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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 178 missing columns ({'commits_value__autocorrelation__lag_9', 'stargazers_value__autocorrelation__lag_5', 'issues_value__autocorrelation__lag_6', 'commits_value__friedrich_coefficients__coeff_0__m_3__r_30', 'releases_value__friedrich_coefficients__coeff_0__m_3__r_30', 'commits_value__autocorrelation__lag_4', 'issues_value__friedrich_coefficients__coeff_1__m_3__r_30', 'pair__pattern__2__8', 'contributors_value__autocorrelation__lag_2', 'pair__pattern__1__8', 'pull_requests_value__autocorrelation__lag_0', 'commits_value__autocorrelation__lag_2', 'deployments_value__autocorrelation__lag_8', 'forks_value__standard_deviation', 'issues_value__autocorrelation__lag_9', 'pull_requests_value__friedrich_coefficients__coeff_3__m_3__r_30', 'forks_value__friedrich_coefficients__coeff_3__m_3__r_30', 'commits_value__autocorrelation__lag_1', 'issues_value__friedrich_coefficients__coeff_3__m_3__r_30', 'forks_value__friedrich_coefficients__coeff_0__m_3__r_30', 'pair__pattern__1__9', 'releases_value__autocorrelation__lag_6', 'releases_value__friedrich_coefficients__coeff_1__m_3__r_30', 'forks_value__autocorrelation__lag_1', 'releases_value__autocorrelation__lag_7', 'contributors_value__autocorrelation__lag_9', 'workflows_value__autocorrelation__lag_1', 'pair__pattern__3__9', 'releases_value__autocorrelation__lag_5', 'contributors_value__friedrich_coefficients__coeff_1__m_3__r_30', 'issues_value__autocorrelation__lag_0', 'deployments_value__autocorrelation__lag_6', 'deployments_value__friedrich_coefficients__coeff_2
...
tion__lag_3', 'pull_requests_value__autocorrelation__lag_7', 'pull_requests_value__autocorrelation__lag_8', 'commits_value__skewness', 'deployments_value__autocorrelation__lag_7', 'pull_requests_value__autocorrelation__lag_6', 'issues_value__autocorrelation__lag_7', 'forks_value__autocorrelation__lag_3', 'pair__pattern__7__9', 'commits_value__autocorrelation__lag_7', 'releases_value__friedrich_coefficients__coeff_2__m_3__r_30', 'deployments_value__autocorrelation__lag_3', 'workflows_value__autocorrelation__lag_2', 'stargazers_value__friedrich_coefficients__coeff_0__m_3__r_30', 'workflows_value__skewness', 'pair__pattern__6__9', 'stargazers_value__friedrich_coefficients__coeff_2__m_3__r_30', 'contributors_value__standard_deviation', 'stargazers_value__friedrich_coefficients__coeff_1__m_3__r_30', 'pair__pattern__6__8', 'pull_requests_value__autocorrelation__lag_2', 'contributors_value__autocorrelation__lag_1', 'contributors_value__autocorrelation__lag_7', 'contributors_value__autocorrelation__lag_3', 'contributors_value__autocorrelation__lag_8', 'contributors_value__friedrich_coefficients__coeff_0__m_3__r_30', 'pull_requests_value__friedrich_coefficients__coeff_2__m_3__r_30', 'workflows_value__autocorrelation__lag_5', 'workflows_value__autocorrelation__lag_0', 'issues_value__autocorrelation__lag_3', 'size_value__autocorrelation__lag_2', 'releases_value__standard_deviation', 'releases_value__friedrich_coefficients__coeff_3__m_3__r_30', 'stargazers_value__autocorrelation__lag_7'})

This happened while the csv dataset builder was generating data using

hf://datasets/MattiaBonfanti-CS/IN5000-MB-TUD-Clustering/time_series_clustering_distances.csv (at revision 4a1a6bc5f5a92f17859e293153d1cbf80fb654e8)

