README.md

metadata

task_categories:
  - summarization

AutoTrain Dataset for project: flan-large-conv

Dataset Description

This dataset has been automatically processed by AutoTrain for project flan-large-conv.

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "text": "What is the largest insect in the world?",
    "target": "The largest insect in the world is the Goliath Beetle."
  },
  {
    "text": "What is the largest amphibian in the world?",
    "target": "The largest amphibian in the world is the Chinese giant salamander."
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "text": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name	Num samples
train	158
valid	40