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Solve issues #229 , #230 , #231 and #233 #263

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5b643af
Update WebQuestionsSP.md
junbohuang Jun 12, 2024
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Update ComplexWebQuestions.md
junbohuang Jun 12, 2024
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Update WebQuestionsSP.md
junbohuang Jun 12, 2024
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Update QALD-7.md
junbohuang Jun 12, 2024
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Update CronQuestions.md
junbohuang Jun 12, 2024
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Update TimeQuestions - Explicit.md
junbohuang Jun 12, 2024
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Update TimeQuestions - Explicit.md
junbohuang Jun 12, 2024
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Update TimeQuestions - Implicit.md
junbohuang Jun 12, 2024
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Update TimeQuestions - Ordinal.md
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Update TimeQuestions - Temporal Answer.md
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Update TimeQuestions - Overall.md
junbohuang Jun 12, 2024
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#229
junbohuang Jun 13, 2024
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:bug: added to systems updated and added dataset to frontend
junbohuang Jun 24, 2024
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1 change: 1 addition & 0 deletions dbpedia/QALD-7.md
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| Qanary(TM+DP+QB) | 2021 | - | - | 6 | - | EN | [Orogat et al.](https://arxiv.org/pdf/2105.00811.pdf) |
| Entity Type Tags Modified |2022| - | - | - | 76.69 | EN | [Lin and Lu](https://journals.riverpublishers.com/index.php/JWE/article/view/11463/14671) |
| SPARQL Generator |2022| - | - | - | 60.74 | EN | [Lin and Lu](https://journals.riverpublishers.com/index.php/JWE/article/view/11463/14671) |
| KGQA^{PT} | 2024 | 79.4 | 28.5 | 41.9 | - | PT | [Miranda et al.](https://aclanthology.org/2024.propor-1.6.pdf) |
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| TransferNet | 2022 | - | 48.6 | - | EN | [Costas Mavromatis and George Karypis](https://arxiv.org/pdf/2210.13650.pdf) |
| PullNet | 2022 | - | 45.9 | - | EN | [Costas Mavromatis and George Karypis](https://arxiv.org/pdf/2210.13650.pdf) |
| MRP-QA-marginal_prob | 2022 | 49.9 | - | - | EN | [Wang et al.](https://aclanthology.org/2022.naacl-main.294.pdf) |
| QRGAT | 2024 | 49.7 | 52.4 | - | EN | [Zhang et al.](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10472080) |
| ProgramTransfer-f | 2022 | 45.9 | 45.2 | - | EN | [Cao et al.](https://aclanthology.org/2022.acl-long.559.pdf) |
| KBIGER | 2022 | 45.5 | 50.2 | - | EN | [Du et al.](https://arxiv.org/pdf/2209.03005.pdf) |
| TERP | 2022 | - | 49.2 | - | EN | [Qiao et al.](https://aclanthology.org/2022.coling-1.156.pdf) |
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---

| Model / System | Year | F1 | Hits@1 | Accuracy | Language | Reported by |
| :---------------------------------: | :--: | :--------: | :--------: | :------: | :------: | :-----------------------------------------------------------------------------------: |
|:-----------------------------------:| :--: | :--------: | :--------: | :------: | :------: | :-----------------------------------------------------------------------------------: |
| chatGPT | 2023 | - | - | 83.70 | EN | [Tan et al.](https://arxiv.org/pdf/2303.07992.pdf) |
| TIARA | 2022 | 78.9 | 75.2 | - | EN | [Shu et. al.](https://aclanthology.org/2022.emnlp-main.555.pdf) |
| DECAF (DPR + FiD-3B) | 2022 | 78.8 | 82.1 | - | EN | [Yu et al.](https://arxiv.org/pdf/2210.00063.pdf) |
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| SQALER | 2022 | - | 70.6 | - | EN | [Costas Mavromatis and George Karypis](https://arxiv.org/pdf/2210.13650.pdf) |
| STAGG | 2015 | 69.00 | - | - | EN | [Ma L et al.](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9747229) |
| UHop | 2019 | 68.5 | - | - | EN | [Ma L et al.](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9747229) |
| QRGAT | 2024 | 68.5 | 74.4 | - | EN | [Zhang et al.](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10472080) |
| KBIGER | 2022 | 68.4 | 75.3 | - | EN | [Du et al.](https://arxiv.org/pdf/2209.03005.pdf) |
| NSM | 2022 | - | 69.0 | - | EN | [Cao et al.](https://aclanthology.org/2022.acl-long.559.pdf) |
| GraftNet-EF+LF | 2018 | - | 68.7 | - | EN | [Sun et al.](https://aclanthology.org/D18-1455.pdf) |
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/datasets/other/WC2014QA - 2 Hop
/datasets/other/WC2014QA - Total
/datasets/other/Spider4SPARQL
/datasets/other/STQAD
/systems/
16 changes: 16 additions & 0 deletions other/STQAD.md
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---
name: STQAD
datasetUrl: NA
---