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
              pair__pattern__0__1: double
              pair__pattern__0__2: double
              pair__pattern__0__3: double
              pair__pattern__0__4: double
              pair__pattern__0__5: double
              pair__pattern__0__6: double
              pair__pattern__0__7: double
              pair__pattern__1__2: double
              pair__pattern__1__3: double
              pair__pattern__1__4: double
              pair__pattern__1__5: double
              pair__pattern__1__6: double
              pair__pattern__1__7: double
              pair__pattern__2__3: double
              pair__pattern__2__4: double
              pair__pattern__2__5: double
              pair__pattern__2__6: double
              pair__pattern__2__7: double
              pair__pattern__3__4: double
              pair__pattern__3__5: double
              pair__pattern__3__6: double
              pair__pattern__3__7: double
              pair__pattern__4__5: double
              pair__pattern__4__6: double
              pair__pattern__4__7: double
              pair__pattern__5__6: double
              pair__pattern__5__7: double
              pair__pattern__6__7: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4154
              to
              {'stargazers_value__autocorrelation__lag_0': Value(dtype='float64', id=None), 'stargazers_value__autocorrelation__lag_1': Value(dtype='float64', id=None), 'stargazers_value__autocorrelation__lag_2': Value(dtype='float64', id=None), 'stargazers_value__autocorrelation__lag_3': Value(dtype='float64', id=None), 'stargazers_value__autocorrelation__lag_4': Value(dtype='float64', id=None), 'stargazers_value__autocorrelation__lag_5': Value(dtype='float64', id=None), 'stargazers_value__autocorrelation__lag_6': Value(dtype='float64', id=None), 'stargazers_value__autocorrelation__lag_7': Value(dtype='float64', id=None), 'stargazers_value__autocorrelation__lag_8': Value(dtype='float64', id=None), 'stargazers_value__autocorrelation__lag_9': Value(dtype='float64', id=None), 'stargazers_value__friedrich_coefficients__coeff_0__m_3__r_30': Value(dtype='float64', id=None), 'stargazers_value__friedrich_coefficients__coeff_1__m_3__r_30': Value(dtype='float64', id=None), 'stargazers_value__friedrich_coefficients__coeff_2__m_3__r_30': Value(dtype='float64', id=None), 'stargazers_value__friedrich_coefficients__coeff_3__m_3__r_30': Value(dtype='float64', id=None), 'stargazers_value__skewness': Value(dtype='float64', id=None), 'stargazers_value__standard_deviation': Value(dtype='float64', id=None), 'releases_value__autocorrelation__lag_0': Value(dtype='float64', id=None), 'releases_value__autocorrelation__lag_1': Value(dtype='float64', id=None), 'releases_value__autocorrelation__lag_2': Value(dtype='
              ...
              None), 'pair__pattern__2__5': Value(dtype='float64', id=None), 'pair__pattern__2__6': Value(dtype='float64', id=None), 'pair__pattern__2__7': Value(dtype='float64', id=None), 'pair__pattern__2__8': Value(dtype='float64', id=None), 'pair__pattern__2__9': Value(dtype='float64', id=None), 'pair__pattern__3__4': Value(dtype='float64', id=None), 'pair__pattern__3__5': Value(dtype='float64', id=None), 'pair__pattern__3__6': Value(dtype='float64', id=None), 'pair__pattern__3__7': Value(dtype='float64', id=None), 'pair__pattern__3__8': Value(dtype='float64', id=None), 'pair__pattern__3__9': Value(dtype='float64', id=None), 'pair__pattern__4__5': Value(dtype='float64', id=None), 'pair__pattern__4__6': Value(dtype='float64', id=None), 'pair__pattern__4__7': Value(dtype='float64', id=None), 'pair__pattern__4__8': Value(dtype='float64', id=None), 'pair__pattern__4__9': Value(dtype='float64', id=None), 'pair__pattern__5__6': Value(dtype='float64', id=None), 'pair__pattern__5__7': Value(dtype='float64', id=None), 