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Joan GinerJoan Giner
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updated langium dependencies to version 1.1, and minor fixes
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examples/.DS_Store

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<html>
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<head>
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<title>datasetName</title>
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<meta charset="utf-8"/>
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<script type="application/ld+json">
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{
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"@context":"https://schema.org/",
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"@type":"Dataset",
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"name":"datasetName",
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"description":,
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"url":"",
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"sameAs":"",
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"identifier": [aUniqueId],
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"keywords":[
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"AREA > datasetArea,",
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"TAGS > datasetTags,",
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],
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"license" : CC0: Public Domain,
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"hasPart" : [
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{
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"@type": "Dataset",
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"name": Names,
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"description": Describe the instance,
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},
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],
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"includedInDataCatalog":{
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"@type":"DataCatalog",
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"name":"data.gov"
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},
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"distribution":[
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{
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"@type":"DataDownload",
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"encodingFormat":"CSV",
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"contentUrl":"http://www.ncdc.noaa.gov/stormevents/ftp.jsp"
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},
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{
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"@type":"DataDownload",
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"encodingFormat":"XML",
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"contentUrl":"http://gis.ncdc.noaa.gov/all-records/catalog/search/resource/details.page?id=gov.noaa.ncdc:C00510"
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}
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],
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"temporalCoverage":"[object Object]/undefined",
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"creator":{
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"@type":"Author",
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"url": "",
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"name":"authorName",
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"contactPoint":{
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"@type":"ContactPoint",
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"contactType": "email,
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}
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},
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}
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</script>
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<style>
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table {
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font-family: arial, sans-serif;
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border-collapse: collapse;
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width: 100%;
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}
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td, th {
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border: 1px solid #dddddd;
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text-align: left;
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padding: 8px;
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background-color:grey
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}
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tr:nth-child(even) {
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background-color: #dddddd;
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}
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</style></head><body> <h1>Documentation of datasetName's dataset</h1><h2>Metadata: </h2><div> <p>identifier: aUniqueId </p><p>version: v0000 </p><p>Citation: </p><end></end><div><h3>For what prupose was the dataset created?</h3><p></p></div><div><h3>Was there any specific tasks?</h3><p>other</p></div><div><h3>Was there a specific gap that needed to be filled?</h3><p></p></div><div><h3>Distribution, licences and applications </h3><p>Licence: CC0: Public Domain</p><p>Is public? </p><p>Additional Conditions? </p><p>Past applications: </p><p>Recommended applications: </p><p>Non-recommended: </p></div><div><h3>Keywords</h3><p>Area: <div>datasetArea</div></p><p>Tags:<div>datasetTags </div></p></div><div><h2>Authoring: </h2><div> <h3>Who created the dataset? </h3><table><tr><th>Name</th><th>email</th></tr></table></div><div><h3>Who funded the dataset? </h3><table><tr><th>Name</th><th>type</th><th>Grant</th></tr></table></div><div><h3>Who Maintains the dataset?</h3><table><tr><th>Name</th><th>Email</th></tr></table></div></div></div><h2>Composition:</h2><div> <p>Rationale: </p><p>Total Size: 1143</p><div> <p>Instance: Names</p><p>Description: </p><p>Size: </p><p>Number of attributes: 13</p><p>Type: Record-Data</p><h3>Attributes: </h3><div> <p>Name: fixed_acidity</p><p>Description: Describe the attribute</p><p>Count: 91</p><p>Type: [object Object]</p></div><div> <p>Name: volatile_acidity</p><p>Description: Describe the attribute</p><p>Count: 136</p><p>Type: [object Object]</p></div><div> <p>Name: citric_acid</p><p>Description: Describe the attribute</p><p>Count: 77</p><p>Type: [object Object]</p></div><div> <p>Name: residual_sugar</p><p>Description: Describe the attribute</p><p>Count: 80</p><p>Type: [object Object]</p></div><div> <p>Name: chlorides</p><p>Description: Describe the attribute</p><p>Count: 131</p><p>Type: [object Object]</p></div><div> <p>Name: free_sulfur_dioxide</p><p>Description: Describe the attribute</p><p>Count: 54</p><p>Type: [object Object]</p></div><div> <p>Name: total_sulfur_dioxide</p><p>Description: Describe the attribute</p><p>Count: 138</p><p>Type: [object Object]</p></div><div> <p>Name: density</p><p>Description: Describe the attribute</p><p>Count: 388</p><p>Type: [object Object]</p></div><div> <p>Name: pH</p><p>Description: Describe the attribute</p><p>Count: 88</p><p>Type: [object Object]</p></div><div> <p>Name: sulphates</p><p>Description: Describe the attribute</p><p>Count: 90</p><p>Type: [object Object]</p></div><div> <p>Name: alcohol</p><p>Description: Describe the attribute</p><p>Count: 61</p><p>Type: [object Object]</p></div><div> <p>Name: quality</p><p>Description: Describe the attribute</p><p>Count: 6</p><p>Type: [object Object]</p></div><div> <p>Name: Id</p><p>Description: Describe the attribute</p><p>Count: 1143</p><p>Type: [object Object]</p></div></div></div><h2>Provenance: </h2><p>Curation Rationale: </p><h2>Social Concerns </h2><p>Rationale: </p><div> <p>Issue: issueId</p><p>Issue Type: Privacy</p><p>Description: </p><p>Related Attributes: [object Object]</p></div></body>

