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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 41 new columns ({'Open_Source_PRs_Merged', 'LeetCode_Hard_Solved', 'Backlogs_Active', 'GitHub_Commit_Activity', 'Number_of_Internships', 'Communication_Skill', 'System_Design_Books_Read', 'Attitude_Towards_Prep', 'OS_Networking_Knowledge', 'Mock_Interviews_Done', 'DSA_Consistency_Score_0to1', 'Year_of_Study', 'Student_ID', 'Number_of_Projects', 'Behavioral_Prep_Level', 'LeetCode_Easy_Solved', 'FAANG_Ready_Label', 'Certifications', 'Competitive_Programming_Tier', 'Reading_Habits', 'Branch', 'Referral_Status', 'Daily_Coding_Streak_Days', 'Total_LeetCode_Solved', 'Best_Internship_Quality', 'Languages_Known', 'Networking_Effort', 'Interview_Rounds_Cleared', 'Resume_Quality', 'CGPA', 'Frameworks_Known', 'Best_Project_Type', 'Hackathon_Wins', 'Consistency_Score_0to1', 'LeetCode_Medium_Solved', 'Primary_Domain', 'Final_Offer_Status', 'LinkedIn_Followers', 'System_Design_Level', 'College', 'Tech_Blog_Posts_Written'}) and 2 missing columns ({'Metric', 'Value'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ShiroOnigami23/faang-predictor-tier3-dataset/tier3_faang_dataset.csv (at revision 6a53ebec7081a71727bdf4dbcc287a4a28ee391e), [/tmp/hf-datasets-cache/medium/datasets/89833551249342-config-parquet-and-info-ShiroOnigami23-faang-pred-98fc839e/hub/datasets--ShiroOnigami23--faang-predictor-tier3-dataset/snapshots/6a53ebec7081a71727bdf4dbcc287a4a28ee391e/metrics_table.csv (origin=hf://datasets/ShiroOnigami23/faang-predictor-tier3-dataset@6a53ebec7081a71727bdf4dbcc287a4a28ee391e/metrics_table.csv), /tmp/hf-datasets-cache/medium/datasets/89833551249342-config-parquet-and-info-ShiroOnigami23-faang-pred-98fc839e/hub/datasets--ShiroOnigami23--faang-predictor-tier3-dataset/snapshots/6a53ebec7081a71727bdf4dbcc287a4a28ee391e/tier3_faang_dataset.csv (origin=hf://datasets/ShiroOnigami23/faang-predictor-tier3-dataset@6a53ebec7081a71727bdf4dbcc287a4a28ee391e/tier3_faang_dataset.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/python3.12/site-packages/datasets/builder.py", line 1893, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Student_ID: string
              College: string
              Year_of_Study: int64
              Branch: string
              CGPA: double
              Backlogs_Active: int64
              Primary_Domain: string
              Languages_Known: string
              Frameworks_Known: string
              LeetCode_Easy_Solved: int64
              LeetCode_Medium_Solved: int64
              LeetCode_Hard_Solved: int64
              Total_LeetCode_Solved: int64
              DSA_Consistency_Score_0to1: double
              Daily_Coding_Streak_Days: int64
              Competitive_Programming_Tier: string
              Number_of_Internships: int64
              Best_Internship_Quality: string
              Number_of_Projects: int64
              Best_Project_Type: string
              GitHub_Commit_Activity: string
              Open_Source_PRs_Merged: int64
              System_Design_Level: string
              System_Design_Books_Read: string
              OS_Networking_Knowledge: string
              Communication_Skill: string
              Attitude_Towards_Prep: string
              Mock_Interviews_Done: int64
              Behavioral_Prep_Level: string
              Reading_Habits: string
              Certifications: string
              Hackathon_Wins: int64
              LinkedIn_Followers: int64
              Tech_Blog_Posts_Written: int64
              Resume_Quality: string
              Referral_Status: string
              Networking_Effort: string
              Consistency_Score_0to1: double
              Interview_Rounds_Cleared: int64
              Final_Offer_Status: string
              FAANG_Ready_Label: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5802
              to
              {'Metric': Value('string'), 'Value': 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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1895, 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 41 new columns ({'Open_Source_PRs_Merged', 'LeetCode_Hard_Solved', 'Backlogs_Active', 'GitHub_Commit_Activity', 'Number_of_Internships', 'Communication_Skill', 'System_Design_Books_Read', 'Attitude_Towards_Prep', 'OS_Networking_Knowledge', 'Mock_Interviews_Done', 'DSA_Consistency_Score_0to1', 'Year_of_Study', 'Student_ID', 'Number_of_Projects', 'Behavioral_Prep_Level', 'LeetCode_Easy_Solved', 'FAANG_Ready_Label', 'Certifications', 'Competitive_Programming_Tier', 'Reading_Habits', 'Branch', 'Referral_Status', 'Daily_Coding_Streak_Days', 'Total_LeetCode_Solved', 'Best_Internship_Quality', 'Languages_Known', 'Networking_Effort', 'Interview_Rounds_Cleared', 'Resume_Quality', 'CGPA', 'Frameworks_Known', 'Best_Project_Type', 'Hackathon_Wins', 'Consistency_Score_0to1', 'LeetCode_Medium_Solved', 'Primary_Domain', 'Final_Offer_Status', 'LinkedIn_Followers', 'System_Design_Level', 'College', 'Tech_Blog_Posts_Written'}) and 2 missing columns ({'Metric', 'Value'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ShiroOnigami23/faang-predictor-tier3-dataset/tier3_faang_dataset.csv (at revision 6a53ebec7081a71727bdf4dbcc287a4a28ee391e), [/tmp/hf-datasets-cache/medium/datasets/89833551249342-config-parquet-and-info-ShiroOnigami23-faang-pred-98fc839e/hub/datasets--ShiroOnigami23--faang-predictor-tier3-dataset/snapshots/6a53ebec7081a71727bdf4dbcc287a4a28ee391e/metrics_table.csv (origin=hf://datasets/ShiroOnigami23/faang-predictor-tier3-dataset@6a53ebec7081a71727bdf4dbcc287a4a28ee391e/metrics_table.csv), /tmp/hf-datasets-cache/medium/datasets/89833551249342-config-parquet-and-info-ShiroOnigami23-faang-pred-98fc839e/hub/datasets--ShiroOnigami23--faang-predictor-tier3-dataset/snapshots/6a53ebec7081a71727bdf4dbcc287a4a28ee391e/tier3_faang_dataset.csv (origin=hf://datasets/ShiroOnigami23/faang-predictor-tier3-dataset@6a53ebec7081a71727bdf4dbcc287a4a28ee391e/tier3_faang_dataset.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)

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Metric
string
Value
string
Train Accuracy
0.9448 (94.48%)
Test Accuracy
0.9200 (92.00%)
Validation Accuracy (5-fold CV)
0.9273 ± 0.0025
Validation ROC-AUC (5-fold CV)
0.6296 ± 0.0394
Test Precision
0.0000
Test Recall
0.0000
Test F1
0.0000
Test ROC-AUC
0.6560
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End of preview.

FAANG Predictor Tier-3 Dataset

Hugging Face Dataset Rows Columns

Rows: 1500
Columns: 41
Positive FAANG label rate: 7.20%

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