metadata
size_categories: n<1K
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': account-related
'1': card-related
'2': other-issue
'3': loan-related
'4': online-banking
splits:
- name: train
num_bytes: 19287
num_examples: 100
download_size: 10412
dataset_size: 19287
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
Dataset Card for my-distiset-9aa9e4ae
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/vivekjaina/my-distiset-9aa9e4ae/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/vivekjaina/my-distiset-9aa9e4ae/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 4,
"text": "I\u0027m having trouble accessing my account online because I\u0027ve forgotten my password and the reset link isn\u0027t working. Can I get some help with resetting it?"
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("vivekjaina/my-distiset-9aa9e4ae", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("vivekjaina/my-distiset-9aa9e4ae")