PREFIX orkgp: <http://orkg.org/orkg/predicate/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?eval ?score ?model ?modelLabel WHERE {
  ?benchmark orkgp:HAS_DATASET <http://orkg.org/orkg/resource/R119130> .
  ?benchmark orkgp:HAS_EVALUATION ?eval .
  ?eval orkgp:HAS_VALUE ?score .
  ?eval orkgp:HAS_METRIC <http://orkg.org/orkg/resource/R119133> .
  OPTIONAL {
    ?eval ?modelProp1 ?model .
    FILTER ( ?modelProp1 IN ( orkgp:P20072 , orkgp:P59015 , orkgp:hasModel , orkgp:P9018 , orkgp:HAS_MODEL , orkgp:P59005 , orkgp:P15071 , orkgp:P71209 ) )
  }
  OPTIONAL {
    ?benchmark ?modelProp2 ?model .
    FILTER ( ?modelProp2 IN ( orkgp:P20072 , orkgp:P59015 , orkgp:hasModel , orkgp:P9018 , orkgp:HAS_MODEL , orkgp:P59005 , orkgp:P15071 , orkgp:P71209 ) )
  }
  OPTIONAL {
    ?model rdfs:label ?modelLabel
  }
}
ORDER BY DESC ( xsd:float ( ?score ) )
LIMIT 1

The top performing model in terms of Accuracy (High) score when benchmarked on the RACE dataset is Mushroom (http://orkg.org/orkg/resource/R128226) with a score of 84.0.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
orkg at http://localhost:7054

You can use the following SPARQL prefixes implicitly in all functions:
foaf: <http://xmlns.com/foaf/0.1/
orkgc: <http://orkg.org/orkg/class/
orkgp: <http://orkg.org/orkg/predicate/
orkgsh: <http://orkg.org/orkg/shapes/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
owl: <http://www.w3.org/2002/07/owl#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What is the name of the top performing model in terms of Accuracy (High) score when benchmarked on the RACE dataset?

[Assistant]
Let's break down the question:

1. We need to identify the "RACE" dataset in the ORKG knowledge graph.
2. We need to find models that have been benchmarked on the RACE dataset.
3. For those models, we need to find their "Accuracy (High)" scores.
4. We need to determine which model has the highest "Accuracy (High)" score and retrieve its name.

Let's start by searching for the "RACE" dataset entity in ORKG.

[Tool]
Top 10 entity alternatives:
1. Dataset (<http://orkg.org/orkg/resource/R178304>): has type Contribution Template
2. Dataset (<http://orkg.org/orkg/resource/R216575>): has type Contribution, has type R216526
3. Dataset (<http://orkg.org/orkg/resource/R182198>): has type Contribution
4. Dataset (<http://orkg.org/orkg/resource/R70898>): has type Contribution Template
5. Dataset (<http://orkg.org/orkg/resource/R11002>): has type Contribution
6. Dataset (<http://orkg.org/orkg/resource/R11006>): has type Contribution
7. Dataset (<http://orkg.org/orkg/resource/R12082>): has type Contribution
8. Dataset (<http://orkg.org/orkg/resource/R11015>): has type Contribution
9. Dataset (<http://orkg.org/orkg/resource/R11012>): has type Contribution
10. Dataset (<http://orkg.org/orkg/resource/R12102>): has type Contribution

[Tool]
Top 10 entity alternatives:
1. RACE (<http://orkg.org/orkg/resource/R119752>): has type Metric
2. RACE (<http://orkg.org/orkg/resource/R119130>): has type Dataset
3. Benchmark RACE (<http://orkg.org/orkg/resource/R130128>): has type Benchmark
4. Benchmark RACE (<http://orkg.org/orkg/resource/R129887>): has type Benchmark
5. Racer (<http://orkg.org/orkg/resource/R195030>): has type Ontology development tool
6. RACE-m (<http://orkg.org/orkg/resource/R119754>): has type Metric
7. RACE-h (<http://orkg.org/orkg/resource/R119753>): has type Metric
8. RACE sequencing (<http://orkg.org/orkg/resource/R201791>): has type Method
9. Caucasoid Race (<http://orkg.org/orkg/resource/R250231>)
10. African race (<http://orkg.org/orkg/resource/R250230>)

[Tool]
No property items found

No other items found

[Tool]
No property items found

No other items found

[Tool]
Top 10 property alternatives:
1. Accuracy (orkgp:P18048)
2. Accuracy (orkgp:P71081)
3. Accuracy (orkgp:P58020)
4. Accuracy (%) (orkgp:P58112)
5. Accuracy (%) deyeo0: (orkgp:P15372)
6. Best Accuracy (orkgp:P36079)
7. has accuracy (orkgp:P45080)
8. Accuracy (Discuss) (orkgp:P74019)
9. User’s accuracy (orkgp:P96008)
10. Accuracy (Unrelated) (orkgp:P74020)

[Tool]
Top 10 property alternatives:
1. Benchmark Performance (orkgp:P59252)
2. Benchmark Time (orkgp:P59253)
3. uses benchmark (orkgp:P38001)
4. Has benchmark (orkgp:P34103)
5. has benchmark (orkgp:hasBenchmark)
6. has benchmark (orkgp:HAS_BENCHMARK)
7. Performance measurment (orkgp:P58068)
8. Performance metric (orkgp:P5003)
9. Performance:Precision (orkgp:P34111)
10. has performance (orkgp:P9026)

[Tool]
Got 27 rows and 3 columns, showing the first 10 rows below:
| subject                                              | property                             | object                                                                           |
| ---------------------------------------------------- | ------------------------------------ | -------------------------------------------------------------------------------- |
| Evaluation (<http://orkg.org/orkg/resource/R197472>) | Benchmark Performance (orkgp:P59252) | [{'text': 'nan'}] (xsd:string)                                                   |
| Evaluation (<http://orkg.org/orkg/resource/R197475>) | Benchmark Performance (orkgp:P59252) | nan (xsd:string)                                                                 |
| Evaluation (<http://orkg.org/orkg/resource/R197479>) | Benchmark Performance (orkgp:P59252) | Multi-Person Pose Estimation COC...on CrowdPose, 71.3 mAP @0.5:0.95 (xsd:string) |
| Evaluation (<http://orkg.org/orkg/resource/R197529>) | Benchmark Performance (orkgp:P59252) | Ordinal Value Benchmark, 27% sem...al Value Benchmark, 55% accuracy (xsd:string) |
| Evaluation (<http://orkg.org/orkg/resource/R197537>) | Benchmark Performance (orkgp:P59252) | Actor 38.04 Texas 80.27 Wisconsi...92.05 Photos 85.16 Physics 93.28 (xsd:string) |
| Evaluation (<http://orkg.org/orkg/resource/R197598>) | Benchmark Performance (orkgp:P59252) | Multi-Task/Game Procgen w/ Rainb...ch efficiency over random search (xsd:string) |
| Evaluation (<http://orkg.org/orkg/resource/R197483>) | Benchmark Performance (orkgp:P59252) | Multi-Person Pose Estimation COC...on CrowdPose, 71.3 mAP @0.5:0.95 (xsd:string) |
| Evaluation (<http://orkg.org/orkg/resource/R197487>) | Benchmark Performance (orkgp:P59252) | Multi-Person Pose Estimation COC...on CrowdPose, 71.3 mAP @0.5:0.95 (xsd:string) |
| Evaluation (<http://orkg.org/orkg/resource/R197504>) | Benchmark Performance (orkgp:P59252) | Multi-Person Pose Estimation COC...on CrowdPose, 71.3 mAP @0.5:0.95 (xsd:string) |
| Evaluation (<http://orkg.org/orkg/resource/R197508>) | Benchmark Performance (orkgp:P59252) | Multi-Person Pose Estimation COC...on CrowdPose, 71.3 mAP @0.5:0.95 (xsd:string) |
| ...                                                  | ...                                  | ...                                                                              |

