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EmidioStani committed Jun 28, 2024
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256 changes: 128 additions & 128 deletions releases/2.0.0/context/mldcat-ap.jsonld
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256 changes: 128 additions & 128 deletions releases/2.0.0/context/mldcat-ap_en.jsonld
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32 changes: 20 additions & 12 deletions releases/2.0.0/html/examples/example-dataset.jsonld
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@@ -1,21 +1,29 @@
{
"@context": "https://semiceu.github.io/MLDCAT-AP/releases/2.0.0/context/mldcat-ap.jsonld",
"@graph": [
"@context": ["https://semiceu.github.io/uri.semic.eu-generated/MLDCAT-AP/releases/2.0.0/context/mldcat-ap.jsonld",
{
"adms" : "http://www.w3.org/ns/adms#",
"it6" : "http://data.europa.eu/it6/",
"odrl" : "http://www.w3.org/ns/odrl/2/",
"spdx" : "http://spdx.org/rdf/terms#",
"xsd" : "http://www.w3.org/2001/XMLSchema#"
}
],
"@graph": [
{
"@id": "http://openml.org/openml/dataset/31",
"@type": "Dataset",
"Dataset.accessRights": "http://publications.europa.eu/resource/authority/access-right/PUBLIC",
"Dataset.collectionDate": {
"@value":"1994-11-17",
"@type": "http://www.w3.org/2001/XMLSchema#date"
"@type": "xsd:date"
},
"Dataset.description": "This dataset classifies people described by a set of attributes as good or bad credit risks",
"Dataset.distribution": "http://openml.org/openml/distribution/31",
"Dataset.datasetDistribution": "http://openml.org/openml/distribution/31",
"Dataset.identifier": "31",
"Dataset.isReferencedBy": "https://dl.acm.org/doi/abs/10.1145/967900.968104",
"Dataset.issued": {
"Dataset.releaseDate": {
"@value": "2014-04-06T23:21:47",
"@type": "http://www.w3.org/2001/XMLSchema#dateTime"
"@type": "xsd:dateTime"
},
"Dataset.keyword": ["credit_scoring","finance_problem", "mythbusting_1", "OpenML-CC18", "OpenML100",
"study_1", "study_123", "study_14", "study_144", "study_15", "study_20",
Expand All @@ -40,12 +48,12 @@
"Distribution.format": "http://sweetontology.net/reprDataFormat/ARFF",
"Distribution.hasFeature": "http://openml.org/openml/feature/31-1",
"Distribution.hasPolicy": "https://archive.ics.uci.edu/ml/citation_policy.html",
"Distribution.hasQuality": "http://openml.org/openml/quality/numberofinstances/1",
"Distribution.hasQualityMeasurement": "http://openml.org/openml/quality/numberofinstances/1",
"Distribution.identifier": "31",
"Distribution.language": "http://publications.europa.eu/resource/authority/language/ENG",
"Distribution.processingDate": {
"@value": "2020-11-20T19:44:53",
"@type": "http://www.w3.org/2001/XMLSchema#dateTime"
"@type": "xsd:dateTime"
}
},
{
Expand All @@ -64,14 +72,14 @@
{
"@id": "http://openml.org/openml/feature/31-1",
"@type": "Feature",
"Feature.name": "class",
"Feature.title": "class",
"Feature.type": "http://openml.org/openml/feature-type#nominal"
},
{
"@id": "http://openml.org/openml/quality/numberofinstances/1",
"@type": "Quality",
"Quality.value": "1000",
"Quality.type": "http://openml.org/openml/qualitytype/numberofinstances"
"@type": "QualityMeasurement",
"QualityMeasurement.value": "1000",
"QualityMeasurement.type": "http://openml.org/openml/qualitytype/numberofinstances"
},
{
"@id": "http://openml.org/openml/agent/1",
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110 changes: 52 additions & 58 deletions releases/2.0.0/html/examples/example-dataset.ttl
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@prefix adms: <http://www.w3.org/ns/adms#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dqv: <http://www.w3.org/ns/dqv#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix it6: <http://data.europa.eu/it6/> .
@prefix odrl: <http://www.w3.org/ns/odrl/2/> .
@prefix oml: <http://openml.org/openml#> .
@prefix owl: <https://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix spdx: <http://spdx.org/rdf/terms#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://openml.org/openml/agent/1>
a foaf:Agent ;
foaf:name "Dr Hans Hofmann"^^rdfs:Literal .
<http://openml.org/openml/dataset/31> dcterms:accessRights <http://publications.europa.eu/resource/authority/access-right/PUBLIC> ;
it6:collectionDate "1994-11-17"^^xsd:date ;
dcterms:description "This dataset classifies people described by a set of attributes as good or bad credit risks" ;
dcat:distribution <http://openml.org/openml/distribution/31> ;
dcterms:identifier "31" ;
dcterms:isReferencedBy <https://dl.acm.org/doi/abs/10.1145/967900.968104> ;
dcterms:issued "2014-04-06T23:21:47"^^xsd:dateTime ;
dcat:keyword "credit_scoring", "finance_problem", "mythbusting_1", "OpenML-CC18", "OpenML100", "study_1", "study_123", "study_14", "study_144", "study_15", "study_20", "study_218", "study_241", "study_34", "study_37", "study_41", "study_50", "study_52", "study_7", "study_70", "study_98", "study_99", "uci" ;
dcat:landingPage <https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)> ;
dcterms:publisher <http://openml.org/openml/agent/2> ;
adms:status <http://openml.org/openml/dataset-status#active> ;
dcterms:title "credit-g" ;
owl:versionInfo "1" ;
it6:versionLabel "1" ;
it6:visibility <http://openml.org/openml/dataset-visibility#public> ;
a dcat:Dataset .

