# 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:

```json
[
  {
    "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"):

```json
{
  "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 |

task_categories:translation language:en language:ar region:us
{"language": ["en", "ar"], "task_categories": ["translation"]}
TAGS
#task_categories-translation #language-English #language-Arabic #region-us 

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:


### Dataset Fields


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


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


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


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#task_categories-translation #language-English #language-Arabic #region-us 
 ### Languages


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


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#task_categories-translation #language-English #language-Arabic #region-us 
### Languages


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


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow: