---
dataset_info:
  features:
  - name: document
    dtype: string
  - name: summary
    dtype: string
  splits:
  - name: train
    num_bytes: 23380
    num_examples: 100
  - name: validation
    num_bytes: 23634
    num_examples: 100
  - name: test
    num_bytes: 24038
    num_examples: 100
  download_size: 55197
  dataset_size: 71052
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---

# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

This is a tiny version of [https://huggingface.co/datasets/Harvard/gigaword](Harvard/gigaword), used for testing purposes.

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

This is a tiny version of [https://huggingface.co/datasets/Harvard/gigaword](Harvard/gigaword).

It was created by selecting only first 100 samples from each split.

- **Language(s) (NLP):** English

### Dataset Sources [optional]


## Uses

<!-- Address questions around how the dataset is intended to be used. -->

It is supposed be used only for testing purposes.

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

It is supposed be used only when you want to test that your code works.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

Dataset contains two string columns: `document` and `summary`. `document` shows source document, and `summary` is summarization of document.

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

To test code without waiting a long time to download gigawords.