[Tool]
Got 121 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                | object                   |
| --------------------------------------------------------------------------------------- | ----------------------- | ------------------------ |
| Five fold cross validation results (<http://orkg.org/orkg/resource/R180014>)            | Accuracy (orkgp:P18048) | 0.998 (xsd:string)       |
| Performance of ontology classes at each level (<http://orkg.org/orkg/resource/R180016>) | Accuracy (orkgp:P18048) | 0.99 (xsd:string)        |
| Contribution (<http://orkg.org/orkg/resource/R70583>)                                   | Accuracy (orkgp:P18048) | 89.1 (xsd:string)        |
| Contribution 1 (<http://orkg.org/orkg/resource/R138705>)                                | Accuracy (orkgp:P18048) | 0.692 (xsd:string)       |
| Contribution 1 (<http://orkg.org/orkg/resource/R138713>)                                | Accuracy (orkgp:P18048) | 0.643–0.673 (xsd:string) |
| Food recognition (<http://orkg.org/orkg/resource/R182222>)                              | Accuracy (orkgp:P18048) | 100 (xsd:string)         |
| Contribution (<http://orkg.org/orkg/resource/R70574>)                                   | Accuracy (orkgp:P18048) | 84.8 (xsd:string)        |
| Contribution (<http://orkg.org/orkg/resource/R70577>)                                   | Accuracy (orkgp:P18048) | 80 (xsd:string)          |
| Contribution 1 (<http://orkg.org/orkg/resource/R138681>)                                | Accuracy (orkgp:P18048) | 0.70 (xsd:string)        |
| Contribution 1 (<http://orkg.org/orkg/resource/R138686>)                                | Accuracy (orkgp:P18048) | 0.681 (xsd:string)       |
| ...                                                                                | ...                     | ...                      |

[Tool]
Got 26 rows and 3 columns, showing the first 10 rows below:
| subject                                                  | property                | object                                         |
| -------------------------------------------------------- | ----------------------- | ---------------------------------------------- |
| Contribution 1 (<http://orkg.org/orkg/resource/R266363>) | Accuracy (orkgp:P71081) | mAP of 73.2% on VOC (xsd:string)               |
| Contribution 1 (<http://orkg.org/orkg/resource/R266366>) | Accuracy (orkgp:P71081) | Obtains a mAP of 78.6% (xsd:string)            |
| Contribution 1 (<http://orkg.org/orkg/resource/R221707>) | Accuracy (orkgp:P71081) | 0.3-0.4 deg without head movement (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R266348>) | Accuracy (orkgp:P71081) | BLEU-1 score is 59 (xsd:string)                |
| Contribution 1 (<http://orkg.org/orkg/resource/R266354>) | Accuracy (orkgp:P71081) | Sensitivity 0.84 (xsd:string)                  |
| Contribution 1 (<http://orkg.org/orkg/resource/R266360>) | Accuracy (orkgp:P71081) | max mAP of 0.8377 for
Soccer Goal (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R266369>) | Accuracy (orkgp:P71081) | Highest FM of 0.95 (xsd:string)                |
| Contribution 1 (<http://orkg.org/orkg/resource/R221691>) | Accuracy (orkgp:P71081) | 0.8 deg (xsd:string)                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R221694>) | Accuracy (orkgp:P71081) | 2.5 deg (xsd:string)                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R221697>) | Accuracy (orkgp:P71081) | 1 deg (xsd:string)                             |
| ...                                                      | ...                     | ...                                            |

[Tool]
Got 74 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                | object                                                               |
| ---------------------------------------------------------------------------------------------- | ----------------------- | -------------------------------------------------------------------- |
| predicting SOC based on different prediction methods (<http://orkg.org/orkg/resource/R196691>) | Accuracy (orkgp:P58020) | the performance indicators (<http://orkg.org/orkg/resource/R198433>) |
| prediction of SOC based on NDVI and NBR2 (<http://orkg.org/orkg/resource/R198004>)             | Accuracy (orkgp:P58020) | the performance indicators (<http://orkg.org/orkg/resource/R198426>) |
| Contribution 1 (<http://orkg.org/orkg/resource/R196159>)                                       | Accuracy (orkgp:P58020) | 93.3 (xsd:string)                                                    |
| predicting SOC and comparison with other resources (<http://orkg.org/orkg/resource/R196687>)   | Accuracy (orkgp:P58020) | the performance indicators (<http://orkg.org/orkg/resource/R198449>) |
| Twitter (<http://orkg.org/orkg/resource/R193236>)                                              | Accuracy (orkgp:P58020) | Positive (<http://orkg.org/orkg/resource/R193237>)                   |
| Contribution 1 (<http://orkg.org/orkg/resource/R196178>)                                       | Accuracy (orkgp:P58020) | 92.5 (xsd:string)                                                    |
| Contribution 1 (<http://orkg.org/orkg/resource/R196172>)                                       | Accuracy (orkgp:P58020) | 91.7 (xsd:string)                                                    |
| Validation results 2 (<http://orkg.org/orkg/resource/R217705>)                                 | Accuracy (orkgp:P58020) | 0.973 (xsd:string)                                                   |
| Validation results 3 (<http://orkg.org/orkg/resource/R217706>)                                 | Accuracy (orkgp:P58020) | 0.953 (xsd:string)                                                   |
| Validation results 1 (<http://orkg.org/orkg/resource/R217745>)                                 | Accuracy (orkgp:P58020) | 0.969 (xsd:string)                                                   |
| ...                                                                                | ...                     | ...                                                                  |

[Tool]
Top 10 property alternatives:
1. model (orkgp:P20072)
2. model (orkgp:P1004)
3. models (orkgp:P71209)
4. Models (orkgp:P43024)
5. model type (orkgp:P71176)
6. Proposed model (orkgp:P59015)
7. Mathematical model (orkgp:P41907)
8. has model (orkgp:hasModel)
9. Has model (orkgp:P9018)
10. has model (orkgp:HAS_MODEL)

[Tool]
Top 10 property alternatives:
1. Dataset (orkgp:P96045)
2. dataset (orkgp:P2005)
3. Dataset used (orkgp:P25063)
4. Datasets (orkgp:P44054)
5. Uses dataset (orkgp:P18087)
6. dataset description (orkgp:P16037)
7. Datasets used (orkgp:P58072)
8. dataset format (orkgp:P62072)
9. Dataset name (orkgp:P34063)
10. Experimental Dataset (orkgp:P15096)

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Accuracy (High) (<http://orkg.org/orkg/resource/R119133>): has type Metric
2. Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>): has type Evaluation
3. accuracy (<http://orkg.org/orkg/resource/R211293>): has type Metric
4. accuracy (<http://orkg.org/orkg/resource/R227989>): has type Contribution Template
5. accuracy (<http://orkg.org/orkg/resource/wikidata:Q1298969>): has type External
6. Accuracy (<http://orkg.org/orkg/resource/R163734>)
7. Accuracy (<http://orkg.org/orkg/resource/R194862>)
8. Accuracy (<http://orkg.org/orkg/resource/R195391>)
9. Accuracy (<http://orkg.org/orkg/resource/R195548>)
10. Accuracy (<http://orkg.org/orkg/resource/R142103>): the overall percentage of correctly\nclassified examples

[Tool] Got no rows and 3 columns

[Tool]
Got 3 rows and 3 columns:
| subject                                                   | property   | object                       |
| --------------------------------------------------------- | ---------- | ---------------------------- |
| Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) | rdf:type   | Metric (orkgc:Metric)        |
| Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) | rdfs:label | Accuracy (High) (xsd:string) |
| Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) | rdf:type   | orkgc:Resource               |

[Tool]
No property items found

No other items found

[Tool]
No property items found

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                                                                   | property                  | object                                                    |
| ------------------------------------------------------------------------- | ------------------------- | --------------------------------------------------------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | metric (orkgp:HAS_METRIC) | Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) |

[Tool]
Got 5 rows and 3 columns:
| subject                                                                   | property                  | object                                                    |
| ------------------------------------------------------------------------- | ------------------------- | --------------------------------------------------------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | value (orkgp:HAS_VALUE)   | 84.0 (xsd:string)                                         |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | metric (orkgp:HAS_METRIC) | Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | Evaluation (orkgc:Evaluation)                             |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdfs:label                | Evaluation Accuracy (High)_84.0 (xsd:string)              |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | orkgc:Resource                                            |

