id
stringlengths 6
6
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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
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14
|
---|---|---|---|---|---|---|---|---|---|
AQ0022 | Factoid | {
"string": "Can you list the models that have been evaluated on the ACL-ARC dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ACL-ARC\")\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 |
AQ2445 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the BiT-S (ResNet-152x4) model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"BiT-S (ResNet-152x4)\")\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 |
AQ0118 | Factoid | {
"string": "Can you list the models that have been evaluated on the Quora Question Pairs dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Quora Question Pairs\")\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 |
AQ1581 | Factoid | {
"string": "Indicate the model that performed best in terms of Error metric on the DBpedia 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) = \"DBpedia\")\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 |
AQ0428 | Factoid | {
"string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the WMT2016 English-German 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-German\")\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 |
AQ2450 | Factoid | {
"string": "List the code links in papers that use the XLNet Large Cased model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"XLNet Large Cased\")\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 |
AQ2112 | Factoid | {
"string": "List the code links in papers that use the Transformer-XL (24 layers, RMS dynamic eval, decay) model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Transformer-XL (24 layers, RMS dynamic eval, decay)\")\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 |
AQ0415 | Factoid | {
"string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the CIFAR-100 dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CIFAR-100\")\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 |
AQ0588 | Factoid | {
"string": "What are the titles and IDs of research papers that include a benchmark for the Atari 2600 Atlantis 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 Atlantis\")\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 |
AQ0440 | Factoid | {
"string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the Multimodal PISA dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Multimodal PISA\")\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 |
AQ1108 | non-factoid | {
"string": "What is the top benchmark score and its metric on the WMT2016 English-Romanian 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) = \"WMT2016 English-Romanian\")\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 |
AQ2129 | Factoid | {
"string": "List the code links in papers that use the AWD-LSTM (3 layers) model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"AWD-LSTM (3 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 |
AQ1496 | Factoid | {
"string": "Indicate the model that performed best in terms of BLEU metric on the RotoWire 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\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"RotoWire\")\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 |
AQ2412 | Factoid | {
"string": "Where can I find code references in papers that have used the CAIT-XS-24 model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CAIT-XS-24\")\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 |
AQ0944 | Factoid | {
"string": "What evaluation metrics are commonly used when benchmarking models on the Atari 2600 Enduro 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 Enduro\")\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 |
AQ0471 | Factoid | {
"string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the SearchQA dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"SearchQA\")\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 |
HQ0028 | Non-factoid | {
"string": "Which indicators for well-being are used in the studies on the effect of COVID-19?"
} | [
"Which indicators for wellbeing are used in the study \"The effect of the COVID19 pandemic on wellbeing\"?"
] | {
"sparql": "SELECT DISTINCT ?indicators, ?indicators_labels\nWHERE {\n orkgr:R78492 orkgp:compareContribution ?contrib.\n ?contrib orkgp:P36089 ?indicators.\n ?indicators rdfs:label ?indicators_labels.\n}"
} | null | chain | WHICH-WHAT | false | 3 |
AQ1921 | Factoid | {
"string": "Where can I find code references in papers that have used the Linformer model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Linformer\")\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 |
HQ0083 | Factoid | {
"string": "What is the amount of questions for LC-QuAD 2.0 dataset?"
} | [
"How many questions does LCQuAD 2.0 dataset contain?"
] | {
"sparql": "SELECT ?number_of_questions\nWHERE {\n orkgr:R154290 orkgp:P31 ?contrib.\n ?contrib orkgp:P41923 ?number_of_questions.\n}"
} | null | chain | WHICH-WHAT | false | 2 |
AQ2119 | Factoid | {
"string": "Provide a list of papers that have utilized the Transformer-XL (24 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) = \"Transformer-XL (24 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 |
AQ1384 | Factoid | {
"string": "What is the best performing model benchmarking the DuIE dataset in terms of F1 metric?"
