metadata

size_categories: n<1K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': negative
            '1': positive
            '2': neutral
  splits:
    - name: train
      num_bytes: 24194
      num_examples: 100
  download_size: 14264
  dataset_size: 24194
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/ameen2/my-distiset-9aa9e4ae/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/ameen2/my-distiset-9aa9e4ae/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "label": 2,
    "text": "The nuances of Arabic sentiment analysis necessitate a multifaceted approach, taking into account the complexities of diacritical marks and the subtle differences in verb conjugations, which can significantly impact the accuracy of machine learning models."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("ameen2/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("ameen2/my-distiset-9aa9e4ae")