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---
task_categories:
- translation
---
# 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 |
|