'pair__pattern__5__8': Value(dtype='float64', id=None), 'pair__pattern__5__9': Value(dtype='float64', id=None), 'pair__pattern__6__7': Value(dtype='float64', id=None), 'pair__pattern__6__8': Value(dtype='float64', id=None), 'pair__pattern__6__9': Value(dtype='float64', id=None), 'pair__pattern__7__8': Value(dtype='float64', id=None), 'pair__pattern__7__9': Value(dtype='float64', id=None), 'pair__pattern__8__9': Value(dtype='float64', id=None), 'id': 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 1577, 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 1191, 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 178 missing columns ({'commits_value__autocorrelation__lag_9', 'stargazers_value__autocorrelation__lag_5', 'issues_value__autocorrelation__lag_6', 'commits_value__friedrich_coefficients__coeff_0__m_3__r_30', 'releases_value__friedrich_coefficients__coeff_0__m_3__r_30', 'commits_value__autocorrelation__lag_4', 'issues_value__friedrich_coefficients__coeff_1__m_3__r_30', 'pair__pattern__2__8', 'contributors_value__autocorrelation__lag_2', 'pair__pattern__1__8', 'pull_requests_value__autocorrelation__lag_0', 'commits_value__autocorrelation__lag_2', 'deployments_value__autocorrelation__lag_8', 'forks_value__standard_deviation', 'issues_value__autocorrelation__lag_9', 'pull_requests_value__friedrich_coefficients__coeff_3__m_3__r_30', 'forks_value__friedrich_coefficients__coeff_3__m_3__r_30', 'commits_value__autocorrelation__lag_1', 'issues_value__friedrich_coefficients__coeff_3__m_3__r_30', 'forks_value__friedrich_coefficients__coeff_0__m_3__r_30', 'pair__pattern__1__9', 'releases_value__autocorrelation__lag_6', 'releases_value__friedrich_coefficients__coeff_1__m_3__r_30', 'forks_value__autocorrelation__lag_1', 'releases_value__autocorrelation__lag_7', 'contributors_value__autocorrelation__lag_9', 'workflows_value__autocorrelation__lag_1', 'pair__pattern__3__9', 'releases_value__autocorrelation__lag_5', 'contributors_value__friedrich_coefficients__coeff_1__m_3__r_30', 'issues_value__autocorrelation__lag_0', 'deployments_value__autocorrelation__lag_6', 'deployments_value__friedrich_coefficients__coeff_2
              ...
              tion__lag_3', 'pull_requests_value__autocorrelation__lag_7', 'pull_requests_value__autocorrelation__lag_8', 'commits_value__skewness', 'deployments_value__autocorrelation__lag_7', 'pull_requests_value__autocorrelation__lag_6', 'issues_value__autocorrelation__lag_7', 'forks_value__autocorrelation__lag_3', 'pair__pattern__7__9', 'commits_value__autocorrelation__lag_7', 'releases_value__friedrich_coefficients__coeff_2__m_3__r_30', 'deployments_value__autocorrelation__lag_3', 'workflows_value__autocorrelation__lag_2', 'stargazers_value__friedrich_coefficients__coeff_0__m_3__r_30', 'workflows_value__skewness', 'pair__pattern__6__9', 'stargazers_value__friedrich_coefficients__coeff_2__m_3__r_30', 'contributors_value__standard_deviation', 'stargazers_value__friedrich_coefficients__coeff_1__m_3__r_30', 'pair__pattern__6__8', 'pull_requests_value__autocorrelation__lag_2', 'contributors_value__autocorrelation__lag_1', 'contributors_value__autocorrelation__lag_7', 'contributors_value__autocorrelation__lag_3', 'contributors_value__autocorrelation__lag_8', 'contributors_value__friedrich_coefficients__coeff_0__m_3__r_30', 'pull_requests_value__friedrich_coefficients__coeff_2__m_3__r_30', 'workflows_value__autocorrelation__lag_5', 'workflows_value__autocorrelation__lag_0', 'issues_value__autocorrelation__lag_3', 'size_value__autocorrelation__lag_2', 'releases_value__standard_deviation', 'releases_value__friedrich_coefficients__coeff_3__m_3__r_30', 'stargazers_value__autocorrelation__lag_7'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/MattiaBonfanti-CS/IN5000-MB-TUD-Clustering/time_series_clustering_distances.csv (at revision 4a1a6bc5f5a92f17859e293153d1cbf80fb654e8)
              
