Card Builder

Convert structured text into interactive cards

The Card Builder is a lightweight JS tool that transforms dataset documentation into interactive Data Cards for the web. Learn more on GitHub.

See the Card Builder in action

Use our template to write a Data Card in Markdown. Then, use the Render button to generate your interactive HTML card.

# Dataset Name (Acronym)
Write a short summary describing your dataset (limit
200 words). Include information about the content
and topic of the data, sources and motivations for the
dataset, benefits and the problems or use cases it is
suitable for.

#### Dataset Link


Dataset Link

#### Data Card Author(s)
<!-- info: Select **one role per** Data Card Author:

(Usage Note: Select the most appropriate choice to describe the author's role
in creating the Data Card.) -->

- **Name, Team:** (Owner / Contributor / Manager)
- **Name, Team:** (Owner / Contributor / Manager)
- **Name, Team:** (Owner / Contributor / Manager)

## Authorship
### Publishers
#### Publishing Organization(s)


Organization Name

#### Industry Type(s)


- Corporate - Tech
- Corporate - Non-Tech (please specify)
- Academic - Tech
- Academic - Non-Tech (please specify)
- Not-for-profit - Tech
- Not-for-profit - Non-Tech (please specify)
- Individual (please specify)
- Others (please specify)

#### Contact Detail(s)


- **Publishing POC:** Provide the name for a POC for this dataset's publishers
- **Affiliation:** Provide the POC's institutional affiliation
- **Contact:** Provide the POC's contact details
- **Mailing List:** Provide a mailing list if available
- **Website:** Provide a website for the dataset if available

### Dataset Owners
#### Team(s)


Name of Group or Team

#### Contact Detail(s)


- **Dataset Owner(s):** Provide the names of the dataset owners
- **Affiliation:** Provide the affiliation of the dataset owners
- **Contact:** Provide the email of the dataset owner
- **Group Email:** Provide a link to the mailing-list@server.com for the dataset owner team
- **Website:** Provide a link to the website for the dataset owner team

#### Author(s)

<!-- info: Provide the details of all authors associated with the dataset:

(Usage Note: Provide the affiliation and year if different from publishing
institutions or multiple affiliations.) -->
- Name, Title, Affiliation, YYYY
- Name, Title, Affiliation, YYYY
- Name, Title, Affiliation, YYYY
- Name, Title, Affiliation, YYYY

### Funding Sources
#### Institution(s)


- Name of Institution
- Name of Institution
- Name of Institution

#### Funding or Grant Summary(ies)


<!-- info: Provide a short summary of programs or projects that may have funded
the creation, collection, or curation of the dataset.

Use additional notes to capture any other relevant information or
considerations. -->
*For example, Institution 1 and institution 2 jointly funded this dataset as a
part of the XYZ data program, funded by XYZ grant awarded by institution 3 for
the years YYYY-YYYY.*

Summarize here. Link to documents if available.

**Additional Notes:** Add here

## Dataset Overview
#### Data Subject(s)


- Sensitive Data about people
- Non-Sensitive Data about people
- Data about natural phenomena
- Data about places and objects
- Synthetically generated data
- Data about systems or products and their behaviors
- Unknown
- Others (Please specify)

#### Dataset Snapshot


Category | Data
--- | ---
Size of Dataset | 123456 MB
Number of Instances | 123456
Number of Fields | 123456
Labeled Classes | 123456
Number of Labels | 123456789
Average Labeles Per Instance | 123456
Algorithmic Labels | 123456789
Human Labels | 123456789
Other Characteristics | 123456

**Above:** Provide a caption for the above table of visualization.

**Additional Notes:** Add here.

#### Content Description


Summarize here. Include links if available.

**Additional Notes:** Add here.

#### Descriptive Statistics

<!-- info: Provide basic descriptive statistics for each field.

Use additional notes to capture any other relevant information or
considerations.

Usage Note: Some statistics will be relevant for numeric data, for not for
strings. -->

Statistic | Field Name | Field Name | Field Name | Field Name | Field Name | Field Name
--- | --- | --- | --- | --- | --- | ---
count |
mean |
std |
min |
25% |
50% |
75% |
max |
mode |

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here.

### Sensitivity of Data
#### Sensitivity Type(s)


- User Content
- User Metadata
- User Activity Data
- Identifiable Data
- S/PII
- Business Data
- Employee Data
- Pseudonymous Data
- Anonymous Data
- Health Data
- Children’s Data
- None
- Others (Please specify)

#### Field(s) with Sensitive Data

<!-- info: List fields in the dataset that contain S/PII, and specify if their
collection was intentional or unintentional.

Use additional notes to capture any other relevant information or
considerations. -->
**Intentional Collected Sensitive Data**

(S/PII were collected as a part of the
dataset creation process.)

Field Name | Description
--- | ---
Field Name | Type of S/PII
Field Name | Type of S/PII
Field Name | Type of S/PII

**Unintentionally Collected Sensitive Data**

(S/PII were not explicitly collected as a
part of the dataset creation process but
can be inferred using additional
methods.)

Field Name | Description
--- | ---
Field Name | Type of S/PII
Field Name | Type of S/PII
Field Name | Type of S/PII

**Additional Notes:** Add here

#### Security and Privacy Handling

<!-- info: Summarize the measures or steps to handle sensitive data in this
dataset.

Use additional notes to capture any other relevant information or
considerations. -->

Summarize here. Include links and metrics where applicable.

**Method:** description

**Additional Notes:** Add here

#### Risk Type(s)


- Direct Risk
- Indirect Risk
- Residual Risk
- No Known Risks
- Others (Please Specify)

#### Supplemental Link(s)


**Link Name or Document Type:** link

**Link Name or Document Type:** link

#### Risk(s) and Mitigation(s)

<!-- info: Summarize the steps taken to identify and mitigate risks from PII
or sensitive information.

Use additional notes to capture any other relevant information or
considerations. -->
Summarize here. Include links and metrics where applicable.

**Risk type:** Description + Mitigations

**Additional Notes:** Add here

### Dataset Version and Maintenance
#### Maintenance Status


**Regularly Updated** - New versions of the dataset
have been or will continue to be
made available.

**Actively Maintained** - No new versions will be made
available, but this dataset will
be actively maintained,
including but not limited to
updates to the data.

**Limited Maintenance** - The data will not be updated,
but any technical issues will be
addressed.

**Deprecated** - This dataset is obsolete or is
no longer being maintained.

#### Version Details


**Current Version:** 1.0

**Last Updated:** MM/YYYY

**Release Date:** MM/YYYY

#### Maintenance Plan

<!-- info: Summarize the maintenance plan for the dataset:

Use additional notes to capture any other relevant information or
considerations. -->
Summarize here. Include links and metrics where applicable.

**Versioning:** Summarize here. Include information about criteria for
versioning the dataset.

**Updates:** Summarize here. Include information about criteria for refreshing
or updating the dataset.

**Errors:** Summarize here. Include information about criteria for refreshing
or updating the dataset.

**Feedback:** Summarize here. Include information about criteria for refreshing
or updating the dataset.

**Additional Notes:** Add here

#### Next Planned Update(s)


**Version affected:** 1.0

**Next data update:** MM/YYYY

**Next version:** 1.1

**Next version update:** MM/YYYY

#### Expected Change(s)

<!-- info: Summarize the updates to the dataset and/or data that are expected
on the next update.

Use additional notes to capture any other relevant information or
considerations. -->
**Updates to Data:** Summarize here. Include links, charts, and visualizations
as appropriate.

**Updates to Dataset:** Summarize here. Include links, charts, and
visualizations as appropriate.

**Additional Notes:** Add here

## Example of Data Points
#### Primary Data Modality


- Image Data
- Text Data
- Tabular Data
- Audio Data
- Video Data
- Time Series
- Graph Data
- Geospatial Data
- Multimodel (please specify)
- Unknown
- Others (please specify)

#### Sampling of Data Points


- Demo Link
- Typical Data Point Link
- Outlier Data Point Link
- Other Data Point Link
- Other Data Point Link

#### Data Fields

<!-- info: List the fields in data points and their descriptions.

(Usage Note: Describe each field in a data point. Optionally use this to show
the example.) -->

Field Name | Field Value | Description
--- | --- | ---
Field Name | Field Value | Description
Field Name | Field Value | Description
Field Name | Field Value | Description

**Above:** Provide a caption for the above table or visualization if used.

**Additional Notes:** Add here

#### Typical Data Point

<!-- info: Provide an example of a typical data point and describe what makes
it typical.

**Use additional notes to capture any other relevant information or
considerations.** -->
Summarize here. Include any criteria for typicality of data point.

```
{'q_id': '8houtx',
  'title': 'Why does water heated to room temperature feel colder than the air around it?',
  'selftext': '',
  'document': '',
  'subreddit': 'explainlikeimfive',
  'answers': {'a_id': ['dylcnfk', 'dylcj49'],
  'text': ["Water transfers heat more efficiently than air. When something feels cold it's because heat is being transferred from your skin to whatever you're touching. ... Get out of the water and have a breeze blow on you while you're wet, all of the water starts evaporating, pulling even more heat from you."],
  'score': [5, 2]},
  'title_urls': {'url': []},
  'selftext_urls': {'url': []},
  'answers_urls': {'url': []}}
```

**Additional Notes:** Add here

#### Atypical Data Point

<!-- info: Provide an example of an outlier data point and describe what makes
it atypical.

**Use additional notes to capture any other relevant information or
considerations.** -->
Summarize here. Include any criteria for atypicality of data point.

**Additional Notes:** Add here

## Motivations & Intentions
### Motivations
#### Purpose(s)


- Monitoring
- Research
- Production
- Others (please specify)

#### Domain(s) of Application


For example: `Machine Learning`, `Computer Vision`, `Object Detection`.

