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stringclasses 14
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sequence | query
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stringclasses 8
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stringclasses 7
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stringclasses 5
values | auto_generated
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14
|
---|---|---|---|---|---|---|---|---|---|
AQ2288 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the Struct+2Way+Word model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Struct+2Way+Word\")\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 |
AQ1629 | Factoid | {
"string": "Which model has achieved the highest Score score on the Ball in cup, catch (DMControl500k) 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) = \"Ball in cup, catch (DMControl500k)\")\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 |
AQ1782 | Factoid | {
"string": "What is the name of the top performing model in terms of Top 1 Accuracy score when benchmarked on the Food-101 dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Top 1 Accuracy\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Food-101\")\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 |
AQ0836 | Factoid | {
"string": "Can you list the metrics used to evaluate models on the LAMBADA dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"LAMBADA\")\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 |
AQ1132 | non-factoid | {
"string": "Can you provide the highest benchmark result, including the metric and score, for the RACE 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) = \"RACE\")\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 |
AQ1728 | Factoid | {
"string": "What is the name of the top performing model in terms of Score score when benchmarked on the Atari 2600 Road Runner 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) = \"Atari 2600 Road Runner\")\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 |
AQ1129 | non-factoid | {
"string": "What is the top benchmark result (metric and value) over the dataset UCF101 (finetuned)?"
} | [] | {
"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) = \"UCF101 (finetuned)\")\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 |
AQ2236 | Factoid | {
"string": "Where can I find code references in papers that have used the SB-CNN noaug model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"SB-CNN noaug\")\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 |
AQ0325 | Factoid | {
"string": "What are the models that have been benchmarked on the STL-10, 1000 Labels dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"STL-10, 1000 Labels\")\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 |
AQ1454 | Factoid | {
"string": "Indicate the model that performed best in terms of EM metric on the Quasart-T benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"EM\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Quasart-T\")\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 |
AQ0491 | Factoid | {
"string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the QNLI dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"QNLI\")\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 |
AQ1247 | non-factoid | {
"string": "What is the top benchmark result (metric and value) over the dataset Reuters RCV1/RCV2 German-to-English?"
} | [] | {
"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) = \"Reuters RCV1/RCV2 German-to-English\")\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 |
AQ1291 | non-factoid | {
"string": "Can you provide the highest benchmark result, including the metric and score, for the Atari 2600 Skiing 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) = \"Atari 2600 Skiing\")\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 |
AQ1995 | Factoid | {
"string": "Where can I find code references in papers that have used the BiTT model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"BiTT\")\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 |
AQ2343 | Factoid | {
"string": "List the code links in papers that use the RUDDER model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"RUDDER\")\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 |
AQ0993 | Factoid | {
"string": "What evaluation metrics are commonly used when benchmarking models on the Reuters En-De dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Reuters En-De\")\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 |
AQ1431 | Factoid | {
"string": "What is the best performing model benchmarking the IWSLT2015 German-English dataset in terms of BLEU score metric?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"BLEU score\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"IWSLT2015 German-English\")\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 |
AQ0898 | Factoid | {
"string": "What are the metrics of evaluation over the CINIC-10 dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CINIC-10\")\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 |
AQ0590 | Factoid | {
"string": "List the title and ID of research papers that contain a benchmark over the Atari 2600 Zaxxon 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 Zaxxon\")\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 |
AQ0269 | Factoid | {
"string": "Could you provide a list of models that have been tested on the Atari 2600 Defender benchmark 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 Defender\")\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 |
AQ2291 | Factoid | {
"string": "Provide a list of papers that have utilized the BertSumExt 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) = \"BertSumExt\")\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 |
AQ2075 | Factoid | {
"string": "Provide a list of papers that have utilized the S-Norm 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) = \"S-Norm\")\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 |
AQ0417 | Factoid | {
"string": "Provide a list of research paper titles and IDs that have benchmarked models on the WMT2016 English-Russian dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"WMT2016 English-Russian\")\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 |
