Datasets:

Sefika
/

FewRel_Inverse_Relations

Tasks:

Text Classification

Text Generation

Modalities:

Languages:

Size:

Tags:

relation-extraction

dataset-robustness

inverse-relations

DOI:

License:

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 # Reversing Arrows: A Benchmark Dataset for Inverse Relation Directionality in LLMs
 This dataset is designed to evaluate the robustness of Relation Extraction (RE) models, with a specific focus on **Inverse Relations** and entity substitution. It is derived from  **FewRel**.
-The croissant metadata is available on [https://huggingface.co/datasets/Sefika/FewRel_Inverse_Relations/blob/main/metadata.txt]
 ## Dataset Summary
 The primary goal of this dataset is to test whether models can recognize a relationship regardless of the direction or the surface form of the entities. It includes:

 # Reversing Arrows: A Benchmark Dataset for Inverse Relation Directionality in LLMs
 This dataset is designed to evaluate the robustness of Relation Extraction (RE) models, with a specific focus on **Inverse Relations** and entity substitution. It is derived from  **FewRel**.
+The croissant metadata is available on [croissant](https://huggingface.co/datasets/Sefika/FewRel_Inverse_Relations/blob/main/metadata.txt)
 ## Dataset Summary
 The primary goal of this dataset is to test whether models can recognize a relationship regardless of the direction or the surface form of the entities. It includes: