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README.md
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- text-generation
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language:
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- en
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pretty_name: Relation Extraction for Inverse Relations
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size_categories:
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- 1K<n<10K
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---
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Relation pairs like:
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```bash
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Child <-> Mother
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- text-generation
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language:
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- en
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pretty_name: Relation Extraction for Inverse Relations (FewRel & TekGen)
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size_categories:
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- 1K<n<10K
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tags:
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- relation-extraction
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- nlp
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- dataset-robustness
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- inverse-relations
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---
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# Relation Extraction for Inverse Relations
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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.
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## Dataset Summary
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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:
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1. **Inverse Mapping**: Every sample includes both the forward relation (e.g., *Mother*) and its logical inverse (e.g., *Child*).
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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.
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### Relation Examples
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| Forward Relation | Inverse Relation |
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| :--- | :--- |
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| **Child** (P40) | **Mother** (P25) |
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| **Child** (P40) | **Father** (P22) |
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| **Follows** (P155) | **Followed by** (P156) |
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| **Has Part** (P527) | **Part of** (P361) |
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## Dataset Structure
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The dataset is provided in JSON format and split into four main distributions:
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* **Original FewRel/TekGen**: The ground-truth sentences and relations.
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* **Artificial FewRel/TekGen**: Sentences where entities have been substituted with synthetic placeholders.
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* **Relation Metadata**: Supplemental files providing human-readable definitions for Wikidata P-IDs and TekGen relation strings.
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### Key Fields
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* `tokens`: The input text (tokenized or raw string).
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* `head` / `tail`: The subject and object entities.
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* `head_to_tail`: The ID/Name of the forward relation.
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* `tail_to_head`: The ID/Name of the inverse relation.
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* `artificial_data`: A mapping showing which `Original` entities were changed to which `Artifical` placeholders.
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## Usage
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You can load this dataset for tasks such as:
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* **Text Classification**: Predicting the relation ID between two entities.
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* **Text Generation**: Generating a sentence that expresses a specific inverse relation.
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### Repository
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For scripts and more technical details on how the artificial data was generated, visit the official repository:
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👉 [sefeoglu/inverserelations](https://github.com/sefeoglu/inverserelations)
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## Citation
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If you use this dataset in your research, please cite the original FewRel/TekGen papers and this repository.
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```bibtex
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@misc{fewrel_inverse_2024,
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author = {Sefeoglu},
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title = {Relation Extraction for Inverse Relations from FewRel},
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year = {2024},
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publisher = {GitHub/HuggingFace},
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journal = {GitHub repository},
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howpublished = {\url{[https://github.com/sefeoglu/inverserelations](https://github.com/sefeoglu/inverserelations)}}
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}
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