[Tool]
Got 6,085 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                | object                                                                                |
| -------------------------------------------------------------------------------------- | ----------------------- | ------------------------------------------------------------------------------------------------------------- |
| Contribution AutoFormer (<http://orkg.org/orkg/resource/R157419>)                      | value (orkgp:HAS_VALUE) | ImageNet Top-1-Accuracy (is in p...r Size (is in millions, ex. 5M). (<http://orkg.org/orkg/resource/R157426>) |
| Contribution 1 (<http://orkg.org/orkg/resource/R70367>)                                | value (orkgp:HAS_VALUE) | Tables (<http://orkg.org/orkg/resource/R70372>)                                                               |
| Experiments (<http://orkg.org/orkg/resource/R159408>)                                  | value (orkgp:HAS_VALUE) | final mean validation regret for... tested for all benchmarks: 2.39 (<http://orkg.org/orkg/resource/R159422>) |
| Performance on the LUBM datasets (<http://orkg.org/orkg/resource/R111574>)             | value (orkgp:HAS_VALUE) | 0.1 for Q4 (xsd:string)                                                                                |
| Categories of social networks on the Internet (<http://orkg.org/orkg/resource/R46797>) | value (orkgp:HAS_VALUE) | Instant Messengers (<http://orkg.org/orkg/resource/R44585>)                                                   |
| Types of infections (<http://orkg.org/orkg/resource/R68889>)                           | value (orkgp:HAS_VALUE) | Clostridium difficile infection (<http://orkg.org/orkg/resource/R34321>)                                      |
| internet identities (<http://orkg.org/orkg/resource/R46799>)                           | value (orkgp:HAS_VALUE) | succinctness (<http://orkg.org/orkg/resource/R46895>)                                                         |
| LUBM 500M - Q1 (<http://orkg.org/orkg/resource/R137563>)                               | value (orkgp:HAS_VALUE) | 10.6662 warm cashes (xsd:string)                                                                              |
| LUBM 500M - Q2 (<http://orkg.org/orkg/resource/R137587>)                               | value (orkgp:HAS_VALUE) |
29.4135 cold cashes
 (xsd:string)                                                                            |
| LUBM 500M - Q3 (<http://orkg.org/orkg/resource/R138308>)                               | value (orkgp:HAS_VALUE) |
5.7223 warm cashes
 (xsd:string)                                                                             |
| ...                                                                                | ...                     | ...                                                                                |

[Tool]
Got 5 rows and 3 columns:
| subject                                                                   | property                  | object                                                    |
| ------------------------------------------------------------------------- | ------------------------- | --------------------------------------------------------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | value (orkgp:HAS_VALUE)   | 84.0 (xsd:string)                                         |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | metric (orkgp:HAS_METRIC) | Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | Evaluation (orkgc:Evaluation)                             |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdfs:label                | Evaluation Accuracy (High)_84.0 (xsd:string)              |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | orkgc:Resource                                            |

[Tool]
Got 5 rows and 3 columns:
| subject                                                                   | property                  | object                                                    |
| ------------------------------------------------------------------------- | ------------------------- | --------------------------------------------------------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | value (orkgp:HAS_VALUE)   | 84.0 (xsd:string)                                         |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | metric (orkgp:HAS_METRIC) | Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | Evaluation (orkgc:Evaluation)                             |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdfs:label                | Evaluation Accuracy (High)_84.0 (xsd:string)              |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | orkgc:Resource                                            |

[Tool]
Got 109 rows and 3 columns, showing the first 10 rows below:
| subject                                                  | property                    | object                                                                           |
| -------------------------------------------------------- | --------------------------- | -------------------------------------------------------------------------------- |
| RNTN (<http://orkg.org/orkg/resource/R150015>)           | Dataset used (orkgp:P25063) | SST (<http://orkg.org/orkg/resource/R150016>)                                    |
| Contribution 1 (<http://orkg.org/orkg/resource/R196336>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R123177>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R196658>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R196473>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46612>)  | Dataset used (orkgp:P25063) | 4800 English, 870 German, and 15...les are collected from Wikipedia (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46562>)  | Dataset used (orkgp:P25063) | Dataset is collected from GENIA ...gainst AIMed and GENETAG dataset (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46474>)  | Dataset used (orkgp:P25063) | Annotated corpora is collected from the ACE and the ATB (xsd:string)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46476>)  | Dataset used (orkgp:P25063) | 2262 documents from Becker Riaz ...s containing short new sarticles (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46478>)  | Dataset used (orkgp:P25063) | 50 Punjabi news documents (xsd:string)                                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R46480>)  | Dataset used (orkgp:P25063) | Two datasets consisting of 12,03...s are collected from BBC website (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46482>)  | Dataset used (orkgp:P25063) | User-generated web-based corpus ...orums, product review sites etc. (xsd:string) |
| ...                                                      | ...                         | ...                                                                              |

[Tool] Got no rows and 3 columns

[Tool]
Got 109 rows and 3 columns, showing the first 10 rows below:
| subject                                                  | property                    | object                                                                           |
| -------------------------------------------------------- | --------------------------- | -------------------------------------------------------------------------------- |
| RNTN (<http://orkg.org/orkg/resource/R150015>)           | Dataset used (orkgp:P25063) | SST (<http://orkg.org/orkg/resource/R150016>)                                    |
| Contribution 1 (<http://orkg.org/orkg/resource/R196336>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R123177>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R196658>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R196473>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46612>)  | Dataset used (orkgp:P25063) | 4800 English, 870 German, and 15...les are collected from Wikipedia (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46562>)  | Dataset used (orkgp:P25063) | Dataset is collected from GENIA ...gainst AIMed and GENETAG dataset (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46474>)  | Dataset used (orkgp:P25063) | Annotated corpora is collected from the ACE and the ATB (xsd:string)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46476>)  | Dataset used (orkgp:P25063) | 2262 documents from Becker Riaz ...s containing short new sarticles (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46478>)  | Dataset used (orkgp:P25063) | 50 Punjabi news documents (xsd:string)                                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R46480>)  | Dataset used (orkgp:P25063) | Two datasets consisting of 12,03...s are collected from BBC website (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46482>)  | Dataset used (orkgp:P25063) | User-generated web-based corpus ...orums, product review sites etc. (xsd:string) |
| ...                                                      | ...                         | ...                                                                              |

[Tool]
Got 109 rows and 3 columns, showing the first 10 rows below:
| subject                                                  | property                    | object                                                                           |
| -------------------------------------------------------- | --------------------------- | -------------------------------------------------------------------------------- |
| RNTN (<http://orkg.org/orkg/resource/R150015>)           | Dataset used (orkgp:P25063) | SST (<http://orkg.org/orkg/resource/R150016>)                                    |
| Contribution 1 (<http://orkg.org/orkg/resource/R196336>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R123177>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R196658>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R196473>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46612>)  | Dataset used (orkgp:P25063) | 4800 English, 870 German, and 15...les are collected from Wikipedia (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46562>)  | Dataset used (orkgp:P25063) | Dataset is collected from GENIA ...gainst AIMed and GENETAG dataset (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46474>)  | Dataset used (orkgp:P25063) | Annotated corpora is collected from the ACE and the ATB (xsd:string)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46476>)  | Dataset used (orkgp:P25063) | 2262 documents from Becker Riaz ...s containing short new sarticles (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46478>)  | Dataset used (orkgp:P25063) | 50 Punjabi news documents (xsd:string)                                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R46480>)  | Dataset used (orkgp:P25063) | Two datasets consisting of 12,03...s are collected from BBC website (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46482>)  | Dataset used (orkgp:P25063) | User-generated web-based corpus ...orums, product review sites etc. (xsd:string) |
| ...                                                      | ...                         | ...                                                                              |

[Tool]
Top 10 entity alternatives:
1. RACE (<http://orkg.org/orkg/resource/R119752>): has type Metric
2. RACE (<http://orkg.org/orkg/resource/R119130>): has type Dataset
3. Benchmark RACE (<http://orkg.org/orkg/resource/R130128>): has type Benchmark
4. Benchmark RACE (<http://orkg.org/orkg/resource/R129887>): has type Benchmark
5. Racer (<http://orkg.org/orkg/resource/R195030>): has type Ontology development tool
6. RACE-m (<http://orkg.org/orkg/resource/R119754>): has type Metric
7. RACE-h (<http://orkg.org/orkg/resource/R119753>): has type Metric
8. RACE sequencing (<http://orkg.org/orkg/resource/R201791>): has type Method
9. Caucasoid Race (<http://orkg.org/orkg/resource/R250231>)
10. African race (<http://orkg.org/orkg/resource/R250230>)

