id
stringlengths
6
6
query_type
stringclasses
14 values
question
dict
paraphrased_question
sequence
query
dict
template_id
stringclasses
8 values
query_shape
stringclasses
7 values
query_class
stringclasses
5 values
auto_generated
bool
2 classes
number_of_patterns
int32
1
14
AQ0941
Factoid
{ "string": "Can you list the metrics used to evaluate models on the Atari 2600 Beam Rider dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Atari 2600 Beam Rider\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ1002
Factoid
{ "string": "Can you list the metrics used to evaluate models on the ImageNet V2 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ImageNet V2\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ2305
Factoid
{ "string": "List the code links in papers that use the DQN noop model in any benchmark?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"DQN noop\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ0715
Factoid
{ "string": "What evaluation metrics are commonly used when benchmarking models on the CORLL dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CORLL\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
HQ0044
Factoid/Count
{ "string": "What is the total number of species examined in the studies?" }
[ "How many species are examined throughout the papers?" ]
{ "sparql": "SELECT (SUM(?number) AS ?total)\nWHERE {\n orkgr:R58002 orkgp:compareContribution ?contrib.\n ?contrib orkgp:P31024 ?number_of_species.\n BIND(xsd:integer(?number_of_species) AS ?number)\n}" }
null
chain
WHICH-WHAT
false
2
AQ1784
Factoid
{ "string": "Which model has achieved the highest Best Score score on the Atari 2600 Ms. Pacman benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Best Score\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Atari 2600 Ms. Pacman\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ1170
non-factoid
{ "string": "What is the top benchmark score and its metric on the RTE dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"RTE\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ2169
Factoid
{ "string": "Provide a list of papers that have utilized the GRU (Bai et al., 2018) model and include the links to their code?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"GRU (Bai et al., 2018)\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ0827
Factoid
{ "string": "Can you list the metrics used to evaluate models on the RTE dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"RTE\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ1848
Factoid
{ "string": "List the datasets benchmarked under the Triples extraction research problem?" }
[]
{ "sparql": "SELECT DISTINCT ?dataset ?dataset_lbl\nWHERE {\n ?problem a orkgc:Problem;\n rdfs:label ?problem_lbl. \n FILTER (str(?problem_lbl) = \"Triples extraction\")\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:P32 ?problem.\n}" }
T06
Tree
WHICH-WHAT
true
5
AQ1760
Factoid
{ "string": "Which model has achieved the highest Percentage error score on the MNIST benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Percentage error\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"MNIST\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ0126
Factoid
{ "string": "What models are being evaluated on the Natural Questions (long) dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Natural Questions (long)\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?paper orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?paper orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n}" }
T01
Tree
WHICH-WHAT
true
6
AQ0913
Factoid
{ "string": "Can you list the metrics used to evaluate models on the WSC dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"WSC\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ1833
Factoid
{ "string": "Which model has achieved the highest Accuracy score on the IMDb-B benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Accuracy\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"IMDb-B\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ0890
Factoid
{ "string": "What evaluation metrics are commonly used when benchmarking models on the Walker, walk (DMControl500k) dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Walker, walk (DMControl500k)\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ0793
Factoid
{ "string": "Can you list the metrics used to evaluate models on the Natural Questions (short) dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Natural Questions (short)\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ1152
non-factoid
{ "string": "What is the highest benchmark result achieved on the CNN / Daily Mail dataset, including the metric and its value?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CNN / Daily Mail\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ1226
non-factoid
{ "string": "What is the top benchmark result (metric and value) over the dataset Lunar Lander (OpenAI Gym)?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Lunar Lander (OpenAI Gym)\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ1520
Factoid
{ "string": "Which model has achieved the highest Accuracy score on the QNLI benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Accuracy\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"QNLI\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ0121
Factoid
{ "string": "Can you list the models that have been evaluated on the Story Cloze Test dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Story Cloze Test\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?paper orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?paper orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n}" }
T01
Tree
WHICH-WHAT
true
6
AQ0775
Factoid
{ "string": "Can you list the metrics used to evaluate models on the IWSLT2015 English-German dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"IWSLT2015 English-German\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
