---
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)}}
}