`keyword`, `keyword`, `keyword`

#### Motivating Factor(s)

<!-- info: List the primary motivations for creating or curating this dataset:

(Usage Note: use this to describe the problem space and corresponding
motivations for the dataset.) -->
For example:

- Bringing demographic diversity to imagery training data for object-detection models
- Encouraging academics to take on second-order challenges of cultural representation in object detection

Summarize motivation here. Include links where relevant.

### Intended Use
#### Dataset Use(s)


- Safe for production use
- Safe for research use
- Conditional use - some unsafe applications
- Only approved use
- Others (please specify)

#### Suitable Use Case(s)

<!-- info: Summarize known suitable and intended use cases of this dataset.

Use additional notes to capture any specific patterns that readers should
look out for, or other relevant information or considerations. -->
**Suitable Use Case:** Summarize here. Include links where necessary.

**Suitable Use Case:** Summarize here. Include links where necessary.

**Additional Notes:** Add here

#### Unsuitable Use Case(s)

<!-- info: Summarize known unsuitable and unintended use cases of this dataset.

Use additional notes to capture any specific patterns that readers should look
out for, or other relevant information or considerations. -->
**Unsuitable Use Case:** Summarize here. Include links where necessary.

**Unsuitable Use Case:** Summarize here. Include links where necessary.

**Additional Notes:** Add here

#### Research and Problem Space(s)


Summarize here. Include any specific research questions.

#### Citation Guidelines

<!-- info: Provide guidelines and steps for citing this dataset in research
and/or production.

Use additional notes to capture any specific patterns that readers should look
out for, or other relevant information or considerations. -->
**Guidelines & Steps:** Summarize here. Include links where necessary.

**BiBTeX:**
```
@article{kuznetsova2020open,
  title={The open images dataset v4},
  author={Kuznetsova, Alina and Rom, Hassan and Alldrin, and others},
  journal={International Journal of Computer Vision},
  volume={128},
  number={7},
  pages={1956--1981},
  year={2020},
  publisher={Springer}
}
```

**Additional Notes:** Add here

## Access, Rentention, & Wipeout
### Access
#### Access Type


- Internal - Unrestricted
- Internal - Restricted
- External - Open Acess
- Others (please specify)

#### Documentation Link(s)


- Dataset Website URL
- GitHub URL

#### Prerequisite(s)


For example:

This dataset requires membership in [specific] database groups:

- Complete the [Mandatory Training]
- Read [Data Usage Policy]
- Initiate a Data Requesting by filing

#### Policy Link(s)


- Direct download URL
- Other repository URL

Code to download data:
```
...
```

#### Access Control List(s)

<!-- info: List and summarize any access control lists associated with this
dataset. Include links where necessary.

Use additional notes to capture any other information relevant to accessing
the dataset. -->
**Access Control List:** Write summary and notes here.

**Access Control List:** Write summary and notes here.

**Additional Notes:** Add here

### Retention
#### Duration


Specify duration in days, months, or years.

#### Policy Summary


**Retention Plan ID:** Write here

**Summary:** Write summary and notes here

#### Process Guide

<!-- info: Summarize any requirements and related steps to retain the dataset.

Use additional notes to capture any other relevant information or
considerations. -->
For example:

This dataset compiles with [standard policy guidelines].

**Additional Notes:** Add here

#### Exception(s) and Exemption(s)

<!-- info: Summarize any exceptions and related steps to retain the dataset.
Include links where necessary.

Use additional notes to capture any other relevant information or
considerations. -->
**Exemption Code:** `ANONYMOUS_DATA` /
`EMPLOYEE_DATA` / `PUBLIC_DATA` /
`INTERNAL_BUSINESS_DATA` /
`SIMULATED_TEST_DATA`

**Summary:** Write summary and notes here.

**Additional Notes:** Add here

### Wipeout and Deletion
#### Duration


Specify duration in days, months, or years.

#### Deletion Event Summary

<!-- info: Summarize the sequence of events and allowable processing for data
deletion.

Use additional notes to capture any other relevant information or
considerations. -->
**Sequence of deletion and processing events:**

- Summarize first event here
- Summarize second event here
- Summarize third event here

**Additional Notes:** Add here

#### Acceptable Means of Deletion


- Write acceptable means of deletion
- Write acceptable means of deletion
- Write acceptable means of deletion

#### Post-Deletion Obligations

<!-- info: Summarize the sequence of obligations after a deletion event.

**Use additional notes to capture any other relevant information or
considerations.** -->
**Sequence of post-deletion obligations:**

- Summarize first obligation here
- Summarize second obligation here
- Summarize third obligation here

**Additional Notes:** Add here

#### Operational Requirement(s)


**Wipeout Integration Operational Requirements:**

- Write first requirement here
- Write second requirement here
- Write third requirement here

#### Exceptions and Exemptions

<!-- info: Summarize any exceptions and related steps to a deletion event.

**Use additional notes to capture any other relevant information or
considerations.** -->
**Policy Exception bug:** [bug]

**Summary:** Write summary and notes here

**Additional Notes:** Add here

## Provenance
### Collection
#### Method(s) Used


- API
- Artificially Generated
- Crowdsourced - Paid
- Crowdsourced - Volunteer
- Vendor Collection Efforts
- Scraped or Crawled
- Survey, forms, or polls
- Taken from other existing datasets
- Unknown
- To be determined
- Others (please specify)

#### Methodology Detail(s)

<!-- info: Provide a description of each collection method used.

Use additional notes to capture any other relevant information or
considerations.

(Usage Note: Duplicate and complete the following for collection method
type.) -->
**Collection Type**

**Source:** Describe here. Include links where available.

**Platform:** [Platform Name], Describe platform here. Include links where relevant.

**Is this source considered sensitive or high-risk?** [Yes/No]

**Dates of Collection:** [MMM YYYY - MMM YYYY]

**Primary modality of collection data:**

*Usage Note: Select one for this collection type.*

- Image Data
- Text Data
- Tabular Data
- Audio Data
- Video Data
- Time Series
- Graph Data
- Geospatial Data
- Unknown
- Multimodal (please specify)
- Others (please specify)

**Update Frequency for collected data:**

*Usage Note: Select one for this collection type.*

- Yearly
- Quarterly
- Monthly
- Biweekly
- Weekly
- Daily
- Hourly
- Static
- Others (please specify)

**Additional Links for this collection:**

- [Access Policy]
- [Wipeout Policy]
- [Retention Policy]

**Additional Notes:** Add here

#### Source Description(s)

<!-- info: Provide a description of each upstream source of data.

Use additional notes to capture any other relevant information or
considerations. -->
- **Source:** Describe here. Include links, data examples, metrics, visualizations where relevant.
- **Source:** Describe here. Include links, data examples, metrics, visualizations where relevant.
- **Source:** Describe here. Include links, data examples, metrics, visualizations where relevant.

**Additional Notes:** Add here

#### Collection Cadence


**Static:** Data was collected once from single or multiple sources.

**Streamed:** Data is continuously acquired from single or multiple sources.

**Dynamic:** Data is updated regularly from single or multiple sources.

**Others:** Please specify

#### Data Integration

<!-- info: List all fields collected from different sources, and specify if
they were included or excluded from the dataset.

Use additional notes to
capture any other relevant information or considerations.

(Usage Note: Duplicate and complete the following for each upstream
source.) -->
**Source**

**Included Fields**

Data fields that were collected and are included in the dataset.

Field Name | Description
--- | ---
Field Name | Describe here. Include links, data examples, metrics, visualizations where relevant.
Field Name | Describe here. Include links, data examples, metrics, visualizations where relevant.

**Additional Notes:** Add here

**Excluded Fields**

Data fields that were collected but are excluded from the dataset.

**Additional Notes:** Add here

#### Data Processing

<!-- info: Summarize how data from different sources or methods aggregated,
processed, or connected.

Use additional notes to capture any other
relevant information or considerations.

(Usage Note: Duplicate and complete the following for each source OR
collection method.) -->
**Collection Method or Source**

**Description:** Describe here. Include links where relevant.

**Methods employed:** Describe here. Include links where relevant.

**Tools or libraries:** Describe here. Include links where relevant.

**Additional Notes:** Add here

### Collection Criteria
#### Data Selection

<!-- info: Summarize the data selection criteria.

Use additional notes to capture any other relevant information or
considerations. -->
- **Collection Method of Source:** Summarize data selection criteria here. Include links where available.
- **Collection Method of Source:** Summarize data selection criteria here. Include links where available.
- **Collection Method of Source:** Summarize data selection criteria here. Include links where available.

**Additional Notes:** Add here

#### Data Inclusion

<!-- info: Summarize the data inclusion criteria.

Use additional notes to capture any other relevant information or
considerations. -->
- **Collection Method of Source:** Summarize data inclusion criteria here. Include links where available.
- **Collection Method of Source:** Summarize data inclusion criteria here. Include links where available.
- **Collection Method of Source:** Summarize data inclusion criteria here. Include links where available.

**Additional Notes:** Add here

#### Data Exclusion

<!-- info: Summarize the data exclusion criteria.

Use additional notes to capture any other relevant information or
considerations. -->
- **Collection Method of Source:** Summarize data exclusion criteria here. Include links where available.
- **Collection Method of Source:** Summarize data exclusion criteria here. Include links where available.
- **Collection Method of Source:** Summarize data exclusion criteria here. Include links where available.

**Additional Notes:** Add here

### Relationship to Source
#### Use & Utility(ies)

<!-- info: Describe how the resulting dataset is aligned with the purposes,
motivations, or intended use of the upstream source(s).

Use additional notes to capture any other relevant information or
considerations.

(Usage Note: Duplicate and complete the following for each source type.) -->
- **Source Type:** Summarize here. Include links where available.
- **Source Type:** Summarize here. Include links where available.
- **Source Type:** Summarize here. Include links where available.

