Supported Formats

This page details all the supported Datasaur formats, provides examples for each format and clarifies expected file structure where appropriate. Note: Through file transformers we can customize the output format.

TXT

TXT file is a simple file format that contains unformatted text and can be easily opened and edited using a basic text editor. It is commonly used for storing and exchanging data, code, and other textual information.

TSV

A TSV (tab-separated values) file is a simple text format for storing data in a tabular structure. A TSV file encodes a number of records that may contain multiple fields.

• Each record is represented as a single line.

• Each field

  value is represented as text.

• Fields in a record are separated from

  one other by the tab character .

  • Note that because is a special character for this format, fields that contain tabs are not allowed in this encoding.

• The header (first) line of this encoding contains the name of

  each field, separated by tabs.

Example

Book Title    Author    Genre
Sherlock Holmes: A Study in Scarlet    Sir Arthur Conan Doyle    Fiction
To Kill a Mockingbird    Harper Lee    Fiction
Alan Turing: The Enigma    Andrew Hodges    Non fiction
Humble Pie    Gordon Ramsay    Non fiction
The Little Prince    Antoine de Saint-Exupéry    Fiction

IOB (specialized .tsv)

IOB (inside, outside, beginning) is a common labeling format for labeling tokens in computational linguistics (ex: named-entity recognition). IOB is also a .tsv, but conforms to the following rules:

• The B- prefix before a tag indicates that the tag is the beginning of a chunk.

• The I- prefix before a tag indicates that the tag is inside a chunk.

• The B- tag is used only when a tag is followed by a tag of the same type without O tokens between them.

• The O tag indicates that a token does not belong to a chunk.

Example

Sherlock	B-PER
Holmes	I-PER
become	O
widely	O
popular	O
in	O
1891 YEAR	O
.	O

CSV

A CSV (comma-separated values) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format.

A CSV file typically stores tabular data (numbers and text) in plain text, in which case each line will have the same number of fields.

Example

Book Title,Author,Genre
Sherlock Holmes: A Study in Scarlet,Sir Arthur Conan Doyle,Fiction
To Kill a Mockingbird,Harper Lee,Fiction
Alan Turing: The Enigma,Andrew Hodges,Non fiction
Humble Pie,Gordon Ramsay,Non fiction
The Little Prince,Antoine de Saint-Exupéry,Fiction

💡 As for now, a row-based project using CSV format does not support answers containing ;. We treat it as multiple answers. For example, the answer is She brings some flowers: rose; sunflower; and daisy. It will be interpreted as three answers that containShe brings some flowers: rose ,sunflower , and daisy.

XLS and XLSX

XLS and XLSX is a well-known format for Microsoft Excel documents that was introduced by Microsoft XLS is an older format that was used in older versions of Excel, while XLSX is a newer format that is the default in more recent versions of Excel. Both formats allow users to input, organize, and analyze data in rows and columns. They also support features such as formulas, charts, and graphs. XLSX is a more efficient format that offers better data recovery and larger file size limits.

Example

JSON

JSON (JavaScript Object Notation) is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and array data types (or any other serializable value).

A JSON file may contain the following data structures:

• An object is an unordered set of name/value pairs.

  • An object begins with {left brace and ends with }right brace. Each name is followed by :colon and the name/value pairs are separated by ,comma.

• An array is an ordered collection of values.

  • An array begins with [left bracket and ends with ]right bracket. Values are separated by ,comma.

• A value can be a string in double quotes, or a number, or true or false or null, or an object or an array. These structures can be nested.

• A string is a sequence of zero or more Unicode characters, wrapped in double quotes, using backslash escapes. A character is represented as a single character string. A string is very much like a C or Java string.

• A number is like a C or Java number, except that the octal and hexadecimal formats are not used.

• Whitespace can be inserted between any pair of tokens. Excepting a few encoding details, that completely describes the language.

Datasaur Schema Format

Datasaur Schema is a customized JSON format that is designed to fit all available project types in Datasaur app. This format can be used for mixed project type, e.g. Token + Document labeling. You will receive all label and answer combined in one exported file.

A Datasaur Schema contains the following data structures.

