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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 1 new columns ({'Feature Completion Time (days)'}) and 1 missing columns ({'Feature Completion Time'}).

This happened while the csv dataset builder was generating data using

hf://datasets/naushadnizarali/developer-stats/developer-stats.csv (at revision 0bc7aefe8dfb18ea2aeb9b01795f8f4bd390a17a)

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
              Name: string
              Experience Level: string
              Expertise: string
              Feature: string
              Hourly Rate: int64
              Language: string
              Experience Months: int64
              Code Review Feedback: string
              Assigned Features: int64
              Feature Completion Time (days): int64
              Lines of Code PF: int64
              Bug Fixes: int64
              Bug Resolution Time: int64
              Bug Closure Rate: string
              Team Communication: string
              Peer Feedback: string
              Meeting Deadlines: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2435
              to
              {'Name': Value(dtype='string', id=None), 'Experience Level': Value(dtype='string', id=None), 'Feature': Value(dtype='string', id=None), 'Expertise': Value(dtype='string', id=None), 'Language': Value(dtype='string', id=None), 'Experience Months': Value(dtype='int64', id=None), 'Hourly Rate': Value(dtype='float64', id=None), 'Code Review Feedback': Value(dtype='string', id=None), 'Assigned Features': Value(dtype='int64', id=None), 'Feature Completion Time': Value(dtype='string', id=None), 'Lines of Code PF': Value(dtype='int64', id=None), 'Bug Fixes': Value(dtype='int64', id=None), 'Bug Resolution Time': Value(dtype='string', id=None), 'Bug Closure Rate': Value(dtype='string', id=None), 'Team Communication': Value(dtype='string', id=None), 'Peer Feedback': Value(dtype='string', id=None), 'Meeting Deadlines': 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 1321, 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 935, 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 1 new columns ({'Feature Completion Time (days)'}) and 1 missing columns ({'Feature Completion Time'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/naushadnizarali/developer-stats/developer-stats.csv (at revision 0bc7aefe8dfb18ea2aeb9b01795f8f4bd390a17a)
              
              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.

Name
string
Experience Level
string
Feature
string
Expertise
string
Language
string
Experience Months
int64
Hourly Rate
float64
Code Review Feedback
string
Assigned Features
int64
Feature Completion Time
string
Lines of Code PF
int64
Bug Fixes
int64
Bug Resolution Time
string
Bug Closure Rate
string
Team Communication
string
Peer Feedback
string
Meeting Deadlines
string
John Doe
Junior
null
Backend Team
Python
36
null
Positive
10
5 days
250
5
2 days
80%
High
Positive
80%
Jane Smith
Senior
Login Screen
Frontend Team
React
120
40
Positive
15
3 days
500
8
1 day
75%
Medium
Positive
90%
Jane Smith
Senior
CRUD API
Backend Team
NodeJs
120
20
Positive
15
3 days
500
8
1 day
75%
Medium
Positive
90%
Jane Smith
Senior
Data Grid
Frontend Team
Angular
120
60
Positive
15
3 days
500
8
1 day
75%
Medium
Positive
90%
Jane Smith
Senior
Sorting Algo
Frontend Team
C++
120
45
Positive
15
3 days
500
8
1 day
75%
Medium
Positive
90%
Jane Smith
Senior
Form Processing
Frontend Team
PHP
120
30
Positive
15
3 days
500
8
1 day
75%
Medium
Positive
90%
Jane Smith
Senior
CRUD API
Frontend Team
PHP
120
35
Positive
15
3 days
500
8
1 day
75%
Medium
Positive
90%
Jane Smith
