| --- |
| license: mit |
| task_categories: |
| - text-classification |
| - text-generation |
| language: |
| - en |
| pretty_name: Relation Extraction for Inverse Relations (FewRel & TekGen) |
| size_categories: |
| - 1K<n<10K |
| tags: |
| - relation-extraction |
| - nlp |
| - dataset-robustness |
| - inverse-relations |
| --- |
| |
| # Relation Extraction for Inverse Relations |
|
|
| 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 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. |
|
|
| ### Relation Examples |
| | Forward Relation | Inverse Relation | |
| | :--- | :--- | |
| | **Child** (P40) | **Mother** (P25) | |
| | **Child** (P40) | **Father** (P22) | |
| | **Follows** (P155) | **Followed by** (P156) | |
| | **Has Part** (P527) | **Part of** (P361) | |
|
|
| ## Dataset Structure |
|
|
| The dataset is provided in JSON format and split into four main distributions: |
|
|
| * **Original FewRel/TekGen**: The ground-truth sentences and relations. |
| * **Artificial FewRel/TekGen**: Sentences where entities have been substituted with synthetic placeholders. |
| * **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) 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. |
| * `artificial_data`: A mapping showing which `Original` entities were changed to which `Artifical` placeholders. |
|
|
| ## Usage |
|
|
| You can load this dataset for tasks such as: |
| * **Text Classification**: Predicting the relation ID between two entities. |
| * **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_2025, |
| author = {Sefeoglu}, |
| title = {Relation Extraction for Inverse Relations from FewRel}, |
| 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)}} |
| } |
| |
