# AutoTrain Dataset for project: text2itinerary-exp-26-1000

## Dataset Description

This dataset has been automatically processed by AutoTrain for project text2itinerary-exp-26-1000.

### 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
[
  {
    "text": "\ud589\uc0ac \uc81c\ubaa9\n[\ud50c\uce5c/\uc655\uc758\uadc0\ud658\uc2e4\uc18d/\ubc29\ucf55\ud30c\ud0c0\uc57c5\uc77c]\uc54c\ucc2c\uad00\uad11+$170\uc0c1\ub2f9\ud2b9\uc804(\ub7ed\uc154\ub9ac\uc694\ud2b8\ud06c\ub8e8\uc988,\uc2a4\ub178\ud074\ub9c1,\uc804\uc2e0\ub9c8\uc0ac\uc9c0\ud3ec\ud568)\n\uc5ec\ud589\uc9c0\n\ubc29\ucf55|\ud30c\ud0c0\uc57c\n\ube10\ub958\nACCOMMODATION\n\uc77c\ucc28\n2\n\uc21c\uc11c\n5\n\uc81c\ubaa9\n\ud574\ub2f9 \uc77c\uc758 \uc219\ubc15\uc2dc\uc124\uc740 \ud604\uc7ac \ubbf8\uc815\uc785\ub2c8\ub2e4. \ucd9c\ubc1c 1\uc77c\uc804\uae4c\uc9c0 \ud648\ud398\uc774\uc9c0\ub97c \ud1b5\ud574 \uc54c\ub824\ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4.\n\uc0c1\uc138\n* TITLE: [\uc219\ubc15] \uc544\uc774\uc57c\ub77c \uadf8\ub79c\ub4dc \ud30c\ud0c0\uc57c \ud638\ud154* PLACE_IDX: 44359* APPROVAL: 0* ADDRESS: 338/118 Moo. 12  Pratamnak Rd. $%T. Nongpure A. Banglamung Chonburi Thailand 20150* URL: http://www.aiyaragrand.com/\n* TITLE: [\uc219\ubc15] LK \uc140\ub808\ud0c0\uc774 \ud638\ud154* PLACE_IDX: 56825* APPROVAL: 0* ADDRESS: 45/97-99 ??????? 10 Bang Lamung District  Chon Buri 20150 \ud0dc\uad6d* URL: https://lkpattaya.com/rs/package.php?c=1&hotel_session=LK%20Celestite\n* TITLE: [\uc219\ubc15] \uc5e0\ud30c\ud0c0\uc57c\ud638\ud154* PLACE_IDX: 65714* APPROVAL: 0* ADDRESS: 571/112 Moo 5  Naklua Road  Banglamung  Chonburi 20150* URL: http://www.mhotel.co.th/\n* TITLE: [\uc219\ubc15] \uc5d0\uc774\uc6d0\ub274\uc719 \ud30c\ud0c0\uc57c* PLACE_IDX: 56698* APPROVAL: 0* ADDRESS: 500-501 North Pattaya  Banglamung  Chonburi 20150* URL: http://www.a-onenewwingpattaya.com/\n* TITLE: [\uc219\ubc15] \uc13c\ud130\ud3ec\uc778\ud2b8\ud638\ud154 \ud30c\ud0c0\uc57c* PLACE_IDX: 65498* APPROVAL: 0* ADDRESS: 275 Moo 6  Sukhumvit Road Naklua  Bang Lamung District  Chon Buri 20150 \ud0dc\uad6d* URL: http://www.centrepoint.com/pattaya\n",
    "target": "\uc544\uc774\uc57c\ub77c \uadf8\ub79c\ub4dc \ud638\ud154\ud83c\udff7344\ud83c\udff7ACCOMMODATION\ud83d\udd0dNULL\nLK \uc140\ub808\uc2a4\ud0c0\uc774\ud2b8\ud83c\udff71370\ud83c\udff7ACCOMMODATION\ud83d\udd0dNULL\n\uc5e0 \ud30c\ud0c0\uc57c \ud638\ud154\ud83c\udff71371\ud83c\udff7ACCOMMODATION\ud83d\udd0dNULL\n\uc5d0\uc774-\uc6d0 \ub354 \ub85c\uc584 \ud06c\ub8e8\uc988 \ud638\ud154\ud83c\udff7592\ud83c\udff7ACCOMMODATION\ud83d\udd0dNULL\n\uc13c\ud130 \ud3ec\uc778\ud2b8 \ud504\ub77c\uc784 \ud638\ud154 \ud30c\ud0c0\uc57c\ud83c\udff71430\ud83c\udff7ACCOMMODATION\ud83d\udd0dNULL"
  },
  {
    "text": "\ud589\uc0ac \uc81c\ubaa9\n\u2665 \ubca0\uc2a4\ud2b8\uc140\ub7ec \u2665 \ub7ed\uc154\ub9ac \ud2b8\ub7fc\ud504 \uc640\uc774\ud0a4\ud0a4 [\uc288\ud398\ub9ac\uc5b4\uc624\uc158\ubdf0] \ud558\uc640\uc774 \ud5c8\ub2c8\ubb38 6\uc77c\n\uc5ec\ud589\uc9c0\n\ud558\uc640\uc774\n\ube10\ub958\nOTHERS\n\uc77c\ucc28\n6\n\uc21c\uc11c\n16\n\uc81c\ubaa9\n\uc778\ucc9c\uacf5\ud56d \ub3c4\ucc29 Mahalo \u2661 \ud589\ubcf5\ud55c \uacb0\ud63c \uc0dd\ud65c \ub418\uc138\uc694 \u2661\n\uc0c1\uc138\n\uc778\ucc9c\uacf5\ud56d \ub3c4\ucc29 Mahalo \u2661 \ud589\ubcf5\ud55c \uacb0\ud63c \uc0dd\ud65c \ub418\uc138\uc694 \u2661\n",
    "target": "\uc778\ucc9c\ud83c\udff7971\ud83c\udff7AIRPORT\ud83d\udd0d\ub3c4\ucc29"
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "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        | 6512 |
| valid        | 814 |

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

AutoTrain Dataset for project: text2itinerary-exp-26-1000
=========================================================


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


This dataset has been automatically processed by AutoTrain for project text2itinerary-exp-26-1000.


### 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-summarization #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-summarization #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: