⬆️Upload Data
Get to know how to upload data to train/test model
Upload Method
You can check the following data in the Dashboard data area.
Data automatically uploaded through API integration
Data uploaded directly via File uploading
Data uploaded directly through Sentence input

Upload Data Settings
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
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.

After the upload is complete, you can check the Train/Test setting (toggle) status of each data in the dashboard.
Supported Upload Files
You can upload JSON, TXT/TSV, and XLSX files.

Guide and examples
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).
The text (classification target) must be located at the very beginning.
If category tags do not exist, the header can be omitted (as in the second example).
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.
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.
The column names are ["PHRASE", "TOKEN", "START", "END", "TAG", "NO"]
The order of column names does not matter.
'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.
The data can be in either the [text] or [intent, text] format.
If intent is present, it should be placed before text.
Both of the following formats are valid:
GOOD So Good BAD So Bad So Good So Bad
XLSX
There are no specific column names required.
It can be either in the form of [text] or [intent, text].
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).
The text (classification target) must be located at the very beginning.
If there are no category tags, the header can be omitted (second example).
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:
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. |
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