| Model / System | Year | Hits@1 | Hits@3 |Hits@10 | Language | Reported by |
|:--------------------------:|:----:|:------:|:------:|:------:|:--------:|:----------------------------------------------------------------------------:|
| BERT | 2024 | 39.10 | 53.70 |66.87 | EN | [Dai et al.](https://arxiv.org/pdf/2402.11542) |
| RoBERTa | 2024 |32.37| 46.77 | 60.83 | EN | [Dai et al.](https://arxiv.org/pdf/2402.11542) |
| EmbedKGQA | 2024 |38.00 | 53.03 |56.00 | EN | [Dai et al.](https://arxiv.org/pdf/2402.11542) |
| CronKGQA | 2024 |34.60| 49.33 |62.17 | EN | [Dai et al.](https://arxiv.org/pdf/2402.11542) |
| TempoQR | 2024 | 54.97 | 66.03 |76.23 | EN | [Dai et al.](https://arxiv.org/pdf/2402.11542) |
| SubGTR | 2024 | 58.23 | 68.73 |78.50 | EN | [Dai et al.](https://arxiv.org/pdf/2402.11542) |
| STCQA | 2024 |61.63 |76.67 |84.17 | EN | [Dai et al.](https://arxiv.org/pdf/2402.11542) |


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# STQAD

**STQAD**<sup>[[1]](#myfootnote1)</sup> is a dataset comprising 10,000 natural language questions for spatio-temporal
knowledge graph question answering (STKGQA), utilizing YAGO2<sup>[[2]](#myfootnote2)</sup> as the underlying STKG.
STQAD consists of 10,000 questions specifically designed for the STKGQA task. This is the first comprehensive STKGQA
dataset that encompasses spatial and temporal constraints in each question.

## References
<a name="myfootnote1">[1]</a> Xinbang Dai, Huiying Li, Guilin Qi:
[Question Answering Over Spatio-Temporal Knowledge Graph](https://arxiv.org/pdf/2402.11542). CoRR abs/2402.11542 (2024)

