README.md

metadata

task_categories:
  - summarization

AutoTrain Dataset for project: finalbartmodel

Dataset Description

This dataset has been automatically processed by AutoTrain for project finalbartmodel.

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": "Four people standing in an enclosure with a sign that says \" The Human Shop \" on it . The Human Shop",
    "feat_Unnamed: 1": null,
    "target": "Four people standing in an enclosure with a sign that says \" The Human Shop \" on it . ",
    "feat_Unnamed: 3": null,
    "feat_Unnamed: 4": null,
    "feat_Unnamed: 5": null,
    "feat_Unnamed: 6": null,
    "feat_Unnamed: 7": null,
    "feat_Unnamed: 8": null,
    "feat_Unnamed: 9": null,
    "feat_Unnamed: 10": null,
    "feat_Unnamed: 11": null,
    "feat_Unnamed: 12": null,
    "feat_Unnamed: 13": null,
    "feat_Unnamed: 14": null,
    "feat_Unnamed: 15": null
  },
  {
    "text": "a man carrying a sign that says free hug along the sidewalk .Free hugs",
    "feat_Unnamed: 1": null,
    "target": "a man carrying a sign that says free hug along the sidewalk .",
    "feat_Unnamed: 3": null,
    "feat_Unnamed: 4": null,
    "feat_Unnamed: 5": null,
    "feat_Unnamed: 6": null,
    "feat_Unnamed: 7": null,
    "feat_Unnamed: 8": null,
    "feat_Unnamed: 9": null,
    "feat_Unnamed: 10": null,
    "feat_Unnamed: 11": null,
    "feat_Unnamed: 12": null,
    "feat_Unnamed: 13": null,
    "feat_Unnamed: 14": null,
    "feat_Unnamed: 15": null
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "feat_Unnamed: 1": "Value(dtype='float64', id=None)",
  "target": "Value(dtype='string', id=None)",
  "feat_Unnamed: 3": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 4": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 5": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 6": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 7": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 8": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 9": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 10": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 11": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 12": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 13": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 14": "Value(dtype='float64', id=None)",
  "feat_Unnamed: 15": "Value(dtype='float64', 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	408
valid	102