metadata
language:
- en
size_categories: n<1K
dataset_info:
features:
- name: text
dtype: string
- name: labels
sequence:
class_label:
names:
'0': feedback
'1': question
'2': greeting
'3': complaint
splits:
- name: train
num_bytes: 99754
num_examples: 499
download_size: 43026
dataset_size: 99754
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
Dataset Card for intent-classification
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/Dev523/intent-classification/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/Dev523/intent-classification/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"labels": [
1,
3
],
"text": "I recently purchased a product from your company, but it didn\u0027t meet my expectations. The material was flimsy and the design was not as sleek as I thought it would be."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("Dev523/intent-classification", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("Dev523/intent-classification")