# AutoTrain Dataset for project: t5-autotrain

## Dataset Description

This dataset has been automatically processed by AutoTrain for project t5-autotrain.

### Languages

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

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "target": "SHOULD I WEAR A COAT TODAY ?",
    "source": "Kya mujhe aj coat pehena chahiye ?",
    "feat_en_parse": "[IN:GET_WEATHER SHOULD I WEAR A [SL:WEATHER_ATTRIBUTE COAT ] [SL:DATE_TIME TODAY ] ? ]",
    "feat_cs_parse": "[IN:GET_WEATHER Kya mujhe [SL:DATE_TIME aj ] [SL:WEATHER_ATTRIBUTE coat ] pehena chahiye ? ]",
    "feat_domain": "weather"
  },
  {
    "target": "Label my timer as Gym Timer",
    "source": "Mere timer ko Gym Timer ka label dijiye",
    "feat_en_parse": "[IN:UNSUPPORTED_TIMER Label my timer as Gym Timer ]",
    "feat_cs_parse": "[IN:UNSUPPORTED_TIMER Mere timer ko Gym Timer ka label dijiye ]",
    "feat_domain": "timer"
  }
]
```

### Dataset Fields

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

```json
{
  "target": "Value(dtype='string', id=None)",
  "source": "Value(dtype='string', id=None)",
  "feat_en_parse": "Value(dtype='string', id=None)",
  "feat_cs_parse": "Value(dtype='string', id=None)",
  "feat_domain": "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        | 2394 |
| valid        | 599 |

task_categories:translation region:us
{"task_categories": ["translation"]}
TAGS
#task_categories-translation #region-us 

AutoTrain Dataset for project: t5-autotrain
===========================================


Dataset Description
-------------------


This dataset has been automatically processed by AutoTrain for project t5-autotrain.


### Languages


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


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 unk.


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 #region-us 
 ### Languages


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


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 #region-us 
### Languages


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


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: