| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: fewrel_tekgen_inverse.json |
|
|
| license: mit |
| task_categories: |
| - text-classification |
| - text-generation |
| language: |
| - en |
| pretty_name: Reversing Arrows Inverse Relations Benchmark |
| size_categories: |
| - "1K<n<10K" |
| tags: |
| - relation-extraction |
| - nlp |
| - dataset-robustness |
| - inverse-relations |
| - fewrel |
| - tekgen |
| --- |
| |
| # Reversing Arrows: A Benchmark Dataset for Inverse Relation Directionality in LLMs |
|
|
| This dataset evaluates the robustness of **relation extraction (RE)** models with a focus on **inverse relations** and **entity substitution**. It combines examples from **FewRel** and **TekGen** to measure whether models correctly capture relation semantics independent of relation direction and entity identity. |
|
|
| The dataset includes **MLCommons Croissant metadata** for improved interoperability with machine learning tools and data catalogs. |
|
|
| --- |
|
|
| ## Dataset Summary |
|
|
| The benchmark investigates whether language models can recognize the same semantic relationship when: |
|
|
| - the relation direction is reversed (e.g., **Mother ↔ Child**), |
| - entity mentions are replaced with synthetic placeholders, |
| - memorized world knowledge is unavailable. |
|
|
| The current benchmark release includes a single combined file for evaluation: |
|
|
| ### Combined FewRel + TekGen |
| - **File:** `data/ablation-tekgen/combined_fewrel_tekgen_inverse.json` |
| - **Records:** 5131 (3401 FewRel + 1730 TekGen) |
| - Concatenated benchmark file covering both sources. |
|
|
| The repository also provides source files used to build the combined file: |
|
|
| ### Source Files |
| - **FewRel source:** `data/ablation-tekgen/original_fewrel_inverse.json` |
| - **TekGen source:** `data/ablation-tekgen/original_tekgen_inverse.json` |
|
|
| Additionally, the dataset includes: |
|
|
| ### Relation Metadata |
| - **File:** `data/ablation-tekgen/tekgen_relations.json` |
| - Human-readable relation and inverse-relation definitions for TekGen relations. |
|
|
| ### Croissant Metadata |
| - **File:** `data/ablation-tekgen/inverse_relations_croissant.json` |
| - MLCommons Croissant description of available resources and fields. |
|
|
| -- |
| ## Dataset Structure |
|
|
| Core evaluation file: |
|
|
| | File | Description | |
| |------|-------------| |
| |fewrel_tekgen_inverse.json` | Combined benchmark examples from FewRel and TekGen. | |
|
|
|
|
| --- |
|
|
| ## Features |
|
|
| Because the dataset combines two sources, fields vary slightly by source. Common fields are: |
|
|
| | Field | Description | |
| |------|-------------| |
| | `head_to_tail` | Forward relation label (PID for FewRel or relation string for TekGen). | |
| | `tail_to_head` | Inverse relation label. | |
| | `head` | Head entity. | |
| | `tail` | Tail entity. | |
|
|
| FewRel-specific fields: |
|
|
| | Field | Description | |
| |------|-------------| |
| | `tokens` | Tokenized sentence. | |
| | `relation_prop_wiki` | Wikidata relation URIs connected to the entity pair. | |
|
|
| TekGen-specific fields: |
|
|
| | Field | Description | |
| |------|-------------| |
| | `id` | Unique example identifier. | |
| | `sent` | Full sentence string. | |
| | `artificial_data` | Mapping from original to substituted entities (only in artificial TekGen file). | |
|
|
| --- |
|
|
| ## Usage |
|
|
| Load the combined benchmark file with Python: |
|
|
| ```python |
| import json |
| |
| with open("data/ablation-tekgen/combined_fewrel_tekgen_inverse.json", "r", encoding="utf-8") as f: |
| dataset = json.load(f) |
| ``` |
|
|
| Potential applications include: |
|
|
| - Relation Extraction |
| - Text Classification |
| - Robustness Evaluation |
| - Knowledge Graph Completion |
| - Directionality Analysis |
| - Entity Generalization Studies |
|
|
| --- |
|
|
| ## Repository |
|
|
| Scripts used to generate the inverse relations and synthetic entity substitutions are available at: |
|
|
| **GitHub:** https://github.com/sefeoglu/inverserelations |
|
|
| --- |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite both the original **FewRel** paper and this dataset. |
|
|
| ```bibtex |
| @misc{efeoglu2025inversefewrel, |
| author = {Sefika Efeoglu and Adrian Paschke}, |
| title = {Reversing Arrows: A Benchmark Dataset for Inverse Relation Directionality in LLMs}, |
| year = {2025}, |
| doi = {10.57967/hf/8462}, |
| publisher = {Hugging Face}, |
| howpublished = {\url{https://github.com/sefeoglu/inverserelations}} |
| } |
| ``` |
