Datasetpublic

Gflorent/autotrain-data-quality-customer-reviews

AutoTrain Dataset for project: quality-customer-reviews Dataset Descritpion This dataset has been automatically processed by AutoTrain for project quality-customer-reviews. Languages The BCP-47 code for the dataset's language is en. Dataset Structure Data Instances A sample from this dataset looks as follows: [ { "text": " Love this truck, I think it is light years better than the competition. I have driven or… See the full description on the dataset page: https://huggingface.co/datasets/Gflorent/autotrain-data-quality-customer-reviews.

sourceHugging Faceupdated 4y agoView on Hugging Face

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Dataset Card

AutoTrain Dataset for project: quality-customer-reviews

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project quality-customer-reviews.

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

json

[
  {
    "text": " Love this truck, I think it is light years better than the competition. I have driven or owned all [...]",
    "target": 1
  },
  {
    "text": " I purchased this to haul our 4 horse trailer since the standard iterations of the domestic vehicles[...]",
    "target": 0
  }
]

Dataset Fields

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

json

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=5, names=['good', 'great', 'ok', 'poor', 'terrible'], 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	9166
valid	2295