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@@ -18,18 +18,6 @@ size_categories:
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  - 10K<n<100K
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  ---
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- If questions or comments, please contact [email protected], [email protected], [email protected] or [email protected]
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- For background on this dataset, please check https://arxiv.org/abs/2405.20163 Also to be published in COLM 2024,
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- @inproceedings{Uceda_2024_1, <br/>
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- &ensp; title={Reasoning about concepts with LLMs: Inconsistencies abound}, <br/>
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- &ensp; author={Rosario Uceda Sosa and Karthikeyan Natesan Ramamurthy and Maria Chang and Moninder Singh}, <br/>
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- &ensp; booktitle={Proc.\ 1st Conference on Language Modeling (COLM 24)}, <br/>
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- &ensp; year={2024} <br/>
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- }
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  ## What it is:
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  Each dataset in this delivery is made up of query clusters that test an aspect of the consistency of the LLM knowledge about a particular domain. All the questions in each
@@ -120,3 +108,14 @@ The size and configuration of the datasets is listed below
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  | Music genres | 490 | 807 | 488 | 212 | 139 |
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  | Natural disasters | 45 | 225 | 44 | 21 | 22 |
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  | Software | 80 | 572 | 79 | 114 | 4 |
 
 
 
 
 
 
 
 
 
 
 
 
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  - 10K<n<100K
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  ---
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  ## What it is:
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  Each dataset in this delivery is made up of query clusters that test an aspect of the consistency of the LLM knowledge about a particular domain. All the questions in each
 
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  | Music genres | 490 | 807 | 488 | 212 | 139 |
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  | Natural disasters | 45 | 225 | 44 | 21 | 22 |
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  | Software | 80 | 572 | 79 | 114 | 4 |
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+
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+ If questions or comments, please contact [email protected], [email protected], [email protected] or [email protected]
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+
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+ For background on this dataset, please check https://arxiv.org/abs/2405.20163
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+ To cite this dataset, use:
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+ @inproceedings{Uceda_2024_1, <br/>
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+ &ensp; title={Reasoning about concepts with LLMs: Inconsistencies abound}, <br/>
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+ &ensp; author={Rosario Uceda Sosa and Karthikeyan Natesan Ramamurthy and Maria Chang and Moninder Singh}, <br/>
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+ &ensp; booktitle={Proc.\ 1st Conference on Language Modeling (COLM 24)}, <br/>
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+ &ensp; year={2024} <br/>
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+ }