Senior
Driver
Frontend Team
C++
120
50
Positive
15
3 days
500
8
1 day
75%
Medium
Positive
90%
Jane Smith
Senior
Ecommerce
Frontend Team
React
120
65
Positive
15
3 days
500
8
1 day
75%
Medium
Positive
90%
Mark Johnson
Mid-Level
null
Mobile Team
Flutter
6
null
Positive
12
4 days
400
6
3 days
70%
High
Positive
85%
Robert Rivera
Mid-Level
null
Mobile Team
Flutter
47
null
Negative
15
4 days
985
1
5 days
60%
High
Negative
95%
Joshua Turner
Senior
null
ML
Flutter
86
null
Negative
6
6 days
488
6
1 days
90%
Low
Positive
55%
Amy Williams
Junior
null
ML
NodeJs
15
null
Negative
8
10 days
707
1
5 days
90%
High
Positive
75%
Linda Singh
Senior
null
DevOps
Angular
120
null
Negative
18
1 days
195
8
2 days
90%
Low
Positive
80%
Latasha Cordova
Mid-Level
null
ML
React
11
null
Positive
6
8 days
300
5
3 days
85%
High
Positive
40%
Christine Davis
Mid-Level
null
ML
Angular
59
null
Negative
17
6 days
829
1
5 days
90%
Medium
Positive
50%
Jeffrey Phillips
Senior
null
DevOps
Angular
119
null
Negative
11
5 days
144
8
3 days
80%
Medium
Positive
40%
Maria Cochran
Senior
null
Mobile Team
.NET
58
null
Negative
14
8 days
952
2
3 days
40%
High
Negative
80%
Michelle Lawson
Junior
null
ML
.NET
70
null
Positive
20
2 days
322
6
1 days
85%
Low
Negative
60%
Eileen Tyler
Junior
null
DevOps
React
73
null
Positive
20
2 days
742
6
5 days
90%
Medium
Negative
85%
Sarah Smith
Senior
null
Backend Team
NodeJs
111
null
Positive
15
5 days
564
6
2 days
55%
Low
Negative
55%
John Dawson
Mid-Level
null
Backend Team
NodeJs
90
null
Neutral
12
9 days
526
7
2 days
70%
High
Positive
70%
Jeffrey Kirby
Mid-Level
null
Backend Team
Flutter
115
null
Positive
15
4 days
282
0
5 days
95%
Medium
Negative
95%
Andrew Jackson
Mid-Level
null
DevOps
.NET
116
null
Negative
14
3 days
739
0
4 days
60%
Medium
Positive
70%
Kevin Le
Mid-Level
null
Frontend Team
Angular
21
null
Neutral
17
4 days
297
0
3 days
75%
High
Positive
75%
Linda Russell
Mid-Level
null
Frontend Team
Flutter
52
null
Positive
6
5 days
853
2
3 days
85%
High
Negative
85%
Jose Taylor
Mid-Level
null
ML
React
13
null
Negative
7
3 days
624
7
1 days
90%
Medium
Positive
55%
Michael Robinson
Senior
null
ML
Flutter
115
null
Negative
5
3 days
393
0
2 days
90%
High
Negative
50%
Jonathon Martin
Junior
null
DevOps
React
82
null
Negative
5
10 days
847
1
5 days
95%
High
Positive
55%
Richard Gomez
Mid-Level
null
Frontend Team
NodeJs
87
null
Neutral
16
1 days
710
1
5 days
50%
Low
Positive
55%
Justin Stark
Senior
Client-side routing
Frontend
Sass
105
90
Positive
13
null
796
1
1
80%
High
Positive
70%
Justin Stark
Mid-Level
Background processing/jobs
Backend
Node.js
40
45
Positive
9
null
479
3
4
60%
High
Negative
50%
Justin Stark
Mid-Level
Cross-platform mobile development (e.g., Flutter, React Native)
Mobile
Ionic
42
60
Positive
8
null
937
9
5
40%
Low
Positive
75%
Justin Stark
Mid-Level
Browser compatibility
Frontend
Vue.js
60
75
Negative
14
null
634
4
1
45%
High
Negative
50%
Justin Stark
Mid-Level
Security and encryption
Backend
Ruby
57
70
Negative
16
null
115
5
4
50%
High
Positive
80%
Justin Stark
Senior
JavaScript/jQuery
Frontend
Webpack
138
85
Neutral
5
null
586
9
3
80%
Medium
Negative
75%
Justin Stark
Mid-Level
API development
Backend
Scala
38
60
Neutral
18
null
368
6
5
50%
High
Positive
75%
Justin Stark
Mid-Level
Server provisioning and configuration
DevOps
Prometheus
46
75
Negative
11
null
675
3
5
55%
Medium
Positive
70%
Justin Stark
Junior
Computer Vision
Machine Learning
Python
25
45
Neutral
13
null
834
7
4
35%
Low
Negative
40%
Justin Stark
Mid-Level
Hyperparameter tuning
Machine Learning
Keras
69
55
Negative
17
null
384
7
1
40%
High
Negative
50%
Justin Stark
Senior
Third-party integrations
Backend
C#
108
85
