans_15
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DB04824
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DB00258
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DB01299
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DB00804
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DB06410
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DB06704
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DB00346
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DB13985
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DB00366
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DB01168
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DB11145
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DB00696
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DB04846
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DB00475
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DB11590
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DB09512
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DB01576
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DB12161
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DB00820
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DB00507
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6
End of preview.