<http://openml.org/openml/agent/2>
a foaf:Agent ;
foaf:name "Jan Van Rijn"^^rdfs:Literal .
<http://openml.org/openml/distribution/31> dcat:accessService <http://openml.org/openml/dataService/1> ;
dcat:accessURL <https://www.openml.org/search?type=data%26status=active%26id=31> ;
spdx:checksum <http://openml.org/openml/checksum/31> ;
it6:defaultTargetAttribute "class" ;
dcat:downloadURL <https://www.openml.org/data/download/31/dataset_31_credit-g.arff> ;
dcterms:format <http://sweetontology.net/reprDataFormat/ARFF> ;
it6:hasFeature <http://openml.org/openml/feature/31-1> ;
odrl:hasPolicy <https://archive.ics.uci.edu/ml/citation_policy.html> ;
dqv:hasQualityMeasurement <http://openml.org/openml/quality/numberofinstances/1> ;
dcterms:identifier "31" ;
dcterms:language <http://publications.europa.eu/resource/authority/language/ENG> ;
it6:processingDate "2020-11-20T19:44:53"^^xsd:dateTime ;
a dcat:Distribution .

<http://openml.org/openml/checksum/31>
spdx:algorithm spdx:checksumAlgorithm_md5 ;
spdx:checksumValue "9a475053fed0c26ee95cd4525e50074c"^^xsd:hexBinary ;
a spdx:Checksum .
<http://openml.org/openml/dataService/1> dcat:endpointURL <https://www.openml.org/apis> ;
dcat:servesDataset <http://openml.org/openml/dataset/31> ;
dcterms:title "REST API for sharing, organizing and reusing machine learning datasets, code, and experiments." ;
a dcat:DataService .

<http://openml.org/openml/dataService/1>
dc:title "REST API for sharing, organizing and reusing machine learning datasets, code, and experiments."^^rdfs:Literal ;
a dcat:DataService ;
dcat:endpointURL <https://www.openml.org/apis> ;
dcat:servesDataset <http://openml.org/openml/dataset/31> .
<http://openml.org/openml/checksum/31> spdx:checksumValue "9a475053fed0c26ee95cd4525e50074c"^^xsd:hexBinary ;
spdx:algorithm spdx:checksumAlgorithm_md5 ;
a spdx:Checksum .

