metadata

task_categories:
  - conditional-text-generation

AutoTrain Dataset for project: led-samsum-dialogsum

Dataset Description

This dataset has been automatically processed by AutoTrain for project led-samsum-dialogsum.

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "feat_Unnamed: 0": 0,
    "feat_id": 0,
    "text": "Amanda: I baked  cookies. Do you want some?\nJerry: Sure!\nAmanda: I'll bring you tomorrow :-)",
    "target": "Amanda baked cookies and will bring Jerry some tomorrow."
  },
  {
    "feat_Unnamed: 0": 1,
    "feat_id": 1,
    "text": "Olivia: Who are you voting for in this election? \nOliver: Liberals as always.\nOlivia: Me too!!\nOliver: Great",
    "target": "Olivia and Olivier are voting for liberals in this election. "
  }
]

Dataset Fields

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

{
  "feat_Unnamed: 0": "Value(dtype='int64', id=None)",
  "feat_id": "Value(dtype='int64', id=None)",
  "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	27191
valid	1318