} | [] | {
"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) = \"DuIE\")\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 |
AQ2330 | Factoid | {
"string": "Where can I find code references in papers that have used the Go-Explore model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Go-Explore\")\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 |
AQ1407 | Factoid | {
"string": "What is the name of the top performing model in terms of RE+ Macro F1 score when benchmarked on the ADE Corpus 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) = \"ADE Corpus\")\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 |
AQ2192 | Factoid | {
"string": "Provide a list of papers that have utilized the Adaptive Input Very Large 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) = \"Adaptive Input Very Large\")\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 |
AQ2028 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the CMLM+LAT+1 iterations model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CMLM+LAT+1 iterations\")\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 |
AQ1326 | non-factoid | {
"string": "What is the top benchmark score and its metric on the BBCSport 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) = \"BBCSport\")\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 |
AQ1645 | Factoid | {
"string": "Which model has achieved the highest SUCCESS score on the Habitat 2020 Point 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) = \"SUCCESS\")\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 Point 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 |
AQ0265 | Factoid | {
"string": "Can you list the models that have been evaluated on the Atari 2600 Kangaroo 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 Kangaroo\")\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 |
AQ1303 | non-factoid | {
"string": "What is the top benchmark score and its metric on the Atari 2600 Montezuma\\'s Revenge 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 Montezuma\\'s Revenge\")\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 |
AQ2166 | Factoid | {
"string": "Where can I find code references in papers that have used the Inan et al. (2016) - Variational RHN model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Inan et al. (2016) - Variational RHN\")\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 |
AQ2358 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the BiT-L model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"BiT-L\")\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 |
AQ1480 | Factoid | {
"string": "Indicate the model that performed best in terms of ROUGE-2 metric on the CNN / Daily Mail 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-2\")\n {\n SELECT ?model ?model_lbl\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 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 |
AQ0246 | Factoid | {
"string": "Can you list the models that have been evaluated on the Atari 2600 Berzerk 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 Berzerk\")\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 |
AQ1694 | Factoid | {
"string": "Which model has achieved the highest Medium Human-Normalized Score score on the Atari-57 benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Medium Human-Normalized 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-57\")\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 |
AQ0593 | Factoid | {
"string": "Provide a list of research paper titles and IDs that have benchmarked models on the Atari 2600 River Raid 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 River Raid\")\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 |
AQ0524 | Factoid | {
"string": "List the title and ID of research papers that contain a benchmark over the SST-2 Binary classification dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\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 ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}"
} | T02 | Tree | WHICH-WHAT | true | 5 |
AQ2396 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the DeiT-S model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"DeiT-S\")\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 |
AQ1658 | Factoid | {
"string": "What is the name of the top performing model in terms of Accuracy (%) score when benchmarked on the CINIC-10 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) = \"CINIC-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 |
AQ1824 | Factoid | {
"string": "Indicate the model that performed best in terms of Macro F1 metric on the NLP-TDMS (Exp, arXiv only) benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"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) = \"NLP-TDMS (Exp, arXiv only)\")\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 |
HQ0065 | Factoid/Superlative | {
"string": "What is the maximum egg mass in studies?"
} | [
"What is the highest mass of embroyo eggs mentioned in the studies?"
] | {
"sparql": "SELECT MAX(?egg_masses_float)\nWHERE {\n orkgr:R34845 orkgp:compareContribution ?contrib.\n ?contrib orkgp:P15692 ?egg_masses.\n BIND(xsd:float(?egg_masses) AS ?egg_masses_float)\n}"
} | null | chain | WHICH-WHAT | false | 2 |
AQ0016 | Factoid | {
"string": "Can you list the models that have been evaluated on the ScienceIE dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_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 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 |
AQ0113 | Factoid | {
"string": "What models are being evaluated on the CoQA dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CoQA\")\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 |
AQ0810 | Factoid | {
"string": "What evaluation metrics are commonly used when benchmarking models on the QuAC dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"QuAC\")\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 |
AQ2001 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the multi-head model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"multi-head\")\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 |
AQ2125 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the Transformer-XL (18 layers) model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Transformer-XL (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 |
AQ0632 | Factoid | {
"string": "What are the titles and IDs of research papers that include a benchmark for the Atari 2600 Gravitar 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 Gravitar\")\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 |
AQ0997 | Factoid | {
"string": "What evaluation metrics are commonly used when benchmarking models on the ACL-ARC dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ACL-ARC\")\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 |
AQ0581 | Factoid | {
"string": "What are the titles and IDs of research papers that include a benchmark for the Atari 2600 Double Dunk 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 Double Dunk\")\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 |
AQ0228 | Factoid | {
"string": "What models are being evaluated on the Barabasi-Albert dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Barabasi-Albert\")\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 |
AQ1957 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the SciGEN model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"SciGEN\")\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 |
AQ1461 | Factoid | {
"string": "What is the name of the top performing model in terms of Accuracy score when benchmarked on the BioASQ 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) = \"BioASQ\")\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 |
AQ1832 | Factoid | {
"string": "Indicate the model that performed best in terms of Accuracy metric on the PROTEINS 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) = \"PROTEINS\")\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 |
AQ1050 | non-factoid | {
"string": "What is the top benchmark result (metric and value) over the dataset TDMSci?"