1. version: version number of Datasaur schema.

2. Rows Field

   1. content: the text of the sentence.

   2. tokens: the tokens form of the sentence.

   3. metadata: contains additional information for a line. You can find the structure and configuration options for metadata here.

3. labelerInfo: the information about the labeler.

   1. id: the unique identifier of a labeler (each labeler has a different id).

   2. email: email that labeler used when signing in.

   3. displayName: the display name of the email.

4. labelSets: contains all the label items that you used for the project.

   1. index: the position of the label set in UI

   2. labelItems: an array of labelItems for a label set

      1. id: id of the labelSet

      2. labelName: the displayed name of the label set item

      3. parentId: id of the parent label set item

      4. color: the color of the label set item

5. labels: an array of labels for the document. Labels consist of spanLabels, arrowLabels, boundingBoxLabels, timeLabels.

   1. spanLabels are all labels that are applied directly to the token/sentence.

   2. arrowLabels are all labels that are applied in the top of arrow.

   3. boundingBoxLabels are all labels that are applied in the top of OCR documents.

   4. timeLabels are all labels that are applied in the top of audio waveform.

   Below are all attributes under labels.

   1. id: identifier from the applied label.

   2. labeledBy:

      1. CONFLICT: if it has not been resolved

      2. REVIEWER: if it has been resolved

      3. AUTO: if it has been resolved by meeting the consensus

      4. LABELER: if it comes from labeler

   3. labeledByUserId: the user id of a reviewer

   4. acceptedByUserId: the user id of a reviewer who accepts the label. It will be null if there's no user who accept it manually.

   5. rejectedByUserId: the user id of a reviewer who rejects the label. It will be null if there's no user who rejects it manually.

   6. status: label status**.** It can be REJECTED, if it is rejected by Reviewer, and ACCEPTED if it is accepted by Reviewer.

   7. hashCode: Datasaur's code to represent label information.

      For example, SPAN:gpe:0:0:0:4:0:0:0:4:3:0:undefined:undefined. Below is the explanation: <type:label set item id:layer or label set index:start cell line:cell index:start token index: start char index: end cell line: end cell index: end token index: end char index: counter.>

   8. textPosition: information about where are the exact location for the labelled text.

      1. start: starting text position

         1. row: number of line

         2. column: number of column. For token based project, it always gives 0 value

         3. tokenIndex: number of token, relative to row number

         4. charIndex: character index position, relative to token

      2. end: ending text position

         1. row: number of line

         2. column: number of column. For token based project, it always gives 0 value

         3. tokenIndex: number of token, relative to row number

         4. charIndex: character index position, relative to token

6. Arrow label type specific fields

   1. originId: origin id of an arrow label

   2. destinationId: origin id of an arrow label

7. Bounding Box label type specific fields

   1. coordinates: consists of 4 points paired x and y value.

8. Timestamp label type specific fields

   1. startTimeMillis: starting timestamp in millisecond.

   2. endTimeMillis: ending timestamp in millisecond.

9. comments: contains all comment that you insert for the document.

   1. id: the id of the comment

   2. parentId: the id of the parent comment - this will be filed if the comment thread has replies.

   3. hashCode: Datasaur's code to represent comment's information, including the value being commented.

   4. message: the content of the comment

   5. type: the type of comment, can be SPAN_LABEL,SPAN_TEXT, ARROW_LABEL, and COMMENT

   6. userId: the id of user who create the comment

   7. createdAt: the time when the user create the comment

10. documentQuestions: contains the question set that is used for a document-based project.

    1. id: the id of the question

    2. name: default name given per question

    3. description: question text from the question set.

    4. type: type of the question. It can be in TEXT, DROPDOWN, HIERARCHICAL_DROPDOWN, NESTED, SLIDER, DATE, TIME, CHECKBOX, URL.

    5. displayed: state whether it’s shown or not. True if it’s shown in the extension.

    6. parentId: the id of parent questions.

11. documentAnswerSet: contains the answer from the used question set.

    The answers consists of paired documentQuestion ID and answers. Example: “1”: “Good” . It shows 1 as id and Good as the question answers,

12. rowQuestions: contains the question set that is used for a row-based project.

