> For the complete documentation index, see [llms.txt](https://docs.datasaur.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datasaur.ai/compatibility-and-updates/common-terminology.md).
# Common Terminology
## Applied labels/answers
Labels or answers applied in the following contexts:
* **Labeler mode**: Includes manually applied labels, labels applied through assisted labeling features, and pre-labeled data.
* **Reviewer mode**: Includes labels or answers reviewed manually, applied through assisted labeling features, and pre-labeled data, but excludes labels automatically accepted through consensus.
**Pre-labeled data**: Labels or answers already included in the input file when the project is first created.
**Assisted labeling features**: Extensions that help apply labels automatically or in bulk, including **Search** (bulk label application to search results), **ML-assisted labeling**, **Data programming**, and **Predictive labeling**.
### Counting method by labeling type
* **Span labeling:** Total number of labels applied to spans.
* **Row or document labeling:** Total number of answers submitted.
* **Bounding box labeling:** Total number of bounding boxes created.
* **Conversational labeling:** Total number of labels applied to spans, including those applied to each utterance.
* **Mixed labeling:** Combined total of all labels or answers calculated using the methods above.
## Cell
A cell is a box that is used to display data in the text viewer. For example, in the image above, the box that contains the text `Sherlock Holmes become widely popular in 1891` is a cell. Cells are arranged in a matrix-like structure.
* **Cell line:** The cell’s position on the vertical axis, numbered from 0 from top to bottom.
* **Cell index:** The cell’s position on the horizontal axis, numbered from 0 from left to right.
A cell is identified by its line and index. For example, the cell with line `3` and index `0` contains the text `All but one are set in the Victorian or Edwardian eras, between about 1880 and 1914.`.
## Characters and spans
Characters and spans are the basic units used in text annotation.
* **Character:** Typically the smallest unit in a document. This can be a letter, number, symbol, punctuation mark, or whitespace character.
* **Span:** A selected segment of text consisting of one or more characters, words, or phrases.
Spans are indexed starting from `0` within each cell, and characters within a span are also indexed starting from `0`. For example, the span `popularity` has index 1 in the current cell and the character `u` has index 3 in `popularity`.
## Consensus
Consensus is the required level of agreement among labelers before a label is automatically accepted. This helps ensure consistency and agreement across annotations.
For example, if the consensus threshold is set to `2`:
1. Labeler 1 labels a span as `PERSON`.
2. The label is not automatically accepted yet because only one labeler has applied it.
3. Labeler 2 labels the same span as `PERSON`.
4. Since the required agreement level is reached, the label is automatically accepted.
## Label set and label class
* **Label set**: A collection of related label classes. In the example above, `Default NER` is the name of the label set.
* **Label class**: A specific annotation label within a label set. In the example above, `GEO`, `ORG`, `PER`, and `GPE` are label classes.
* **Label clarification:** A brief explanation of label classes and their intended use. In the example above, `Names of organizations, such as companies, institutions, or agencies` is a label class clarification.
## Labeler
A labeler is responsible for labeling data across assigned projects. A labeler can be defined at two levels:
* **Project level**: Any workspace member can be assigned as a labeler in a project. See the labeler mode explanation below.
* **Workspace level**: A member assigned as a labeler in a workspace has limited workspace access and primarily works only on assigned projects.
## Labeler mode and reviewer mode
Labeler mode and reviewer mode are isolated working environments within a project.
* Each labeler works independently in their own version of assigned documents.
* Reviewer mode contains a single shared version used to review, consolidate, and resolve conflicts across labelers’ work.
For example, in a project with 10 labelers and 3 reviewers:
* There are 10 separate labeler modes.
* There is 1 shared reviewer mode.
## Project
A project is a configurable labeling workspace that contains documents and task settings used for annotation.
## Reviewer
A reviewer is responsible for reviewing labelers’ work and resolving conflicts. Reviewer decisions become the final labeling result.
A reviewer can be defined at two levels:
* **Project level:** Any user assigned as a reviewer in a project.
* **Workspace level:** A user assigned as a reviewer in a workspace can access broader workspace functionality and resources. For a more detailed scope, see [this page](/workspace-management/role-and-permission.md).