Datasets:
Formats:
csv
Languages:
English
Size:
< 1K
ArXiv:
Tags:
benchmark
llm-evaluation
large-language-models
large-language-model
large-multimodal-models
llm-training
DOI:
License:
Update README.md
Browse files
README.md
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@@ -66,8 +66,10 @@ df = pd.read_csv("hf://datasets/cmudrc/Material_Selection_Eval/AllResponses.csv"
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Replace AllResponses with CleanResponses and KeyQuestions in the pathname if required.
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# Citation
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If you found the dataset useful, please cite:
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@misc{jain2024msevaldatasetmaterialselection,
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title={MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models},
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author={Yash Patawari Jain and Daniele Grandi and Allin Groom and Brandon Cramer and Christopher McComb},
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url={https://arxiv.org/abs/2407.09719},
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}
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```
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license: mit
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---
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Replace AllResponses with CleanResponses and KeyQuestions in the pathname if required.
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# Citation
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If you found the dataset useful, please cite:
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```bibtex
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@misc{jain2024msevaldatasetmaterialselection,
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title={MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models},
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author={Yash Patawari Jain and Daniele Grandi and Allin Groom and Brandon Cramer and Christopher McComb},
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url={https://arxiv.org/abs/2407.09719},
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}
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```
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license: mit
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---
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