_data_files list	_fingerprint string	_format_columns sequence	_format_kwargs dict	_format_type null	_output_all_columns bool	_split null
[ { "filename": "data-00000-of-00001.arrow" } ]	9d8f472c5e6090f9	[ "feat_sourceLang", "feat_targetlang", "source", "target" ]	{}	null	false	null

AutoTrain Dataset for project: fhdd_arabic_chatbot

Dataset Description

This dataset has been automatically processed by AutoTrain for project fhdd_arabic_chatbot.

Languages

The BCP-47 code for the dataset's language is en2ar.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "feat_sourceLang": "ara",
    "feat_targetlang": "eng",
    "target": "\u064a\u0646\u0628\u063a\u064a \u0623\u0646 \u062a\u064f\u0638\u0647\u0631 \u0627\u0644\u0646\u0651\u0633\u0627\u0621 \u0648\u062c\u0648\u0647\u0647\u0646\u0651.",
    "source": "Women should have their faces visible."
  },
  {
    "feat_sourceLang": "ara",
    "feat_targetlang": "eng",
    "target": "\u0623\u062a\u062f\u0631\u0633 \u0627\u0644\u0625\u0646\u062c\u0644\u064a\u0632\u064a\u0629\u061f",
    "source": "Do you study English?"
  }
]

Dataset Fields

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

{
  "feat_sourceLang": "Value(dtype='string', id=None)",
  "feat_targetlang": "Value(dtype='string', id=None)",
  "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	15622
valid	3906