**Additional Notes:** Add here

#### Benefit and Value(s)

<!-- info: Summarize the benefits of the resulting dataset to its consumers,
compared to the upstream source(s).

Use additional notes to capture any other relevant information or
considerations.

**Additional Notes:** Add here

#### Limitation(s) and Trade-Off(s)

<!-- info: What are the limitations of the resulting dataset to its consumers,
compared to the upstream source(s)?

Break down by source type. (Usage Note: Duplicate and complete the
following for each source type.) -->
- **Source Type:** Summarize here. Include links where available.
- **Source Type:** Summarize here. Include links where available.
- **Source Type:** Summarize here. Include links where available.

### Version and Maintenance

#### First Version


- **Release date:** MM/YYYY
- **Link to dataset:** [Dataset Name + Version]
- **Status:** [Select one: Actively Maintained/Limited Maintenance/Deprecated]
- **Size of Dataset:** 123 MB
- **Number of Instances:** 123456

#### Note(s) and Caveat(s)

<!-- info: Summarize the caveats or nuances of the first version of this
dataset that may affect the use of the current version.

Use additional notes to capture any other relevant information or
considerations. -->
Summarize here. Include links where available.

**Additional Notes:** Add here

#### Cadence


- Yearly
- Quarterly
- Monthly
- Biweekly
- Weekly
- Daily
- Hourly
- Static
- Others (please specify)

#### Last and Next Update(s)


- **Date of last update:** DD/MM/YYYY
- **Total data points affected:** 12345
- **Data points updated:** 12345
- **Data points added:** 12345
- **Data points removed:** 12345
- **Date of next update:** DD/MM/YYYY

#### Changes on Update(s)

<!-- info: Summarize the changes that occur when the dataset is refreshed.

Use additional notes to capture any other relevant information or
considerations.

**Additional Notes:** Add here

## Human and Other Sensitive Attributes
#### Sensitive Human Attribute(s)


- Gender
- Socio-economic status
- Geography
- Language
- Age
- Culture
- Experience or Seniority
- Others (please specify)

#### Intentionality

<!-- info: List fields in the dataset that contain human attributes, and
specify if their collection was intentional or unintentional.

Use additional notes to capture any other relevant information or
considerations. -->
**Intentionally Collected Attributes**

Human attributes were labeled or collected as a part of the dataset creation
process.

Field Name | Description
--- | ---
Field Name | Human Attributed Collected
Field Name | Human Attributed Collected

**Additional Notes:** Add here

**Unintentionally Collected Attributes**

Human attributes were not explicitly collected as a part of the dataset
creation process but can be inferred using additional methods.

Field Name | Description
--- | ---
Field Name | Human Attributed Collected
Field Name | Human Attributed Collected

**Additional Notes:** Add here

#### Rationale

<!-- info: Describe the motivation, rationale, considerations or approaches
that caused this dataset to include the indicated human attributes.

Summarize why or how this might affect the use of the dataset. -->
Summarize here. Include links, table, and media as relevant.

#### Source(s)

<!-- info: List the sources of the human attributes.

Use additional notes to capture any other relevant information or
considerations. -->
- **Human Attribute:** Sources
- **Human Attribute:** Sources
- **Human Attribute:** Sources

**Additional Notes:** Add here

#### Methodology Detail(s)

<!-- info: Describe the methods used to collect human attributes in the
dataset.

Use additional notes to capture any other relevant information or
considerations.

(Usage Note: Duplicate and complete the following for each human
attribute.) -->

**Human Attribute Method:** Describe the collection method here. Include links where necessary

**Collection task:** Describe the task here. Include links where necessary

**Platforms, tools, or libraries:**

- [Platform, tools, or libraries]: Write description here
- [Platform, tools, or libraries]: Write description here
- [Platform, tools, or libraries]: Write description here

**Additional Notes:** Add here

#### Distribution(s)

<!-- info: Provide basic descriptive statistics for each human attribute,
noting key takeaways in the caption.

Use additional notes to capture any other relevant information or
considerations.

(Usage Note: Duplicate and complete the following for each human
attribute.) -->
Human Attribute | Label or Class | Label or Class | Label or Class | Label or Class
--- | --- | --- | --- | ---
Count | 123456 | 123456 | 123456 | 123456
[Statistic] | 123456 | 123456 | 123456 | 123456
[Statistic] | 123456 | 123456 | 123456 | 123456
[Statistic] | 123456 | 123456 | 123456 | 123456

**Above:** Provide a caption for the above table or visualization.
**Additional Notes:** Add here

#### Known Correlations

<!-- info: Describe any known correlations with the indicated sensitive
attributes in this dataset.

Use additional notes to capture any other relevant information or
considerations.

(Usage Note: Duplicate for each known correlation.) -->
[`field_name`, `field_name`]

**Description:** Summarize here. Include visualizations, metrics, or links
where necessary.

**Impact on dataset use:** Summarize here. Include visualizations, metrics, or
links where necessary.

**Additional Notes:** add here

#### Risk(s) and Mitigation(s)

<!-- info: Summarize systemic or residual risks, performance expectations,
trade-offs and caveats because of human attributes in this dataset.

Use additional notes to capture any other relevant information or
considerations.

Usage Note: Duplicate and complete the following for each human attribute. -->
**Human Attribute**

Summarize here. Include links and metrics where applicable.

**Risk type:** [Description + Mitigations]

**Trade-offs, caveats, & other considerations:** Summarize here. Include
visualizations, metrics, or links where necessary.

**Additional Notes:** Add here

## Extended Use
### Use with Other Data
#### Safety Level


- Safe to use with other data
- Conditionally safe to use with other data
- Should not be used with other data
- Unknown
- Others (please specify)

#### Known Safe Dataset(s) or Data Type(s)


**Dataset or Data Type:** Summarize here. Include visualizations, metrics,
or links where necessary.

**Dataset or Data Type:** Summarize here. Include visualizations, metrics,
or links where necessary.

#### Best Practices

<!-- info: Summarize best practices for using this dataset with other datasets
or data types.

Use additional notes to capture any other relevant information or
considerations. -->
Summarize here. Include visualizations, metrics, demonstrative examples,
or links where necessary.

**Additional Notes:** Add here

#### Known Unsafe Dataset(s) or Data Type(s)

<!-- info: Fill this out if you selected "Conditionally safe to use with other
datasets" or "Should not be used with other datasets":

List the known datasets or data types and corresponding transformations that
are **unsafe to join or aggregate** with this dataset. -->
**Dataset or Data Type:** Summarize here. Include visualizations, metrics,
or links where necessary.

**Dataset or Data Type:** Summarize here. Include visualizations, metrics,
or links where necessary.

#### Limitation(s) and Recommendation(s)

<!-- info: Fill this out if you selected "Conditionally safe to use with
other datasets" or "Should not be used with
other datasets":

Summarize limitations of the dataset that introduce foreseeable risks when the
dataset is conjoined with other datasets.

Use additional notes to capture any other relevant information or
considerations. -->
Summarize here. Include links and metrics where applicable.

**Limitation type:** Dataset or data type, description and recommendation.

**Additional Notes:** Add here

### Forking & Sampling
#### Safety Level


- Safe to form and/or sample
- Conditionally safe to fork and/or sample
- Should not be forked and/or sampled
- Unknown
- Others (please specify)

#### Acceptable Sampling Method(s)


- Cluster Sampling
- Haphazard Sampling
- Multi-stage sampling
- Random Sampling
- Retrospective Sampling
- Stratified Sampling
- Systematic Sampling
- Weighted Sampling
- Unknown
- Unsampled
- Others (please specify)

#### Best Practice(s)

<!-- info: Summarize the best practices for forking or sampling this dataset.

Use additional notes to capture any other relevant information or
considerations. -->
Summarize here. Include links, figures, and demonstrative examples where
available.

**Additional Notes:** Add here

#### Risk(s) and Mitigation(s)

<!-- info: Fill this out if you selected "Conditionally safe to fork and/or
sample" or "Should not be forked and/or sampled":

Summarize known or residual risks associated with forking and sampling methods
when applied to the dataset.

Use additional notes to capture any other
relevant information or considerations. -->
Summarize here. Include links and metrics where applicable.

**Risk Type:** [Description + Mitigations]

**Additional Notes:** Add here

#### Limitation(s) and Recommendation(s)

<!-- info: Fill this out if you selected "Conditionally safe to fork and/or
sample" or "Should not be forked and/or sample":

Summarize the limitations that the dataset introduces when forking
or sampling the dataset and corresponding recommendations.

Use additional notes to capture any other relevant information or
considerations. -->
Summarize here. Include links and metrics where applicable.

**Limitation Type:** [Description + Recommendation]

**Additional Notes:** Add here

### Use in ML or AI Systems
#### Dataset Use(s)


- Training
- Testing
- Validation
- Development or Production Use
- Fine Tuning
- Others (please specify)

#### Notable Feature(s)

<!-- info: Describe any notable feature distributions or relationships between
individual instances made explicit.

Include links to servers where readers can explore the data on their own. -->

**Exploration Demo:** [Link to server or demo.]

**Notable Field Name:** Describe here. Include links, data examples, metrics,
visualizations where relevant.

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Usage Guideline(s)

<!-- info: Summarize usage guidelines or policies that consumers should be
aware of.

Use additional notes to capture any other relevant information or
considerations. -->
**Usage Guidelines:** Summarize here. Include links where necessary.

**Approval Steps:** Summarize here. Include links where necessary.

**Reviewer:** Provide the name of a reviewer for publications referencing
this dataset.

**Additional Notes:** Add here

#### Distribution(s)

<!-- info: Describe the recommended splits and corresponding criteria.

Use additional notes to capture any other
relevant information or considerations. -->

Set | Number of data points
--- | ---
Train | 62,563
Test | 62,563
Validation | 62,563
Dev | 62,563

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Known Correlation(s)

<!-- info: Summarize any known correlations with
the indicated features in this dataset.

