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citation (string)description (string)features (dict)homepage (string)license (string)splits (dict)_data_files (list)_fingerprint (string)_format_columns (sequence)_format_kwargs (dict)_format_type (null)_indexes (dict)_output_all_columns (bool)_split (null)
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"AutoTrain generated dataset"
{ "target": { "dtype": "string", "_type": "Value" }, "source": { "dtype": "string", "_type": "Value" } }
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{ "train": { "name": "train", "num_bytes": 1236600, "num_examples": 16824, "dataset_name": null } }
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[ { "filename": "dataset.arrow" } ]
"e485dc1c499a20c5"
[ "source", "target" ]
{}
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{}
false
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AutoTrain Dataset for project: english-tokipona

Dataset Description

This dataset has been automatically processed by AutoTrain for project english-tokipona.

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "target": "mi kama jo e pali ante.",
    "source": "I'll find another job."
  },
  {
    "target": "tenpo pini weka la mi moku lon poka sina.",
    "source": "It's been a while since we've had lunch together."
  }
]

Dataset Fields

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

{
  "target": "Value(dtype='string', id=None)",
  "source": "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 16824
valid 4206
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