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Datasets:
safufu
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autotrain-data-based-in-fact

Tasks:
Text Classification
Languages:
Chinese
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metadata
task_categories:
  - text-classification
language:
  - zh

AutoTrain Dataset for project: based-in-fact

Dataset Description

This dataset has been automatically processed by AutoTrain for project based-in-fact.

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": "\u4e0a\u4e2a\u5927\u5b66\u771f\u7684\u662f\u4ec0\u4e48\u4eba\u90fd\u70b8\u51fa\u6765\u4e86",
    "target": 0
  },
  {
    "text": "\u5982\u679c\u4e00\u4e2aHIV\u611f\u67d3\u8005\u5bf9\u4e8e\u6297\u9006\u8f6c\u5f55\u75c5\u6bd2\u836f\u7269\u5341\u5206\u8010\u53d7\uff0c\u90a3\u4e48\u4ed6\u7684\u6cbb\u7597\u4f1a\u53d8\u5f97\u5341\u5206\u590d\u6742\uff0c\u75c5\u60c5\u5c06\u6076\u5316",
    "target": 1
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['emotion', 'fact'], 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 30932
valid 3000