SPARQL-to-Text
Collection
Models and datasets to convert SPARQL queries to natural language questions. • 7 items • Updated
Datasets:
category string | size int32 | id string | eid string | original_triple_sets list | modified_triple_sets list | shape string | shape_type string | lex sequence | test_category string | dbpedia_links sequence | links sequence | graph list | main_entity string | mappings list | dialogue list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Food | 3 | 7367 | Id280 | [
{
"subject": "Italy",
"property": "capital",
"object": "Rome"
},
{
"subject": "Italy",
"property": "leader",
"object": "Matteo_Renzi"
},
{
"subject": "Amatriciana_sauce",
"property": "country",
"object": "Italy"
}
] | [
{
"subject": "Italy",
"property": "capital",
"object": "Rome"
},
{
"subject": "Italy",
"property": "leader",
"object": "Matteo_Renzi"
},
{
"subject": "Amatriciana_sauce",
"property": "country",
"object": "Italy"
}
] | (X (X (X) (X))) | mixed | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Rome is the capital of Italy, where Matteo Renzi is a leader, and where Amatriciana sauce can be found.",
"Amatriciana sauce comes from Italy, a country led by Matteo Renzi and whose capital is Rome."
],
"lang": [... | [] | [] | [
[
"resource:Amatriciana_sauce",
"rdf:type",
"ontology:food"
],
[
"resource:Amatriciana_sauce",
"property:country",
"resource:Italy"
],
[
"resource:Italy",
"property:leader",
"resource:Matteo_Renzi"
],
[
"resource:Italy",
"property:capital",
"resource:Rome"... | Amatriciana_sauce | [
{
"modified": "capital",
"readable": "capital",
"graph": "property:capital"
},
{
"modified": "country",
"readable": "country",
"graph": "property:country"
},
{
"modified": "leader",
"readable": "leader",
"graph": "property:leader"
},
{
"modified": "Amatriciana_sau... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ?s WHERE { ?s rdf:type ontology:food . ?o property:capital resource:Rome . ?s property:country ?o }",
"readable_query": "SELECT DISTINCT ?s WHERE { ?s rdf:type ontology:food . ?o property:capital resource:Rome . ?s property:country ?o }",
"graph_answ... | |
Airport | 4 | 8404 | Id2 | [
{
"subject": "Aarhus_Airport",
"property": "location",
"object": "Tirstrup"
},
{
"subject": "Tirstrup",
"property": "country",
"object": "Denmark"
},
{
"subject": "Denmark",
"property": "demonym",
"object": "Danes"
},
{
"subject": "Tirstrup",
"property": "subd... | [
{
"subject": "Aarhus_Airport",
"property": "location",
"object": "Tirstrup"
},
{
"subject": "Tirstrup",
"property": "country",
"object": "Denmark"
},
{
"subject": "Denmark",
"property": "demonym",
"object": "Danes"
},
{
"subject": "Tirstrup",
"property": "isPa... | (X (X (X) (X (X)))) | mixed | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Aarhus airport is located in Tirstrup which is part of the Central Denmark region. The demonym for the people of Denmark is Danes.",
"The location of Aarhus Airport is Tirstrup in Denmark. Tirst... | [] | [] | [
[
"resource:Tirstrup",
"property:country",
"resource:Denmark"
],
[
"resource:Tirstrup",
"property:is_part_of",
"resource:Central_Denmark_Region"
],
[
"resource:Denmark",
"property:demonym",
"resource:Danes"
],
[
"resource:Aarhus_Airport",
"rdf:type",
"onto... | Aarhus_Airport | [
{
"modified": "country",
"readable": "country",
"graph": "property:country"
},
{
"modified": "demonym",
"readable": "demonym",
"graph": "property:demonym"
},
{
"modified": "isPartOf",
"readable": "is part of",
"graph": "property:is_part_of"
},
{
"modified": "locat... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ?b ?u WHERE { ?u property:is_part_of resource:Central_Denmark_Region . ?b property:location ?u . ?b rdf:type ontology:airport }",
"readable_query": "SELECT DISTINCT ?b ?u WHERE { ?u property:is_part_of resource:Central_Denmark_Region . ?b property:locati... | |
