metadata

language:
  - en
task_categories:
  - text-classification

AutoTrain Dataset for project: twitter-disaster-v2

Dataset Description

This dataset has been automatically processed by AutoTrain for project twitter-disaster-v2.

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "feat_id": 1,
    "feat_keyword": null,
    "feat_location": null,
    "text": "Our Deeds are the Reason of this #earthquake May ALLAH Forgive us all",
    "target": 1
  },
  {
    "feat_id": 4,
    "feat_keyword": null,
    "feat_location": null,
    "text": "Forest fire near La Ronge Sask. Canada",
    "target": 1
  }
]

Dataset Fields

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

{
  "feat_id": "Value(dtype='int64', id=None)",
  "feat_keyword": "Value(dtype='string', id=None)",
  "feat_location": "Value(dtype='string', id=None)",
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['0', '1'], 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	7613
valid	0