Positive
15
null
981
6
2
60%
Low
Negative
80%
Justin Stark
Mid-Level
Computer Vision
Machine Learning
NumPy
72
60
Neutral
14
null
706
4
5
55%
Medium
Positive
75%
Justin Stark
Mid-Level
Push notifications
Mobile
Flutter
65
45
Neutral
16
null
204
2
3
50%
High
Negative
40%
Justin Stark
Junior
ORM/ODM (e.g., SQLAlchemy, Mongoose)
Backend
Go
19
45
Positive
11
null
843
5
1
45%
Medium
Positive
45%
Justin Stark
Junior
Model deployment and serving
Machine Learning
Keras
18
30
Negative
20
null
217
6
1
45%
High
Negative
50%
Justin Stark
Junior
Background processing/jobs
Backend
Scala
14
40
Positive
14
null
211
0
5
30%
Low
Positive
45%
Justin Stark
Senior
Data validation and sanitization
Backend
Node.js
123
80
Neutral
13
null
175
3
1
80%
Low
Positive
85%
Joy Rogers
Mid-Level
Scalability and performance optimization
Backend
C#
46
60
Negative
10
null
121
9
2
70%
Low
Positive
75%
Joy Rogers
Mid-Level
Third-party integrations
Backend
PHP
65
80
Negative
18
null
988
0
2
40%
Low
Negative
75%
Joy Rogers
Senior
Load balancing and scaling
DevOps
Docker
81
70
Negative
5
null
871
9
3
70%
High
Positive
60%
Joy Rogers
Mid-Level
Security and compliance
DevOps
ELK Stack
61
45
Positive
17
null
792
3
1
75%
High
Negative
75%
Joy Rogers
Junior
Cloud platforms (e.g., AWS, Azure, GCP)
DevOps
Docker
1
40
Neutral
5
null
389
6
5
45%
Low
Negative
30%
Joy Rogers
Senior
Scalability and performance optimization
Backend
GraphQL
105
90
Positive
17
null
201
1
2
70%
Medium
Negative
85%
Joy Rogers
Mid-Level
Mobile app security
Mobile
Xamarin
44
55
Neutral
16
null
965
2
4
75%
Medium
Positive
50%
Joy Rogers
Senior
Computer Vision
Machine Learning
pandas
83
90
Negative
6
null
172
9
2
90%
Medium
Negative
95%
Joy Rogers
Junior
Cross-platform mobile development (e.g., Flutter, React Native)
Mobile
Kotlin
19
30
Neutral
10
null
802
4
3
30%
High
Positive
45%
Joy Rogers
Mid-Level
Push notifications
Mobile
NativeScript
56
70
Neutral
16
null
346
7
4
40%
High
Negative
60%
Joy Rogers
Junior
Deep learning models (e.g., neural networks)
Machine Learning
TensorFlow
6
30
Negative
16
null
476
8
2
40%
Low
Negative
40%
Joy Rogers
Senior
Mobile app security
Mobile
React Native
82
95
Negative
7
null
227
0
3
85%
Low
Negative
80%
Joy Rogers
Mid-Level
Mobile app testing and debugging
Mobile
PhoneGap
49
80
Positive
8
null
998
0
5
40%
Medium
Negative
75%
Joy Rogers
Senior
Mobile app UI/UX design
Mobile
Ionic
91
80
Negative
7
null
421
1
5
85%
Medium
Positive
80%
Vincent Rhodes
Mid-Level
Push notifications
Mobile
Kotlin
63
45
Neutral
11
null
576
8
4
55%
High
Negative
70%
Vincent Rhodes
Mid-Level
Caching strategies
Backend
PHP
63
75
Neutral
15
null
632
4
2
50%
Medium
Negative
80%
Vincent Rhodes
Junior
Mobile app security
Mobile
NativeScript
23
35
Positive
16
null
570
1
2
50%
Medium
Negative
45%
Vincent Rhodes
Junior
Mobile app security
Mobile
PhoneGap
8
40
Negative
16
null
400
6
1
50%
Low
Negative
45%
Vincent Rhodes
Senior
Backup and disaster recovery
DevOps
Terraform
128
90
Negative
5
null
786
4
3
80%
High
Positive
70%
Vincent Rhodes
Junior
Security and encryption
Backend
Python
14
30
Positive
15
null
820
3
5
40%
Low
Positive
30%
Vincent Rhodes
Junior
Continuous Integration and Deployment (CI/CD)
DevOps
Docker
13
50
Positive
20
null
166
1
1
40%
Medium
Negative
45%
Vincent Rhodes
Senior
Authentication and authorization
Backend
Java
123
90
Negative
11
null
774
2
2
60%
Low
Positive
90%
Vincent Rhodes
Mid-Level
Server provisioning and configuration
DevOps
Ansible
65
50
Positive
20
null
960
1
2
80%
Medium
Negative
75%
Vincent Rhodes
Senior
Cross-platform mobile development (e.g., Flutter, React Native)
Mobile
Swift
94
95
Neutral
7
null
126
4
5
75%
High
Negative
85%
Vincent Rhodes