} | [] | {
"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) = \"TDMSci\")\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 |
AQ0442 | Factoid | {
"string": "What are the titles and IDs of research papers that include a benchmark for the HMDB51 (finetuned) dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"HMDB51 (finetuned)\")\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 |
AQ1396 | Factoid | {
"string": "What is the best performing model benchmarking the ACE 2005 dataset in terms of Sentence Encoder metric?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Sentence Encoder\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ACE 2005\")\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 |
AQ0849 | Factoid | {
"string": "Can you list the metrics used to evaluate models on the Jacquard dataset dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \" Jacquard 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 |
AQ1525 | Factoid | {
"string": "What is the name of the top performing model in terms of Number of params score when benchmarked on the Hutter Prize dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Number of params\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Hutter Prize\")\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 |
AQ1996 | Factoid | {
"string": "Provide a list of papers that have utilized the SciBERT (SciVocab) 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) = \"SciBERT (SciVocab)\")\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 |
AQ1350 | non-factoid | {
"string": "What is the top benchmark result (metric and value) over the dataset Flowers-102?"
} | [] | {
"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) = \"Flowers-102\")\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 |
AQ0908 | Factoid | {
"string": "What are the metrics of evaluation over the MLDoc Zero-Shot English-to-Spanish 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-Spanish\")\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 |
AQ1601 | Factoid | {
"string": "What is the best performing model benchmarking the CIFAR-10 dataset in terms of FLOPS metric?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"FLOPS\")\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 |
AQ1948 | Factoid | {
"string": "Provide a list of papers that have utilized the DyGIE++ + OpenIE + Stanford Core NLP PoS tagger enriched by consistent triples 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) = \"DyGIE++ + OpenIE + Stanford Core NLP PoS tagger enriched by consistent triples\")\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 |
AQ2190 | Factoid | {
"string": "Where can I find code references in papers that have used the Neural cache model (size = 100) model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Neural cache model (size = 100)\")\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 |
AQ1675 | Factoid | {
"string": "What is the name of the top performing model in terms of Accuracy score when benchmarked on the MLDoc Zero-Shot English-to-Spanish 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 English-to-Spanish\")\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 |
AQ0319 | Factoid | {
"string": "Can you list the models that have been evaluated on the ObjectNet (Bounding Box) dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"ObjectNet (Bounding Box)\")\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 |
AQ1184 | non-factoid | {
"string": "Can you provide the highest benchmark result, including the metric and score, for the WikiText-2 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) = \"WikiText-2\")\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 |
AQ0174 | Factoid | {
"string": "Can you list the models that have been evaluated on the DCASE dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"DCASE\")\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 |
AQ1389 | Factoid | {
"string": "Which model has achieved the highest F1 score on the ACE 2004 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) = \"ACE 2004\")\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 |
AQ1902 | Factoid | {
"string": "Provide a list of benchmarked datasets related to the Document 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) = \"Document 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 |
AQ0758 | Factoid | {
"string": "List the metrics that are used to evaluate models on the CIFAR-100 benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"CIFAR-100\")\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 |
AQ2404 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the CAIT-M-24 model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CAIT-M-24\")\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 |
AQ1867 | Factoid | {
"string": "Name the datasets that have been used for benchmarking in the Language Modelling research problem?"
} | [] | {
"sparql": "SELECT DISTINCT ?dataset ?dataset_lbl\nWHERE {\n ?problem a orkgc:Problem;\n rdfs:label ?problem_lbl. \n FILTER (str(?problem_lbl) = \"Language Modelling\")\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 |
AQ1146 | non-factoid | {
"string": "Can you provide the highest benchmark result, including the metric and score, for the WebQuestions 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) = \"WebQuestions\")\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 |
AQ0860 | Factoid | {
"string": "What are the metrics of evaluation over the DCASE dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"DCASE\")\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 |
AQ0771 | Factoid | {
"string": "List the metrics that are used to evaluate models on the WMT2016 English-German benchmark dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"WMT2016 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 |
HQ0074 | Factoid/Ranking | {
"string": "For what product minimum conversion was obtained?"
} | [
"What product in the studies is characterized by the lowest value of conversion?"
