Datasets:

nikhilnalawade
/

data_jobs

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 16 new columns ({'job_schedule_type', 'job_health_insurance', 'job_type_skills', 'job_via', 'job_title_short', 'job_country', 'job_location', 'job_work_from_home', 'job_skills', 'salary_rate', 'salary_year_avg', 'salary_hour_avg', 'job_no_degree_mention', 'job_posted_date', 'job_title', 'search_location'}) and 1 missing columns ({'company_id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/nikhilnalawade/data_jobs/data/job_postings.csv (at revision 7aa52ef3ea7165f9f692550d7ef863c2af7c0156), ['hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/companies.csv', 'hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/job_postings.csv', 'hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/job_skills.csv', 'hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/salaries.csv', 'hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/skills.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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              job_title_short: string
              job_title: string
              job_location: string
              job_via: string
              job_schedule_type: string
              job_work_from_home: bool
              search_location: string
              job_posted_date: string
              job_no_degree_mention: bool
              job_health_insurance: bool
              job_country: string
              salary_rate: string
              salary_year_avg: double
              salary_hour_avg: double
              company_name: string
              job_skills: string
              job_type_skills: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2444
              to
              {'company_id': Value('int64'), 'company_name': 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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 16 new columns ({'job_schedule_type', 'job_health_insurance', 'job_type_skills', 'job_via', 'job_title_short', 'job_country', 'job_location', 'job_work_from_home', 'job_skills', 'salary_rate', 'salary_year_avg', 'salary_hour_avg', 'job_no_degree_mention', 'job_posted_date', 'job_title', 'search_location'}) and 1 missing columns ({'company_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/nikhilnalawade/data_jobs/data/job_postings.csv (at revision 7aa52ef3ea7165f9f692550d7ef863c2af7c0156), ['hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/companies.csv', 'hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/job_postings.csv', 'hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/job_skills.csv', 'hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/salaries.csv', 'hf://datasets/nikhilnalawade/data_jobs@7aa52ef3ea7165f9f692550d7ef863c2af7c0156/data/skills.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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company_id int64	company_name string
1	Boehringer Ingelheim
2	Hewlett Packard Enterprise
3	ALPHA Augmented Services
4	Southwest Research Institute
5	Kristina Daniel
6	smart folks inc
7	Miracle Software Systems, Inc
8	Zitec
9	Hempel
10	Radwell International, LLC
11	ROCKEN®
12	Philips
13	Engie
14	Nayya
15	Oowlish
16	Orion Group
17	Hexaware Technologies
18	Johns Hopkins Applied Physics Laboratory
19	Glovo
20	Bitwise Solutions
21	Devoteam
22	Credit Agricole
23	onepoint
24	Грешнев Олег Владимирович
25	Semrush
26	United Overseas Bank
27	Infinite Computer Solutions
28	Altos Labs
29	Netskope
30	Exusia
31	Capital One
32	GROUPE BON MARCHÉ : Le Bon Marché Rive Gauche et La Grande Epicerie de Paris.
33	MCKESSON
34	Eolas Recruitment
35	DEFACTO GmbH
36	Mars
37	Assuredpartners
38	American Family Mutual Insurance Company
39	Jones Lang LaSalle IP, Inc
40	Programmers.io
41	Abbott
42	Appalachian Regional Healthcare
43	CESIT
44	Phaxis
45	Binance
46	Corecom Consulting
47	Agoda
48	Agensi Pekerjaan BTC Sdn Bhd
49	Zipdev
50	Sage
51	BenchSci
52	Aditi Consulting
53	Mavinsys
54	Verkada
55	PwC
56	Thermo Fisher Scientific
57	Eightroom
58	Europcar Mobility Group
59	Iris Software Inc.
60	Copart
61	Divisions Maintenance Group
62	ClosedLoop
63	Qptech Ltd
64	Stepstone GmbH
65	Fulcrum Digital Inc.
66	Innover
67	Kepler Cheuvreux
68	Johns Hopkins Medicine
69	Swedbank
70	Oracle
71	ironSource
72	Diageo
73	Soft Magic
74	ttgTalentSolutions
75	Infineon Technologies AG
76	Support Shepherd
77	Intelletec
78	SIXT Germany
79	Nesco Resource
80	Ford Motor Company
81	027 Parks Culture and Sport
82	Siemens
83	2U
84	Pfizer
85	Haiper
86	Smartfox LLC
87	GovTech Singapore
88	Gorilla Logic
89	Concurrent Technologies Corporation
90	Talently
91	Apex Systems
92	Get It Recruit - Information Technology
93	Adobe
94	Crimson Interactive Inc
95	King's Hawaiian
96	Solihull Metropolitan Borough Council
97	MUFG Investor Services
98	TikTok
99	Moovaz
100	Avangarde Consulting

End of preview.

Data Jobs Dataset

Dataset Description

This dataset contains job postings for data-related roles including Data Analyst, Data Scientist, Data Engineer, Business Analyst, and Machine Learning Engineer.

It is intended for:

SQL practice
Python data analysis
Power BI dashboards
Machine learning
Salary analysis
Job market research

Files

File	Description
job_postings.csv	Main job postings table
companies.csv	Company information
skills.csv	List of unique skills
job_skills.csv	Mapping between jobs and skills
salaries.csv	Salary information

Usage

from datasets import load_dataset

dataset = load_dataset("nikhilnalawade/data_jobs")

License

MIT

Downloads last month: 63

Total file size:

287 MB