[Tool] Got no rows and 3 columns

[Tool]
Got 109 rows and 3 columns, showing the first 10 rows below:
| subject                                                  | property                    | object                                                                           |
| -------------------------------------------------------- | --------------------------- | -------------------------------------------------------------------------------- |
| RNTN (<http://orkg.org/orkg/resource/R150015>)           | Dataset used (orkgp:P25063) | SST (<http://orkg.org/orkg/resource/R150016>)                                    |
| Contribution 1 (<http://orkg.org/orkg/resource/R196336>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R123177>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R196658>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R196473>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46612>)  | Dataset used (orkgp:P25063) | 4800 English, 870 German, and 15...les are collected from Wikipedia (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46562>)  | Dataset used (orkgp:P25063) | Dataset is collected from GENIA ...gainst AIMed and GENETAG dataset (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46474>)  | Dataset used (orkgp:P25063) | Annotated corpora is collected from the ACE and the ATB (xsd:string)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46476>)  | Dataset used (orkgp:P25063) | 2262 documents from Becker Riaz ...s containing short new sarticles (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46478>)  | Dataset used (orkgp:P25063) | 50 Punjabi news documents (xsd:string)                                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R46480>)  | Dataset used (orkgp:P25063) | Two datasets consisting of 12,03...s are collected from BBC website (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46482>)  | Dataset used (orkgp:P25063) | User-generated web-based corpus ...orums, product review sites etc. (xsd:string) |
| ...                                                      | ...                         | ...                                                                              |

[Tool]
Got 109 rows and 3 columns, showing the first 10 rows below:
| subject                                                  | property                    | object                                                                           |
| -------------------------------------------------------- | --------------------------- | -------------------------------------------------------------------------------- |
| RNTN (<http://orkg.org/orkg/resource/R150015>)           | Dataset used (orkgp:P25063) | SST (<http://orkg.org/orkg/resource/R150016>)                                    |
| Contribution 1 (<http://orkg.org/orkg/resource/R196336>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R123177>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R196658>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R196473>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46612>)  | Dataset used (orkgp:P25063) | 4800 English, 870 German, and 15...les are collected from Wikipedia (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46562>)  | Dataset used (orkgp:P25063) | Dataset is collected from GENIA ...gainst AIMed and GENETAG dataset (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46474>)  | Dataset used (orkgp:P25063) | Annotated corpora is collected from the ACE and the ATB (xsd:string)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46476>)  | Dataset used (orkgp:P25063) | 2262 documents from Becker Riaz ...s containing short new sarticles (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46478>)  | Dataset used (orkgp:P25063) | 50 Punjabi news documents (xsd:string)                                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R46480>)  | Dataset used (orkgp:P25063) | Two datasets consisting of 12,03...s are collected from BBC website (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46482>)  | Dataset used (orkgp:P25063) | User-generated web-based corpus ...orums, product review sites etc. (xsd:string) |
| ...                                                      | ...                         | ...                                                                              |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 2 rows and 3 columns:
| subject                                                  | property                        | object                                         |
| -------------------------------------------------------- | ------------------------------- | ---------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET) | RACE (<http://orkg.org/orkg/resource/R119130>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R129887>) | has dataset (orkgp:HAS_DATASET) | RACE (<http://orkg.org/orkg/resource/R119130>) |

[Tool]
Got 2 rows and 3 columns:
| subject                                                  | property                        | object                                         |
| -------------------------------------------------------- | ------------------------------- | ---------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET) | RACE (<http://orkg.org/orkg/resource/R119130>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R129887>) | has dataset (orkgp:HAS_DATASET) | RACE (<http://orkg.org/orkg/resource/R119130>) |

[Tool]
Got 7 rows and 3 columns:
| subject                                                  | property                          | object                                                                      |
| -------------------------------------------------------- | --------------------------------- | --------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>)          |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET)   | RACE (<http://orkg.org/orkg/resource/R119130>)                              |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | Benchmark (orkgc:Benchmark)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdfs:label                        | Benchmark RACE (xsd:string)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>)   |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | orkgc:Resource                                                              |

[Tool]
Got 5 rows and 3 columns:
| subject                                                            | property                  | object                                             |
| ------------------------------------------------------------------ | ------------------------- | -------------------------------------------------- |
| Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>) | value (orkgp:HAS_VALUE)   | 85.4 (xsd:string)                                  |
| Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>) | metric (orkgp:HAS_METRIC) | Accuracy (<http://orkg.org/orkg/resource/R111697>) |
| Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>) | rdf:type                  | Evaluation (orkgc:Evaluation)                      |
| Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>) | rdfs:label                | Evaluation Accuracy_85.4 (xsd:string)              |
| Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>) | rdf:type                  | orkgc:Resource                                     |

[Tool]
Got 5 rows and 3 columns:
| subject                                                                     | property                  | object                                                      |
| --------------------------------------------------------------------------- | ------------------------- | ----------------------------------------------------------- |
| Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) | value (orkgp:HAS_VALUE)   | 88.6 (xsd:string)                                           |
| Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) | metric (orkgp:HAS_METRIC) | Accuracy (Middle) (<http://orkg.org/orkg/resource/R119134>) |
| Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) | rdf:type                  | Evaluation (orkgc:Evaluation)                               |
| Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) | rdfs:label                | Evaluation Accuracy (Middle)_88.6 (xsd:string)              |
| Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) | rdf:type                  | orkgc:Resource                                              |

[Tool]
Got 5 rows and 3 columns:
| subject                                                                   | property                  | object                                                    |
| ------------------------------------------------------------------------- | ------------------------- | --------------------------------------------------------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | value (orkgp:HAS_VALUE)   | 84.0 (xsd:string)                                         |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | metric (orkgp:HAS_METRIC) | Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | Evaluation (orkgc:Evaluation)                             |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdfs:label                | Evaluation Accuracy (High)_84.0 (xsd:string)              |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | orkgc:Resource                                            |

[Tool]
Got 3,717 rows and 3 columns, showing the first 10 rows below:
| subject                                                               | property                          | object                                                                                |
| --------------------------------------------------------------------- | --------------------------------- | ------------------------------------------------------------------------------------------------------------- |
| 1-SOTAB_description (<http://orkg.org/orkg/resource/R282239>)         | evaluation (orkgp:HAS_EVALUATION) | Using DoDuo (<http://orkg.org/orkg/resource/R286796>)                                                         |
| MammoTab (<http://orkg.org/orkg/resource/R282243>)                    | evaluation (orkgp:HAS_EVALUATION) | Evaluation using the MTab system...versions of the SemTab challenge (<http://orkg.org/orkg/resource/R287505>) |
| Contribution 1 (<http://orkg.org/orkg/resource/R136069>)              | evaluation (orkgp:HAS_EVALUATION) | Gold standard (<http://orkg.org/orkg/resource/R136078>)                                                       |
| Wikinary (<http://orkg.org/orkg/resource/R282241>)                    | evaluation (orkgp:HAS_EVALUATION) | Human evaluation (<http://orkg.org/orkg/resource/R273019>)                                                    |
| Genome Evolutionary Analysis (<http://orkg.org/orkg/resource/R75376>) | evaluation (orkgp:HAS_EVALUATION) | country of origin (<http://orkg.org/orkg/resource/R33266>)                                                    |
| FedX (<http://orkg.org/orkg/resource/R114017>)                        | evaluation (orkgp:HAS_EVALUATION) | FedBench8 (<http://orkg.org/orkg/resource/R114025>)                                                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R136100>)              | evaluation (orkgp:HAS_EVALUATION) | true (xsd:string)                                                                                |
| SPARQL query optimization (<http://orkg.org/orkg/resource/R75313>)    | evaluation (orkgp:HAS_EVALUATION) | Online running time (xsd:string)                                                                              |
| Contribution 1 (<http://orkg.org/orkg/resource/R182425>)              | evaluation (orkgp:HAS_EVALUATION) | Link Prediction (xsd:string)                                                                                |
| (Main) Contribution (<http://orkg.org/orkg/resource/R76790>)          | evaluation (orkgp:HAS_EVALUATION) | Query performance (<http://orkg.org/orkg/resource/R113263>)                                                   |
| ...                                                                   | ...                               | ...                                                                                |

[Tool]
Got 1 row and 3 columns:
| subject                                                  | property                          | object                                                                    |
| -------------------------------------------------------- | --------------------------------- | ------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) |