Food | 4 | 9953 | Id242 | [
{
"subject": "Binignit",
"property": "mainIngredient",
"object": "Sweet_potato"
},
{
"subject": "Sweet_potato",
"property": "division",
"object": "Flowering_plant"
},
{
"subject": "Binignit",
"property": "ingredient",
"object": "Taro"
},
{
"subject": "Sweet_potato... | [
{
"subject": "Binignit",
"property": "mainIngredient",
"object": "Sweet_potato"
},
{
"subject": "Sweet_potato",
"property": "division",
"object": "Flowering_plant"
},
{
"subject": "Binignit",
"property": "ingredient",
"object": "Taro"
},
{
"subject": "Sweet_potato... | (X (X) (X (X) (X))) | mixed | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Binignit includes the ingredients sweet potato (a flowering plant of the order Solanales) and taro.",
"Binignit's main ingredients are sweet potatoes which belongs to flowering plants and the Solanales order. The dish... | [] | [] | [
[
"resource:Sweet_potato",
"property:division",
"resource:Flowering_plant"
],
[
"resource:Sweet_potato",
"property:order",
"resource:Solanales"
],
[
"resource:Binignit",
"property:ingredient",
"resource:Taro"
],
[
"resource:Binignit",
"property:main_ingredient... | Binignit | [
{
"modified": "division",
"readable": "division",
"graph": "property:division"
},
{
"modified": "ingredient",
"readable": "ingredient",
"graph": "property:ingredient"
},
{
"modified": "mainIngredient",
"readable": "main ingredient",
"graph": "property:main_ingredient"
}... | [
{
"question": [],
"graph_query": "ASK WHERE { resource:Binignit property:main_ingredient resource:Sweet_potato }",
"readable_query": "ASK WHERE { resource:Binignit property:main_ingredient resource:Sweet_potato }",
"graph_answer": [
"True"
],
"readable_answer": [
"True"
],
... | |
Artist | 2 | 3557 | Id169 | [
{
"subject": "Allen_Forrest",
"property": "genre",
"object": "Rhythm_and_blues"
},
{
"subject": "Rhythm_and_blues",
"property": "stylisticOrigins",
"object": "Blues"
}
] | [
{
"subject": "Allen_Forrest",
"property": "genre",
"object": "Rhythm_and_blues"
},
{
"subject": "Rhythm_and_blues",
"property": "stylisticOrigin",
"object": "Blues"
}
] | (X (X (X))) | chain | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Allen Forrest performs rhythm and blues music, a genre that originated from blues music.",
"Allen Forrest lays Rhythm and Blues which originated from blues music.",
"Allen Forrest plays Rhyt... | [] | [] | [
[
"resource:Rhythm_and_blues",
"property:stylistic_origin",
"resource:Blues"
],
[
"resource:Allen_Forrest",
"rdf:type",
"ontology:artist"
],
[
"resource:Allen_Forrest",
"property:genre",
"resource:Rhythm_and_blues"
]
] | Allen_Forrest | [
{
"modified": "genre",
"readable": "genre",
"graph": "property:genre"
},
{
"modified": "stylisticOrigin",
"readable": "stylistic origin",
"graph": "property:stylistic_origin"
},
{
"modified": "Allen_Forrest",
"readable": "Allen Forrest",
"graph": "resource:Allen_Forrest"
... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ?b WHERE { resource:Allen_Forrest property:genre ?b }",
"readable_query": "SELECT DISTINCT ?b WHERE { resource:Allen_Forrest property:genre ?b }",
"graph_answer": [
"resource:Rhythm_and_blues"
],
"readable_answer": [
"Rhythm and b... | |
Politician | 5 | 12501 | Id20 | [
{
"subject": "Abdul_Taib_Mahmud",
"property": "successor",
"object": "Adenan_Satem"
},
{
"subject": "Abdul_Taib_Mahmud",
"property": "party",
"object": "Parti_Pesaka_Bumiputera_Bersatu"
},
{
"subject": "Abdul_Taib_Mahmud",
"property": "residence",
"object": "Kuching"
},... | [
{
"subject": "Abdul_Taib_Mahmud",
"property": "successor",
"object": "Adenan_Satem"
},
{
"subject": "Abdul_Taib_Mahmud",
"property": "party",
"object": "Parti_Pesaka_Bumiputera_Bersatu"
},
{
"subject": "Abdul_Taib_Mahmud",
