metadata
size_categories: n<1K
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': family-harmony
'1': career-enhancement
'2': wealth-accumulation
'3': physical-space-optimization
splits:
- name: train
num_bytes: 3005
num_examples: 10
download_size: 4640
dataset_size: 3005
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
Dataset Card for my-distiset-55a6b53b
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml
which can be used to reproduce the pipeline that generated it in distilabel using the distilabel
CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/davelsphere/my-distiset-55a6b53b/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/davelsphere/my-distiset-55a6b53b/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 1,
"text": "I\u0027ve been struggling to find a high-paying job in finance, and my career stagnated despite having a degree from a reputable university. I\u0027d like to know if my current home office setup is affecting my career prospects."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("davelsphere/my-distiset-55a6b53b", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("davelsphere/my-distiset-55a6b53b")