[Tool]
Got 2 rows and 3 columns:
| subject                                                      | property             | object                                             |
| ------------------------------------------------------------ | -------------------- | -------------------------------------------------- |
| Contribution 1 (<http://orkg.org/orkg/resource/R41297>)      | model (orkgp:P20072) | SpanBERT (<http://orkg.org/orkg/resource/R41360>)  |
| Text-to-text model (<http://orkg.org/orkg/resource/R161789>) | model (orkgp:P20072) | T5 model (<http://orkg.org/orkg/resource/R161790>) |

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                                                                   | property                      | object                                                                                |
| ------------------------------------------------------------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------- |
| Text Classification (<http://orkg.org/orkg/resource/R217066>)             | Proposed model (orkgp:P59015) | HMATC:Hierarchical Multi-label Arabic text classification (HMATC) (<http://orkg.org/orkg/resource/R217067>)   |
| Text Classification (<http://orkg.org/orkg/resource/R217167>)             | Proposed model (orkgp:P59015) | XML-CNN (<http://orkg.org/orkg/resource/R218420>)                                                             |
| Multi-label Text Classification (<http://orkg.org/orkg/resource/R217182>) | Proposed model (orkgp:P59015) | Multi-level Dilated Convolution (<http://orkg.org/orkg/resource/R217196>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217159>)             | Proposed model (orkgp:P59015) | Pyramid: Label Prediction Model (<http://orkg.org/orkg/resource/R218311>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217154>)             | Proposed model (orkgp:P59015) | APLC-XLNet: Adaptive Probabilistic Label Clusters Pretrained Model (<http://orkg.org/orkg/resource/R218222>)  |
| Text Classification (<http://orkg.org/orkg/resource/R217168>)             | Proposed model (orkgp:P59015) | An aggregated feature and label ...ng label handling method (GB-AS) (<http://orkg.org/orkg/resource/R218428>) |
| Text Classification (<http://orkg.org/orkg/resource/R217597>)             | Proposed model (orkgp:P59015) | HE-AGCRCNN for large-scale multi-label text classification (<http://orkg.org/orkg/resource/R217613>)          |
| Text Classification (<http://orkg.org/orkg/resource/R217604>)             | Proposed model (orkgp:P59015) | SU4MLC:Semantic-Unit-for-Multi-label-Text-Classification (<http://orkg.org/orkg/resource/R218448>)            |
| Text Classification (<http://orkg.org/orkg/resource/R217149>)             | Proposed model (orkgp:P59015) | ML-Net, a novel end-to-end deep learning framework (<http://orkg.org/orkg/resource/R218033>)                  |
| Text Classification (<http://orkg.org/orkg/resource/R217127>)             | Proposed model (orkgp:P59015) | Hierarchical Attention-based Recurrent Neural Network (HARNN) (<http://orkg.org/orkg/resource/R217099>)       |
| ...                                                                       | ...                           | ...                                                                                |

[Tool]
Got 3 rows and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | SVM (<http://orkg.org/orkg/resource/R224782>)                         |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Random Forests (<http://orkg.org/orkg/resource/wikidata:Q22673963>)   |

[Tool]
Got 3 rows and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | SVM (<http://orkg.org/orkg/resource/R224782>)                         |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Random Forests (<http://orkg.org/orkg/resource/wikidata:Q22673963>)   |

[Tool]
Got 5 rows and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Random Forests (<http://orkg.org/orkg/resource/wikidata:Q22673963>)   |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | rdf:type              | orkgc:Resource                                                        |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | rdfs:label            | Accuracy score (xsd:string)                                           |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | SVM (<http://orkg.org/orkg/resource/R224782>)                         |

[Tool]
Top 10 entity alternatives:
1. Constituency Tree-LSTM (<http://orkg.org/orkg/resource/R122630>): has type Model
2. Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>)
3. Dependency Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R121058>): has type Model
4. two GCN models and the Tree-LSTM (<http://orkg.org/orkg/resource/R44310>)
5. Tree-structured neural model (Tree-LSTM) (Tai et al., 2015) (<http://orkg.org/orkg/resource/R41422>)

[Tool]
Got 3 rows and 3 columns:
| subject                                                               | property                       | object                                                                                |
| --------------------------------------------------------------------- | ------------------------------ | ------------------------------------------------------------------------------------------------------------ |
| Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) | has description (orkgp:P20098) | a recursive model that generaliz...STM to arbitrary tree structures (<http://orkg.org/orkg/resource/R44303>) |
| Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) | rdf:type                       | orkgc:Resource                                                                                |
| Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) | rdfs:label                     | Tree-LSTM (Tai et al., 2015) (xsd:string)                                                                    |

[Tool]
Got 3 rows and 3 columns:
| subject                                        | property   | object                  |
| ---------------------------------------------- | ---------- | ----------------------- |
| RACE (<http://orkg.org/orkg/resource/R119130>) | rdf:type   | Dataset (orkgc:Dataset) |
| RACE (<http://orkg.org/orkg/resource/R119130>) | rdfs:label | RACE (xsd:string)       |
| RACE (<http://orkg.org/orkg/resource/R119130>) | rdf:type   | orkgc:Resource          |

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 2 columns:
| eval                                                                      | score             |
| ------------------------------------------------------------------------- | ----------------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | 84.0 (xsd:string) |

[Tool]
Got 1 row and 3 columns:
| subject                                                  | property                          | object                                                                    |
| -------------------------------------------------------- | --------------------------------- | ------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) |

[Tool]
Got 7 rows and 3 columns:
| subject                                                  | property                          | object                                                                      |
| -------------------------------------------------------- | --------------------------------- | --------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>)          |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET)   | RACE (<http://orkg.org/orkg/resource/R119130>)                              |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | Benchmark (orkgc:Benchmark)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdfs:label                        | Benchmark RACE (xsd:string)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>)   |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | orkgc:Resource                                                              |

[Tool]
Got 7 rows and 3 columns:
| subject                                                  | property                          | object                                                                      |
| -------------------------------------------------------- | --------------------------------- | --------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>)          |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET)   | RACE (<http://orkg.org/orkg/resource/R119130>)                              |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | Benchmark (orkgc:Benchmark)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdfs:label                        | Benchmark RACE (xsd:string)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>)   |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | orkgc:Resource                                                              |

[Tool]
Got 7 rows and 3 columns:
| subject                                                  | property                          | object                                                                      |
| -------------------------------------------------------- | --------------------------------- | --------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>)          |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET)   | RACE (<http://orkg.org/orkg/resource/R119130>)                              |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | Benchmark (orkgc:Benchmark)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdfs:label                        | Benchmark RACE (xsd:string)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>)   |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | orkgc:Resource                                                              |

[Tool]
Got 7 rows and 3 columns:
| subject                                                  | property                          | object                                                                      |
| -------------------------------------------------------- | --------------------------------- | --------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>)          |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET)   | RACE (<http://orkg.org/orkg/resource/R119130>)                              |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | Benchmark (orkgc:Benchmark)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdfs:label                        | Benchmark RACE (xsd:string)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>)   |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | orkgc:Resource                                                              |

[Tool]
Got 7 rows and 3 columns:
| subject                                                  | property                          | object                                                                      |
| -------------------------------------------------------- | --------------------------------- | --------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>)          |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET)   | RACE (<http://orkg.org/orkg/resource/R119130>)                              |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | Benchmark (orkgc:Benchmark)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdfs:label                        | Benchmark RACE (xsd:string)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>)   |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | orkgc:Resource                                                              |

[Tool]
Got 7 rows and 3 columns:
| subject                                                  | property                          | object                                                                      |
| -------------------------------------------------------- | --------------------------------- | --------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>)          |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET)   | RACE (<http://orkg.org/orkg/resource/R119130>)                              |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | Benchmark (orkgc:Benchmark)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdfs:label                        | Benchmark RACE (xsd:string)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>)   |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | orkgc:Resource                                                              |

[Tool]
Got 5 rows and 3 columns:
| subject                                                                   | property                  | object                                                    |
| ------------------------------------------------------------------------- | ------------------------- | --------------------------------------------------------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | value (orkgp:HAS_VALUE)   | 84.0 (xsd:string)                                         |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | metric (orkgp:HAS_METRIC) | Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | Evaluation (orkgc:Evaluation)                             |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdfs:label                | Evaluation Accuracy (High)_84.0 (xsd:string)              |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | orkgc:Resource                                            |

