README.md

metadata

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:

[
  {
    "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"):

{
  "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