AQ1705 | Factoid | {
"string": "Which model has achieved the highest Score score on the Atari 2600 Amidar 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) = \"Atari 2600 Amidar\")\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 |
AQ1570 | Factoid | {
"string": "What is the best performing model benchmarking the BC5CDR-disease dataset in terms of F1 entity level metric?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"F1 entity level\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"BC5CDR-disease\")\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 |
AQ1628 | Factoid | {
"string": "What is the name of the top performing model in terms of Score score when benchmarked on the Finger, spin (DMControl100k) 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) = \"Finger, spin (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 |
AQ2133 | Factoid | {
"string": "Provide a list of papers that have utilized the Hypernetworks 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) = \"Hypernetworks\")\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 |
AQ1276 | non-factoid | {
"string": "What is the top benchmark score and its metric on the Atari 2600 Zaxxon 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) = \"Atari 2600 Zaxxon\")\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 |
AQ0741 | Factoid | {
"string": "What evaluation metrics are commonly used when benchmarking models on the JNLPBA dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"JNLPBA\")\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 |
AQ2065 | Factoid | {
"string": "Where can I find code references in papers that have used the FusionNet model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"FusionNet\")\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 |
AQ0385 | Factoid | {
"string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the MNIST dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"MNIST\")\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 |
AQ1986 | Factoid | {
"string": "Where can I find code references in papers that have used the Naive Bayes model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Naive Bayes\")\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 |
AQ0847 | Factoid | {
"string": "What are the metrics of evaluation over the ImageNet dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ImageNet\")\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 |
AQ0947 | Factoid | {
"string": "What are the metrics of evaluation over the Atari 2600 Venture 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 Venture\")\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 |
AQ2039 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the GPT-3 175B (Few-Shot) model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"GPT-3 175B (Few-Shot)\")\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 |
AQ1347 | non-factoid | {
"string": "Can you provide the highest benchmark result, including the metric and score, for the ImageNet ReaL 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) = \"ImageNet ReaL\")\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 |
AQ2415 | Factoid | {
"string": "Where can I find code references in papers that have used the CvT-21 model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CvT-21\")\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 |
AQ1054 | non-factoid | {
"string": "What is the top benchmark result (metric and value) over the dataset SciFACT?"
} | [] | {
"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) = \"SciFACT\")\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 |
AQ0828 | Factoid | {
"string": "What evaluation metrics are commonly used when benchmarking models on the MultiNLI dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_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 orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}"
} | T03 | Tree | WHICH-WHAT | true | 6 |
AQ2407 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the DeiT-B 384 model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"DeiT-B 384\")\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 |
AQ0663 | Factoid | {
"string": "List the title and ID of research papers that contain a benchmark over the SVHN dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"SVHN\")\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 |
AQ1950 | Factoid | {
"string": "Provide a list of papers that have utilized the BERT-based binary sentence classifier 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) = \"BERT-based binary sentence classifier\")\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 |
AQ2289 | Factoid | {
"string": "Where can I find code references in papers that have used the Contextual Match model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Contextual Match\")\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 |
AQ2222 | Factoid | {
"string": "List the code links in papers that use the GGCNN model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"GGCNN\")\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 |
AQ1961 | Factoid | {
"string": "List the code links in papers that use the LibSVM model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"LibSVM\")\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 |
AQ0076 | Factoid | {
"string": "Can you list the models that have been evaluated on the WMT2014 French-English dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"WMT2014 French-English\")\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 |
HQ0098 | Factoid | {
"string": "Does OWLMAP imply integrity constraints?"
} | [
"Are integrity constraints involved in OWLMAP?"
] | {
"sparql": "ASK {\n ?approach rdfs:label \"OWLMAP\"^^xsd:string.\n ?contrib ?predicate ?approach.\n ?contrib orkgp:P41333 ?integrity_constraints.\n FILTER(?integrity_constraints = \"t\"^^xsd:string)\n}"
} | null | tree | BOOLEAN | false | 3 |
AQ1699 | Factoid | {
"string": "What is the best performing model benchmarking the Atari 2600 Atlantis dataset in terms of Score metric?"