"property": "residence",
"object": "Kuching"
},... | (X (X) (X) (X) (X (X))) | mixed | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Succeeded by Adenan Satem, Abdul Taib Mahmud, was born in Miri, Malaysia and resides in Kuching. His alma mater is the University of Adelaide and his party is the Parti Pesaka Bumiputera Bersatu.",
... | [] | [] | [
[
"resource:Adenan_Satem",
"property:alma_mater",
"resource:University_of_Adelaide"
],
[
"resource:Abdul_Taib_Mahmud",
"property:party",
"resource:Parti_Pesaka_Bumiputera_Bersatu"
],
[
"resource:Abdul_Taib_Mahmud",
"rdf:type",
"ontology:politician"
],
[
"resource:... | Abdul_Taib_Mahmud | [
{
"modified": "almaMater",
"readable": "alma mater",
"graph": "property:alma_mater"
},
{
"modified": "birthPlace",
"readable": "birth place",
"graph": "property:birth_place"
},
{
"modified": "party",
"readable": "party",
"graph": "property:party"
},
{
"modified": ... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ?l WHERE { resource:Adenan_Satem property:alma_mater ?l }",
"readable_query": "SELECT DISTINCT ?l WHERE { resource:Adenan_Satem property:alma_mater ?l }",
"graph_answer": [
"resource:University_of_Adelaide"
],
"readable_answer": [
... | |
Food | 2 | 4691 | Id203 | [
{
"subject": "Bhajji",
"property": "alias",
"object": "\"Bhaji, bajji\"@en"
},
{
"subject": "Bhajji",
"property": "ingredient",
"object": "Gram_flour"
}
] | [
{
"subject": "Bhajji",
"property": "alternativeName",
"object": "\"Bhaji, bajji\""
},
{
"subject": "Bhajji",
"property": "ingredient",
"object": "Gram_flour"
}
] | (X (X) (X)) | sibling | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Bhajji is also known as Bhaji or bajji and contains gram flour.",
"Bhaji or bajji is made with gram flour. Bhajji is another name of that dish.",
"Bhaji and bajji are alternative names for B... | [] | [] | [
[
"resource:Bhajji",
"property:ingredient",
"resource:Gram_flour"
],
[
"resource:Bhajji",
"rdf:type",
"ontology:food"
],
[
"resource:Bhajji",
"property:alternative_name",
"resource:Bhaji__bajji"
]
] | Bhajji | [
{
"modified": "alternativeName",
"readable": "alternative name",
"graph": "property:alternative_name"
},
{
"modified": "ingredient",
"readable": "ingredient",
"graph": "property:ingredient"
},
{
"modified": "Bhaji, bajji",
"readable": "Bhaji, bajji",
"graph": "resource:Bh... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ?x WHERE { ?x rdf:type ontology:food . ?x property:alternative_name resource:Bhaji__bajji . FILTER ( STRSTARTS ( LCASE ( ?x ) , 'b' ) ) . ?x property:ingredient resource:Gram_flour }",
"readable_query": "SELECT DISTINCT ?x WHERE { ?x rdf:type ontology:fo... | |
City | 4 | 9589 | Id188 | [
{
"subject": "United_States",
"property": "ethnicGroup",
"object": "African_Americans"
},
{
"subject": "Albuquerque,_New_Mexico",
"property": "leaderTitle",
"object": "New_Mexico_Senate"
},
{
"subject": "United_States",
"property": "leader",
"object": "Barack_Obama"
},
... | [
{
"subject": "United_States",
"property": "ethnicGroup",
"object": "African_Americans"
},
{
"subject": "Albuquerque,_New_Mexico",
"property": "leaderTitle",
"object": "New_Mexico_Senate"
},
{
"subject": "United_States",
"property": "leader",
"object": "Barack_Obama"
},
... | (X (X) (X (X) (X))) | mixed | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Led by the New Mexico Senate, Albuquerque, New Mexico, is in the United States. The country where Barack Obama is the leader and African Americans are one of the ethnic groups.",
"The New Mexico... | [] | [] | [
[
"resource:Albuquerque__New_Mexico",
"property:leader_title",
"resource:New_Mexico_Senate"
],
[
"resource:Albuquerque__New_Mexico",
"rdf:type",
"ontology:city"
],
[
"resource:Albuquerque__New_Mexico",
"property:country",
"resource:United_States"
],
[
