https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
A collection of Resume Examples taken from livecareer.com for categorizing a given resume into any of the labels defined in the dataset.
Contains 2400+ Resumes in string as well as PDF format. PDF stored in the data folder differentiated into their respective labels as folders with each resume residing inside the folder in pdf form with filename as the id defined in the csv.
Inside the CSV: - ID: Unique identifier and file name for the respective pdf. - Resume_str : Contains the resume text only in string format. - Resume_html : Contains the resume data in html format as present while web scrapping. - Category : Category of the job the resume was used to apply.
Present categories are HR, Designer, Information-Technology, Teacher, Advocate, Business-Development, Healthcare, Fitness, Agriculture, BPO, Sales, Consultant, Digital-Media, Automobile, Chef, Finance, Apparel, Engineering, Accountant, Construction, Public-Relations, Banking, Arts, Aviation
Data was obtained by scrapping individual resume examples from www.livecareer.com website. Web Scrapping code present in my Github Repo.
https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/
Dataset Card for Resume Dataset
Dataset Summary
Context
A collection of Resume Examples taken from livecareer.com for categorizing a given resume into any of the labels defined in the dataset.
Content
Contains 2400+ Resumes in string as well as PDF format. PDF stored in the data folder differentiated into their respective labels as folders with each resume residing inside the folder in pdf form with filename as the id defined in the csv. Inside the… See the full description on the dataset page: https://huggingface.co/datasets/opensporks/resumes.
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https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
A collection of Resume Examples taken from livecareer.com for categorizing a given resume into any of the labels defined in the dataset.
Contains 2400+ Resumes in string as well as PDF format. PDF stored in the data folder differentiated into their respective labels as folders with each resume residing inside the folder in pdf form with filename as the id defined in the csv.
Inside the CSV: - ID: Unique identifier and file name for the respective pdf. - Resume_str : Contains the resume text only in string format. - Resume_html : Contains the resume data in html format as present while web scrapping. - Category : Category of the job the resume was used to apply.
Present categories are HR, Designer, Information-Technology, Teacher, Advocate, Business-Development, Healthcare, Fitness, Agriculture, BPO, Sales, Consultant, Digital-Media, Automobile, Chef, Finance, Apparel, Engineering, Accountant, Construction, Public-Relations, Banking, Arts, Aviation
Data was obtained by scrapping individual resume examples from www.livecareer.com website. Web Scrapping code present in my Github Repo.