Use additional notes to capture any other
relevant information or considerations.

(Usage Note: Duplicate for each known
correlation.) -->
`field_name`, `field_name`

**Description:** Summarize here. Include
visualizations, metrics, or links where
necessary.

**Impact on dataset use:** Summarize here.
Include visualizations, metrics, or links
where necessary.

**Risks from correlation:** Summarize here.
Include recommended mitigative steps if
available.

**Additional Notes:** Add here

#### Split Statistics

Statistic | Train | Test | Valid | Dev
--- | --- | --- | --- | ---
Count | 123456 | 123456 | 123456 | 123456
Descriptive Statistic | 123456 | 123456 | 123456 | 123456
Descriptive Statistic | 123456 | 123456 | 123456 | 123456
Descriptive Statistic | 123456 | 123456 | 123456 | 123456

**Above:** Caption for table above.

## Transformations

### Synopsis
#### Transformation(s) Applied


- Anomaly Detection
- Cleaning Mismatched Values
- Cleaning Missing Values
- Converting Data Types
- Data Aggregation
- Dimensionality Reduction
- Joining Input Sources
- Redaction or Anonymization
- Others (Please specify)

#### Field(s) Transformed

<!-- info: Provide the fields in the dataset that
were transformed.

Use additional notes to capture any
other relevant information or
considerations.

(Usage Note: Duplicate and complete
the following for each transformation
type applied. Include the data types to
which fields were transformed.) -->
**Transformation Type**

Field Name | Source & Target
--- | ---
Field Name | Source Field: Target Field
Field Name | Source Field: Target Field
... | ...

**Additional Notes:** Add here

#### Library(ies) and Method(s) Used

<!-- info: Provide a description of the methods
used to transform or process the
dataset.

Use additional notes to capture any
other relevant information or
considerations.

(Usage Note: Duplicate and complete
the following for each transformation
type applied.) -->
**Transformation Type**

**Method:** Describe the transformation
method here. Include links where
necessary.

**Platforms, tools, or libraries:**
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here

**Transformation Results:** Provide
results, outcomes, and actions taken
because of the transformations. Include
visualizations where available.

**Additional Notes:** Add here

### Breakdown of Transformations

#### Cleaning Missing Value(s)


Summarize here. Include links where available.

**Field Name:** Count or description

#### Method(s) Used


Summarize here. Include links where necessary.

**Platforms, tools, or libraries**

- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here

#### Comparative Summary


Summarize here. Include links, tables, visualizations where available.

**Field Name** | **Diff**
--- | ---
Field Name | Before: After
Field Name | Before: After
... | ...

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Residual & Other Risk(s)


Summarize here. Include links and metrics where applicable.

- **Risk Type:** Description + Mitigations
- **Risk Type:** Description + Mitigations
- **Risk Type:** Description + Mitigations

#### Human Oversight Measure(s)


Summarize here. Include links where available.

#### Additional Considerations


Summarize here. Include links where available.

#### Cleaning Mismatched Value(s)


Summarize here. Include links where available.

**Field Name:** Count or Description

#### Method(s) Used


Summarize here. Include links where available.

#### Comparative Summary


Summarize here. Include links where available.

**Field Name** | **Diff**
--- | ---
Field Name | Before: After
Field Name | Before: After
... | ...

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

**Risk Type:** Description + Mitigations

#### Additional Considerations


Summarize here. Include links where available.

#### Anomalies


Summarize here. Include links where available.

**Field Name:** Count or Description

#### Method(s) Used


Summarize here. Include links where necessary.

**Platforms, tools, or libraries**

- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here

#### Comparative Summary


Summarize here. Include links, tables, visualizations where available.

**Field Name** | **Diff**
--- | ---
Field Name | Before: After
Field Name | Before: After
... | ...

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

**Risk Type:** Description + Mitigations

#### Additional Considerations


Summarize here. Include links where available.

#### Dimensionality Reduction


Summarize here. Include links where available.

**Field Name:** Count or Description

#### Method(s) Used


Summarize here. Include links where
necessary.

**Platforms, tools, or libraries**

- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here

#### Comparative Summary


Summarize here. Include links, tables, visualizations where available.

**Field Name** | **Diff**
--- | ---
Field Name | Before: After
Field Name | Before: After
... | ...

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Residual & Other Risks


Summarize here. Include links and metrics where applicable.

**Risk Type:** Description + Mitigations

#### Additional Considerations


Summarize here. Include links where available.

#### Joining Input Sources


Summarize here. Include links where available.

**Field Name:** Count or Description

#### Method(s) Used


Summarize here. Include links where necessary.

**Platforms, tools, or libraries**

- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here

#### Comparative Summary

<!-- info: Why were features joined using this
method over others?

Provide comparative charts showing
before and after dimensionality
reduction processes. -->
Summarize here. Include links, tables, visualizations where available.

**Field Name** | **Diff**
--- | ---
Field Name | Before: After
Field Name | Before: After
... | ...

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

**Risk Type:** Description + Mitigations

#### Additional Considerations


Summarize here. Include links where
available.

#### Redaction or Anonymization


Summarize here. Include links where available.

**Field Name:** Count or Description

#### Method(s) Used


Summarize here. Include links where necessary.

**Platforms, tools, or libraries**

- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here

#### Comparative Summary


Summarize here. Include links, tables, visualizations where available.

**Field Name** | **Diff**
--- | ---
Field Name | Before: After
Field Name | Before: After
... | ...

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

**Risk Type:** Description + Mitigations

#### Additional Considerations


Summarize here. Include links where available.

#### Others (Please Specify)


Summarize here. Include links where available.

**Field Name:** Count or Description

#### Method(s) Used


Summarize here. Include links where necessary.

**Platforms, tools, or libraries**

- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here

#### Comparative Summary


Summarize here. Include links, tables, visualizations where available.

**Field Name** | **Diff**
--- | ---
Field Name | Before: After
Field Name | Before: After
... | ...

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

**Risk type:** [Description + Mitigations]

#### Additional Considerations


Summarize here. Include links where available.

## Annotations & Labeling

#### Annotation Workforce Type


- Annotation Target in Data
- Machine-Generated
- Annotations
- Human Annotations (Expert)
- Human Annotations (Non-Expert)
- Human Annotations (Employees)
- Human Annotations (Contractors)
- Human Annotations (Crowdsourcing)
- Human Annotations (Outsourced / Managed)
- Teams
- Unlabeled
- Others (Please specify)

#### Annotation Characteristic(s)

<!-- info: Describe relevant characteristics of annotations
as indicated. For quality metrics, consider
including accuracy, consensus accuracy, IRR,
XRR at the appropriate granularity (e.g. across
dataset, by annotator, by annotation, etc.).

Use additional notes to capture any other
relevant information or considerations.

(Usage Note: Duplicate and complete the
following for each annotation type.) -->
**Annotation Type** | **Number**
--- | ---
Number of unique annotations | 123456789
Total number of annotations | 123456789
Average annotations per example | 123456789
Number of annotators per example | 123456789
[Quality metric per granuality] | 123456789
[Quality metric per granuality] | 123456789
[Quality metric per granuality] | 123456789

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Annotation Description(s)

<!-- info: Provide descriptions of the annotations
applied to the dataset. Include links
and indicate platforms, tools or libraries
used wherever possible.

Use additional notes to capture any
other relevant information or
considerations.

(Usage Note: Duplicate and complete
the following for each annotation
type.) -->
**(Annotation Type)**

**Description:** Description of annotations (labels, ratings) produced.
Include how this was created or authored.

**Link:** Relevant URL link.

**Platforms, tools, or libraries:**

- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here

**Additional Notes:** Add here

#### Annotation Distribution(s)

<!-- info: Provide a distribution of annotations for each
annotation or class of annotations using the
format below.

Use additional notes to capture any other
relevant information or considerations.

(Usage Note: Duplicate and complete the
following for each annotation type.) -->
**Annotation Type** | **Number**
--- | ---
Annotations (or Class) | 12345 (20%)
Annotations (or Class) | 12345 (20%)
Annotations (or Class) | 12345 (20%)
Annotations (or Class) | 12345 (20%)
Annotations (or Class) | 12345 (20%)

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Annotation Task(s)

<!-- info: Summarize each task type associated
with annotations in the dataset.

Use additional notes to capture any
other relevant information or
considerations.

(Usage Note: Duplicate and complete
the following for each task type.) -->
**(Task Type)**

**Task description:** Summarize here. Include links if available.

**Task instructions:** Summarize here. Include links if available.

**Methods used:** Summarize here. Include links if available.

**Inter-rater adjudication policy:** Summarize here. Include links if
available.

**Golden questions:** Summarize here. Include links if available.

**Additional notes:** Add here

### Human Annotators

#### Annotator Description(s)

<!-- info: Provide a brief description for each annotator
pool performing the human annotation task.

Use additional notes to capture any other
relevant information or considerations.

(Usage Note: Duplicate and complete the
following for each annotation type.) -->
**(Annotation Type)**

**Task type:** Summarize here. Include links if available.

**Number of unique annotators:** Summarize here. Include links if available.

**Expertise of annotators:** Summarize here. Include links if available.

**Description of annotators:** Summarize here. Include links if available.

**Language distribution of annotators:** Summarize here. Include links if
available.

**Geographic distribution of annotators:** Summarize here. Include links if
available.

**Summary of annotation instructions:** Summarize here. Include links if
available.

**Summary of gold questions:** Summarize here. Include links if available.

**Annotation platforms:** Summarize here. Include links if available.

**Additional Notes:** Add here

#### Annotator Task(s)

<!-- info: Provide a brief description for each
annotator pool performing the human
annotation task.

Use additional notes to capture any
other relevant information or
considerations.