"resource:Un... | Albuquerque,_New_Mexico | [
{
"modified": "country",
"readable": "country",
"graph": "property:country"
},
{
"modified": "ethnicGroup",
"readable": "ethnic group",
"graph": "property:ethnic_group"
},
{
"modified": "leader",
"readable": "leader",
"graph": "property:leader"
},
{
"modified": "l... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ( COUNT ( ?w ) AS ?n ) WHERE { ?x rdf:type ontology:city . ?x property:country ?w . ?x property:leader_title resource:New_Mexico_Senate . ?w property:ethnic_group resource:African_Americans }",
"readable_query": "SELECT DISTINCT ( COUNT ( ?w ) AS ?n ) WH... | |
Company | 4 | 9670 | Id16 | [
{
"subject": "Chinabank",
"property": "location",
"object": "Philippines"
},
{
"subject": "Philippines",
"property": "leader",
"object": "Leni_Robredo"
},
{
"subject": "Philippines",
"property": "leader",
"object": "Maria_Lourdes_Sereno"
},
{
"subject": "Chinabank... | [
{
"subject": "Chinabank",
"property": "location",
"object": "Philippines"
},
{
"subject": "Philippines",
"property": "leader",
"object": "Leni_Robredo"
},
{
"subject": "Philippines",
"property": "leader",
"object": "Maria_Lourdes_Sereno"
},
{
"subject": "Chinabank... | (X (X) (X (X) (X))) | mixed | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Chinabank is located in the Philippines and was founded on the 16th of August, 1920, the leaders are Leni Robredo and Maria Lourdes Sereno.",
"Chinabank was founded on 1920-08-16 in the Philippi... | [] | [] | [
[
"resource:Chinabank",
"property:founding_date",
"resource:1920_08_16"
],
[
"resource:Chinabank",
"rdf:type",
"ontology:company"
],
[
"resource:Chinabank",
"property:location",
"resource:Philippines"
],
[
"resource:Philippines",
"property:leader",
"resour... | Chinabank | [
{
"modified": "foundingDate",
"readable": "founding date",
"graph": "property:founding_date"
},
{
"modified": "leader",
"readable": "leader",
"graph": "property:leader"
},
{
"modified": "location",
"readable": "location",
"graph": "property:location"
},
{
"modifie... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ?e WHERE { FILTER ( ?u = \"1920_08_16\" ) . ?a property:founding_date ?u . ?a rdf:type ontology:company . ?a property:location ?e }",
"readable_query": "SELECT DISTINCT ?e WHERE { FILTER ( ?u = \"1920-08-16\" ) . ?a property:founding_date ?u . ?a rdf:typ... | |
WrittenWork | 3 | 8275 | Id121 | [
{
"subject": "Above_the_Veil",
"property": "author",
"object": "Garth_Nix"
},
{
"subject": "Above_the_Veil",
"property": "isbn",
"object": "\"0-439-17685-9\""
},
{
"subject": "Above_the_Veil",
"property": "mediaType",
"object": "Hardcover"
}
] | [
{
"subject": "Above_the_Veil",
"property": "author",
"object": "Garth_Nix"
},
{
"subject": "Above_the_Veil",
"property": "isbnNumber",
"object": "\"0-439-17685-9\""
},
{
"subject": "Above_the_Veil",
"property": "mediaType",
"object": "Hardcover"
}
] | (X (X) (X) (X)) | sibling | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Above the Veil (ISBN number 0-439-17685-9) is written by Garth Nix and is available in hardcover.",
"Above the Veil, written by Garth Nix is available in hardcover and has the ISBN number 0-439-... | [] | [] | [
[
"resource:Above_the_Veil",
"property:media_type",
"resource:Hardcover"
],
[
"resource:Above_the_Veil",
"property:author",
"resource:Garth_Nix"
],
[
"resource:Above_the_Veil",
"rdf:type",
"ontology:written_work"
],
[
"resource:Above_the_Veil",
"property:isbn_... | Above_the_Veil | [
{
"modified": "author",
"readable": "author",
"graph": "property:author"
},
{
"modified": "isbnNumber",
"readable": "isbn number",
"graph": "property:isbn_number"
},
{
"modified": "mediaType",
"readable": "media type",
"graph": "property:media_type"
},
{
"modified... | [
{
"question": [],