Senior
Browser compatibility
Frontend
Bootstrap
78
80
Positive
19
null
649
1
1
60%
High
Negative
95%
Vincent Rhodes
Junior
Transfer learning
Machine Learning
pandas
19
30
Neutral
14
null
750
0
4
40%
Low
Negative
40%
Vincent Rhodes
Junior
Caching strategies
Backend
C#
12
45
Negative
19
null
655
0
2
30%
Medium
Positive
45%
Vincent Rhodes
Mid-Level
Log aggregation and analysis
DevOps
Prometheus
68
50
Negative
7
null
449
4
5
80%
Low
Positive
60%
Vincent Rhodes
Senior
Model training and evaluation
Machine Learning
pandas
133
85
Negative
19
null
942
2
4
95%
Medium
Negative
60%
Vincent Rhodes
Senior
Database design and management
Backend
Kotlin
113
70
Positive
15
null
492
1
4
85%
Low
Positive
95%
Vincent Rhodes
Mid-Level
User interface design
Frontend
Bootstrap
68
60
Positive
16
null
760
2
1
75%
Low
Positive
50%
Vincent Rhodes
Junior
Continuous Integration and Deployment (CI/CD)
DevOps
Jenkins
6
40
Neutral
11
null
392
10
3
35%
Low
Negative
35%
Vincent Rhodes
Junior
Server-side programming (e.g., Python, Node.js)
Backend
PHP
25
30
Positive
7
null
902
5
5
40%
Low
Positive
35%
Vincent Rhodes
Senior
Containerization (e.g., Docker)
DevOps
Ansible
131
80
Negative
17
null
551
2
2
75%
Low
Negative
80%
Vincent Rhodes
Mid-Level
Hyperparameter tuning
Machine Learning
OpenCV
64
55
Neutral
17
null
697
3
1
70%
Low
Positive
75%
Vincent Rhodes
Mid-Level
Data validation and sanitization
Backend
Python
70
60
Negative
7
null
535
3
1
40%
Low
Positive
45%
Vincent Rhodes
Junior
Natural Language Processing (NLP)
Machine Learning
NumPy
1
50
Positive
14
null
209
4
5
40%
High
Negative
40%
Vincent Rhodes
Mid-Level
Mobile app UI/UX design
Mobile
Flutter
63
60
Negative
15
null
809
2
4
60%
Low
Negative
45%
Vincent Rhodes
Junior
Orchestration (e.g., Kubernetes)
DevOps
Terraform
13
45
Neutral
5
null
427
3
4
50%
Low
Negative
40%
Vincent Rhodes
Senior
Automated testing and deployment pipelines
DevOps
Docker
74
80
Negative
7
null
286
6
4
80%
High
Positive
60%
Vincent Rhodes
Senior
Component-based architecture
Frontend
Sass
87
70
Neutral
12
null
434
10
3
95%
Low
Positive
60%
Vincent Rhodes
Junior
Mobile app deployment to app stores
Mobile
Ionic
33
35
Negative
8
null
187
9
2
45%
Medium
Negative
40%
Vincent Rhodes
Senior
State management (e.g., Redux, Vuex)
Frontend
React
138
75
Positive
15
null
227
3
5
70%
High
Positive
95%
Vincent Rhodes
Junior
Data preprocessing and cleaning
Machine Learning
TensorFlow
19
50
Positive
7
null
826
1
4
30%
High
Positive
35%
Jeffrey Phillips
Junior
Load balancing and scaling
DevOps
GitLab CI/CD
14
35
Positive
6
null
333
0
4
35%
Medium
Positive
50%
Jeffrey Phillips
Senior
Offline data storage and synchronization
Mobile
PhoneGap
129
85
Neutral
6
null
708
10
4
90%
High
Negative
60%
Jeffrey Phillips
Mid-Level
Mobile app UI/UX design
Mobile
React Native
46
50
Neutral
5
null
561
3
1
75%
Medium
Negative
60%
Jeffrey Phillips
Senior
Mobile app UI/UX design
Mobile
PhoneGap
115
95
Negative
13
null
208
8
2
70%
High
Positive
80%
Jeffrey Phillips
Senior
Server provisioning and configuration
DevOps
Prometheus
124
80
Negative
11
null
162
4
2
80%
Medium
Positive
80%
Jeffrey Phillips
Junior
Orchestration (e.g., Kubernetes)
DevOps
GitLab CI/CD
21
45
Positive
20
null
950
0
5
40%
High
Negative
40%
Jeffrey Phillips
Junior
JavaScript/jQuery
Frontend
Vue.js
18
40
Neutral
20
null
120
3
1
35%
High
Negative
50%
Jeffrey Phillips
Senior
Scalability and performance optimization
Backend
PHP
93
75
Negative
15
null
221
9
4
70%
Medium
Positive
70%
Jeffrey Phillips
Mid-Level
Natural Language Processing (NLP)
Machine Learning
pandas
52
40
Negative
9
null
673
2
5
60%
Low
Negative
50%
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