The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ValueError
Message:      Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('arrow', {}), NamedSplit('validation'): ('json', {})}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1846, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1821, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 589, in infer_module_for_data_files
                  raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}")
              ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('arrow', {}), NamedSplit('validation'): ('json', {})}

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AutoTrain Dataset for project: sexual-content-classification

Dataset Description

This dataset has been automatically processed by AutoTrain for project sexual-content-classification.

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": "You're No Good: was covered in a College babes fucks with the neighbor  charting version by which soul singer and pianist?",
    "target": 1
  },
  {
    "text": "AT first \u201cthe button\u201d seemed like an April Fools\u2019 joke.\n\nNow, 13 days later, Reddit\u2019s social experiment is still holding momentum.\n\nThe button feature was added to Reddit on April 1 and contains a timer which counts down from 60 seconds to zero.\n\nHowever, every time the button is pushed, the timer is reset.\n\nAlthough Reddit users have been speculating the reason for the experiment, no one knows its specific purpose.\n\nAdditionally, no one is aware what will happen when the countdown reaches zero because the timer is yet to fall below 29 seconds.\n\nRedditors can only use the feature if they were a member of the website before April 1 and they can only push the button once.\n\nAs of this afternoon, over 711,000 members have pushed the button.\n\nSince its inception, members have received coloured circles next to their username which indicate how long they waited to push the button.\n\nThose who don\u2019t push the button receive a grey circle, while those who give in to temptation receive circles ranging from purple all the way down to red.\n\nTo date, no one has waited past the time restrictions of yellow meaning there are no orange or red circles floating around Reddit.\n\nHowever, one can only assume interest will eventually disappear and the true purpose of the button will be revealed.\n\nThink about this: for the past 12 days someone on Earth has pressed a button every 30 sec or so. http://t.co/7ALLYeWB7i #TheButton @reddit \u2014 Zach's Mind (@ZachsMind) April 13, 2015\n\nThe fact that I've been watching #thebutton for 11 days is starting to concern me. \u2014 ConvertToChris (@converttochris) April 12, 2015\n\nI only date people who have not pressed #TheButton \u2014 Pyro (@Pyrao) April 11, 2015",
    "target": 0
  }
]

Dataset Fields

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

{
  "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 568324
valid 142082
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