"graph_query": "ASK WHERE { ?t property:isbn_number resource:0_439_92550_9 . ?t rdf:type ontology:written_work }",
"readable_query": "ASK WHERE { ?t property:isbn_number resource:0-439-92550-9 . ?t rdf:type ontology:written_work }",
"graph_answer": [
"False"
],
"reada... | |
Food | 3 | 7160 | Id73 | [
{
"subject": "Asam_pedas",
"property": "mainIngredient",
"object": "\"Fish cooked in sour and hot sauce\"@en"
},
{
"subject": "Asam_pedas",
"property": "region",
"object": "Sumatra"
},
{
"subject": "Asam_pedas",
"property": "country",
"object": "\"Indonesia and Malaysia\"... | [
{
"subject": "Asam_pedas",
"property": "region",
"object": "Sumatra"
},
{
"subject": "Asam_pedas",
"property": "mainIngredient",
"object": "\"Fish cooked in sour and hot sauce\""
},
{
"subject": "Asam_pedas",
"property": "country",
"object": "\"Indonesia and Malaysia\""
... | (X (X) (X) (X)) | sibling | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"A dish from Sumatra, Malaysia and Indonesia called asam pedas is fish cooked in a sour and hot sauce.",
"Asam pedas is from Indonesia, Malaysia and Sumatra and mainly consists of fish cooked in ... | [] | [] | [
[
"resource:Asam_pedas",
"property:main_ingredient",
"Fish cooked in sour and hot sauce"
],
[
"resource:Asam_pedas",
"rdf:type",
"ontology:food"
],
[
"resource:Asam_pedas",
"property:country",
"resource:Indonesia_and_Malaysia"
],
[
"resource:Asam_pedas",
"prop... | Asam_pedas | [
{
"modified": "Fish cooked in sour and hot sauce",
"readable": "Fish cooked in sour and hot sauce",
"graph": "Fish cooked in sour and hot sauce"
},
{
"modified": "country",
"readable": "country",
"graph": "property:country"
},
{
"modified": "mainIngredient",
"readable": "main... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ?s WHERE { resource:Asam_pedas property:region ?s }",
"readable_query": "SELECT DISTINCT ?s WHERE { resource:Asam_pedas property:region ?s }",
"graph_answer": [
"resource:Sumatra"
],
"readable_answer": [
"Sumatra"
],
"type... | |
Politician | 5 | 12490 | Id9 | [
{
"subject": "Abdul_Taib_Mahmud",
"property": "party",
"object": "Parti_Pesaka_Bumiputera_Bersatu"
},
{
"subject": "Abdul_Taib_Mahmud",
"property": "region",
"object": "Asajaya"
},
{
"subject": "Abdul_Taib_Mahmud",
"property": "birthPlace",
"object": "Miri,_Malaysia"
},... | [
{
"subject": "Abdul_Taib_Mahmud",
"property": "party",
"object": "Parti_Pesaka_Bumiputera_Bersatu"
},
{
"subject": "Abdul_Taib_Mahmud",
"property": "region",
"object": "Asajaya"
},
{
"subject": "Abdul_Taib_Mahmud",
"property": "birthPlace",
"object": "Miri,_Malaysia"
},... | (X (X) (X) (X) (X) (X)) | sibling | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Miri, Malaysia, is the birthplace of Abdul Taib Mahmud, whose date of birth is 1936-05-21. Abdul Taib Mahmud represented Asajaya and resides in Demak Jaya, Jalan Bako, Kuching, Sarawak. Abdul Taib M... | [] | [] | [
[
"resource:Abdul_Taib_Mahmud",
"property:party",
"resource:Parti_Pesaka_Bumiputera_Bersatu"
],
[
"resource:Abdul_Taib_Mahmud",
"rdf:type",
"ontology:politician"
],
[
"resource:Abdul_Taib_Mahmud",
"property:birth_date",
"resource:1936_05_21"
],
[
"resource:Abdul_T... | Abdul_Taib_Mahmud | [
{
"modified": "birthDate",
"readable": "birth date",
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University | 6 | 12974 | Id3 | [
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Airport | 4 | 8426 | Id24 | [
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Company | 6 | 12935 | Id15 | [
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Astronaut | 6 | 12920 | Id90 | [
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City | 5 | 11786 | Id7 | [
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City | 4 | 9404 | Id3 | [
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Food | 4 | 9805 | Id94 | [