} | [] | {
"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) = \"Atari 2600 Atlantis\")\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 |
AQ2393 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the CvT-W24 (384 res, ImageNet-22k pretrain) model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CvT-W24 (384 res, ImageNet-22k pretrain)\")\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 |
AQ2004 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the SPTree model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"SPTree\")\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 |
AQ1015 | Factoid | {
"string": "What are the metrics of evaluation over the BUCC French-to-English dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"BUCC French-to-English\")\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 |
AQ1421 | Factoid | {
"string": "Indicate the model that performed best in terms of BLEU score metric on the WMT2016 English-Czech benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"BLEU score\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"WMT2016 English-Czech\")\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 |
AQ0844 | Factoid | {
"string": "List the metrics that are used to evaluate models on the Text8 benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Text8\")\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 |
AQ0676 | Factoid | {
"string": "Provide a list of research paper titles and IDs that have benchmarked models on the EBM-NLP dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"EBM-NLP\")\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 |
AQ0330 | Factoid | {
"string": "What models are being evaluated on the BUCC Chinese-to-English dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"BUCC Chinese-to-English\")\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 |
AQ0215 | Factoid | {
"string": "Could you provide a list of models that have been tested on the DTD benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"DTD\")\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 |
AQ2105 | Factoid | {
"string": "List the code links in papers that use the QA-GNN model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"QA-GNN\")\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 |
AQ0658 | Factoid | {
"string": "List the title and ID of research papers that contain a benchmark over the iNaturalist 2019 dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"iNaturalist 2019\")\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 |
AQ0683 | Factoid | {
"string": "List the title and ID of research papers that contain a benchmark over the IMDb-B dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"IMDb-B\")\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 |
AQ1647 | Factoid | {
"string": "Indicate the model that performed best in terms of SOFT_SPL metric on the Habitat 2020 Object Nav test-std benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"SOFT_SPL\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Habitat 2020 Object Nav test-std\")\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 |
AQ2123 | Factoid | {
"string": "Provide a list of papers that have utilized the All-attention network (18 layers) 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) = \"All-attention network (18 layers)\")\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 |
AQ2314 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the ES FF (1 hour) noop model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"ES FF (1 hour) 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 |
AQ0187 | Factoid | {
"string": "What models are being evaluated on the BC5CDR-disease dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"BC5CDR-disease\")\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 |
AQ1856 | Factoid | {
"string": "List the datasets benchmarked under the Unsupervised Machine Translation research problem?"
} | [] | {
"sparql": "SELECT DISTINCT ?dataset ?dataset_lbl\nWHERE {\n ?problem a orkgc:Problem;\n rdfs:label ?problem_lbl. \n FILTER (str(?problem_lbl) = \"Unsupervised Machine Translation\")\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 |
AQ1301 | non-factoid | {
"string": "What is the top benchmark result (metric and value) over the dataset Atari 2600 Tutankham?"
} | [] | {
"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 Tutankham\")\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 |
HQ0076 | Non-factoid | {
"string": "What preprocessing methods are used?"
} | [
"What is the list of preprocessing methods involved in the studies?"
] | {
"sparql": "SELECT DISTINCT ?prep_methods, ?prep_methods_labels\nWHERE {\n orkgr:R155154 orkgp:compareContribution ?contrib.\n ?contrib orkgp:P41006 ?prep_methods.\n ?prep_methods rdfs:label ?prep_methods_labels.\n}"
} | null | chain | WHICH-WHAT | false | 3 |
AQ1199 | non-factoid | {
"string": "What is the top benchmark score and its metric on the MRPC 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) = \"MRPC\")\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 |
AQ0372 | Factoid | {
"string": "List the title and ID of research papers that contain a benchmark over the CORLL dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_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 ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}"
} | T02 | Tree | WHICH-WHAT | true | 5 |
AQ1955 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the CATTS model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CATTS\")\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 |
AQ0906 | Factoid | {
"string": "What evaluation metrics are commonly used when benchmarking models on the MLDoc Zero-Shot English-to-German dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"MLDoc Zero-Shot English-to-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 |
AQ2357 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the ViT-H/14 model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"ViT-H/14\")\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 |
AQ1063 | non-factoid | {
"string": "Can you provide the highest benchmark result, including the metric and score, for the Abstracts\\' entities and relations annotated corpus 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) = \"Abstracts\\' entities and relations annotated corpus\")\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 |
AQ2150 | Factoid | {
"string": "List the code links in papers that use the adversarial + AWD-LSTM-MoS + dynamic eval model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"adversarial + AWD-LSTM-MoS + dynamic eval\")\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 |
AQ0359 | Factoid | {
"string": "What are the titles and IDs of research papers that include a benchmark for the ScienceIE dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ScienceIE\")\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 |
AQ1549 | Factoid | {
"string": "Which model has achieved the highest SICK-R score on the SentEval benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"SICK-R\")\n {\n SELECT ?model ?model_lbl\n WHERE {\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 ?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 |
AQ1661 | Factoid | {
"string": "Which model has achieved the highest Accuracy (%) score on the Food-101 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) = \"Food-101\")\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 |
AQ1936 | Factoid | {
"string": "Provide a list of papers that have utilized the GLaM 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) = \"GLaM\")\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 |
AQ1181 | non-factoid | {
"string": "What is the top benchmark result (metric and value) over the dataset Penn Treebank (Word Level)?"