HQ0036
Factoid
{ "string": "What is the full name of the EXPO ontology?" }
[ "What does abbreviation \"EXPO\" in the title of corresponding ontology correspond?" ]
{ "sparql": "SELECT ?full_name\nWHERE {\n orkgr:R8342 orkgp:compareContribution ?cont.\n ?cont orkgp:P7034 ?ontology.\n ?ontology rdfs:label ?ont_lbl;\n orkgp:P7035 ?full_name. \n FILTER(REGEX(STR(?ont_lbl), \"expo\", \"i\"))\n}" }
null
tree
WHICH-WHAT
false
4
AQ1975
Factoid
{ "string": "List the code links in papers that use the AttentionOCR_Inception-resnet-v2_Location model in any benchmark?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"AttentionOCR_Inception-resnet-v2_Location\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
HQ0073
Factoid
{ "string": "Do all studies include open ocean sampling?" }
[ "Is open ocean sampling involved in all contibutions?" ]
{ "sparql": "ASK {\n {\n SELECT (COUNT(?ocean_sampling) AS ?counter)\n WHERE {\n orkgr:R155561 orkgp:compareContribution ?contrib.\n ?contrib orkgp:P41379 ?ocean_sampling.\n FILTER(?ocean_sampling = \"F\"^^xsd:string)\n }\n }\n FILTER(?counter = 0)\n}" }
null
chain
BOOLEAN
false
2
AQ0967
Factoid
{ "string": "What are the metrics of evaluation over the Atari 2600 Boxing dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Atari 2600 Boxing\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ0256
Factoid
{ "string": "What models are being evaluated on the Atari 2600 Freeway dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Atari 2600 Freeway\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?paper orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?paper orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n}" }
T01
Tree
WHICH-WHAT
true
6
AQ0286
Factoid
{ "string": "What are the models that have been benchmarked on the Atari 2600 Video Pinball dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Atari 2600 Video Pinball\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?paper orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?paper orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n}" }
T01
Tree
WHICH-WHAT
true
6
AQ2281
Factoid
{ "string": "Provide a list of papers that have utilized the PtGen-Covg model and include the links to their code?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"PtGen-Covg\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ1387
Factoid
{ "string": "Indicate the model that performed best in terms of RE+ Macro F1 metric on the CoNLL04 benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"RE+ Macro F1 \")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CoNLL04\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ0820
Factoid
{ "string": "What evaluation metrics are commonly used when benchmarking models on the ARC (Challenge) dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ARC (Challenge)\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ0746
Factoid
{ "string": "List the metrics that are used to evaluate models on the GAD benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"GAD\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ1608
Factoid
{ "string": "Indicate the model that performed best in terms of PARAMS metric on the Stanford Cars benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"PARAMS\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Stanford Cars\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ0561
Factoid
{ "string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the Reuters RCV1/RCV2 German-to-English dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Reuters RCV1/RCV2 German-to-English\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
AQ0729
Factoid
{ "string": "Can you list the metrics used to evaluate models on the nuScenes dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"nuScenes\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ2013
Factoid
{ "string": "Can you provide links to code used in papers that benchmark the SciBERT (Base Vocab) model?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"SciBERT (Base Vocab)\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ1978
Factoid
{ "string": "Can you provide links to code used in papers that benchmark the LSTM model?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"LSTM\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ1739
Factoid
{ "string": "What is the name of the top performing model in terms of PARAMS score when benchmarked on the Flowers-102 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"PARAMS\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Flowers-102\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ0034
Factoid
{ "string": "What are the models that have been benchmarked on the Abstracts\\' entities and relations annotated corpus dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Abstracts\\' entities and relations annotated corpus\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?paper orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?paper orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n}" }
T01
Tree
WHICH-WHAT
true
6
AQ1747
Factoid
{ "string": "What is the name of the top performing model in terms of Mean Accuracy score when benchmarked on the ModelNet40 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Mean Accuracy\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ModelNet40\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ1151
non-factoid
{ "string": "What is the top benchmark score and its metric on the SQuAD1.1 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"SQuAD1.1\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ0376
Factoid
{ "string": "What are the titles and IDs of research papers that include a benchmark for the Automatically labeled Medline abstracts corpus dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Automatically labeled Medline abstracts corpus\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