    1. id: the id of the question

    2. name: default name given per question

    3. description: question text from the question set.

    4. type: type of the question. It can be in TEXT, DROPDOWN, HIERARCHICAL_DROPDOWN, NESTED, SLIDER, DATE, TIME, CHECKBOX, URL.

    5. displayed: state whether it’s shown or not. True if it’s shown in the extension.

    6. parentId: the id of parent questions.

13. rowAnswerSets: contains all answer from row-based project. It consists of row number, rowQuestions ID, and answers.

    Example:

    Copy

    [
                    5,
                    {
                        "1": [
                            {
                                "2": "A",
                                "3": "B"
                            }
                        ]
                    }
                ],

    5 as the row number, 1 as parentId question from 2 and 3. 2 and 3 are the question ID. A and B are the answers from 2 and 3

Examples

Conversational JSON

Conversational JSON is a format Datasaur created to support conversational or chat-like data. Each file should represent a conversation or chat log containing multiple messages.

Each message object must have the following properties:

1. content : String content of the message. Required.

2. speaker : Identifies who say / sent the message. Required.

3. color : Optional. If provided, Datasaur will use the color to render the speaker’s avatar.

4. alignment : Required. One of LEFT or RIGHT. Currently, there are no visual difference between them. In the future, we plan to use this information to place the message boxes accordingly

5. indent : Required. Integer between 0-4. Currently, there are no visual difference between them. In the future, we plan to use this information to place messages in a thread-like view.

Example:

{
  "messages": [
    {
      "content": "So you are actually Victor? How did this happen?",
      "speaker": "Person 1",
      "color": "red",
      "alignment": "LEFT",
      "indent": 0
    },
    {
      "content": "I'm not sure... I started getting memories of Isabella and my past life when I was 10. That's when I started visiting the manor secretly.",
      "speaker": "Person 2",
      "color": "cyan",
      "alignment": "LEFT",
      "indent": 0
    }
  ]
}

JSON Simplified

JSON Simplified is an export format for Span labeling project. This format contains both the text as well as the labeled spans, along with a character indexing. It’s suitable for simpler workflows where we expect each sentence to be contained and isolated from one another.

In the example below, here are the objects recognized at Datasaur.

• text: the sentence.

• entities: array of label applied

  • text: the token

  • type: the label applied.

  • start_idx: the character position in the labeled token.

    • The character position uses zero-based index.

  • end_idx: the last character position + 1 (because end_index does not include the last character).

    • The character position uses zero-based index.

JSON (Simplified) export format limitation:

• Can't export arrow label

• Can't export label multi sentence

Example

[
  {
    "text": "The new series Narcos created by Chris Brancato , Eric Newman and Carlo Bernard , represents a pretty ambitious step for Netflix .",
    "entities": [
      {
        "text": "Narcos",
        "type": "TITLE",
        "start_idx": 15,
        "end_idx": 21
      },
      {
        "text": "Chris Brancato",
        "type": "PER",
        "start_idx": 33,
        "end_idx": 47
      },
      {
        "text": "Carlo Bernard",
        "type": "PER",
        "start_idx": 66,
        "end_idx": 79
      },
      {
        "text": "Eric Newman",
        "type": "PER",
        "start_idx": 50,
        "end_idx": 61
      },
      {
        "text": "Netflix",
        "type": "ORG",
        "start_idx": 121,
        "end_idx": 128
      }
    ]
  }
]

JSON Advanced

JSON Advanced is a proprietary Datasaur format designed in collaboration with our users to capture all possible data. This format is commonly used for partial token labeling projects. You can also use it when exporting token-based with arrow projects, such as coreference and dependency.

A JSON_ADVANCED file may contain the following data structures:

1. Sentences field

   1. id: the sentence position.

   2. content: the text of the sentence.

   3. tokens: the tokens form of the sentence.

   4. labels

      1. l: the label applied.

      2. layer: the layer position of the labels. This field is reserved for a project where a labeling of multiple tag set at once. For now you can disregard this field and this field is always set to 0.

      3. id: the unique identifier of a label.

