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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.

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Dataset Card

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 in the resume
  • —education: Comma-separated list of education qualifications
  • —experience: Comma-separated list of job experiences

Dataset Splits

  • —train: Main training dataset
  • —eval: Evaluation dataset (last 200 samples)

Usage

You can load this dataset using the Hugging Face datasets library:

python
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])