metadata
dataset_info:
features:
- name: persona
dtype: string
splits:
- name: train
num_bytes: 646990.11445
num_examples: 6731
download_size: 386010
dataset_size: 646990.11445
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
PersonaHub with Business Keywords
Filter from https://huggingface.co/datasets/proj-persona/PersonaHub
I am using this code to filter the dataset
from datasets import load_dataset, Dataset
import random
# Load the original dataset
dataset = load_dataset('proj-persona/PersonaHub','persona',split='train')
def filter_keywords(example):
keywords=["business","management"]
persona = example['persona'].lower()
return any(keyword in persona for keyword in keywords)
# Apply the filter
filtered_dataset = dataset.filter(filter_keywords)
# Print the filtered dataset
print(filtered_dataset)