---
license: mit
language:
- en
task_categories:
- question-answering
- image-to-text
- text-to-image
tags:
- dataset
- commonsense-reasoning
- VCR
size_categories:
- n<1K
---

# Dataset Name: `Atomic-EgMM`

## Contributors

- Mohamed Gamil
- Abdelrahman Elsayed
- Abdelrahman Lila
- Ahmed Anwar Gad
- Hesham Abdelgawad
- Mohamed Aref

## Overview

`Atomic-EgMM` is a **commonsense event dataset specific to Egyptian culture**, covering **everyday life, food, celebrations, religious occasions, and cultural practices**. Each event captures **actions, effects, intentions, needs, and reactions** for both the actor (`PersonX`) and others (`O`).

It is suitable for tasks like:

* **Commonsense reasoning**
* **Event understanding**
* **Natural language processing (NLP)**

---

## Dataset Splits

The dataset is divided into **three splits**:

| Split        | Approx. Rows | Description               |
| ------------ | ------------ | ------------------------- |
| `train`      | ~70%         | For training models       |
| `validation` | ~20%         | For tuning and validation |
| `test`       | ~10%         | For final evaluation      |

Each split is available in **CSV format**.

---

## Columns

| Column        | Description                                                            |
| ------------- | ---------------------------------------------------------------------- |
| `event`       | Description of the event.                                              |
| `oEffect`     | Effects on others (`O`) as a comma-separated list.                     |
| `oReact`      | Reactions of others (`O`) as a comma-separated list.                   |
| `oWant`       | What others (`O`) want to do as a result, comma-separated.             |
| `xAttr`       | Attributes of the actor (`PersonX`), comma-separated.                  |
| `xEffect`     | Effects on the actor (`PersonX`), comma-separated.                     |
| `xIntent`     | Intentions of the actor (`PersonX`), comma-separated.                  |
| `xNeed`       | Needs of the actor (`PersonX`) to perform the action, comma-separated. |
| `xReact`      | Reactions of the actor (`PersonX`), comma-separated.                   |
| `xWant`       | Desires of the actor (`PersonX`) as a result, comma-separated.         |

---

## Usage Example

Using Hugging Face `datasets`:

```python
from datasets import load_dataset

dataset = load_dataset(
    "csv",
    data_files={
        "train": "train.csv",
        "validation": "validation.csv",
        "test": "test.csv"
    }
)

print(dataset)
```
---

## Notes

* List-like columns are stored as **comma-separated strings**; you can split them into Python lists for modeling.
* All events are **specific to Egyptian contexts**, covering food, holidays, religious events, and celebrations.