(Usage Note: Duplicate and complete
the following for each annotation
type.) -->
**(Task Type)**

**Task description:** Summarize here. Include links if available.

**Task instructions:** Summarize here. Include links if available.

**Methods used:** Summarize here. Include links if available.

**Inter-rater adjudication policy:** Summarize here. Include links if
available.

**Golden questions:** Summarize here. Include links if available.

**Additional notes:** Add here

#### Language(s)

<!-- info: Provide annotator distributions for
each annotation type.

Use additional notes to capture any
other relevant information or
considerations.

(Usage Note: Duplicate and
complete the following for each
annotation type.) -->
**(Annotation Type)**

- Language [Percentage %]
- Language [Percentage %]
- Language [Percentage %]

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Location(s)

<!-- info: Provide annotator distributions for each
annotation type.

Use additional notes to capture any other
relevant information or considerations.

(Usage Note: Duplicate and complete the
following for each annotation type.) -->
**(Annotation Type)**

- Location [Percentage %]
- Location [Percentage %]
- Location [Percentage %]

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Gender(s)

<!-- info: Provide annotator distributions for
each annotation type.

Use additional notes to capture any
other relevant information or
considerations.

(Usage Note: Duplicate and complete
the following for each annotation
type.) -->
**(Annotation Type)**

- Gender [Percentage %]
- Gender [Percentage %]
- Gender [Percentage %]

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

## Validation Types

#### Method(s)


- Data Type Validation
- Range and Constraint Validation
- Code/cross-reference Validation
- Structured Validation
- Consistency Validation
- Not Validated
- Others (Please Specify)

#### Breakdown(s)

<!-- info: Provide a description of the fields and data
points that were validated.

Use additional notes to capture any other
relevant information or considerations.

(Usage Note: Duplicate and complete the
following for each validator type.) -->
**(Validation Type)**

**Number of Data Points Validated:** 12345

**Fields Validated**
Field | Count (if available)
--- | ---
Field | 123456
Field | 123456
Field | 123456

**Above:** Provide a caption for the above table or visualization.

#### Description(s)

<!-- info: Provide a description of the methods used to
validate the dataset.

Use additional notes to capture any other
relevant information or considerations.

(Usage Note: Duplicate and complete the
following for each validator type.) -->
**(Validation Type)**

**Method:** Describe the validation method here. Include links where
necessary.

**Platforms, tools, or libraries:**

- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here
- Platform, tool, or library: Write description here

**Validation Results:** Provide results, outcomes, and actions taken because
of the validation. Include visualizations where available.

**Additional Notes:** Add here

### Description of Human Validators

#### Characteristic(s)


**(Validation Type)**
- Unique validators: 12345
- Number of examples per validator: 123456
- Average cost/task/validator: $$$
- Training provided: Y/N
- Expertise required: Y/N

#### Description(s)

<!-- info: Provide a brief description of the validator
pool(s). Use additional notes to capture any
other relevant information or considerations.

(Usage Note: Duplicate and complete the
following for each validator type.) -->
**(Validation Type)**

**Validator description:** Summarize here. Include links if available.

**Training provided:** Summarize here. Include links if available.

**Validator selection criteria:** Summarize here. Include links if available.

**Training provided:** Summarize here. Include links if available.

**Additional Notes:** Add here

#### Language(s)

<!-- info: Provide validator distributions.
Use additional notes to capture any other relevant information or
considerations.

(Usage Note: Duplicate and complete the following for each annotation type.)-->
**(Validation Type)**

- Language [Percentage %]
- Language [Percentage %]
- Language [Percentage %]

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Location(s)

<!-- info: Provide validator distributions.
Use additional notes to capture any other relevant information or
considerations.

(Usage Note: Duplicate and complete the following for each annotation type.)-->
**(Validation Type)**

- Location [Percentage %]
- Location [Percentage %]
- Location [Percentage %]

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Gender(s)

<!-- info: Provide validator distributions.
Use additional notes to capture any other relevant information or
considerations.

(Usage Note: Duplicate and complete the following for each annotation type.)-->
**(Validation Type)**

- Gender [Percentage %]
- Gender [Percentage %]
- Gender [Percentage %]

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

## Sampling Methods

#### Method(s) Used


- Cluster Sampling
- Haphazard Sampling
- Multi-stage Sampling
- Random Sampling
- Retrospective Sampling
- Stratified Sampling
- Systematic Sampling
- Weighted Sampling
- Unknown
- Unsampled
- Others (Please specify)

#### Characteristic(s)

<!-- info: Provide characteristics of each sampling
method used.

Use additional notes to capture any other
relevant information or considerations.

(Usage Note: Duplicate and complete the
following for each sampling method
used.) -->
**(Sampling Type)** | **Number**
--- | ---
Upstream Source | Write here
Total data sampled | 123m
Sample size | 123
Threshold applied | 123k units at property
Sampling rate | 123
Sample mean | 123
Sample std. dev | 123
Sampling distribution | 123
Sampling variation | 123
Sample statistic | 123

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Sampling Criteria

<!-- info: Describe the criteria used to sample data from
upstream sources.

Use additional notes to capture any other
relevant information or considerations. -->
- **Sampling method:** Summarize here. Include links where applicable.
- **Sampling method:** Summarize here. Include links where applicable.
- **Sampling method:** Summarize here. Include links where applicable.

## Known Applications & Benchmarks

#### ML Application(s)

<!-- info: Provide a list of key ML tasks
that the dataset has been
used for.

Usage Note: Use comma-separated keywords. -->
*For example: Classification, Regression, Object Detection*

#### Evaluation Result(s)

<!-- info: Provide the evaluation results from
models that this dataset has been used
in.

Use additional notes to capture any
other relevant information or
considerations.

(Usage Note: Duplicate and complete the
following for each model.) -->
**(Model Name)**

**Model Card:** [Link to full model card]

Evaluation Results

- Accuracy: 123 (params)
- Precision: 123 (params)
- Recall: 123 (params)
- Performance metric: 123 (params)

**Above:** Provide a caption for the above table or visualization.

**Additional Notes:** Add here

#### Evaluation Process(es)

<!-- info: Provide a description of the evaluation process for
the model's overall performance or the
determination of how the dataset contributes to
the model's performance.

Use additional notes to capture any other relevant
information or considerations.

(Usage Note: Duplicate and complete the following
for each model and method used.) -->
**(Model Name)**

**[Method used]:** Summarize here. Include links where available.

- **Process:** Summarize here. Include links, diagrams, visualizations, tables as relevant.
- **Factors:** Summarize here. Include links, diagrams, visualizations, tables as relevant.
- **Considerations:** Summarize here. Include links, diagrams, visualizations, tables as relevant.
- **Results:** Summarize here. Include links, diagrams, visualizations, tables as relevant.

**Additional Notes:** Add here

#### Description(s) and Statistic(s)

<!-- info: Provide a description of the model(s) and
task(s) that this dataset has been used
in.

Use additional notes to capture any
other relevant information or
considerations.

(Usage Note: Duplicate and complete the
following for each model.) -->
**(Model Name)**

**Model Card:** Link to full model card

**Model Description:** Summarize here. Include links where applicable.

- Model Size: 123 (params)
- Model Weights: 123 (params)
- Model Layers 123 (params)
- Latency: 123 (params)

**Additional Notes:** Add here

#### Expected Performance and Known Caveats

<!-- info: Provide a description of the expected performance
and known caveats of the models for this dataset.

Use additional notes to capture any other relevant
information or considerations.

(Usage Note: Duplicate and complete the following
for each model.) -->
**(Model Name)**

**Expected Performance:** Summarize here. Include links where available.

**Known Caveats:** Summarize here. Include links, diagrams, visualizations, and
tables as relevant.

**Additioanl Notes:** Add here

## Terms of Art
### Concepts and Definitions referenced in this Data Card

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

#### Term of Art
Definition: Write here

Source: Write here and share link

Interpretation: Write here

## Reflections on Data

### Title
Write notes here.

### Title
Write notes here.

Dataset Name (Acronym)

Write a short summary describing your dataset (limit 200 words). Include information about the content and topic of the data, sources and motivations for the dataset, benefits and the problems or use cases it is suitable for.

Dataset Link

Data Card Author(s)

Name, Team: (Owner / Contributor / Manager)
Name, Team: (Owner / Contributor / Manager)
Name, Team: (Owner / Contributor / Manager)

Authorship

Publishers

Publishing Organization(s)

Organization Name

Industry Type(s)

Corporate - Tech
Corporate - Non-Tech (please specify)
Academic - Tech
Academic - Non-Tech (please specify)
Not-for-profit - Tech
Not-for-profit - Non-Tech (please specify)
Individual (please specify)
Others (please specify)

Contact Detail(s)

Publishing POC: Provide the name for a POC for this dataset's publishers
Affiliation: Provide the POC's institutional affiliation
Contact: Provide the POC's contact details
Mailing List: Provide a mailing list if available
Website: Provide a website for the dataset if available

Dataset Owners

Team(s)

Name of Group or Team

Contact Detail(s)

Dataset Owner(s): Provide the names of the dataset owners
Affiliation: Provide the affiliation of the dataset owners
Contact: Provide the email of the dataset owner
Group Email: Provide a link to the mailing-list@server.com for the dataset owner team
Website: Provide a link to the website for the dataset owner team

Author(s)

Name, Title, Affiliation, YYYY
Name, Title, Affiliation, YYYY
Name, Title, Affiliation, YYYY
Name, Title, Affiliation, YYYY

Funding Sources

Institution(s)

Name of Institution
Name of Institution
Name of Institution

Funding or Grant Summary(ies)

For example, Institution 1 and institution 2 jointly funded this dataset as a part of the XYZ data program, funded by XYZ grant awarded by institution 3 for the years YYYY-YYYY.

Summarize here. Link to documents if available.