         1. If the id has 9 segments, this indicates span label. For example, INNM0ViFwo8LluMTaTIK9:0:0:14:0:0:18:6:0 and here's the explanation <label set item id>:<layer>:<sidS>:<s>:<charS>:<sidE>:<e>:<charE>:<index>.

         2. If the id has 21 segments, this indicates arrow label. For example, tfc1FkbbEk9fOLx6haR1s:0:INNM0ViFwo8LluMTaTIK9:0:0:14:0:0:18:6:0:Oq_VuB0s_N7D8ZY0rgYsg:0:0:0:0:0:2:5:0:0 and here's the explanation <label set item id>:<arrow layer>:<….. origin id>:<….destination id>:<arrow index>.

      4. hashCode: Datasaur's code to represent label information __

         1. Span label. For example, SPAN:gpe:0:0:0:4:0:0:0:4:3:0:undefined:undefined. Below is the explanation:

            1. type:label set item id:layer or label set index:start cell line:cell index:start token index: start char index: end cell line: end cell index: end token index: end char index: counter.

         2. Arrow label. For example, ARROW:dyC-o1HBnn49dcqDSphmJ:1:0:0:0:0:0:0:10:6:0:SPAN:geo:0:0:0:0:0:0:0:0:4:0:undefined:undefined:SPAN:geo:0:0:0:10:0:0:0:10:6:0:undefined:undefined. Below is the explanation:

            1. type:label set item id:layer or label set index:start cell line:cell index:start token index: start char index: end cell line: end cell index: end token index: end char index: counter:<span label: origin>:<span label: destination>.

      5. documentId: the id of document.

      6. sidS, sidE: the sentence starting and ending position of a label in 0-based index. In Datasaur, it is possible that a label spans across sentences.

      7. s: the token starting position of a label in the starting sentence in 0-based index.

      8. e: the token ending position of a label in the ending sentence in 0-based index.

      9. charS: the character starting position of a label in the starting token in 0-based index.

      10. charE: the character ending position of a label in the ending token in 0-based index.

   5. metadata: additional information for a cell. You can find the structure and configuration options for metadata here.

2. labelerInfo: the information about the labeler.

   1. id: the unique identifier of a labeler (each labeler has different id).

   2. email: email that labeler used when signing in.

   3. displayName: the display name of the email.

3. labelSets: contains all the label items that you used for the project.

   1. index: the position of the label set in UI

   2. labelItems: an array of labelItems for a label set

      • id: id of the labelSetItem

      • labelName: the displayed name of the label set item

      • parentId: id of the parent label set item

      • color: the color of the label set item

4. labels: an array of labels for the document

   1. labelText: label content for row-based project. It will be null for other project beside the row-based project.

   2. id: identifier from the applied label.

   3. documentId : identifier for document where the label is applied.

   4. startCellLine: starting line sentence position

   5. startCellIndex: starting line column position

   6. startTokenIndex: starting token index position

   7. startCharIndex: starting character index position (relative to tokenIndex, start from 0 again when tokenIndex incremented)

   8. endCellLine: ending line sentence position

   9. endCellIndex: ending line column position

   10. endTokenIndex: ending token index position

   11. endCharIndex: ending character index position

   12. layer: the layer where the token is positioned

   13. counter: labels with the same name to be placed multiple times in the same position, start from 0

   14. type: the type of labels -> SPAN, ARROW, BOUNDING_BOX

   15. createdAt:

       1. Labeler: the time labels applied

       2. Reviewer: the time labels got accepted

   16. updatedAt: last update timestamp on the label

   17. Review related fields

       1. acceptedByUserId: the user id of a reviewer who accepts the label. It will be null if there's no user who accept it manually.