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WrittenWork | 2 | 5620 | Id155 | [
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Athlete | 3 | 6226 | Id62 | [
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Airport | 2 | 3339 | Id144 | [
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University | 4 | 10768 | Id60 | [
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Athlete | 2 | 3712 | Id52 | [
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Athlete | 2 | 3673 | Id13 | [
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Astronaut | 6 | 12873 | Id43 | [
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Politician | 2 | 5196 | Id188 | [
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ComicsCharacter | 4 | 9627 | Id8 | [
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Airport | 5 | 10989 | Id38 | [
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CelestialBody | 4 | 9353 | Id70 | [
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"modified": "560937000.0 (kilometres)",
"readable": "560937000.0",
"graph": "560937000.0 (kilometres)"
},
{
"modified": "apoapsis",
"readable": "apoapsis",
"graph... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ?h WHERE { ?o property:epoch ?b . ?o rdf:type ontology:celestial_body . ?o property:discoverer ?h . FILTER ( ?b = \"2006_12_31\" ) }",
"readable_query": "SELECT DISTINCT ?h WHERE { ?o property:epoch ?b . ?o rdf:type ontology:celestial_body . ?o property:... | |
Food | 3 | 7128 | Id41 | [
{
"subject": "Arròs_negre",
"property": "country",
"object": "Spain"
},
{
"subject": "Arròs_negre",
"property": "region",
"object": "Catalonia"
},
{
"subject": "Arròs_negre",
"property": "ingredient",
"object": "Cephalopod_ink"
}
] | [
{
"subject": "Arròs_negre",
"property": "country",
"object": "Spain"
},
{
"subject": "Arròs_negre",
"property": "region",
"object": "Catalonia"
},
{
"subject": "Arròs_negre",
"property": "ingredient",
"object": "Cephalopod_ink"
}
] | (X (X) (X) (X)) | sibling | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Cephalopod ink is an ingredient in Arròs negre. A dish which is from the Catalonia region, in Spain.",
"Arròs negre is from the Catalonia region of spain, it includes Cephalopod ink.",
"Arro... | [] | [] | [
[
"resource:Arr_s_negre",
"property:ingredient",
"resource:Cephalopod_ink"
],
[
"resource:Arr_s_negre",
"rdf:type",
"ontology:food"
],
[
"resource:Arr_s_negre",
"property:country",
"resource:Spain"
],
[
"resource:Arr_s_negre",
"property:region",
"resource:... | Arròs_negre | [
{
"modified": "country",
"readable": "country",
"graph": "property:country"
},
{
"modified": "ingredient",
"readable": "ingredient",
"graph": "property:ingredient"
},
{
"modified": "region",
"readable": "region",
"graph": "property:region"
},
{
"modified": "Arròs_... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ( COUNT ( ?h ) AS ?l ) WHERE { ?o property:ingredient ?h . ?o property:region resource:Catalonia . ?o rdf:type ontology:food }",
"readable_query": "SELECT DISTINCT ( COUNT ( ?h ) AS ?l ) WHERE { ?o property:ingredient ?h . ?o property:region resource:Cat... | |
ComicsCharacter | 3 | 6967 | Id20 | [
{
"subject": "Bananaman",
"property": "network",
"object": "BBC"
},
{
"subject": "BBC",
"property": "locationCity",
"object": "Broadcasting_House"
},
{
"subject": "BBC",
"property": "foundedBy",
"object": "John_Reith,_1st_Baron_Reith"
}
] | [
{
"subject": "Bananaman",
"property": "broadcastedBy",
"object": "BBC"
},
{
"subject": "BBC",
"property": "city",
"object": "Broadcasting_House"
},
{
"subject": "BBC",
"property": "foundedBy",
"object": "John_Reith,_1st_Baron_Reith"
}
] | (X (X (X) (X))) | mixed | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Bananaman the TV series was shown on the BBC which was founded by John Reith, 1st Baron Reith and is located in the Broadcasting House in London.",