examples/Melanoma.descml

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to the global population at large. The dataset is also enriched for melanoma in
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general and does not represent true incidence of melanoma."
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Benchmarking:
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Task: Language-model
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Task: image-classification
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[
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Model: "ModelExample"
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Metrics: [
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F1: 81
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Acurracy: 81
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Precision: 81
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Recall: 81
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]
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Reference: "https://www.kaggle.com/c/siim-isic-melanoma-classification/leaderboard"
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]
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Metrics:
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Acurracy: 23
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Precision: 23
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Recall: 23
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Reference: "https://www.kaggle.com/c/siim-isic-melanoma-classification/leaderboard"
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]
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Distribution:
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Licences: CC BY 3.0 (Attribution 3.0 Unported)
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Licences: CC BY 4.0 (Attribution 4.0 International)
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Rights(stand-alone): Access
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Rights(with models): Benchmark
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Additional Conditions: "In addition to the CC-BY-NC license, the dataset is governed by the ISIC Terms of Use. Learn more about the terms of use here: https://datanutrition.org/labels/isic-2020/ "

examples/Whales-minimal.descml

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Areas: Wildlife
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Tags: Whales satellite detection
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Distribution:
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Licences: CC BY 4.0 (Attribution 4.0 International)
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Credit/Attribution Notice: "https://doi.org/10.5285/C1AFE32C-493C-4DC7-AF9F-649593B97B2C"
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Licences: CC BY 3.0 (Attribution 3.0 Unported)
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Additional Conditions: "To fulfil the End User Licence Agreement with Maxar Technologies18, these image chips are shared in a png format, and access to the dataset is available upon request from the NERC UK Polar Data Centre that can be contacted at [email protected]. Data access requires user name and email address, which will be shared with Maxar Technologies. Anyone using any of the image chips is also required to attribute the images properly (See Usage Notes)."
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Authoring:
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Authors:
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Rationale: "The “Whales from space dataset” is separated in two sub-datasets: a dataset that contains the whale annotations (box and point shapefiles with associated csv files) named “Whales from space dataset: Box and point shapefiles”16; and a dataset with the image chips named “Whales from space dataset: Image chips”17. "
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Data Provenance:
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Curation Rationale: "The “Whales from space dataset” is separated in two sub-datasets: a dataset that contains the whale annotations (box and point shapefiles with associated csv files) named “Whales from space dataset: Box and point shapefiles”16; and a dataset with the image chips named “Whales from space dataset: Image chips”17. "
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Gathering Processes:
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Process: SatellitImages
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Description: "The satellite images were acquired from Maxar Technologies, a satellite imagery company. The images were acquired from various very high-resolution satellites (i.e. WorldView-3, WorldView-2, GeoEye-1 and Quickbird-2) in various regions across the globe (e.g. Argentina, New Zealand, South Africa, United States, Mexico)."
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Source: Maxar_Technologies_satellites
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Description: "Satellite company"
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How data is collected: Sensors
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LabelingProcesses:
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Labeling process: WahlesAnnotation
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Description: "Images were annotated using ArGis 10.4"
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Type: Bounding boxes
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Infrastructure:
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Tool "ArcGis 10.4 ESRI 2017"

examples/Whales.descml

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and scanning one cell after the other at a scale of 1:1,500 m."
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Type: Others
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Preprocess: pansharpened
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Preprocess: Pansharpened
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Description: "Prior to scanning a process of joining the high spatial resolution of the panchromatic image (grey scale image) to the high spectral
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resolution of the multispectral image (colour image) to get one image of high spatial and spectral resolutions. We
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used the ESRI pansharpening algorithm."

examples/evaluation/Melanoma.descml

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Task: Language-model
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[
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Model: "ModelExample"
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Metrics: [
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Metrics:
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F1: 81
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Acurracy: 81
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Precision: 81
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Recall: 81
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]
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Reference: "https://www.kaggle.com/c/siim-isic-melanoma-classification/leaderboard"
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]
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Distribution:

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