} | [] | {
"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) = \"Penn Treebank (Word Level)\")\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 |
AQ0552 | Factoid | {
"string": "What are the titles and IDs of research papers that include a benchmark for the ClueWeb09-B dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ClueWeb09-B\")\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 |
AQ1377 | Factoid | {
"string": "Which model has achieved the highest Error score on the Amazon-5 benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Error\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Amazon-5\")\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 |
AQ2400 | Factoid | {
"string": "Provide a list of papers that have utilized the EfficientNetV2-L (21k) 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) = \"EfficientNetV2-L (21k)\")\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 |
AQ0043 | Factoid | {
"string": "Can you list the models that have been evaluated on the nuScenes dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_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 ?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 |
AQ2433 | Factoid | {
"string": "Where can I find code references in papers that have used the BBG (ResNet-34) model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"BBG (ResNet-34)\")\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 |
AQ1179 | non-factoid | {
"string": "What is the highest benchmark result achieved on the LAMBADA 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) = \"LAMBADA\")\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 |
AQ1381 | Factoid | {
"string": "Which model has achieved the highest F1 score on the NYT 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) = \"NYT\")\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 |
AQ0469 | Factoid | {
"string": "Provide a list of research paper titles and IDs that have benchmarked models on the Natural Questions (long) dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_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 ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}"
} | T02 | Tree | WHICH-WHAT | true | 5 |
HQ0045 | Factoid/Superlative | {
"string": "In what country was conducted research with the largest number of participants?"
} | [
"Where was conducted research with the largest number of participants about the methodological implications of psychodrama psychotherapy?"
] | {
"sparql": "SELECT ?country\nWHERE {\n orkgr:R44980 orkgp:compareContribution ?contrib.\n ?contrib orkgp:P15249 ?country;\n orkgp:P23169 ?number_of_participants.\n}\nORDER BY DESC(?number_of_participants)\nLIMIT 1"
} | null | tree | WHICH-WHAT | false | 3 |
AQ2422 | Factoid | {
"string": "Provide a list of papers that have utilized the DY-MobileNetV2 ×1.0 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) = \"DY-MobileNetV2 ×1.0\")\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 |
AQ0513 | Factoid | {
"string": "List the title and ID of research papers that contain a benchmark over the MRPC dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"MRPC\")\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 |
AQ1237 | non-factoid | {
"string": "Can you provide the highest benchmark result, including the metric and score, for the Dmlab-30 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) = \"Dmlab-30\")\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 |
AQ1835 | Factoid | {
"string": "What are the most commonly used benchmark datasets for the Finding an efficient and state-of-the-art approach to search for optimal architectures for image classification. research field?"
} | [] | {
"sparql": "SELECT DISTINCT ?dataset ?dataset_lbl\nWHERE {\n ?problem a orkgc:Problem;\n rdfs:label ?problem_lbl. \n FILTER (str(?problem_lbl) = \"Finding an efficient and state-of-the-art approach to search for optimal architectures for image 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 |
AQ2006 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the DYGIE++ model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"DYGIE++\")\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 |
AQ0885 | Factoid | {
"string": "What evaluation metrics are commonly used when benchmarking models on the Cheetah, run (DMControl100k) dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Cheetah, run (DMControl100k)\")\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 |
AQ0082 | Factoid | {
"string": "Can you list the models that have been evaluated on the WMT2016 German-English dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"WMT2016 German-English\")\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 |
AQ1225 | non-factoid | {
"string": "What is the highest benchmark result achieved on the Reacher, easy (DMControl500k) 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) = \"Reacher, easy (DMControl500k)\")\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 |
AQ0165 | Factoid | {
"string": "Can you list the models that have been evaluated on the DDI extraction 2013 corpus dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"DDI extraction 2013 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 |
AQ2082 | Factoid | {
"string": "Provide a list of papers that have utilized the MEMEN (single model) 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) = \"MEMEN (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 |
AQ1012 | Factoid | {
"string": "Can you list the metrics used to evaluate models on the Sequential MNIST dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Sequential MNIST\")\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 |
HQ0023 | Non-Factoid | {
"string": "what are the evidence and limitations of paper \"Evaluating the Use of Social Networks in Author Name Disambiguation in Digital Libraries\"?"
} | [
"What are constraints of the findings from paper \"Evaluating the Use of Social Networks in Author Name Disambiguation in Digital Libraries\" and where do they come from?"
] | {
"sparql": "SELECT ?evidence ?evidence_title ?limitation\nWHERE {\n orkgr:R6751 orkgp:compareContribution ?cont.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_title.\n ?cont orkgp:P5004 ?evidence;\n orkgp:P5006 ?limitation.\n ?evidence rdfs:label ?evidence_title.\n FILTER(REGEX(STR(?paper_title), \"Evaluating the Use of Social Networks in Author Name Disambiguation in Digital Libraries\", \"i\"))\n}"
} | null | tree | WHICH-WHAT | false | 6 |
AQ1025 | Factoid | {
"string": "What evaluation metrics are commonly used when benchmarking models on the PROTEINS dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"PROTEINS\")\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 |