Additional Notes: Add here

Dataset Overview

Data Subject(s)

Sensitive Data about people
Non-Sensitive Data about people
Data about natural phenomena
Data about places and objects
Synthetically generated data
Data about systems or products and their behaviors
Unknown
Others (Please specify)

Dataset Snapshot

Category	Data
Size of Dataset	123456 MB
Number of Instances	123456
Number of Fields	123456
Labeled Classes	123456
Number of Labels	123456789
Average Labeles Per Instance	123456
Algorithmic Labels	123456789
Human Labels	123456789
Other Characteristics	123456

Above: Provide a caption for the above table of visualization.

Additional Notes: Add here.

Content Description

Summarize here. Include links if available.

Additional Notes: Add here.

Descriptive Statistics

Statistic	Field Name	Field Name	Field Name	Field Name	Field Name	Field Name
count
mean
std
min
25%
50%
75%
max
mode

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here.

Sensitivity of Data

Sensitivity Type(s)

User Content
User Metadata
User Activity Data
Identifiable Data
S/PII
Business Data
Employee Data
Pseudonymous Data
Anonymous Data
Health Data
Children’s Data
None
Others (Please specify)

Field(s) with Sensitive Data

Intentional Collected Sensitive Data

(S/PII were collected as a part of the dataset creation process.)

Field Name	Description
Field Name	Type of S/PII
Field Name	Type of S/PII
Field Name	Type of S/PII

Unintentionally Collected Sensitive Data

(S/PII were not explicitly collected as a part of the dataset creation process but can be inferred using additional methods.)

Field Name	Description
Field Name	Type of S/PII
Field Name	Type of S/PII
Field Name	Type of S/PII

Additional Notes: Add here

Security and Privacy Handling

Summarize here. Include links and metrics where applicable.

Method: description

Additional Notes: Add here

Risk Type(s)

Direct Risk
Indirect Risk
Residual Risk
No Known Risks
Others (Please Specify)

Supplemental Link(s)

Link Name or Document Type: link

Risk(s) and Mitigation(s)

Summarize here. Include links and metrics where applicable.

Risk type: Description + Mitigations

Additional Notes: Add here

Dataset Version and Maintenance

Maintenance Status

Regularly Updated - New versions of the dataset have been or will continue to be made available.

Actively Maintained - No new versions will be made available, but this dataset will be actively maintained, including but not limited to updates to the data.

Limited Maintenance - The data will not be updated, but any technical issues will be addressed.

Deprecated - This dataset is obsolete or is no longer being maintained.

Version Details

Current Version: 1.0

Last Updated: MM/YYYY

Release Date: MM/YYYY

Maintenance Plan

Summarize here. Include links and metrics where applicable.

Versioning: Summarize here. Include information about criteria for versioning the dataset.

Updates: Summarize here. Include information about criteria for refreshing or updating the dataset.

Errors: Summarize here. Include information about criteria for refreshing or updating the dataset.

Feedback: Summarize here. Include information about criteria for refreshing or updating the dataset.

Additional Notes: Add here

Next Planned Update(s)

Version affected: 1.0

Next data update: MM/YYYY

Next version: 1.1

Next version update: MM/YYYY

Expected Change(s)

Updates to Data: Summarize here. Include links, charts, and visualizations as appropriate.

Updates to Dataset: Summarize here. Include links, charts, and visualizations as appropriate.

Additional Notes: Add here

Example of Data Points

Primary Data Modality

Image Data
Text Data
Tabular Data
Audio Data
Video Data
Time Series
Graph Data
Geospatial Data
Multimodel (please specify)
Unknown
Others (please specify)

Sampling of Data Points

Demo Link
Typical Data Point Link
Outlier Data Point Link
Other Data Point Link
Other Data Point Link

Data Fields

Field Name	Field Value	Description
Field Name	Field Value	Description
Field Name	Field Value	Description
Field Name	Field Value	Description

Above: Provide a caption for the above table or visualization if used.

Additional Notes: Add here

Typical Data Point

Summarize here. Include any criteria for typicality of data point.

{'q_id': '8houtx',
      'title': 'Why does water heated to room temperature feel colder than the air around it?',
      'selftext': '',
      'document': '',
      'subreddit': 'explainlikeimfive',
      'answers': {'a_id': ['dylcnfk', 'dylcj49'],
      'text': ["Water transfers heat more efficiently than air. When something feels cold it's because heat is being transferred from your skin to whatever you're touching. ... Get out of the water and have a breeze blow on you while you're wet, all of the water starts evaporating, pulling even more heat from you."],
      'score': [5, 2]},
      'title_urls': {'url': []},
      'selftext_urls': {'url': []},
      'answers_urls': {'url': []}}

Additional Notes: Add here

Atypical Data Point

Summarize here. Include any criteria for atypicality of data point.

{'q_id': '8houtx',
      'title': 'Why does water heated to room temperature feel colder than the air around it?',
      'selftext': '',
      'document': '',
      'subreddit': 'explainlikeimfive',
      'answers': {'a_id': ['dylcnfk', 'dylcj49'],
      'text': ["Water transfers heat more efficiently than air. When something feels cold it's because heat is being transferred from your skin to whatever you're touching. ... Get out of the water and have a breeze blow on you while you're wet, all of the water starts evaporating, pulling even more heat from you."],
      'score': [5, 2]},
      'title_urls': {'url': []},
      'selftext_urls': {'url': []},
      'answers_urls': {'url': []}}

Additional Notes: Add here

Motivations & Intentions

Motivations

Purpose(s)

Monitoring
Research
Production
Others (please specify)

Domain(s) of Application

For example: Machine Learning, Computer Vision, Object Detection.

keyword, keyword, keyword

Motivating Factor(s)

For example:

Bringing demographic diversity to imagery training data for object-detection models
Encouraging academics to take on second-order challenges of cultural representation in object detection

Summarize motivation here. Include links where relevant.

Intended Use

Dataset Use(s)

Safe for production use
Safe for research use
Conditional use - some unsafe applications
Only approved use
Others (please specify)

Suitable Use Case(s)

Suitable Use Case: Summarize here. Include links where necessary.

Additional Notes: Add here

Unsuitable Use Case(s)

Unsuitable Use Case: Summarize here. Include links where necessary.

Additional Notes: Add here

Research and Problem Space(s)

Summarize here. Include any specific research questions.

Citation Guidelines

Guidelines & Steps: Summarize here. Include links where necessary.

BiBTeX:

@article{kuznetsova2020open,
      title={The open images dataset v4},
      author={Kuznetsova, Alina and Rom, Hassan and Alldrin, and others},
      journal={International Journal of Computer Vision},
      volume={128},
      number={7},
      pages={1956--1981},
      year={2020},
      publisher={Springer}
    }

Additional Notes: Add here

Access, Rentention, & Wipeout

Access

Access Type

Internal - Unrestricted
Internal - Restricted
External - Open Acess
Others (please specify)

Documentation Link(s)

Dataset Website URL
GitHub URL

Prerequisite(s)

For example:

This dataset requires membership in [specific] database groups:

Complete the [Mandatory Training]
Read [Data Usage Policy]
Initiate a Data Requesting by filing

Policy Link(s)

Direct download URL
Other repository URL

Code to download data:

...

Access Control List(s)

Access Control List: Write summary and notes here.

Additional Notes: Add here

Retention

Duration

Specify duration in days, months, or years.

Policy Summary

Retention Plan ID: Write here

Summary: Write summary and notes here

Process Guide

For example:

This dataset compiles with [standard policy guidelines].

Additional Notes: Add here

Exception(s) and Exemption(s)

Exemption Code: ANONYMOUS_DATA / EMPLOYEE_DATA / PUBLIC_DATA / INTERNAL_BUSINESS_DATA / SIMULATED_TEST_DATA

Summary: Write summary and notes here.

Additional Notes: Add here

Wipeout and Deletion

Duration

Specify duration in days, months, or years.

Deletion Event Summary

Sequence of deletion and processing events:

Summarize first event here
Summarize second event here
Summarize third event here

Additional Notes: Add here

Acceptable Means of Deletion

Write acceptable means of deletion
Write acceptable means of deletion
Write acceptable means of deletion

Post-Deletion Obligations

Sequence of post-deletion obligations:

Summarize first obligation here
Summarize second obligation here
Summarize third obligation here

Additional Notes: Add here

Operational Requirement(s)

Wipeout Integration Operational Requirements:

Write first requirement here
Write second requirement here
Write third requirement here

Exceptions and Exemptions

Policy Exception bug: [bug]

Summary: Write summary and notes here

Additional Notes: Add here

Provenance

Collection

Method(s) Used

API
Artificially Generated
Crowdsourced - Paid
Crowdsourced - Volunteer
Vendor Collection Efforts
Scraped or Crawled
Survey, forms, or polls
Taken from other existing datasets
Unknown
To be determined
Others (please specify)

Methodology Detail(s)

Collection Type

Source: Describe here. Include links where available.

Platform: [Platform Name], Describe platform here. Include links where relevant.

Is this source considered sensitive or high-risk? [Yes/No]

Dates of Collection: [MMM YYYY - MMM YYYY]

Primary modality of collection data:

Usage Note: Select one for this collection type.

Image Data
Text Data
Tabular Data
Audio Data
Video Data
Time Series
Graph Data
Geospatial Data
Unknown
Multimodal (please specify)
Others (please specify)

Update Frequency for collected data:

Usage Note: Select one for this collection type.

Yearly
Quarterly
Monthly
Biweekly
Weekly
Daily
Hourly
Static
Others (please specify)

Additional Links for this collection:

[Access Policy]
[Wipeout Policy]
[Retention Policy]

Additional Notes: Add here

Source Description(s)

Source: Describe here. Include links, data examples, metrics, visualizations where relevant.
Source: Describe here. Include links, data examples, metrics, visualizations where relevant.
Source: Describe here. Include links, data examples, metrics, visualizations where relevant.