AQ0706
Factoid
{ "string": "What are the metrics of evaluation over the ner_dataset_recognition dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ner_dataset_recognition\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ1311
non-factoid
{ "string": "What is the highest benchmark result achieved on the Atari 2600 Space Invaders dataset, including the metric and its value?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Atari 2600 Space Invaders\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ1846
Factoid
{ "string": "Provide a list of benchmarked datasets related to the co-authorship prediction research area?" }
[]
{ "sparql": "SELECT DISTINCT ?dataset ?dataset_lbl\nWHERE {\n ?problem a orkgc:Problem;\n rdfs:label ?problem_lbl. \n FILTER (str(?problem_lbl) = \"co-authorship prediction\")\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:P32 ?problem.\n}" }
T06
Tree
WHICH-WHAT
true
5
AQ1783
Factoid
{ "string": "Which model has achieved the highest F1 score on the AAPD benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"F1\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"AAPD\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ1338
non-factoid
{ "string": "Can you provide the highest benchmark result, including the metric and score, for the PubMed 20k RCT dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"PubMed 20k RCT\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ1616
Factoid
{ "string": "What is the best performing model benchmarking the One Billion Word dataset in terms of Validation perplexity metric?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Validation perplexity\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"One Billion Word\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ1887
Factoid
{ "string": "Name the datasets that have been used for benchmarking in the Citation Intent Classification research problem?" }
[]
{ "sparql": "SELECT DISTINCT ?dataset ?dataset_lbl\nWHERE {\n ?problem a orkgc:Problem;\n rdfs:label ?problem_lbl. \n FILTER (str(?problem_lbl) = \"Citation Intent Classification\")\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:P32 ?problem.\n}" }
T06
Tree
WHICH-WHAT
true
5
AQ2202
Factoid
{ "string": "Where can I find code references in papers that have used the PAR Transformer 24B model for benchmarking purposes?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"PAR Transformer 24B\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
HQ0004
Factoid
{ "string": "Who is responsible for acquisition in the RASH system?" }
[ "Who collected the data for the RASH system?" ]
{ "sparql": "SELECT ?acq\nWHERE {\n orkgr:R8364 orkgp:compareContribution ?cont.\n ?cont orkgp:P7046 orkgr:R8350.\n orkgr:R8350 orkgp:P7049 ?acq.\n}" }
null
chain
WHO-WHAT
false
4
AQ0855
Factoid
{ "string": "What are the metrics of evaluation over the SentEval dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"SentEval\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ0416
Factoid
{ "string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the 200k Short Texts for Humor Detection dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"200k Short Texts for Humor Detection\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
AQ1255
non-factoid
{ "string": "Can you provide the highest benchmark result, including the metric and score, for the MLDoc Zero-Shot English-to-Italian dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"MLDoc Zero-Shot English-to-Italian\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ0931
Factoid
{ "string": "What evaluation metrics are commonly used when benchmarking models on the Atari 2600 Atlantis dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Atari 2600 Atlantis\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ2416
Factoid
{ "string": "List the code links in papers that use the CAIT-XXS-36 model in any benchmark?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CAIT-XXS-36\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ0446
Factoid
{ "string": "Provide a list of research paper titles and IDs that have benchmarked models on the RACE dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"RACE\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
AQ1562
Factoid
{ "string": "Indicate the model that performed best in terms of Accuracy metric on the SST-2 Binary classification benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Accuracy\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"SST-2 Binary classification\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ1031
non-factoid
{ "string": "What is the top benchmark result (metric and value) over the dataset FTD dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"FTD dataset\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ0458
Factoid
{ "string": "Provide a list of research paper titles and IDs that have benchmarked models on the CommonsenseQA dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CommonsenseQA\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
HQ0010
Non-factoid
{ "string": "What metric will be used to evaluate question answering systems?" }
[ "With which metric are the question answering systems evaluated?" ]
{ "sparql": "SELECT DISTINCT ?name\nWHERE {\n [\n orkgp:P34 [\n rdfs:label ?name \n ]\n ].\n FILTER(STRLEN(?name) > 0)\n}\nORDER BY ?name" }
null
chain
WHICH-WHAT
false
2
AQ1674
Factoid
{ "string": "Indicate the model that performed best in terms of Accuracy metric on the MLDoc Zero-Shot German-to-French benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Accuracy\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"MLDoc Zero-Shot German-to-French\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ0171
Factoid