[Tool]
Got 2 rows and 3 columns:
| subject                                                      | property             | object                                             |
| ------------------------------------------------------------ | -------------------- | -------------------------------------------------- |
| Contribution 1 (<http://orkg.org/orkg/resource/R41297>)      | model (orkgp:P20072) | SpanBERT (<http://orkg.org/orkg/resource/R41360>)  |
| Text-to-text model (<http://orkg.org/orkg/resource/R161789>) | model (orkgp:P20072) | T5 model (<http://orkg.org/orkg/resource/R161790>) |

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                                                                   | property                      | object                                                                                |
| ------------------------------------------------------------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------- |
| Text Classification (<http://orkg.org/orkg/resource/R217066>)             | Proposed model (orkgp:P59015) | HMATC:Hierarchical Multi-label Arabic text classification (HMATC) (<http://orkg.org/orkg/resource/R217067>)   |
| Text Classification (<http://orkg.org/orkg/resource/R217167>)             | Proposed model (orkgp:P59015) | XML-CNN (<http://orkg.org/orkg/resource/R218420>)                                                             |
| Multi-label Text Classification (<http://orkg.org/orkg/resource/R217182>) | Proposed model (orkgp:P59015) | Multi-level Dilated Convolution (<http://orkg.org/orkg/resource/R217196>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217159>)             | Proposed model (orkgp:P59015) | Pyramid: Label Prediction Model (<http://orkg.org/orkg/resource/R218311>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217154>)             | Proposed model (orkgp:P59015) | APLC-XLNet: Adaptive Probabilistic Label Clusters Pretrained Model (<http://orkg.org/orkg/resource/R218222>)  |
| Text Classification (<http://orkg.org/orkg/resource/R217168>)             | Proposed model (orkgp:P59015) | An aggregated feature and label ...ng label handling method (GB-AS) (<http://orkg.org/orkg/resource/R218428>) |
| Text Classification (<http://orkg.org/orkg/resource/R217597>)             | Proposed model (orkgp:P59015) | HE-AGCRCNN for large-scale multi-label text classification (<http://orkg.org/orkg/resource/R217613>)          |
| Text Classification (<http://orkg.org/orkg/resource/R217604>)             | Proposed model (orkgp:P59015) | SU4MLC:Semantic-Unit-for-Multi-label-Text-Classification (<http://orkg.org/orkg/resource/R218448>)            |
| Text Classification (<http://orkg.org/orkg/resource/R217149>)             | Proposed model (orkgp:P59015) | ML-Net, a novel end-to-end deep learning framework (<http://orkg.org/orkg/resource/R218033>)                  |
| Text Classification (<http://orkg.org/orkg/resource/R217127>)             | Proposed model (orkgp:P59015) | Hierarchical Attention-based Recurrent Neural Network (HARNN) (<http://orkg.org/orkg/resource/R217099>)       |
| ...                                                                       | ...                           | ...                                                                                |

[Tool] Got no rows and 3 columns

[Tool]
Got 5 rows and 3 columns:
| subject                                                                   | property                  | object                                                    |
| ------------------------------------------------------------------------- | ------------------------- | --------------------------------------------------------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | value (orkgp:HAS_VALUE)   | 84.0 (xsd:string)                                         |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | metric (orkgp:HAS_METRIC) | Accuracy (High) (<http://orkg.org/orkg/resource/R119133>) |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | Evaluation (orkgc:Evaluation)                             |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdfs:label                | Evaluation Accuracy (High)_84.0 (xsd:string)              |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | rdf:type                  | orkgc:Resource                                            |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                                                  | property                          | object                                                                    |
| -------------------------------------------------------- | --------------------------------- | ------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) |

[Tool]
Got 7 rows and 3 columns:
| subject                                                  | property                          | object                                                                      |
| -------------------------------------------------------- | --------------------------------- | --------------------------------------------------------------------------- |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy_85.4 (<http://orkg.org/orkg/resource/R130129>)          |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | has dataset (orkgp:HAS_DATASET)   | RACE (<http://orkg.org/orkg/resource/R119130>)                              |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | Benchmark (orkgc:Benchmark)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdfs:label                        | Benchmark RACE (xsd:string)                                                 |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>)   |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Accuracy (Middle)_88.6 (<http://orkg.org/orkg/resource/R130131>) |
| Benchmark RACE (<http://orkg.org/orkg/resource/R130128>) | rdf:type                          | orkgc:Resource                                                              |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 3 rows and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | SVM (<http://orkg.org/orkg/resource/R224782>)                         |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Random Forests (<http://orkg.org/orkg/resource/wikidata:Q22673963>)   |

[Tool]
Got 1 row and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |

[Tool]
Got 3 rows and 3 columns:
| subject                                                               | property                       | object                                                                                |
| --------------------------------------------------------------------- | ------------------------------ | ------------------------------------------------------------------------------------------------------------ |
| Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) | has description (orkgp:P20098) | a recursive model that generaliz...STM to arbitrary tree structures (<http://orkg.org/orkg/resource/R44303>) |
| Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) | rdf:type                       | orkgc:Resource                                                                                |
| Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) | rdfs:label                     | Tree-LSTM (Tai et al., 2015) (xsd:string)                                                                    |