Additional Notes: Add here

Collection Cadence

Static: Data was collected once from single or multiple sources.

Streamed: Data is continuously acquired from single or multiple sources.

Dynamic: Data is updated regularly from single or multiple sources.

Others: Please specify

Data Integration

Source

Included Fields

Data fields that were collected and are included in the dataset.

Field Name	Description
Field Name	Describe here. Include links, data examples, metrics, visualizations where relevant.
Field Name	Describe here. Include links, data examples, metrics, visualizations where relevant.

Additional Notes: Add here

Excluded Fields

Data fields that were collected but are excluded from the dataset.

Field Name	Description
Field Name	Describe here. Include links, data examples, metrics, visualizations where relevant.
Field Name	Describe here. Include links, data examples, metrics, visualizations where relevant.

Additional Notes: Add here

Data Processing

Collection Method or Source

Description: Describe here. Include links where relevant.

Methods employed: Describe here. Include links where relevant.

Tools or libraries: Describe here. Include links where relevant.

Additional Notes: Add here

Collection Criteria

Data Selection

Collection Method of Source: Summarize data selection criteria here. Include links where available.
Collection Method of Source: Summarize data selection criteria here. Include links where available.
Collection Method of Source: Summarize data selection criteria here. Include links where available.

Additional Notes: Add here

Data Inclusion

Collection Method of Source: Summarize data inclusion criteria here. Include links where available.
Collection Method of Source: Summarize data inclusion criteria here. Include links where available.
Collection Method of Source: Summarize data inclusion criteria here. Include links where available.

Additional Notes: Add here

Data Exclusion

Collection Method of Source: Summarize data exclusion criteria here. Include links where available.
Collection Method of Source: Summarize data exclusion criteria here. Include links where available.
Collection Method of Source: Summarize data exclusion criteria here. Include links where available.

Additional Notes: Add here

Relationship to Source

Use & Utility(ies)

Source Type: Summarize here. Include links where available.
Source Type: Summarize here. Include links where available.
Source Type: Summarize here. Include links where available.

Additional Notes: Add here

Benefit and Value(s)

Source Type: Summarize here. Include links where available.
Source Type: Summarize here. Include links where available.
Source Type: Summarize here. Include links where available.

Additional Notes: Add here

Limitation(s) and Trade-Off(s)

Source Type: Summarize here. Include links where available.
Source Type: Summarize here. Include links where available.
Source Type: Summarize here. Include links where available.

Version and Maintenance

First Version

Release date: MM/YYYY
Link to dataset: [Dataset Name + Version]
Status: [Select one: Actively Maintained/Limited Maintenance/Deprecated]
Size of Dataset: 123 MB
Number of Instances: 123456

Note(s) and Caveat(s)

Summarize here. Include links where available.

Additional Notes: Add here

Cadence

Yearly
Quarterly
Monthly
Biweekly
Weekly
Daily
Hourly
Static
Others (please specify)

Last and Next Update(s)

Date of last update: DD/MM/YYYY
Total data points affected: 12345
Data points updated: 12345
Data points added: 12345
Data points removed: 12345
Date of next update: DD/MM/YYYY

Changes on Update(s)

Source Type: Summarize here. Include links where available.
Source Type: Summarize here. Include links where available.
Source Type: Summarize here. Include links where available.

Additional Notes: Add here

Human and Other Sensitive Attributes

Sensitive Human Attribute(s)

Gender
Socio-economic status
Geography
Language
Age
Culture
Experience or Seniority
Others (please specify)

Intentionality

Intentionally Collected Attributes

Human attributes were labeled or collected as a part of the dataset creation process.

Field Name	Description
Field Name	Human Attributed Collected
Field Name	Human Attributed Collected

Additional Notes: Add here

Unintentionally Collected Attributes

Human attributes were not explicitly collected as a part of the dataset creation process but can be inferred using additional methods.

Field Name	Description
Field Name	Human Attributed Collected
Field Name	Human Attributed Collected

Additional Notes: Add here

Rationale

Summarize here. Include links, table, and media as relevant.

Source(s)

Human Attribute: Sources
Human Attribute: Sources
Human Attribute: Sources

Additional Notes: Add here

Methodology Detail(s)

Human Attribute Method: Describe the collection method here. Include links where necessary

Collection task: Describe the task here. Include links where necessary

Platforms, tools, or libraries:

[Platform, tools, or libraries]: Write description here
[Platform, tools, or libraries]: Write description here
[Platform, tools, or libraries]: Write description here

Additional Notes: Add here

Distribution(s)

Human Attribute	Label or Class	Label or Class	Label or Class	Label or Class
Count	123456	123456	123456	123456
[Statistic]	123456	123456	123456	123456
[Statistic]	123456	123456	123456	123456
[Statistic]	123456	123456	123456	123456

Above: Provide a caption for the above table or visualization. Additional Notes: Add here

Known Correlations

[field_name, field_name]

Description: Summarize here. Include visualizations, metrics, or links where necessary.

Impact on dataset use: Summarize here. Include visualizations, metrics, or links where necessary.

Additional Notes: add here

Risk(s) and Mitigation(s)

Human Attribute

Summarize here. Include links and metrics where applicable.

Risk type: [Description + Mitigations]

Trade-offs, caveats, & other considerations: Summarize here. Include visualizations, metrics, or links where necessary.

Additional Notes: Add here

Extended Use

Use with Other Data

Safety Level

Safe to use with other data
Conditionally safe to use with other data
Should not be used with other data
Unknown
Others (please specify)

Known Safe Dataset(s) or Data Type(s)

Dataset or Data Type: Summarize here. Include visualizations, metrics, or links where necessary.

Best Practices

Summarize here. Include visualizations, metrics, demonstrative examples, or links where necessary.

Additional Notes: Add here

Known Unsafe Dataset(s) or Data Type(s)

Dataset or Data Type: Summarize here. Include visualizations, metrics, or links where necessary.

Limitation(s) and Recommendation(s)

Summarize here. Include links and metrics where applicable.

Limitation type: Dataset or data type, description and recommendation.

Additional Notes: Add here

Forking & Sampling

Safety Level

Safe to form and/or sample
Conditionally safe to fork and/or sample
Should not be forked and/or sampled
Unknown
Others (please specify)

Acceptable Sampling Method(s)

Cluster Sampling
Haphazard Sampling
Multi-stage sampling
Random Sampling
Retrospective Sampling
Stratified Sampling
Systematic Sampling
Weighted Sampling
Unknown
Unsampled
Others (please specify)

Dataset Use(s)

Training
Testing
Validation
Development or Production Use
Fine Tuning
Others (please specify)

Notable Feature(s)

Exploration Demo: [Link to server or demo.]

Notable Field Name: Describe here. Include links, data examples, metrics, visualizations where relevant.

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Usage Guideline(s)

Usage Guidelines: Summarize here. Include links where necessary.

Approval Steps: Summarize here. Include links where necessary.

Reviewer: Provide the name of a reviewer for publications referencing this dataset.

Additional Notes: Add here

Distribution(s)

Set	Number of data points
Train	62,563
Test	62,563
Validation	62,563
Dev	62,563

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Known Correlation(s)

field_name, field_name

Description: Summarize here. Include visualizations, metrics, or links where necessary.

Impact on dataset use: Summarize here. Include visualizations, metrics, or links where necessary.

Risks from correlation: Summarize here. Include recommended mitigative steps if available.

Additional Notes: Add here

Split Statistics

Statistic	Train	Test	Valid	Dev
Count	123456	123456	123456	123456
Descriptive Statistic	123456	123456	123456	123456
Descriptive Statistic	123456	123456	123456	123456
Descriptive Statistic	123456	123456	123456	123456

Above: Caption for table above.

Transformations

Synopsis

Transformation(s) Applied

Anomaly Detection
Cleaning Mismatched Values
Cleaning Missing Values
Converting Data Types
Data Aggregation
Dimensionality Reduction
Joining Input Sources
Redaction or Anonymization
Others (Please specify)

Field(s) Transformed

Transformation Type

Field Name	Source & Target
Field Name	Source Field: Target Field
Field Name	Source Field: Target Field
...	...

Additional Notes: Add here

Library(ies) and Method(s) Used

Transformation Type

Method: Describe the transformation method here. Include links where necessary.

Platforms, tools, or libraries:

Platform, tool, or library: Write description here
Platform, tool, or library: Write description here
Platform, tool, or library: Write description here

Transformation Results: Provide results, outcomes, and actions taken because of the transformations. Include visualizations where available.

Additional Notes: Add here

Breakdown of Transformations

Cleaning Missing Value(s)

Summarize here. Include links where available.

Field Name: Count or description

Method(s) Used

Summarize here. Include links where necessary.

Platforms, tools, or libraries

Platform, tool, or library: Write description here
Platform, tool, or library: Write description here
Platform, tool, or library: Write description here

Comparative Summary

Summarize here. Include links, tables, visualizations where available.

Field Name	Diff
Field Name	Before: After
Field Name	Before: After
...	...

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Residual & Other Risk(s)

Summarize here. Include links and metrics where applicable.

Risk Type: Description + Mitigations
Risk Type: Description + Mitigations
Risk Type: Description + Mitigations

Human Oversight Measure(s)

Summarize here. Include links where available.

Additional Considerations

Summarize here. Include links where available.

Cleaning Mismatched Value(s)

Summarize here. Include links where available.

Field Name: Count or Description

Method(s) Used

Summarize here. Include links where available.

Comparative Summary

Summarize here. Include links where available.

Field Name	Diff
Field Name	Before: After
Field Name	Before: After
...	...

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Residual & Other Risk(s)

Summarize here. Include links and metrics where applicable.

Risk Type: Description + Mitigations

Human Oversight Measure(s)

Summarize here. Include links where available.

Additional Considerations

Summarize here. Include links where available.

Anomalies

Summarize here. Include links where available.