{ "string": "Can you list the models that have been evaluated on the GENIA - UAS dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"GENIA - UAS\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?paper orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?paper orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n}" }
T01
Tree
WHICH-WHAT
true
6
AQ2084
Factoid
{ "string": "List the code links in papers that use the SAN (single model) model in any benchmark?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"SAN (single model)\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ2434
Factoid
{ "string": "Can you provide links to code used in papers that benchmark the ZFNet (1 convnet, 512,1024,512 maps) model?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"ZFNet (1 convnet, 512,1024,512 maps)\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ1853
Factoid
{ "string": "Provide a list of benchmarked datasets related to the Relation Classification research area?" }
[]
{ "sparql": "SELECT DISTINCT ?dataset ?dataset_lbl\nWHERE {\n ?problem a orkgc:Problem;\n rdfs:label ?problem_lbl. \n FILTER (str(?problem_lbl) = \"Relation Classification\")\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:P32 ?problem.\n}" }
T06
Tree
WHICH-WHAT
true
5
AQ1865
Factoid
{ "string": "What are the most commonly used benchmark datasets for the Word Sense Disambiguation research field?" }
[]
{ "sparql": "SELECT DISTINCT ?dataset ?dataset_lbl\nWHERE {\n ?problem a orkgc:Problem;\n rdfs:label ?problem_lbl. \n FILTER (str(?problem_lbl) = \"Word Sense Disambiguation\")\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:P32 ?problem.\n}" }
T06
Tree
WHICH-WHAT
true
5
AQ1907
Factoid
{ "string": "Can you provide links to code used in papers that benchmark the Transformer-based One-Shot NAS (Neural Architecture Search) model. model?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Transformer-based One-Shot NAS (Neural Architecture Search) model.\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ0686
Factoid
{ "string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the DocRED (Human-annotated) dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"DocRED (Human-annotated)\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
AQ1007
Factoid
{ "string": "Can you list the metrics used to evaluate models on the Flowers-102 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Flowers-102\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ2286
Factoid
{ "string": "Can you provide links to code used in papers that benchmark the CGU model?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CGU\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ0894
Factoid
{ "string": "What evaluation metrics are commonly used when benchmarking models on the Dmlab-30 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Dmlab-30\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ2264
Factoid
{ "string": "Can you provide links to code used in papers that benchmark the BiLSTM (Europarl) model?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"BiLSTM (Europarl)\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ2245
Factoid
{ "string": "Can you provide links to code used in papers that benchmark the CURL model?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CURL\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ1076
non-factoid
{ "string": "What is the top benchmark result (metric and value) over the dataset Twitter?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Twitter\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ2061
Factoid
{ "string": "Can you provide links to code used in papers that benchmark the BERTjoint model?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"BERTjoint\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
HQ0015
Factoid/Superlative
{ "string": "What is the maximum sample size?" }
[ "How large is the largest sample size?" ]
{ "sparql": "SELECT ?sample_size\nWHERE {\n orkgr:R135371 orkgp:compareContribution ?cont.\n ?cont orkgp:P15687 ?sample_size\n}\nORDER BY DESC(?sample_size)\nLIMIT 1" }
null
chain
WHICH-WHAT
false
2
AQ1876
Factoid
{ "string": "What are the most commonly used benchmark datasets for the Medical Named Entity Recognition research field?" }
[]
{ "sparql": "SELECT DISTINCT ?dataset ?dataset_lbl\nWHERE {\n ?problem a orkgc:Problem;\n rdfs:label ?problem_lbl. \n FILTER (str(?problem_lbl) = \"Medical Named Entity Recognition\")\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:P32 ?problem.\n}" }
T06
Tree
WHICH-WHAT
true
5
AQ0274
Factoid
{ "string": "Can you list the models that have been evaluated on the Atari 2600 Montezuma\\'s Revenge dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Atari 2600 Montezuma\\'s Revenge\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?paper orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?paper orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n}" }
T01
Tree
WHICH-WHAT
true
6
AQ0532
Factoid
{ "string": "What are the titles and IDs of research papers that include a benchmark for the BC5CDR dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"BC5CDR\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
AQ1558
Factoid
{ "string": "What is the name of the top performing model in terms of PRE-TRAINING DATASET score when benchmarked on the ESC-50 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"PRE-TRAINING DATASET\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ESC-50\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ0510
Factoid
{ "string": "What are the titles and IDs of research papers that include a benchmark for the CoNLL 2012 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CoNLL 2012\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
AQ1686
Factoid
{ "string": "Indicate the model that performed best in terms of ROUGE-L metric on the AESLC benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"ROUGE-L\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"AESLC\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ1380
