> For the complete documentation index, see [llms.txt](https://docs.allganize.ai/nlu-api-dashboard/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.allganize.ai/nlu-api-dashboard/data-management/upload-data.md).

# Upload Data

## Upload Method

You can check the following data in the Dashboard data area.

* Data automatically uploaded through [**API integration**](/nlu-api-dashboard/getting-started/data-integration.md) 
* Data uploaded directly **via File uploading**
* Data uploaded directly through **Sentence input** 

{% hint style="info" %}
There are three upload methods, but they can all be browsed in one data area on Dashboard page.
{% endhint %}

<figure><img src="/files/76drcc0P8gNUvjtMzByk" alt=""><figcaption><p>GNB > Dashboard</p></figcaption></figure>

## Upload Data Settings&#x20;

When uploading a file, you can choose whether to use the data as training or test data in advance. By selecting the Train/Test option and uploading the file, the dashboard will be presented with the toggle on for each option.

#### RANDOM Setting&#x20;

If you select the RANDOM option when uploading a file, you can enter a percentage (%). Among the data in the file, the percentage entered (e.g. 20%) is randomly set as test data, and the remaining percentage (e.g. 80%) is set as training data.

<figure><img src="/files/cUXHIYiU8PpHvByhdQqf" alt=""><figcaption><p>GNB > Dashboard (&#x26; Inference) > Upload Phrases dialog</p></figcaption></figure>

After the upload is complete, you can check the Train/Test setting (toggle) status of each data in the dashboard.

### &#x20;Supported Upload Files

You can upload JSON, TXT/TSV, and XLSX files.

<figure><img src="/files/tFXxcCJFCliaLROwS6vY" alt=""><figcaption><p>GNB > Dashboard (&#x26; Inference) > Upload Phrases dialog</p></figcaption></figure>

## 

## Guide and examples&#x20;

### Review Analysis

#### JSON

```
{
    {'text': 'hello Mom', "review_sentiments": [{"category":"만족도", "sentiment":'1'}]},
    {'text': 'hello kid', "review_sentiments": [{"category":"delicious", "sentiment":'1'}]},
    {'text': "what's dinner?",},
    {'text': 'chicken dinner!',}
}    
```

#### TXT/TSV

* If category tags exist, a header must be included (as in the first example).&#x20;
  * The text (classification target) must be located at the very beginning.&#x20;
* If category tags do not exist, the header can be omitted (as in the second example).&#x20;
* The data should be separated by tabs.

```
REVIEW\t Satisfaction\t Price
Very tasty and affordable\t2\t2
I would like to eat again later\t2\t1

Very tasty and affordable
I would like to eat again later
```

#### XLSX

* The order of the columns does not matter.&#x20;
* The sentiment must be one of the following values: -2, -1, 0, 1, or 2.

```
|REVIEW| category |sentiment|
|------|----------|---------|
|hello |  PRICE   |   1     |
|myhome|  LENGTH  |   2     |
|dinner|  MATERIAL|   -1    |


|    REVIEW    |
|--------------|
|hello friends!|
```

###

### NER

#### JSON

```
{
    {'text': 'hello Mom',
     "entities":[{"tag": {"name": "family"}, "start": 6, "end": 9, "token": "Mom"}]},
    {'text': 'hello kid'}
}
```

#### XLSX

* Column names must be specified. The order of column names does not matter.&#x20;
  * The column names are \["PHRASE", "TOKEN", "START", "END", "TAG", "NO"]
  * The order of column names does not matter.&#x20;
* 'NO' is an optional column.

```
|PHRASE.      |TOKEN|START|END|TAG.                  |NO|
|-------------|-----|-----|---|----------------------|--|
|hello mom.   |mom  | 6   | 8 |{'name':'family'}     |2 |
```

###

###

### Text Classification

#### JSON

```
{
    {'text': 'hello Mom', 'intent': {'name': 'good'}},
    {'text': 'hello kid'}
} 
```

#### TXT/TSV

* There are no column names.&#x20;
* The data can be in either the \[text] or \[intent, text] format.&#x20;
  * If intent is present, it should be placed before text.&#x20;
  * Both of the following formats are valid:
* <pre><code><strong>GOOD So Good
  </strong>BAD So Bad

  So Good
  So Bad
  </code></pre>

#### XLSX

* There are no specific column names required.&#x20;
* It can be either in the form of \[text] or \[intent, text].&#x20;
* Both examples below are valid.

```
|GOOD|hello mom!!|
|GOOD|hello dad!!|
|BAD|get out bob!!|

|hello mom!!|
|hello dad!!|
```

###

### Tree Classification

#### JSON

```
{
    {'text': 'hello Mom!!',
     'tree_classes': [
         {'category': 'Large Category', 'value': 'Mom'},
         {'category': 'Medium Category', 'value': 'Woman'},
         {'category': 'Small Category', 'value': '50'}
     ]
    }
    {'text': 'hello kid'},
}
```

#### TXT/TSV

* If there are category tags, there must be a header (first example).&#x20;
  * The text (classification target) must be located at the very beginning.&#x20;
* If there are no category tags, the header can be omitted (second example).&#x20;
* The data is separated by a tab.

```
TREE\t Satisfaction\t Price
There are a lot of people \t1\t1
it's delicious even though I have to wait a bit. \t2\t2

There are a lot of people 
it's delicious even though I have to wait a bit.
```

#### XLSX

* Column names must exist and the following order must be followed:&#x20;
  * TEXT - Large category - Medium category - Small category

```
|TEXT	    |  Large Category  |  Medium Category  |  Small Category. |
|hello Mom. |          1       |          2        |          3.      |
|hello kid. |       Company    |      Engineer     |  New Employee.   |
```