Our project templates require you to upload both an input document as well as a label set.
Token-based labeling
For token-based labeling (NER, POS, DEP, COR, and OCR templates), a label set is a single-column .csv or .tsv following the structure below:
Column 1
Label 1
Label 2
Label 3
etc...
ner-labelset (2).csv
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NER label set
We provide twelve colors that you can configure manually from the Labels extension. You can also create a label set with your desired label colors in it. A sample file is provided below.
Note: label,color is the header. This will always be the first row in the .csv.
colored-labelset.csv
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Colored label set
1
label,color
2
Annabeth Chase,#df3920
3
Harry Potter,#ff8000
4
Hermione Granger,#4db34d
5
John Watson,#3399cc
6
Percy Jackson,#cc3399
7
Sherlock Holmes,#9933cc
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Note: colored label sets only work for the .csv format.
Color-coded Labels
Datasaur supports HTML color codes. For your reference, below are the default colors provided by Datasaur for better viewing clarity in your project.
#df3920
#ff8000
#ffc826
#91b34d
#4db34d
#33cc99
#3399cc
#3370cc
#3333cc
#7033cc
#9933cc
#cc3399
Label Color Palette
Row-based/document-based labeling
For row-based or document-based projects (DOC template), a label set is a .csv with questions in the first column and answers in subsequent columns:
Column 1
Column 2
Column 3
Column 4.
​
​
Question 1
Answer 1
Answer 2
Answer 3
​
​
Question 2
Answer 1
Answer 2
​
​
​
Question 3
Answer 1
Answer 2
Answer 3
Answer 4
Answer 5
bookreview2020-labelset (1).csv
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Book Review question set
You can also create a .json for a label set that has multiple question types.
book-sample-question-set.json
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Book Review question set
Question Types
As mentioned before, label sets for row-based and document-based projects are set of questions. Let's take a look at the question types available below.
1. Text Field
Text Field allows the labeler to answer questions by typing in free-form text, up to a single line at a time.
2. Text Area
Text Area allows the labelerto answer questions by typing in free-form text. In contrast to Text Fields, this allows for multiple-line answers.
3. Dropdown
Dropdown requires labelers to answer questions by picking one of several multiple-choice answers.
If you have a .csv with a pre-set list of answers, you can upload the .csv as an answer set.
bookgenre-answerset.csv
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Book Genre-Answer set
You can also allow the labelers to select multiple answers by checking the box for Allow multiple choices.
4. Hierarchical Dropdown
Hierarchical dropdown allows the labeler to answer questions with hierarchically organized options.
Just like with the Dropdown type, you can also upload an answer set once you have created the hierarchical question. The format for hierarchical label sets can be found below.
Note: clicking the Home icon will go directly to the top-level label.
5. Date
Date allows the labeler to answer the question in two ways. The key benefit of selecting Date is that this format validates that a correct date has been filled in.
Typing the date in manually.
Clicking on the calendar symbol, then selecting the date.
If you want to fill date questions with the current timestamp at the time the labeler opens the project, you can check the Use current date as default value box on Step 3.
6. Time
Time allows the labeler to answer the question in two ways. The key benefit of selecting Time is that this format validates that a correct time has been filled in.
Typing it manually.
Clicking on the clock symbol, then selecting the time.
If you want to fill time questions with the current timestamp at the time the labeler opens the project, you can check the Use current time as default value box on Step 3.
7. Slider
Slider allows the labeler to answer the question by moving the sliding bar (ex: from 1 to 10).
8. Grouped Attributes
Grouped Attributes allows the labeler to combine multiple questions that pertain to a single group.
9. Checkbox
Checkbox allows the labelers to answer the question by checking it. You can also put a description.
Hierarchical Label Sets
It is possible to upload multi-level hierarchical label sets in .csv for token-based, row-based, and document-based projects. Here is a sample of a hierarchical label set:
hierarchical-labelset2.csv
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Hierarchical label set
1
id,label
2
1,Novel
3
1.1,Author
4
1.2,Title
5
2,Characters
6
2.1,Antagonist
7
2.2,Protagonist
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💡Let's break down the components of this file
1. The header
id,label is the header. This will always be the first row in the .csv. The first label will have 1 as the id, as same as the example above.
2. id format
The id format is similar to Microsoft Word's numbering format. In the example above, Author is a part of Novel and the id will be 1.1.
1.
Novel: the root-level.
2.
1: id for the root-level
3.
Author: the second-level.
4.
1.1: the second-level id.
3. Hierarchical label sets in token-based projects
In token-based projects, the hierarchy will be visible in the Labels extension and in the label dropdown.
4. Hierarchical label sets in row-based or document-based projects
You have to choose hierarchical dropdown as the question type when creating projects using Project Custom Wizard.
Hierarchical label sets in these projects are uploaded as answers sets.
💡Pro Tip: Clicking the Home icon will go directly to the top-level label.