] | {
"sparql": "SELECT ?product, ?product_label\nWHERE {\n orkgr:R155272 orkgp:compareContribution ?contrib.\n ?contrib orkgp:P43149 ?product;\n orkgp:P43148 ?conversion.\n ?product rdfs:label ?product_label.\n ?conversion rdfs:label ?conversion_label.\n}\nORDER BY ASC(xsd:float(?conversion_label))\nLIMIT 1"
} | null | tree | WHICH-WHAT | false | 5 |
AQ1218 | non-factoid | {
"string": "What is the highest benchmark result achieved on the BC5CDR 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) = \"BC5CDR\")\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 |
AQ0063 | Factoid | {
"string": "Can you list the models that have been evaluated on the NYT-single dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"NYT-single\")\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 |
AQ2366 | Factoid | {
"string": "List the code links in papers that use the CeiT-T (384 finetune resolution) model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"CeiT-T (384 finetune resolution)\")\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 |
AQ1756 | Factoid | {
"string": "Which model has achieved the highest Score score on the Atari 2600 Star Gunner 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 Star Gunner\")\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 |
AQ1548 | Factoid | {
"string": "Indicate the model that performed best in terms of SICK-E metric 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-E\")\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 |
AQ1368 | non-factoid | {
"string": "Can you provide the highest benchmark result, including the metric and score, for the PROTEINS 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) = \"PROTEINS\")\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 |
AQ2023 | Factoid | {
"string": "Where can I find code references in papers that have used the Unsupervised PBSMT model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"Unsupervised PBSMT\")\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 |
AQ2019 | Factoid | {
"string": "Where can I find code references in papers that have used the SciIE model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"SciIE\")\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 |
AQ0719 | Factoid | {
"string": "What are the metrics of evaluation over the Automatically labeled Medline abstracts corpus dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_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 orkgp:HAS_EVALUATION ?eval.\n OPTIONAL {?eval orkgp:HAS_METRIC ?metric.\n ?metric rdfs:label ?metric_lbl.}\n}"
} | T03 | Tree | WHICH-WHAT | true | 6 |
AQ2108 | Factoid | {
"string": "List the code links in papers that use the XLNet (Large) model in any benchmark?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"XLNet (Large)\")\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 |
AQ1313 | non-factoid | {
"string": "What is the top benchmark score and its metric on the Atari 2600 HERO 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 HERO\")\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 |
AQ1491 | Factoid | {
"string": "What is the name of the top performing model in terms of Recall score when benchmarked on the Rotowire (Content Selection) dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\n ?metric a orkgc:Metric;\n rdfs:label ?metric_lbl.\n FILTER (str(?metric_lbl) = \"Recall\")\n {\n SELECT ?model ?model_lbl\n WHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Rotowire (Content Selection)\")\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 |
AQ0370 | Factoid | {
"string": "What are the titles and IDs of research papers that include a benchmark for the SciGEN dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"SciGEN\")\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 |
AQ2402 | Factoid | {
"string": "Provide a list of papers that have utilized the CAIT-M-36 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\")\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 |
AQ1473 | Factoid | {
"string": "What is the best performing model benchmarking the TriviaQA dataset in terms of F1 metric?"
} | [] | {
"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) = \"TriviaQA\")\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 |
AQ0054 | Factoid | {
"string": "What are the models that have been benchmarked on the NYT dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?model ?model_lbl\nWHERE {\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 ?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 |
AQ1669 | Factoid | {
"string": "What is the best performing model benchmarking the DTD dataset in terms of PARAMS metric?"
} | [] | {
"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) = \"DTD\")\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 |
AQ0464 | Factoid | {
"string": "Give me a list of research papers along with their titles and IDs, that have performed benchmarks on the Story Cloze Test dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_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 ?cont orkgp:HAS_BENCHMARK ?benchmark.\n ?paper orkgp:P31 ?cont;\n rdfs:label ?paper_lbl.\n}"
} | T02 | Tree | WHICH-WHAT | true | 5 |
AQ0571 | Factoid | {
"string": "Provide a list of research paper titles and IDs that have benchmarked models on the Barabasi-Albert dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?paper ?paper_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Barabasi-Albert\")\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 |
AQ1695 | Factoid | {
"string": "Which model has achieved the highest 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) = \"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 |
AQ2242 | Factoid | {
"string": "Where can I find code references in papers that have used the SciBERT (active learning) model for benchmarking purposes?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"SciBERT (active learning)\")\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 |
AQ0718 | Factoid | {
"string": "What are the metrics of evaluation over the Annotated development corpus dataset?"
} | [] | {
"sparql": "SELECT DISTINCT ?metric ?metric_lbl\nWHERE {\n ?dataset a orkgc:Dataset;\n rdfs:label ?dataset_lbl.\n FILTER (str(?dataset_lbl) = \"Annotated development corpus\")\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 |
AQ1161 | non-factoid | {
"string": "What is the highest benchmark result achieved on the RotoWire (Content Ordering) 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) = \"RotoWire (Content Ordering)\")\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 |
AQ1941 | Factoid | {
"string": "Can you provide links to code used in papers that benchmark the DocTAET-TDM model?"
} | [] | {
"sparql": "SELECT DISTINCT ?code\nWHERE {\n ?model a orkgc:Model;\n rdfs:label ?model_lbl.\n FILTER (str(?model_lbl) = \"DocTAET-TDM\")\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 |