[Tool] Got no rows and 3 columns

[Tool]
Got 109 rows and 3 columns, showing the first 10 rows below:
| subject                                                  | property                    | object                                                                           |
| -------------------------------------------------------- | --------------------------- | -------------------------------------------------------------------------------- |
| RNTN (<http://orkg.org/orkg/resource/R150015>)           | Dataset used (orkgp:P25063) | SST (<http://orkg.org/orkg/resource/R150016>)                                    |
| Contribution 1 (<http://orkg.org/orkg/resource/R196336>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R123177>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R196658>) | Dataset used (orkgp:P25063) | COVID-19 Fake News Dataset (<http://orkg.org/orkg/resource/R196473>)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46612>)  | Dataset used (orkgp:P25063) | 4800 English, 870 German, and 15...les are collected from Wikipedia (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46562>)  | Dataset used (orkgp:P25063) | Dataset is collected from GENIA ...gainst AIMed and GENETAG dataset (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46474>)  | Dataset used (orkgp:P25063) | Annotated corpora is collected from the ACE and the ATB (xsd:string)             |
| Contribution 1 (<http://orkg.org/orkg/resource/R46476>)  | Dataset used (orkgp:P25063) | 2262 documents from Becker Riaz ...s containing short new sarticles (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46478>)  | Dataset used (orkgp:P25063) | 50 Punjabi news documents (xsd:string)                                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R46480>)  | Dataset used (orkgp:P25063) | Two datasets consisting of 12,03...s are collected from BBC website (xsd:string) |
| Contribution 1 (<http://orkg.org/orkg/resource/R46482>)  | Dataset used (orkgp:P25063) | User-generated web-based corpus ...orums, product review sites etc. (xsd:string) |
| ...                                                      | ...                         | ...                                                                              |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                                                                   | property                      | object                                                                                |
| ------------------------------------------------------------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------- |
| Text Classification (<http://orkg.org/orkg/resource/R217066>)             | Proposed model (orkgp:P59015) | HMATC:Hierarchical Multi-label Arabic text classification (HMATC) (<http://orkg.org/orkg/resource/R217067>)   |
| Text Classification (<http://orkg.org/orkg/resource/R217167>)             | Proposed model (orkgp:P59015) | XML-CNN (<http://orkg.org/orkg/resource/R218420>)                                                             |
| Multi-label Text Classification (<http://orkg.org/orkg/resource/R217182>) | Proposed model (orkgp:P59015) | Multi-level Dilated Convolution (<http://orkg.org/orkg/resource/R217196>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217159>)             | Proposed model (orkgp:P59015) | Pyramid: Label Prediction Model (<http://orkg.org/orkg/resource/R218311>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217154>)             | Proposed model (orkgp:P59015) | APLC-XLNet: Adaptive Probabilistic Label Clusters Pretrained Model (<http://orkg.org/orkg/resource/R218222>)  |
| Text Classification (<http://orkg.org/orkg/resource/R217168>)             | Proposed model (orkgp:P59015) | An aggregated feature and label ...ng label handling method (GB-AS) (<http://orkg.org/orkg/resource/R218428>) |
| Text Classification (<http://orkg.org/orkg/resource/R217597>)             | Proposed model (orkgp:P59015) | HE-AGCRCNN for large-scale multi-label text classification (<http://orkg.org/orkg/resource/R217613>)          |
| Text Classification (<http://orkg.org/orkg/resource/R217604>)             | Proposed model (orkgp:P59015) | SU4MLC:Semantic-Unit-for-Multi-label-Text-Classification (<http://orkg.org/orkg/resource/R218448>)            |
| Text Classification (<http://orkg.org/orkg/resource/R217149>)             | Proposed model (orkgp:P59015) | ML-Net, a novel end-to-end deep learning framework (<http://orkg.org/orkg/resource/R218033>)                  |
| Text Classification (<http://orkg.org/orkg/resource/R217127>)             | Proposed model (orkgp:P59015) | Hierarchical Attention-based Recurrent Neural Network (HARNN) (<http://orkg.org/orkg/resource/R217099>)       |
| ...                                                                       | ...                           | ...                                                                                |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                                                                   | property                      | object                                                                                |
| ------------------------------------------------------------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------- |
| Text Classification (<http://orkg.org/orkg/resource/R217066>)             | Proposed model (orkgp:P59015) | HMATC:Hierarchical Multi-label Arabic text classification (HMATC) (<http://orkg.org/orkg/resource/R217067>)   |
| Text Classification (<http://orkg.org/orkg/resource/R217167>)             | Proposed model (orkgp:P59015) | XML-CNN (<http://orkg.org/orkg/resource/R218420>)                                                             |
| Multi-label Text Classification (<http://orkg.org/orkg/resource/R217182>) | Proposed model (orkgp:P59015) | Multi-level Dilated Convolution (<http://orkg.org/orkg/resource/R217196>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217159>)             | Proposed model (orkgp:P59015) | Pyramid: Label Prediction Model (<http://orkg.org/orkg/resource/R218311>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217154>)             | Proposed model (orkgp:P59015) | APLC-XLNet: Adaptive Probabilistic Label Clusters Pretrained Model (<http://orkg.org/orkg/resource/R218222>)  |
| Text Classification (<http://orkg.org/orkg/resource/R217168>)             | Proposed model (orkgp:P59015) | An aggregated feature and label ...ng label handling method (GB-AS) (<http://orkg.org/orkg/resource/R218428>) |
| Text Classification (<http://orkg.org/orkg/resource/R217597>)             | Proposed model (orkgp:P59015) | HE-AGCRCNN for large-scale multi-label text classification (<http://orkg.org/orkg/resource/R217613>)          |
| Text Classification (<http://orkg.org/orkg/resource/R217604>)             | Proposed model (orkgp:P59015) | SU4MLC:Semantic-Unit-for-Multi-label-Text-Classification (<http://orkg.org/orkg/resource/R218448>)            |
| Text Classification (<http://orkg.org/orkg/resource/R217149>)             | Proposed model (orkgp:P59015) | ML-Net, a novel end-to-end deep learning framework (<http://orkg.org/orkg/resource/R218033>)                  |
| Text Classification (<http://orkg.org/orkg/resource/R217127>)             | Proposed model (orkgp:P59015) | Hierarchical Attention-based Recurrent Neural Network (HARNN) (<http://orkg.org/orkg/resource/R217099>)       |
| ...                                                                       | ...                           | ...                                                                                |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 2 rows and 3 columns:
| subject                                                      | property             | object                                             |
| ------------------------------------------------------------ | -------------------- | -------------------------------------------------- |
| Contribution 1 (<http://orkg.org/orkg/resource/R41297>)      | model (orkgp:P20072) | SpanBERT (<http://orkg.org/orkg/resource/R41360>)  |
| Text-to-text model (<http://orkg.org/orkg/resource/R161789>) | model (orkgp:P20072) | T5 model (<http://orkg.org/orkg/resource/R161790>) |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 3 rows and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | SVM (<http://orkg.org/orkg/resource/R224782>)                         |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Random Forests (<http://orkg.org/orkg/resource/wikidata:Q22673963>)   |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 3 rows and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | SVM (<http://orkg.org/orkg/resource/R224782>)                         |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Random Forests (<http://orkg.org/orkg/resource/wikidata:Q22673963>)   |

[Tool]
Got 1 row and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |

[Tool]
Got 5 rows and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Random Forests (<http://orkg.org/orkg/resource/wikidata:Q22673963>)   |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | rdf:type              | orkgc:Resource                                                        |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | rdfs:label            | Accuracy score (xsd:string)                                           |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | SVM (<http://orkg.org/orkg/resource/R224782>)                         |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                                                                   | property                      | object                                                                                |
| ------------------------------------------------------------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------- |
| Text Classification (<http://orkg.org/orkg/resource/R217066>)             | Proposed model (orkgp:P59015) | HMATC:Hierarchical Multi-label Arabic text classification (HMATC) (<http://orkg.org/orkg/resource/R217067>)   |
| Text Classification (<http://orkg.org/orkg/resource/R217167>)             | Proposed model (orkgp:P59015) | XML-CNN (<http://orkg.org/orkg/resource/R218420>)                                                             |
| Multi-label Text Classification (<http://orkg.org/orkg/resource/R217182>) | Proposed model (orkgp:P59015) | Multi-level Dilated Convolution (<http://orkg.org/orkg/resource/R217196>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217159>)             | Proposed model (orkgp:P59015) | Pyramid: Label Prediction Model (<http://orkg.org/orkg/resource/R218311>)                                     |
| Text Classification (<http://orkg.org/orkg/resource/R217154>)             | Proposed model (orkgp:P59015) | APLC-XLNet: Adaptive Probabilistic Label Clusters Pretrained Model (<http://orkg.org/orkg/resource/R218222>)  |
| Text Classification (<http://orkg.org/orkg/resource/R217168>)             | Proposed model (orkgp:P59015) | An aggregated feature and label ...ng label handling method (GB-AS) (<http://orkg.org/orkg/resource/R218428>) |
| Text Classification (<http://orkg.org/orkg/resource/R217597>)             | Proposed model (orkgp:P59015) | HE-AGCRCNN for large-scale multi-label text classification (<http://orkg.org/orkg/resource/R217613>)          |
| Text Classification (<http://orkg.org/orkg/resource/R217604>)             | Proposed model (orkgp:P59015) | SU4MLC:Semantic-Unit-for-Multi-label-Text-Classification (<http://orkg.org/orkg/resource/R218448>)            |
| Text Classification (<http://orkg.org/orkg/resource/R217149>)             | Proposed model (orkgp:P59015) | ML-Net, a novel end-to-end deep learning framework (<http://orkg.org/orkg/resource/R218033>)                  |
| Text Classification (<http://orkg.org/orkg/resource/R217127>)             | Proposed model (orkgp:P59015) | Hierarchical Attention-based Recurrent Neural Network (HARNN) (<http://orkg.org/orkg/resource/R217099>)       |
| ...                                                                       | ...                           | ...                                                                                |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 2 rows and 3 columns:
| subject                                                      | property             | object                                             |
| ------------------------------------------------------------ | -------------------- | -------------------------------------------------- |
| Contribution 1 (<http://orkg.org/orkg/resource/R41297>)      | model (orkgp:P20072) | SpanBERT (<http://orkg.org/orkg/resource/R41360>)  |
| Text-to-text model (<http://orkg.org/orkg/resource/R161789>) | model (orkgp:P20072) | T5 model (<http://orkg.org/orkg/resource/R161790>) |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 3 rows and 3 columns:
| subject                                                  | property              | object                                                                |
| -------------------------------------------------------- | --------------------- | --------------------------------------------------------------------- |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | SVM (<http://orkg.org/orkg/resource/R224782>)                         |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Tree-LSTM (Tai et al., 2015) (<http://orkg.org/orkg/resource/R44302>) |
| Accuracy score (<http://orkg.org/orkg/resource/R224781>) | models (orkgp:P71209) | Random Forests (<http://orkg.org/orkg/resource/wikidata:Q22673963>)   |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant]
After a thorough exploration, here is my reasoning and answer:

**Thought process:**
- The RACE dataset is identified as <http://orkg.org/orkg/resource/R119130>.
- The metric "Accuracy (High)" is <http://orkg.org/orkg/resource/R119133>.
- The benchmark entity for RACE is <http://orkg.org/orkg/resource/R130128>.
- The evaluation with the highest "Accuracy (High)" score is <http://orkg.org/orkg/resource/R130130> with a value of 84.0.
- However, there is no direct link in the knowledge graph from this evaluation or benchmark to a specific model entity. The model name is not explicitly stated in the available data for this evaluation.