              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.

stargazers_value__autocorrelation__lag_0
float64
stargazers_value__autocorrelation__lag_1
float64
stargazers_value__autocorrelation__lag_2
float64
stargazers_value__autocorrelation__lag_3
float64
stargazers_value__autocorrelation__lag_4
float64
stargazers_value__autocorrelation__lag_5
float64
stargazers_value__autocorrelation__lag_6
float64
stargazers_value__autocorrelation__lag_7
float64
stargazers_value__autocorrelation__lag_8
float64
stargazers_value__autocorrelation__lag_9
float64
stargazers_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
stargazers_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
stargazers_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
stargazers_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
stargazers_value__skewness
float64
stargazers_value__standard_deviation
float64
releases_value__autocorrelation__lag_0
float64
releases_value__autocorrelation__lag_1
float64
releases_value__autocorrelation__lag_2
float64
releases_value__autocorrelation__lag_3
float64
releases_value__autocorrelation__lag_4
float64
releases_value__autocorrelation__lag_5
float64
releases_value__autocorrelation__lag_6
float64
releases_value__autocorrelation__lag_7
float64
releases_value__autocorrelation__lag_8
float64
releases_value__autocorrelation__lag_9
float64
releases_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
releases_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
releases_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
releases_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
releases_value__skewness
float64
releases_value__standard_deviation
float64
commits_value__autocorrelation__lag_0
float64
commits_value__autocorrelation__lag_1
float64
commits_value__autocorrelation__lag_2
float64
commits_value__autocorrelation__lag_3
float64
commits_value__autocorrelation__lag_4
float64
commits_value__autocorrelation__lag_5
float64
commits_value__autocorrelation__lag_6
float64
commits_value__autocorrelation__lag_7
float64
commits_value__autocorrelation__lag_8
float64
commits_value__autocorrelation__lag_9
float64
commits_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
commits_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
commits_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
commits_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
commits_value__skewness
float64
commits_value__standard_deviation
float64
contributors_value__autocorrelation__lag_0
float64
contributors_value__autocorrelation__lag_1
float64
contributors_value__autocorrelation__lag_2
float64
contributors_value__autocorrelation__lag_3
float64
contributors_value__autocorrelation__lag_4
float64
contributors_value__autocorrelation__lag_5
float64
contributors_value__autocorrelation__lag_6
float64
contributors_value__autocorrelation__lag_7
float64
contributors_value__autocorrelation__lag_8
float64
contributors_value__autocorrelation__lag_9
float64
contributors_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
contributors_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
contributors_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
contributors_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
contributors_value__skewness
float64
contributors_value__standard_deviation
float64
deployments_value__autocorrelation__lag_0
float64
deployments_value__autocorrelation__lag_1
float64
deployments_value__autocorrelation__lag_2
float64
deployments_value__autocorrelation__lag_3
float64
deployments_value__autocorrelation__lag_4
float64
deployments_value__autocorrelation__lag_5
float64
deployments_value__autocorrelation__lag_6
float64
deployments_value__autocorrelation__lag_7
float64
deployments_value__autocorrelation__lag_8
float64
deployments_value__autocorrelation__lag_9
float64
deployments_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
deployments_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
deployments_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
deployments_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
deployments_value__skewness
float64
deployments_value__standard_deviation
float64
issues_value__autocorrelation__lag_0
float64
issues_value__autocorrelation__lag_1
float64
issues_value__autocorrelation__lag_2
float64
issues_value__autocorrelation__lag_3
float64
issues_value__autocorrelation__lag_4
float64
issues_value__autocorrelation__lag_5
float64
issues_value__autocorrelation__lag_6
float64
issues_value__autocorrelation__lag_7
float64
issues_value__autocorrelation__lag_8
float64
issues_value__autocorrelation__lag_9
float64
issues_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
issues_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
issues_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
issues_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
issues_value__skewness
float64
issues_value__standard_deviation
float64
forks_value__autocorrelation__lag_0
float64
forks_value__autocorrelation__lag_1
float64
forks_value__autocorrelation__lag_2
float64
forks_value__autocorrelation__lag_3
float64
forks_value__autocorrelation__lag_4
float64
forks_value__autocorrelation__lag_5
float64
forks_value__autocorrelation__lag_6
float64
forks_value__autocorrelation__lag_7
float64
forks_value__autocorrelation__lag_8
float64
forks_value__autocorrelation__lag_9
float64
forks_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
forks_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
forks_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
forks_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
forks_value__skewness
float64
forks_value__standard_deviation
float64
pull_requests_value__autocorrelation__lag_0
float64
pull_requests_value__autocorrelation__lag_1
float64
pull_requests_value__autocorrelation__lag_2
float64
pull_requests_value__autocorrelation__lag_3
float64
pull_requests_value__autocorrelation__lag_4
float64
pull_requests_value__autocorrelation__lag_5
float64
pull_requests_value__autocorrelation__lag_6
float64
pull_requests_value__autocorrelation__lag_7
float64
pull_requests_value__autocorrelation__lag_8
float64
pull_requests_value__autocorrelation__lag_9
float64
pull_requests_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
pull_requests_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
pull_requests_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
