C0ldSmi1e/resume-dataset
Resume Dataset Dataset Description This dataset contains resume data for different job categories with skills, education, and experience information that can be used for resume classification or career prediction applications. Data Structure This dataset is stored in CSV format with the following columns: id: Unique identifier for each resume category: Job category or field (e.g., HR, IT, Marketing) skills: Comma-separated list of skills mentioned… See the full description on the dataset page: https://huggingface.co/datasets/C0ldSmi1e/resume-dataset.
Resume Dataset
Dataset Description
This dataset contains resume data for different job categories with skills, education, and experience information that can be used for resume classification or career prediction applications.
Data Structure
This dataset is stored in CSV format with the following columns:
id: Unique identifier for each resumecategory: Job category or field (e.g., HR, IT, Marketing)skills: Comma-separated list of skills mentioned in the resumeeducation: Comma-separated list of education qualificationsexperience: Comma-separated list of job experiences
Dataset Splits
train: Main training dataseteval: Evaluation dataset (last 200 samples)
Usage
You can load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
# Load the entire dataset
dataset = load_dataset("C0ldSmi1e/resume-dataset")
# Access specific splits
train_data = dataset["train"]
eval_data = dataset["eval"]
# Check the columns
print(train_data.column_names)
# Access a sample entry
print(train_data[0])