       2. rejectedByUserId: the user id of a reviewer who rejects the label. It will be null if there's no user who rejects it manually

       3. labeledByUserId: the user id of a reviewer

       4. labeledBy:

          • CONFLICT if it has not been resolved

          • REVIEWER if it has been resolved

          • AUTO if it has been resolved by meeting the consensus

   18. Arrow label type specific fields

       1. originId: origin id of an arrow label

       2. originNumber: auto increment ID for origin

       3. destinationId: origin id of an arrow label

       4. destinationNumber: auto increment ID for destination

   19. Bounding box label type specific fields

       1. pageIndex: index of the page if the document contain multiple pages

       2. nodeCount: total number of the bounding box points

       3. x0: x coordinate of top left position of the bounding box

       4. y0: y coordinate of top left position of the bounding box

       5. x1: x coordinate of top right position of the bounding box

       6. y1: y coordinate of top right position of the bounding box

       7. x2: x coordinate of bottom right position of the bounding box

       8. y2: y coordinate of bottom right position of the bounding box

       9. x3: x coordinate of bottom left position of the bounding box

       10. y3: y coordinate of bottom left position of the bounding box

   20. pages: an array of page information for OCR project type

       1. pageIndex: index of the page if the document contain multiple pages

       2. pageHeight: original page height in pixel

       3. pageWidth: original page width in pixel

5. comments

   1. id: the id of the comment

   2. parentId: the id of the parent comment - this will be filed if the comment thread has replies.

   3. hashCode: Datasaur's code to represent comment's information, including the value being commented

   4. message: the content of the comment

   5. type: the type of comment, can be SPAN_LABEL,SPAN_TEXT, ARROW_LABEL, and CELL_LABEL

   6. userId: the id of user who create the comment

   7. createdAt: the time when the user create the comment

Example (token-based with arrow)