Field Name: Count or Description

Method(s) Used

Summarize here. Include links where necessary.

Platforms, tools, or libraries

Platform, tool, or library: Write description here
Platform, tool, or library: Write description here
Platform, tool, or library: Write description here

Comparative Summary

Summarize here. Include links, tables, visualizations where available.

Field Name	Diff
Field Name	Before: After
Field Name	Before: After
...	...

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Residual & Other Risk(s)

Summarize here. Include links and metrics where applicable.

Risk Type: Description + Mitigations

Human Oversight Measure(s)

Summarize here. Include links where available.

Additional Considerations

Summarize here. Include links where available.

Dimensionality Reduction

Summarize here. Include links where available.

Field Name: Count or Description

Method(s) Used

Summarize here. Include links where necessary.

Platforms, tools, or libraries

Platform, tool, or library: Write description here
Platform, tool, or library: Write description here
Platform, tool, or library: Write description here

Comparative Summary

Summarize here. Include links, tables, visualizations where available.

Field Name	Diff
Field Name	Before: After
Field Name	Before: After
...	...

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Residual & Other Risks

Summarize here. Include links and metrics where applicable.

Risk Type: Description + Mitigations

Human Oversight Measure(s)

Summarize here. Include links where available.

Additional Considerations

Summarize here. Include links where available.

Joining Input Sources

Summarize here. Include links where available.

Field Name: Count or Description

Method(s) Used

Summarize here. Include links where necessary.

Platforms, tools, or libraries

Platform, tool, or library: Write description here
Platform, tool, or library: Write description here
Platform, tool, or library: Write description here

Comparative Summary

Summarize here. Include links, tables, visualizations where available.

Field Name	Diff
Field Name	Before: After
Field Name	Before: After
...	...

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Residual & Other Risk(s)

Summarize here. Include links and metrics where applicable.

Risk Type: Description + Mitigations

Human Oversight Measure(s)

Summarize here. Include links where available.

Additional Considerations

Summarize here. Include links where available.

Redaction or Anonymization

Summarize here. Include links where available.

Field Name: Count or Description

Method(s) Used

Summarize here. Include links where necessary.

Platforms, tools, or libraries

Platform, tool, or library: Write description here
Platform, tool, or library: Write description here
Platform, tool, or library: Write description here

Comparative Summary

Summarize here. Include links, tables, visualizations where available.

Field Name	Diff
Field Name	Before: After
Field Name	Before: After
...	...

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Residual & Other Risk(s)

Summarize here. Include links and metrics where applicable.

Risk Type: Description + Mitigations

Human Oversight Measure(s)

Summarize here. Include links where available.

Additional Considerations

Summarize here. Include links where available.

Others (Please Specify)

Summarize here. Include links where available.

Field Name: Count or Description

Method(s) Used

Summarize here. Include links where necessary.

Platforms, tools, or libraries

Platform, tool, or library: Write description here
Platform, tool, or library: Write description here
Platform, tool, or library: Write description here

Comparative Summary

Summarize here. Include links, tables, visualizations where available.

Field Name	Diff
Field Name	Before: After
Field Name	Before: After
...	...

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Residual & Other Risk(s)

Summarize here. Include links and metrics where applicable.

Risk type: [Description + Mitigations]

Human Oversight Measure(s)

Summarize here. Include links where available.

Additional Considerations

Summarize here. Include links where available.

Annotations & Labeling

Annotation Workforce Type

Annotation Target in Data
Machine-Generated
Annotations
Human Annotations (Expert)
Human Annotations (Non-Expert)
Human Annotations (Employees)
Human Annotations (Contractors)
Human Annotations (Crowdsourcing)
Human Annotations (Outsourced / Managed)
Teams
Unlabeled
Others (Please specify)

Annotation Characteristic(s)

Annotation Type	Number
Number of unique annotations	123456789
Total number of annotations	123456789
Average annotations per example	123456789
Number of annotators per example	123456789
[Quality metric per granuality]	123456789
[Quality metric per granuality]	123456789
[Quality metric per granuality]	123456789

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Annotation Description(s)

(Annotation Type)

Description: Description of annotations (labels, ratings) produced. Include how this was created or authored.

Link: Relevant URL link.

Platforms, tools, or libraries:

Platform, tool, or library: Write description here
Platform, tool, or library: Write description here
Platform, tool, or library: Write description here

Additional Notes: Add here

Annotation Distribution(s)

Annotation Type	Number
Annotations (or Class)	12345 (20%)
Annotations (or Class)	12345 (20%)
Annotations (or Class)	12345 (20%)
Annotations (or Class)	12345 (20%)
Annotations (or Class)	12345 (20%)

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Annotation Task(s)

(Task Type)

Task description: Summarize here. Include links if available.

Task instructions: Summarize here. Include links if available.

Methods used: Summarize here. Include links if available.

Inter-rater adjudication policy: Summarize here. Include links if available.

Golden questions: Summarize here. Include links if available.

Additional notes: Add here

Human Annotators

Annotator Description(s)

(Annotation Type)

Task type: Summarize here. Include links if available.

Number of unique annotators: Summarize here. Include links if available.

Expertise of annotators: Summarize here. Include links if available.

Description of annotators: Summarize here. Include links if available.

Language distribution of annotators: Summarize here. Include links if available.

Geographic distribution of annotators: Summarize here. Include links if available.

Summary of annotation instructions: Summarize here. Include links if available.

Summary of gold questions: Summarize here. Include links if available.

Annotation platforms: Summarize here. Include links if available.

Additional Notes: Add here

Annotator Task(s)

(Task Type)

Task description: Summarize here. Include links if available.

Task instructions: Summarize here. Include links if available.

Methods used: Summarize here. Include links if available.

Inter-rater adjudication policy: Summarize here. Include links if available.

Golden questions: Summarize here. Include links if available.

Additional notes: Add here

Language(s)

(Annotation Type)

Language [Percentage %]
Language [Percentage %]
Language [Percentage %]

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Location(s)

(Annotation Type)

Location [Percentage %]
Location [Percentage %]
Location [Percentage %]

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Gender(s)

(Annotation Type)

Gender [Percentage %]
Gender [Percentage %]
Gender [Percentage %]

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Validation Types

Method(s)

Data Type Validation
Range and Constraint Validation
Code/cross-reference Validation
Structured Validation
Consistency Validation
Not Validated
Others (Please Specify)

Breakdown(s)

(Validation Type)

Number of Data Points Validated: 12345

Fields Validated

Field	Count (if available)
Field	123456
Field	123456
Field	123456

Above: Provide a caption for the above table or visualization.

Description(s)

(Validation Type)

Method: Describe the validation method here. Include links where necessary.

Platforms, tools, or libraries:

Platform, tool, or library: Write description here
Platform, tool, or library: Write description here
Platform, tool, or library: Write description here

Validation Results: Provide results, outcomes, and actions taken because of the validation. Include visualizations where available.

Additional Notes: Add here

Description of Human Validators

Characteristic(s)

(Validation Type)

Unique validators: 12345
Number of examples per validator: 123456
Average cost/task/validator: $$$
Training provided: Y/N
Expertise required: Y/N

Description(s)

(Validation Type)

Validator description: Summarize here. Include links if available.

Training provided: Summarize here. Include links if available.

Validator selection criteria: Summarize here. Include links if available.

Training provided: Summarize here. Include links if available.

Additional Notes: Add here

Language(s)

(Validation Type)

Language [Percentage %]
Language [Percentage %]
Language [Percentage %]

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Location(s)

(Validation Type)

Location [Percentage %]
Location [Percentage %]
Location [Percentage %]

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Gender(s)

(Validation Type)

Gender [Percentage %]
Gender [Percentage %]
Gender [Percentage %]

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Sampling Methods

Method(s) Used

Cluster Sampling
Haphazard Sampling
Multi-stage Sampling
Random Sampling
Retrospective Sampling
Stratified Sampling
Systematic Sampling
Weighted Sampling
Unknown
Unsampled
Others (Please specify)

Characteristic(s)

(Sampling Type)	Number
Upstream Source	Write here
Total data sampled	123m
Sample size	123
Threshold applied	123k units at property
Sampling rate	123
Sample mean	123
Sample std. dev	123
Sampling distribution	123
Sampling variation	123
Sample statistic	123

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Sampling Criteria

Sampling method: Summarize here. Include links where applicable.
Sampling method: Summarize here. Include links where applicable.
Sampling method: Summarize here. Include links where applicable.

Known Applications & Benchmarks

ML Application(s)

For example: Classification, Regression, Object Detection

Evaluation Result(s)

(Model Name)

Model Card: [Link to full model card]

Evaluation Results

Accuracy: 123 (params)
Precision: 123 (params)
Recall: 123 (params)
Performance metric: 123 (params)

Above: Provide a caption for the above table or visualization.

Additional Notes: Add here

Evaluation Process(es)

(Model Name)

[Method used]: Summarize here. Include links where available.

Process: Summarize here. Include links, diagrams, visualizations, tables as relevant.
Factors: Summarize here. Include links, diagrams, visualizations, tables as relevant.
Considerations: Summarize here. Include links, diagrams, visualizations, tables as relevant.
Results: Summarize here. Include links, diagrams, visualizations, tables as relevant.

Additional Notes: Add here

Description(s) and Statistic(s)

(Model Name)

Model Card: Link to full model card

Model Description: Summarize here. Include links where applicable.

Model Size: 123 (params)
Model Weights: 123 (params)
Model Layers 123 (params)
Latency: 123 (params)

Additional Notes: Add here

Expected Performance and Known Caveats

(Model Name)

Expected Performance: Summarize here. Include links where available.

Known Caveats: Summarize here. Include links, diagrams, visualizations, and tables as relevant.

Additioanl Notes: Add here

Terms of Art

Interpretation: Write here

Reflections on Data

Title

Write notes here.

Title

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Title

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