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autotrain-data-procell-expert

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Text Classification
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autotrain-data-procell-expert / README.md
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metadata
task_categories:
  - text-classification

AutoTrain Dataset for project: procell-expert

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project procell-expert.

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": "We studied the antitumor activity and toxicity of ZD1694 (tomudex), a specific inhibitor of thymidyl[...]",
    "target": 0
  },
  {
    "text": "Here we provide data that human prostate cancer cell lines express the platelet-type isoform of 12-L[...]",
    "target": 0
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=2, names=['accept', 'reject'], 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 155
valid 40