<a name="myfootnote2">[2]</a> Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Gerhard Weikum:
[YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia](https://resources.mpi-inf.mpg.de/yago-naga/yago/publications/aij.pdf). Artif. Intell. 194: 28-61 (2013)
286 changes: 145 additions & 141 deletions systems_updated.md
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1 change: 1 addition & 0 deletions wikidata/CronQuestions.md
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| Model / System | Year | Hits@1 | Hits@10 | Reported by |
| :------------: | :--: | :----: | :-----: | :---------------------------------------------------------------------------: |
| QC-MHM | 2024 | 0.971 | 0.992 | [Xue et. al.](https://arxiv.org/html/2402.13188v1#Sx5) |
| TempoQR-Hard | 2021 | 0.918 | 0.978 | [Mavromatis et. al.](https://arxiv.org/pdf/2112.05785.pdf) |
| TempoQR-Soft | 2021 | 0.799 | 0.957 | [Mavromatis et. al.](https://arxiv.org/pdf/2112.05785.pdf) |
| TMA | 2021 | 0.784 | 0.943 | [Liu et. al.](https://arxiv.org/pdf/2302.12529.pdf) |
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3 changes: 2 additions & 1 deletion wikidata/TimeQuestions - Explicit.md
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|:--------------:|:----:|:-----------:|:------:|:-------:|:-------:|:------------------------------------------------------:|
| TwiRGCN (average) | 2022 | - | - | - | 0.602 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| EXAQT | 2022 | - | - | - | 0.568 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| QC-MHM | 2024 | - | - | - | 0.533 |[Xue et. al.](https://arxiv.org/html/2402.13188v1#Sx5) |
| CronKGQA | 2022 | - | - | - | 0.466 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| TempoQR | 2022 | - | - | - | 0.465 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| Graft-Net | 2022 | - | - | - | 0.445 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
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| EXAQT | 2021 | 0.568 | 0.594 | 0.636 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| Graft-Net | 2021 | 0.445 | 0.478 | 0.531 | - |[Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| UNIQORN | 2021 | 0.318 | 0.406 | 0.536 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.105 | 0.136 | 0.186 | - |[Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.105 | 0.136 | 0.186 | - |[Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
3 changes: 2 additions & 1 deletion wikidata/TimeQuestions - Implicit.md
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|:--------------:|:----:|:-----------:|:------:|:-------:|:-------:|:------------------------------------------------------:|
| TwiRGCN (interval) | 2022 | - | - | - | 0.603 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| EXAQT | 2022 | - | - | - | 0.512 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| QC-MHM | 2024 | - | - | - | 0.508 |[Xue et. al.](https://arxiv.org/html/2402.13188v1#Sx5) |
| CronKGQA | 2022 | - | - | - | 0.445 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| Graft-Net | 2022 | - | - | - | 0.428 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| TempoQR | 2022 | - | - | - | 0.36 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
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| EXAQT | 2021 | 0.508 | 0.567 | 0.633 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| Graft-Net | 2021 | 0.428 | 0.465 | 0.525 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| UNIQORN | 2021 | 0.316 | 0.415 | 0.545 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.081 | 0.123 | 0.192 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.081 | 0.123 | 0.192 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
3 changes: 2 additions & 1 deletion wikidata/TimeQuestions - Ordinal.md
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|:--------------:|:----:|:-----------:|:------:|:-------:|:-------:|:------------------------------------------------------:|
| TwiRGCN (average) | 2022 | - | - | - | 0.518 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| EXAQT | 2022 | - | - | - | 0.42 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| QC-MHM | 2024 | - | - | - | 0.401 |[Xue et. al.](https://arxiv.org/html/2402.13188v1#Sx5) |
| CronKGQA | 2022 | - | - | - | 0.369 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| TempoQR | 2022 | - | - | - |0.349 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| Graft-Net | 2022 | - | - | - | 0.322 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
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| EXAQT | 2021 | 0.420 | 0.432 | 0.508 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| Graft-Net | 2021 | 0.322 | 0.313 | 0.371 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| UNIQORN | 2021 | 0.202 | 0.236 | 0.356 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.029 | 0.049 | 0.083 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.029 | 0.049 | 0.083 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
3 changes: 2 additions & 1 deletion wikidata/TimeQuestions - Overall.md
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|:--------------:|:----:|:-----------:|:------:|:-------:|:-------:|:------------------------------------------------------:|
| TwiRGCN | 2022 | - | - | - | 0.605 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| EXAQT | 2022 | - | - | - | 0.572 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| QC-MHM | 2024 | - | - | - | 0.531 |[Xue et. al.](https://arxiv.org/html/2402.13188v1#Sx5) |
| CronKGQA | 2022 | - | - | - | 0.462 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| Graft-Net | 2022 | - | - | - | 0.452 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| TempoQR | 2022 | - | - | - | 0.416 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
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| EXAQT | 2021 | 0.565 | 0.599 | 0.664 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| Graft-Net | 2021 | 0.452 | 0.485 | 0.554 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| UNIQORN | 2021 | 0.331 | 0.409 | 0.538 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.105 | 0.136 | 0.186 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.105 | 0.136 | 0.186 | - | [Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
3 changes: 2 additions & 1 deletion wikidata/TimeQuestions - Temporal Answer.md
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|:--------------:|:----:|:-----------:|:------:|:-------:|:-------:|:------------------------------------------------------:|
| TwiRGCN (interval) | 2022 | - | - | - | 0.646 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| EXAQT | 2022 | - | - | - | 0.642 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| QC-MHM | 2024 | - | - | - | 0.607 |[Xue et. al.](https://arxiv.org/html/2402.13188v1#Sx5) |
| Graft-Net | 2022 | - | - | - | 0.515 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| CronKGQA | 2022 | - | - | - | 0.511 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
| TempoQR | 2022 | - | - | - | 0.4 | [Sharma et. al.](https://arxiv.org/pdf/2210.06281.pdf) |
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| EXAQT | 2021 | 0.623 | 0.672 | 0.756 | - |[Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| Graft-Net | 2021 | 0.515 | 0.568 | 0.660 | - |[Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| UNIQORN | 2021 | 0.392 | 0.472 | 0.597 | - |[Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.234 | 0.277 | 0.349 | - |[Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |
| PullNet | 2021 | 0.234 | 0.277 | 0.349 | - |[Jia et. al.](https://dl.acm.org/doi/abs/10.1145/3459637.3482416) |