{
  "sentences": [
    {
      "id": 0,
      "content": "The Little Prince is a novella by French aristocrat , writer , and aviator Antoine de Saint - Exupéry .",
      "tokens": [
        "The",
        "Little",
        "Prince",
        "is",
        "a",
        "novella",
        "by",
        "French",
        "aristocrat",
        ",",
        "writer",
        ",",
        "and",
        "aviator",
        "Antoine",
        "de",
        "Saint",
        "-",
        "Exupéry",
        "."
      ],
      "labels": [
        {
          "id": "vGOy0ZKA-2rqK7netKz9I:0:0:0:0:0:2:5:0",
          "l": "vGOy0ZKA-2rqK7netKz9I",
          "layer": 0,
          "deleted": false,
          "labeledBy": "PRELABELED",
          "createdAt": "2024-08-05T20:23:47.284Z",
          "updatedAt": "2024-08-05T20:23:47.606Z",
          "hashCode": "SPAN:vGOy0ZKA-2rqK7netKz9I:0:0:0:0:0:0:0:2:5:0:undefined:undefined",
          "documentId": "e19c1143-a6ea-490b-ab9f-2a0d7bdafa3e",
          "confidenceScore": null,
          "sidS": 0,
          "s": 0,
          "charS": 0,
          "sidE": 0,
          "e": 2,
          "charE": 5
        },
        {
          "id": ":0:vGOy0ZKA-2rqK7netKz9I:0:0:0:0:0:2:5:0:9I-5oYKvnzJRWHgsZrDe_:0:0:14:0:0:18:6:0:0",
          "l": "",
          "layer": 0,
          "deleted": false,
          "labeledBy": "LABELER",
          "labeledByUserId": 4500,
          "createdAt": "2024-08-05T20:26:12.466Z",
          "updatedAt": "2024-08-05T20:26:12.611Z",
          "hashCode": "ARROW::0:0:0:0:0:0:0:18:6:0:SPAN:vGOy0ZKA-2rqK7netKz9I:0:0:0:0:0:0:0:2:5:0:undefined:undefined:SPAN:9I-5oYKvnzJRWHgsZrDe_:0:0:0:14:0:0:0:18:6:0:undefined:undefined",
          "documentId": "e19c1143-a6ea-490b-ab9f-2a0d7bdafa3e",
          "confidenceScore": null,
          "sidS": 0,
          "s": 0,
          "charS": 0,
          "sidE": 0,
          "e": 18,
          "charE": 6
        },
        {
          "id": "A-92mMT_WppaawOOBJbjt:1:9I-5oYKvnzJRWHgsZrDe_:0:0:14:0:0:18:6:0:vGOy0ZKA-2rqK7netKz9I:0:0:0:0:0:2:5:0:0",
          "l": "A-92mMT_WppaawOOBJbjt",
          "layer": 1,
          "deleted": false,
          "labeledBy": "PRELABELED",
          "createdAt": "2024-08-05T20:23:47.291Z",
          "updatedAt": "2024-08-05T20:23:47.622Z",
          "hashCode": "ARROW:A-92mMT_WppaawOOBJbjt:1:0:0:0:0:0:0:18:6:0:SPAN:9I-5oYKvnzJRWHgsZrDe_:0:0:0:14:0:0:0:18:6:0:undefined:undefined:SPAN:vGOy0ZKA-2rqK7netKz9I:0:0:0:0:0:0:0:2:5:0:undefined:undefined",
          "documentId": "e19c1143-a6ea-490b-ab9f-2a0d7bdafa3e",
          "confidenceScore": null,
          "sidS": 0,
          "s": 0,
          "charS": 0,
          "sidE": 0,
          "e": 18,
          "charE": 6
        },
        {
          "id": "9I-5oYKvnzJRWHgsZrDe_:0:0:14:0:0:18:6:0",
          "l": "9I-5oYKvnzJRWHgsZrDe_",
          "layer": 0,
          "deleted": false,
          "labeledBy": "PRELABELED",
          "createdAt": "2024-08-05T20:23:47.284Z",
          "updatedAt": "2024-08-05T20:23:47.606Z",
          "hashCode": "SPAN:9I-5oYKvnzJRWHgsZrDe_:0:0:0:14:0:0:0:18:6:0:undefined:undefined",
          "documentId": "e19c1143-a6ea-490b-ab9f-2a0d7bdafa3e",
          "confidenceScore": null,
          "sidS": 0,
          "s": 14,
          "charS": 0,
          "sidE": 0,
          "e": 18,
          "charE": 6
        }
      ],
      "metadata": []
    }
  ],
  "labelSets": [
    {
      "index": 0,
      "labelItems": [
        {
          "id": "vGOy0ZKA-2rqK7netKz9I",
          "labelName": "Novel"
        },
        {
          "id": "9I-5oYKvnzJRWHgsZrDe_",
          "labelName": "Male"
        },
        {
          "id": "A-92mMT_WppaawOOBJbjt",
          "labelName": "Author"
        }
      ]
    }
  ],
  "labels": [
    {
      "labelText": null,
      "id": "1685710595",
      "documentId": "e19c1143-a6ea-490b-ab9f-2a0d7bdafa3e",
      "labeledByUserId": null,
      "startCellIndex": 0,
      "startCellLine": 0,
      "startTokenIndex": 0,
      "startCharIndex": 0,
      "endCellIndex": 0,
      "endCellLine": 0,
      "endTokenIndex": 2,
      "endCharIndex": 5,
      "layer": 0,
      "counter": 0,
      "labeledBy": "PRELABELED",
      "acceptedByUserId": null,
      "rejectedByUserId": null,
      "originNumber": "0",
      "destinationNumber": "0",
      "type": "SPAN",
      "labelSetItemId": "vGOy0ZKA-2rqK7netKz9I",
      "status": "ACCEPTED",
      "confidenceScore": null,
      "createdAt": "2024-08-05T20:23:47.284Z",
      "updatedAt": "2024-08-05T20:23:47.606Z",
      "hashCode": "SPAN:vGOy0ZKA-2rqK7netKz9I:0:0:0:0:0:0:0:2:5:0:undefined:undefined"
    },
    {
      "labelText": null,
      "id": "1685710604",
      "documentId": "e19c1143-a6ea-490b-ab9f-2a0d7bdafa3e",
      "labeledByUserId": 4500,
      "startCellIndex": 0,
      "startCellLine": 0,
      "startTokenIndex": 0,
      "startCharIndex": 0,
      "endCellIndex": 0,
      "endCellLine": 0,
      "endTokenIndex": 18,
      "endCharIndex": 6,
      "layer": 0,
      "counter": 0,
      "labeledBy": "LABELER",
      "acceptedByUserId": null,
      "rejectedByUserId": null,
      "originId": "1685710595",
      "originNumber": "1685710595",
      "destinationId": "1685710596",
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