**Conclusion:**
- The top "Accuracy (High)" score for RACE is 84.0, but the model name is not explicitly available in the ORKG data for this evaluation.

**SPARQL query that finds the top score and its evaluation:**

```sparql
SELECT ?eval ?score WHERE {
  ?benchmark orkgp:HAS_DATASET <http://orkg.org/orkg/resource/R119130> .
  ?benchmark orkgp:HAS_EVALUATION ?eval .
  ?eval orkgp:HAS_VALUE ?score .
  ?eval orkgp:HAS_METRIC <http://orkg.org/orkg/resource/R119133> .
} ORDER BY DESC(xsd:float(?score)) LIMIT 1
```

**Answer:**
The top performing model's name is not explicitly available in the ORKG for the highest "Accuracy (High)" score (84.0) on the RACE dataset. The evaluation with this score is <http://orkg.org/orkg/resource/R130130>, but no model is linked to it in the data.

[User]
Feedback (status=refine):
The answer correctly identifies that the top score for Accuracy (High) on the RACE dataset is 84.0 and that the model name is not explicitly linked in the available data. However, the SPARQL query only retrieves the evaluation and score, not any potential model information. It is possible that the model entity is linked to the evaluation via another property (e.g., orkgp:HAS_MODEL, orkgp:HAS_SYSTEM, or similar). The query should be refined to attempt to retrieve any model or system entity associated with the evaluation, even if it is optional. This would ensure that if the model is present in the data, it is returned. If not, the answer can then confidently state that the model is not available.

[Assistant]
Thank you for the feedback. I agree that the query should be refined to attempt to retrieve any model or system entity associated with the evaluation, using possible properties such as orkgp:HAS_MODEL, orkgp:HAS_SYSTEM, or similar. If a model is present, it should be returned; otherwise, we can confidently state that the model is not available.

Step-by-step plan:
1. Identify likely properties for linking an evaluation to a model or system (e.g., orkgp:HAS_MODEL, orkgp:HAS_SYSTEM, orkgp:P20072, orkgp:P59015, etc.).
2. Refine the SPARQL query to optionally retrieve any model or system entity associated with the evaluation.
3. Return the evaluation, score, and any model/system found.

First, let's check which properties are likely to be used for linking models/systems to evaluations.

[Tool]
Top 10 property alternatives:
1. System (orkgp:P59005)
2. System (orkgp:P15071)
3. Type of system (orkgp:P74001)
4. has system characteristics (orkgp:P41860)
5. sub system (orkgp:P5048)
6. system information (orkgp:P59051)
7. property of the system (orkgp:P97210)
8. System model (orkgp:P15192)
9. has system qualities (orkgp:P43078)
10. system module (orkgp:P97136)

[Tool]
Top 10 property alternatives:
1. has model (orkgp:hasModel)
2. Has model (orkgp:P9018)
3. has model (orkgp:HAS_MODEL)
4. has cost model (orkgp:P57047)
5. has model class (orkgp:P39023)
6. has (orkgp:P18055)
7. has (orkgp:P18022)
8. Has (orkgp:P18071)
9. Has concept (orkgp:P67109)
10. has version (orkgp:P7112)

[Tool]
Top 10 property alternatives:
1. model (orkgp:P20072)
2. model (orkgp:P1004)
3. models (orkgp:P71209)
4. Models (orkgp:P43024)
5. model type (orkgp:P71176)
6. Proposed model (orkgp:P59015)
7. Mathematical model (orkgp:P41907)
8. has model (orkgp:hasModel)
9. Has model (orkgp:P9018)
10. has model (orkgp:HAS_MODEL)

[Assistant]
Based on the property search, the following properties are likely candidates for linking an evaluation to a model or system:
- orkgp:P20072 (model)
- orkgp:P59015 (Proposed model)
- orkgp:hasModel
- orkgp:P9018 (Has model)
- orkgp:HAS_MODEL (has model)
- orkgp:P59005 (System)
- orkgp:P15071 (System)
- orkgp:P71209 (models)

I will now write a SPARQL query that:
- Retrieves the top evaluation for Accuracy (High) on the RACE dataset.
- Optionally retrieves any model or system entity associated with the evaluation via any of the above properties.
- Returns the evaluation, score, and any model/system (with label if available).

Here is the refined SPARQL query:

```sparql
SELECT ?eval ?score ?model ?modelLabel WHERE {
  ?benchmark orkgp:HAS_DATASET <http://orkg.org/orkg/resource/R119130> .
  ?benchmark orkgp:HAS_EVALUATION ?eval .
  ?eval orkgp:HAS_VALUE ?score .
  ?eval orkgp:HAS_METRIC <http://orkg.org/orkg/resource/R119133> .
  OPTIONAL {
    ?eval ?modelProp ?model .
    FILTER(?modelProp IN (
      orkgp:P20072, orkgp:P59015, orkgp:hasModel, orkgp:P9018, orkgp:HAS_MODEL,
      orkgp:P59005, orkgp:P15071, orkgp:P71209
    ))
    OPTIONAL { ?model rdfs:label ?modelLabel }
  }
}
ORDER BY DESC(xsd:float(?score))
LIMIT 1
```

I will now execute this query to see if any model/system is linked.

[Tool]
Got 1 row and 4 columns:
| eval                                                                      | score             | model | modelLabel |
| ------------------------------------------------------------------------- | ----------------- | ----- | ---------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | 84.0 (xsd:string) |       |            |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies the top Accuracy (High) score for the RACE dataset and attempts to retrieve the associated model. However, the result does not include a model or its label, indicating that the linkage between the evaluation and the model is either missing or not captured by the current set of properties. The query could be refined by exploring additional or alternative paths between evaluations and models, or by checking if the model is linked at the benchmark level rather than the evaluation. Additionally, the query should ensure that it always returns the model's IRI (even if missing, it should be clear in the output) and that labels are only retrieved optionally. The current query is close, but further refinement is needed to try to retrieve the model entity if it exists.

[Assistant]
Thank you for the feedback. To further refine the query, I will:

1. Explore if the model is linked at the benchmark level (not just the evaluation).
2. Consider that the model might be linked via the benchmark using similar properties (e.g., orkgp:P20072, orkgp:P59015, orkgp:hasModel, orkgp:P9018, orkgp:HAS_MODEL, orkgp:P59005, orkgp:P15071, orkgp:P71209).
3. Ensure that the model IRI is always included in the output, with the label as an optional field.

Here is my plan:
- Retrieve the top evaluation for Accuracy (High) on RACE.
- Try to retrieve a model linked to the evaluation (as before).
- If not found, try to retrieve a model linked to the benchmark.
- Always return the model IRI (even if missing), and the label optionally.

Here is the refined SPARQL query:

```sparql
SELECT ?eval ?score ?model ?modelLabel WHERE {
  ?benchmark orkgp:HAS_DATASET <http://orkg.org/orkg/resource/R119130> .
  ?benchmark orkgp:HAS_EVALUATION ?eval .
  ?eval orkgp:HAS_VALUE ?score .
  ?eval orkgp:HAS_METRIC <http://orkg.org/orkg/resource/R119133> .
  OPTIONAL {
    ?eval ?modelProp1 ?model .
    FILTER(?modelProp1 IN (
      orkgp:P20072, orkgp:P59015, orkgp:hasModel, orkgp:P9018, orkgp:HAS_MODEL,
      orkgp:P59005, orkgp:P15071, orkgp:P71209
    ))
  }
  OPTIONAL {
    ?benchmark ?modelProp2 ?model .
    FILTER(?modelProp2 IN (
      orkgp:P20072, orkgp:P59015, orkgp:hasModel, orkgp:P9018, orkgp:HAS_MODEL,
      orkgp:P59005, orkgp:P15071, orkgp:P71209
    ))
  }
  OPTIONAL { ?model rdfs:label ?modelLabel }
}
ORDER BY DESC(xsd:float(?score))
LIMIT 1
```

I will now execute this refined query.

[Tool]
Got 1 row and 4 columns:
| eval                                                                      | score             | model                                              | modelLabel            |
| ------------------------------------------------------------------------- | ----------------- | -------------------------------------------------- | --------------------- |
| Evaluation Accuracy (High)_84.0 (<http://orkg.org/orkg/resource/R130130>) | 84.0 (xsd:string) | Mushroom (<http://orkg.org/orkg/resource/R128226>) | Mushroom (xsd:string) |

[Tool] Stopped generation process