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[Errno 39] Directory not empty: '/storage/hf-datasets-cache/medium/datasets/63175176430049-config-parquet-and-info-zwang199-autonlp-data-tra-00705cbf/zwang199___autonlp-data-traffic_nlp_binary/default/0.0.0/c574d814c1502e2cdbe22ad61ae0e56013f08a9a.incomplete'
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list
_fingerprint
string
_format_columns
sequence
_format_kwargs
dict
_format_type
null
_indexes
dict
_indices_data_files
null
_output_all_columns
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[ { "filename": "dataset.arrow" } ]
4f5d419c0d4247fe
[ "target", "text" ]
{}
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false
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AutoNLP Dataset for project: traffic_nlp_binary

Table of content

Dataset Descritpion

This dataset has been automatically processed by AutoNLP for project traffic_nlp_binary.

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": "1 train is still delayed in both directions",
    "target": 1
  },
  {
    "text": "maybe there was no train traffic ????. i know the feeling.",
    "target": 1
  }
]

Dataset Fields

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

{
  "target": "ClassLabel(num_classes=2, names=['0', '1'], names_file=None, id=None)",
  "text": "Value(dtype='string', 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 2195
valid 549
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Models trained or fine-tuned on zwang199/autonlp-data-traffic_nlp_binary