"1st Baron, John Reith was the founder of BBC whose location is the B... | [] | [] | [
[
"resource:Bananaman",
"property:broadcasted_by",
"resource:BBC"
],
[
"resource:Bananaman",
"rdf:type",
"ontology:comics_character"
],
[
"resource:BBC",
"property:city",
"resource:Broadcasting_House"
],
[
"resource:BBC",
"property:founded_by",
"resource:J... | Bananaman | [
{
"modified": "broadcastedBy",
"readable": "broadcasted by",
"graph": "property:broadcasted_by"
},
{
"modified": "city",
"readable": "city",
"graph": "property:city"
},
{
"modified": "foundedBy",
"readable": "founded by",
"graph": "property:founded_by"
},
{
"modif... | [
{
"question": [],
"graph_query": "ASK WHERE { resource:BBC property:founded_by resource:Giovanni_Bertone }",
"readable_query": "ASK WHERE { resource:BBC property:founded_by resource:Giovanni_Bertone }",
"graph_answer": [
"False"
],
"readable_answer": [
"False"
],
"type": ... | |
MeanOfTransportation | 2 | 4966 | Id201 | [
{
"subject": "MTU_Friedrichshafen",
"property": "locationCity",
"object": "Friedrichshafen"
},
{
"subject": "A-Rosa_Luna",
"property": "powerType",
"object": "MTU_Friedrichshafen"
}
] | [
{
"subject": "MTU_Friedrichshafen",
"property": "city",
"object": "Friedrichshafen"
},
{
"subject": "A-Rosa_Luna",
"property": "powerType",
"object": "MTU_Friedrichshafen"
}
] | (X (X (X))) | chain | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The A-Rosa Luna is powered by a MTU Friedrichshafen engine in Friedrichshafen.",
"The A-Rosa Luna is powered by MTU Friedrichshafen made engines, located in Friedrichshafen.",
"The A-Rosa Lu... | [] | [] | [
[
"resource:A_Rosa_Luna",
"rdf:type",
"ontology:mean_of_transportation"
],
[
"resource:A_Rosa_Luna",
"property:power_type",
"resource:MTU_Friedrichshafen"
],
[
"resource:MTU_Friedrichshafen",
"property:city",
"resource:Friedrichshafen"
]
] | A-Rosa_Luna | [
{
"modified": "city",
"readable": "city",
"graph": "property:city"
},
{
"modified": "powerType",
"readable": "power type",
"graph": "property:power_type"
},
{
"modified": "A-Rosa_Luna",
"readable": "A-Rosa Luna",
"graph": "resource:A_Rosa_Luna"
},
{
"modified": "F... | [
{
"question": [],
"graph_query": "SELECT DISTINCT ?a ?q WHERE { ?a rdf:type ontology:mean_of_transportation . ?q property:city resource:Friedrichshafen . ?a property:power_type ?q }",
"readable_query": "SELECT DISTINCT ?a ?q WHERE { ?a rdf:type ontology:mean_of_transportation . ?q property:city resource... |
End of preview. Expand
in Data Studio
YAML Metadata Warning: The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Dataset Card for WEBNLG-QA
Dataset Summary
WEBNLG-QA is a conversational question answering dataset grounded on WEBNLG. It consists in a set of question-answering dialogues (follow-up question-answer pairs) based on short paragraphs of text. Each paragraph is associated a knowledge graph (from WEBNLG). The questions are associated with SPARQL queries.
Supported tasks
- Knowledge-based question-answering
- SPARQL-to-Text conversion
Knowledge based question-answering
Below is an example of dialogue:
- Q1: What is used as an instrument is Sludge Metal or in Post-metal?
- A1: Singing, Synthesizer
- Q2: And what about Sludge Metal in particular?
- A2: Singing
- Q3: Does the Year of No Light album Nord belong to this genre?
- A3: Yes.
SPARQL-to-Text Question Generation
SPARQL-to-Text question generation refers to the task of converting a SPARQL query into a natural language question, eg:
SELECT (COUNT(?country) as ?answer)
WHERE { ?country property:member_of resource:Europe .
?country property:population ?n .
FILTER ( ?n > 10000000 )
}
could be converted into:
How many European countries have more than 10 million inhabitants?
