---
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}}
}
```