Update README.md

README.md

@@ -17,11 +17,11 @@ tags:
 
 # Relation Extraction for Inverse Relations
 
-This dataset is designed to evaluate the robustness of Relation Extraction (RE) models, specifically focusing on **Inverse Relations** and entity substitution. It is derived from the **FewRel** and **TekGen** benchmarks.
+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 the **FewRel** and **TekGen** benchmarks (from Text2Bench).
 
 ## Dataset Summary
 
-The primary goal of this dataset is to test if models can recognize a relationship regardless of the direction or the surface form of the entities. It includes:
+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:
 1.  **Inverse Mapping**: Every sample includes both the forward relation (e.g., *Mother*) and its logical inverse (e.g., *Child*).
 2.  **Artificial Substitutions**: A version of the dataset where real-world entities are replaced with synthetic names (e.g., replacing "Denmark" with "Emilyfort") to test if models rely on memorized entity knowledge rather than linguistic context.
 
@@ -42,7 +42,9 @@ The dataset is provided in JSON format and split into four main distributions:
 * **Relation Metadata**: Supplemental files providing human-readable definitions for Wikidata P-IDs and TekGen relation strings.
 
 ### Key Fields
-* `tokens`: The input text (tokenized or raw string).
+
+* `tokens`: The input text (tokenized or raw string) in FewRel.
+* `sent`: The input sentence (raw string) in Tekgen
 * `head` / `tail`: The subject and object entities.
 * `head_to_tail`: The ID/Name of the forward relation.
 * `tail_to_head`: The ID/Name of the inverse relation.
@@ -55,18 +57,22 @@ You can load this dataset for tasks such as:
 * **Text Generation**: Generating a sentence that expresses a specific inverse relation.
 
 ### Repository
+
 For scripts and more technical details on how the artificial data was generated, visit the official repository:
 👉 [sefeoglu/inverserelations](https://github.com/sefeoglu/inverserelations)
 
 ## Citation
+
 If you use this dataset in your research, please cite the original FewRel/TekGen papers and this repository.
 
 ```bibtex
-@misc{fewrel_inverse_2024,
+
+@misc{fewrel_inverse_2025,
   author = {Sefeoglu},
   title = {Relation Extraction for Inverse Relations from FewRel},
-  year = {2024},
+  year = {2025},
   publisher = {GitHub/HuggingFace},
   journal = {GitHub repository},
+  doi = { 10.57967/hf/8462 },
   howpublished = {\url{[https://github.com/sefeoglu/inverserelations](https://github.com/sefeoglu/inverserelations)}}
-}
+}