<http://openml.org/openml/dataset/31>
oml:access_policy <http://openml.org/openml/dataset-visibility#public> ;
oml:collectionDate "1994-11-17"^^xsd:date ;
oml:versionLabel "1"^^rdfs:Literal ;
dc:accessRights <http://publications.europa.eu/resource/authority/access-right/PUBLIC> ;
dc:description "This dataset classifies people described by a set of attributes as good or bad credit risks"^^rdfs:Literal ;
dc:identifier "31"^^rdfs:Literal ;
dc:isReferencedBy <https://dl.acm.org/doi/abs/10.1145/967900.968104> ;
dc:issued "2014-04-06T23:21:47"^^xsd:dateTime ;
dc:publisher <http://openml.org/openml/agent/2> ;
dc:title "credit-g"^^rdfs:Literal ;
a dcat:Dataset ;
adms:status <http://openml.org/openml/dataset-status#active> ;
dcat:distribution <http://openml.org/openml/distribution/31> ;
dcat:keyword "OpenML-CC18"^^rdfs:Literal, "OpenML100"^^rdfs:Literal, "credit_scoring"^^rdfs:Literal, "finance_problem"^^rdfs:Literal, "mythbusting_1"^^rdfs:Literal, "study_1"^^rdfs:Literal, "study_123"^^rdfs:Literal, "study_14"^^rdfs:Literal, "study_144"^^rdfs:Literal, "study_15"^^rdfs:Literal, "study_20"^^rdfs:Literal, "study_218"^^rdfs:Literal, "study_241"^^rdfs:Literal, "study_34"^^rdfs:Literal, "study_37"^^rdfs:Literal, "study_41"^^rdfs:Literal, "study_50"^^rdfs:Literal, "study_52"^^rdfs:Literal, "study_7"^^rdfs:Literal, "study_70"^^rdfs:Literal, "study_98"^^rdfs:Literal, "study_99"^^rdfs:Literal, "uci"^^rdfs:Literal ;
dcat:landingPage <https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)> ;
owl:versionInfo "1"^^rdfs:Literal .
<http://openml.org/openml/feature/31-1> dcterms:title "class" ;
dcterms:type <http://openml.org/openml/feature-type#nominal> ;
a it6:Feature .

<http://openml.org/openml/distribution/31>
oml:defaultTargetAttribute "class"^^rdfs:Literal ;
oml:hasFeature <http://openml.org/openml/feature/31-1> ;
oml:hasQuality <http://openml.org/openml/quality/numberofinstances/1> ;
oml:processingDate "2020-11-20T19:44:53"^^xsd:dateTime ;
dc:format <http://sweetontology.net/reprDataFormat/ARFF> ;
dc:identifier "31"^^rdfs:Literal ;
dc:language <http://publications.europa.eu/resource/authority/language/ENG> ;
spdx:checksum <http://openml.org/openml/checksum/31> ;
a dcat:Distribution ;
dcat:accessService <http://openml.org/openml/dataService/1> ;
dcat:accessURL <https://www.openml.org/search?type=data%26status=active%26id=31> ;
dcat:downloadURL <https://www.openml.org/data/download/31/dataset_31_credit-g.arff> ;
odrl:hasPolicy <https://archive.ics.uci.edu/ml/citation_policy.html> .
<http://openml.org/openml/quality/numberofinstances/1> dqv:value "1000" ;
dcterms:type <http://openml.org/openml/qualitytype/numberofinstances> ;
a dqv:QualityMeasurement .

<http://openml.org/openml/feature/31-1>
dc:title "class"^^rdfs:Literal ;
dc:type <http://openml.org/openml/feature-type#nominal> ;
a oml:Feature .
<http://openml.org/openml/agent/1> foaf:name "Dr Hans Hofmann" ;
a foaf:Agent .

<http://openml.org/openml/agent/2> foaf:name "Jan Van Rijn" ;
a foaf:Agent .

<http://openml.org/openml/quality/numberofinstances/1>
oml:value "1000"^^rdfs:Literal ;
dc:type <http://openml.org/openml/qualitytype/numberofinstances> ;
a oml:Quality .
9 changes: 4 additions & 5 deletions releases/2.0.0/html/examples/example-machinelearningmodel.jsonld
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@@ -1,10 +1,9 @@
{
"@context": [
"https://semiceu.github.io/MLDCAT-AP/releases/2.0.0/context/mldcat-ap.jsonld",
"https://semiceu.github.io/uri.semic.eu-generated/MLDCAT-AP/releases/2.0.0/context/mldcat-ap.jsonld",
{
"biro" : "http://purl.org/spar/biro/",
"cv" : "http://data.europa.eu/m8g/",
"openml" : "http://openml.org/openml#",
"it6" : "http://data.europa.eu/it6/",
"lpwc" : "https://linkedpaperswithcode.com/class/",
"spdx" : "http://spdx.org/rdf/terms#",
"xsd" : "http://www.w3.org/2001/XMLSchema#",
Expand Down Expand Up @@ -33,7 +32,7 @@
"@id" : "https://huggingface.co/bigscience/bloomz-7b1/blob/main/model.safetensors",
"@type": "OutputFilePrediction",
"OutputFilePrediction.format": "http://example.com/format/safetensors",
"OutputFilePrediction.identifier" : "bloomz-7b1.safetensors",
"OutputFilePrediction.id" : "bloomz-7b1.safetensors",
"OutputFilePrediction.title" : "bloomz-7b1 safetensors format",
"OutputFilePrediction.url" : "https://huggingface.co/bigscience/bloomz-7b1/resolve/main/model.safetensors",
"OutputFilePrediction.checksum" : "http://example.com/Checksum/1"
Expand All @@ -48,7 +47,7 @@
"@id" : "https://huggingface.co/bigscience/bloomz-7b1/blob/main/pytorch_model.bin",
"@type": "OutputFilePrediction",
"OutputFilePrediction.format": "http://example.com/format/pytorch",
"OutputFilePrediction.identifier" : "bloomz-7b1-pytorch",
"OutputFilePrediction.id" : "bloomz-7b1-pytorch",
"OutputFilePrediction.title" : "bloomz-7b1 pytorch format",
"OutputFilePrediction.url" : "https://huggingface.co/bigscience/bloomz-7b1/resolve/main/pytorch_model.bin",
"OutputFilePrediction.checksum" : "http://example.com/Checksum/2"
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35 changes: 18 additions & 17 deletions releases/2.0.0/html/examples/example-machinelearningmodel.ttl
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@prefix biro: <http://purl.org/spar/biro/> .
@prefix cv: <http://data.europa.eu/m8g/> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix openml: <http://openml.org/openml#> .
@prefix it6: <http://data.europa.eu/it6/> .
@prefix lpwc: <https://linkedpaperswithcode.com/class/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix spdx: <http://spdx.org/rdf/terms#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://huggingface.co/bigscience/bloomz-7b1> dcterms:created "2024-02-22T09:05:04"^^xsd:dateTime ;
openml:hasOutputFilePrediction <https://huggingface.co/bigscience/bloomz-7b1/blob/main/model.safetensors>, <https://huggingface.co/bigscience/bloomz-7b1/blob/main/pytorch_model.bin> ;
cv:hasRepository <https://huggingface.co/bigscience/bloomz-7b1/tree/main> ;
cv:hasBibliographicReference <http://example.com/BibliographicReference/1> ;
openml:hasUploader <https://huggingface.co/Muennighoff> ;
openml:intendedUse """We recommend using the model to perform tasks expressed in natural language. For example, given the prompt "Translate to English: Je t’aime.", the model will most likely answer "I love you.". Some prompt ideas from our paper:
it6:hasOutputFilePrediction <https://huggingface.co/bigscience/bloomz-7b1/blob/main/model.safetensors>, <https://huggingface.co/bigscience/bloomz-7b1/blob/main/pytorch_model.bin> ;
it6:hasRepository <https://huggingface.co/bigscience/bloomz-7b1/tree/main> ;
it6:hasBibliographicReference <http://example.com/BibliographicReference/1> ;
it6:hasUploader <https://huggingface.co/Muennighoff> ;
it6:intendedUse """We recommend using the model to perform tasks expressed in natural language. For example, given the prompt "Translate to English: Je t’aime.", the model will most likely answer "I love you.". Some prompt ideas from our paper:
一个传奇的开端，一个不灭的神话，这不仅仅是一部电影，而是作为一个走进新时代的标签，永远彪炳史册。你认为这句话的立场是赞扬、中立还是批评?
Suggest at least five related search terms to "Mạng neural nhân tạo".
Write a fairy tale about a troll saving a princess from a dangerous dragon. The fairy tale is a masterpiece that has achieved praise worldwide and its moral is "Heroes Come in All Shapes and Sizes". Story (in Spanish):
Explain in a sentence in Telugu what is backpropagation in neural networks.
Feel free to share your generations in the Community tab!""" ;
dcterms:license <https://huggingface.co/spaces/bigscience/license> ;
openml:limitations "Prompt Engineering: The performance may vary depending on the prompt. For BLOOMZ models, we recommend making it very clear when the input stops to avoid the model trying to continue it. For example, the prompt \"Translate to English: Je t'aime\" without the full stop (.) at the end, may result in the model trying to continue the French sentence. Better prompts are e.g. \"Translate to English: Je t'aime.\", \"Translate to English: Je t'aime. Translation:\" \"What is \"Je t'aime.\" in English?\", where it is clear for the model when it should answer. Further, we recommend providing the model as much context as possible. For example, if you want it to answer in Telugu, then tell the model, e.g. \"Explain in a sentence in Telugu what is backpropagation in neural networks.\"." ;
it6:limitations "Prompt Engineering: The performance may vary depending on the prompt. For BLOOMZ models, we recommend making it very clear when the input stops to avoid the model trying to continue it. For example, the prompt \"Translate to English: Je t'aime\" without the full stop (.) at the end, may result in the model trying to continue the French sentence. Better prompts are e.g. \"Translate to English: Je t'aime.\", \"Translate to English: Je t'aime. Translation:\" \"What is \"Je t'aime.\" in English?\", where it is clear for the model when it should answer. Further, we recommend providing the model as much context as possible. For example, if you want it to answer in Telugu, then tell the model, e.g. \"Explain in a sentence in Telugu what is backpropagation in neural networks.\"." ;
dcterms:title "bloomz-7b1" ;
cv:trainedOn <https://huggingface.co/datasets/bigscience/xP3>, <https://huggingface.co/datasets/bigscience/xP3all> ;
openml:version "1.0.0" ;
a cv:MachineLearningModel .
it6:trainedOn <https://huggingface.co/datasets/bigscience/xP3>, <https://huggingface.co/datasets/bigscience/xP3all> ;
it6:version "1.0.0" ;
a it6:MachineLearningModel .