pull_requests_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
pull_requests_value__skewness
float64
pull_requests_value__standard_deviation
float64
workflows_value__autocorrelation__lag_0
float64
workflows_value__autocorrelation__lag_1
float64
workflows_value__autocorrelation__lag_2
float64
workflows_value__autocorrelation__lag_3
float64
workflows_value__autocorrelation__lag_4
float64
workflows_value__autocorrelation__lag_5
float64
workflows_value__autocorrelation__lag_6
float64
workflows_value__autocorrelation__lag_7
float64
workflows_value__autocorrelation__lag_8
float64
workflows_value__autocorrelation__lag_9
float64
workflows_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
workflows_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
workflows_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
workflows_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
workflows_value__skewness
float64
workflows_value__standard_deviation
float64
size_value__autocorrelation__lag_0
float64
size_value__autocorrelation__lag_1
float64
size_value__autocorrelation__lag_2
float64
size_value__autocorrelation__lag_3
float64
size_value__autocorrelation__lag_4
float64
size_value__autocorrelation__lag_5
float64
size_value__autocorrelation__lag_6
float64
size_value__autocorrelation__lag_7
float64
size_value__autocorrelation__lag_8
float64
size_value__autocorrelation__lag_9
float64
size_value__friedrich_coefficients__coeff_0__m_3__r_30
float64
size_value__friedrich_coefficients__coeff_1__m_3__r_30
float64
size_value__friedrich_coefficients__coeff_2__m_3__r_30
float64
size_value__friedrich_coefficients__coeff_3__m_3__r_30
float64
size_value__skewness
float64
size_value__standard_deviation
float64
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0.064601
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NCI-Agency/anet
0.924984
0.443927
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manchesergit/material-ui
1
0.864321
0.753946
0.658516
0.56994
0.48401
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0.130396
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1
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0.110802
0.00465
patternfly/patternfly-react
0.962492
0.654124
0.485942
0.352359
0.224604
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0.26117
1
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1
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1
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1
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0.319114
1
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0.021464
0.01706
LuccaSA/lucca-front
1
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0.753946
0.658516
0.56994
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1
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1
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FoalTS/foal
1
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0.13411
1
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0.13411
1
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ROCm/ROCmValidationSuite
1
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0.860044
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0.804674
0.284556
1
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1
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OkapiLib/OkapiLib
1
0.864321
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0.658516
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0.819879
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1
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0.001812
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3.163572
0.13411
1
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0.13411
0.924984
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0.249998
1
0.775437
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0.11542
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0.001569
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SickChill/sickchill
1
0.828767
0.675591
0.538292
0.405227
0.268306
0.135312
0.037965
-0.079482
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0.502638
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0.077009
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0.013212
0.603688
0.263404
1
0.864321
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0.309874
0.221533
0.130396
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0.017436
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1.008473
0.226264
1
0.864321
0.753946
0.658516
0.56994
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0.309874
0.221533
0.130396
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0.027394
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0.012138
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0.272341
1
0.864321
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0.56994
0.48401
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0.962492
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0.739085
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0.001812
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3.163572
0.13411
1
0.864321
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0.309874
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0.012138
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0.272341
0.163565
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0.072555
0.11261
0.037165
0.004563
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0.175886
0.138924
0.148203
0.094053
0.072453
0.126401
0.159002
0.052426
0.030776
0.009279
0.050956
0.087968
0.030776
0.029204
0.135578
0.163413
0.057192
0.097247
0.03397
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0.144856
0.172692
0.077473
0.060234
0.067992
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0.118643
0.084774
0.108046
0.063023
0.075445
0.038889
0.110886
0.141865
0.143487
0.171323
0.030979
searx/searx
End of preview.

A Framework for Identifying Evolution Patterns of Open-Source Software Projects

IN5000 TU Delft - MSc Computer Science

This repository contains the multivariate tiem series clustering datasets related to the following repository:

https://github.com/IN5000-MB-TUD/data-analysis

Contributors

Project developed for the course IN5000 - Master's thesis of the 2023/2024 academic year at TU Delft.

Author:

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Models trained or fine-tuned on MattiaBonfanti-CS/IN5000-MB-TUD-Clustering