Dataset Structure
Types of questions
Comparison of question types compared to related datasets:
| SimpleQuestions | ParaQA | LC-QuAD 2.0 | CSQA | WebNLQ-QA | ||
|---|---|---|---|---|---|---|
| Number of triplets in query | 1 | ✓ | ✓ | ✓ | ✓ | ✓ |
| 2 | ✓ | ✓ | ✓ | ✓ | ||
| More | ✓ | ✓ | ✓ | |||
| Logical connector between triplets | Conjunction | ✓ | ✓ | ✓ | ✓ | ✓ |
| Disjunction | ✓ | ✓ | ||||
| Exclusion | ✓ | ✓ | ||||
| Topology of the query graph | Direct | ✓ | ✓ | ✓ | ✓ | ✓ |
| Sibling | ✓ | ✓ | ✓ | ✓ | ||
| Chain | ✓ | ✓ | ✓ | ✓ | ||
| Mixed | ✓ | ✓ | ||||
| Other | ✓ | ✓ | ✓ | ✓ | ||
| Variable typing in the query | None | ✓ | ✓ | ✓ | ✓ | ✓ |
| Target variable | ✓ | ✓ | ✓ | ✓ | ||
| Internal variable | ✓ | ✓ | ✓ | ✓ | ||
| Comparisons clauses | None | ✓ | ✓ | ✓ | ✓ | ✓ |
| String | ✓ | ✓ | ||||
| Number | ✓ | ✓ | ✓ | |||
| Date | ✓ | ✓ | ||||
| Superlative clauses | No | ✓ | ✓ | ✓ | ✓ | ✓ |
| Yes | ✓ | |||||
| Answer type | Entity (open) | ✓ | ✓ | ✓ | ✓ | ✓ |
| Entity (closed) | ✓ | ✓ | ||||
| Number | ✓ | ✓ | ✓ | |||
| Boolean | ✓ | ✓ | ✓ | ✓ | ||
| Answer cardinality | 0 (unanswerable) | ✓ | ✓ | |||
| 1 | ✓ | ✓ | ✓ | ✓ | ✓ | |
| More | ✓ | ✓ | ✓ | ✓ | ||
| Number of target variables | 0 (⇒ ASK verb) | ✓ | ✓ | ✓ | ✓ | |
| 1 | ✓ | ✓ | ✓ | ✓ | ✓ | |
| 2 | ✓ | ✓ | ||||
| Dialogue context | Self-sufficient | ✓ | ✓ | ✓ | ✓ | ✓ |
| Coreference | ✓ | ✓ | ||||
| Ellipsis | ✓ | ✓ | ||||
| Meaning | Meaningful | ✓ | ✓ | ✓ | ✓ | ✓ |
| Non-sense | ✓ |
Data splits
Text verbalization is only available for a subset of the test set, referred to as challenge set. Other sample only contain dialogues in the form of follow-up sparql queries.
| Train | Validation | Test | Challenge | |
|---|---|---|---|---|
| Questions | 27727 | 3485 | 4179 | 332 |
| Dialogues | 1001 | 1264 | 1417 | 100 |
| NL question per query | 0 | 0 | 0 | 2 |
| Characters per query | 129 (± 43) | 131 (± 45) | 122 (± 45) | 113 (± 38) |
| Tokens per question | - | - | - | 8.4 (± 4.5) |
Additional information
Related datasets
This corpus is part of a set of 5 datasets released for SPARQL-to-Text generation, namely:
- Non conversational datasets
- Conversational datasets
Licencing information
- Content from original dataset: CC-BY-SA 4.0
- New content: CC BY-SA 4.0
Citation information
This dataset
@inproceedings{lecorve2022sparql2text,
title={SPARQL-to-Text Question Generation for Knowledge-Based Conversational Applications},
author={Lecorv\'e, Gw\'enol\'e and Veyret, Morgan and Brabant, Quentin and Rojas-Barahona, Lina M.},
journal={Proceedings of the Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP)},
year={2022}
}
The underlying corpus WEBNLG 3.0
@inproceedings{castro-ferreira-etal-2020-2020,
title = "The 2020 Bilingual, Bi-Directional {W}eb{NLG}+ Shared Task: Overview and Evaluation Results ({W}eb{NLG}+ 2020)",
author = "Castro Ferreira, Thiago and Gardent, Claire and Ilinykh, Nikolai and van der Lee, Chris and Mille, Simon and Moussallem, Diego and Shimorina, Anastasia",
booktitle = "Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)",
year = "2020",
pages = "55--76"
}
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Paper:
SPARQL-to-Text Question Generation for Knowledge-Based Conversational Applications (AACL-IJCNLP 2022)
Point of Contact:
Gwénolé Lecorvé
Size of downloaded dataset files:
9.64 MB
Size of the auto-converted Parquet files:
9.64 MB
Number of rows:
12,797