<https://huggingface.co/bigscience/bloomz-7b1/blob/main/model.safetensors> dcterms:format <http://example.com/format/safetensors> ;
dcterms:identifier "bloomz-7b1.safetensors" ;
dcterms:title "bloomz-7b1 safetensors format" ;
openml:url <https://huggingface.co/bigscience/bloomz-7b1/resolve/main/model.safetensors> ;
it6:url <https://huggingface.co/bigscience/bloomz-7b1/resolve/main/model.safetensors> ;
spdx:checksum <http://example.com/Checksum/1> ;
a openml:OutputFilePrediction .
a it6:OutputFilePrediction .

<http://example.com/Checksum/1> spdx:checksumValue "4e1e2bdcc97ec356cc92130d3802c81a324e9840b0ed417a9342ea728aa1d369"^^xsd:hexBinary ;
spdx:algorithm spdx:checksumAlgorithm_sha256 ;
a spdx:Checksum .

<https://huggingface.co/bigscience/bloomz-7b1/blob/main/pytorch_model.bin> dcterms:format <http://example.com/format/pytorch> ;
dcterms:identifier "bloomz-7b1-pytorch" ;
dcterms:title "bloomz-7b1 pytorch format" ;
openml:url <https://huggingface.co/bigscience/bloomz-7b1/resolve/main/pytorch_model.bin> ;
it6:url <https://huggingface.co/bigscience/bloomz-7b1/resolve/main/pytorch_model.bin> ;
spdx:checksum <http://example.com/Checksum/2> ;
a openml:OutputFilePrediction .
a it6:OutputFilePrediction .

<http://example.com/Checksum/2> spdx:checksumValue "d1f5d9fc449dd5fbe045f62c609e2b70f63d2e63faf74d7e0adb895dc294f28e"^^xsd:hexBinary ;
spdx:algorithm spdx:checksumAlgorithm_sha256 ;
a spdx:Checksum .

<https://huggingface.co/bigscience/bloomz-7b1/tree/main> cv:hasFile <https://huggingface.co/bigscience/bloomz-7b1/blob/main/model.safetensors>, <https://huggingface.co/bigscience/bloomz-7b1/blob/main/pytorch_model.bin> ;
<https://huggingface.co/bigscience/bloomz-7b1/tree/main> it6:hasFile <https://huggingface.co/bigscience/bloomz-7b1/blob/main/model.safetensors>, <https://huggingface.co/bigscience/bloomz-7b1/blob/main/pytorch_model.bin> ;
a lpwc:repository .

<http://example.com/BibliographicReference/1> dcterms:bibliographicCitation """@article{muennighoff2022crosslingual,
Expand All @@ -59,7 +60,7 @@ year={2022}}""" ;
a biro:BibliographicReference .

<https://arxiv.org/abs/2211.01786> dcterms:date "2023-05-29"^^xsd:date ;
cv:hasDocument <https://arxiv.org/pdf/2211.01786> ;
it6:hasDocument <https://arxiv.org/pdf/2211.01786> ;
dcterms:title "Crosslingual Generalization through Multitask Finetuning" ;
a lpwc:paper .

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