Factoid
{ "string": "What is the name of the top performing model in terms of F1 score when benchmarked on the NYT29 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"F1\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"NYT29\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ2364
Factoid
{ "string": "Provide a list of papers that have utilized the CaiT-M-36 U 224 model and include the links to their code?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CaiT-M-36 U 224\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ1769
Factoid
{ "string": "Indicate the model that performed best in terms of Percentage error metric on the Fashion-MNIST benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Percentage error\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Fashion-MNIST\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ2101
Factoid
{ "string": "List the code links in papers that use the Neural Content Planning + conditional copy model in any benchmark?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Neural Content Planning + conditional copy\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ2260
Factoid
{ "string": "Where can I find code references in papers that have used the MultiFiT, pseudo model for benchmarking purposes?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"MultiFiT, pseudo\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ1942
Factoid
{ "string": "Provide a list of papers that have utilized the SciNLP-KG model and include the links to their code?" }
[]
{ "sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"SciNLP-KG\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?cont orkgp:HAS_MODEL ?model;\n orkgp:HAS_SOURCE_CODE ?code.\n}" }
T07
Tree
WHICH-WHAT
true
4
AQ0747
Factoid
{ "string": "What evaluation metrics are commonly used when benchmarking models on the ChemProt dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ChemProt\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ0862
Factoid
{ "string": "What are the metrics of evaluation over the UrbanSound8k dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"UrbanSound8k\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ1599
Factoid
{ "string": "What is the best performing model benchmarking the CIFAR-10 dataset in terms of Parameters metric?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Parameters\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CIFAR-10\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ1630
Factoid
{ "string": "Indicate the model that performed best in terms of Score metric on the Walker, walk (DMControl100k) benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Score\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Walker, walk (DMControl100k)\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value;\n orkgp:HAS_METRIC ?metric.\n ?cont orkgp:HAS_BENCHMARK ?benchmark;\n orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.\n }\n ORDER BY DESC(?value)\n LIMIT 1\n }\n}" }
T05
Tree
WHICH-WHAT
true
12
AQ0822
Factoid
{ "string": "List the metrics that are used to evaluate models on the OpenBookQA benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"OpenBookQA\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ0629
Factoid
{ "string": "Provide a list of research paper titles and IDs that have benchmarked models on the Atari 2600 Video Pinball dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Atari 2600 Video Pinball\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
HQ0030
Factoid
{ "string": "Which toxins do pseudomonas species produce?" }
[ "What is the list of the toxins produced by pseudomonas species?" ]
{ "sparql": "SELECT DISTINCT ?toxins, ?toxins_labels\nWHERE {\n orkgr:R69027 orkgp:compareContribution ?contrib.\n ?contrib orkgp:P34037 ?toxins.\n ?toxins rdfs:label ?toxins_labels.\n}" }
null
chain
WHICH-WHAT
false
3
AQ0196
Factoid
{ "string": "Could you provide a list of models that have been tested on the Reacher, easy (DMControl500k) benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Reacher, easy (DMControl500k)\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?paper orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?paper orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n}" }
T01
Tree
WHICH-WHAT
true
6
AQ1133
non-factoid
{ "string": "Can you provide the highest benchmark result, including the metric and score, for the CUB-200-2011 dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl (MAX(?value) AS ?score)\nWHERE {\n {\n SELECT ?metric ?metric_lbl ?value\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CUB-200-2011\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n ?eval orkgp:HAS_VALUE ?value.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n OPTIONAL {?cont orkgp:HAS_MODEL ?model.\n ?model rdfs:label ?model_lbl.}\n }\n ORDER BY DESC(?value)\n }\n}\nGROUP BY ?metric ?metric_lbl" }
T04
Tree
WHICH-WHAT
true
13
AQ0688
Factoid
{ "string": "List the metrics that are used to evaluate models on the FTD dataset benchmark dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"FTD dataset\")\n ?benchmark orkgp:HAS_DATASET ?dataset;\n orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}" }
T03
Tree
WHICH-WHAT
true
6
AQ0485
Factoid
{ "string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the MultiNLI dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"MultiNLI\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5
AQ0557
Factoid
{ "string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the CIFAR-10 Image Classification dataset?" }
[]
{ "sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CIFAR-10 Image Classification\")\n ?benchmark orkgp:HAS_DATASET ?dataset.\n ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}" }
T02
Tree
WHICH-WHAT
true
5