Update README.md

# Dataset Card for GOOD-Sum_v2
## Description
GOOD-Sum_v2 is an expanded version of the original [GOOD-Sum](https://huggingface.co/datasets/Goud/Goud-sum) dataset, now containing a total of 189,000 articles for training, 9,497 articles for validation, and 9,497 articles for testing. The dataset includes headlines and categories for each article. The articles are written in Moroccan Darija, Modern Standard Arabic (MSA), or a mix of both. Both versions of the dataset were scraped from the [GOUD.ma](https://www.goud.ma) website.

## About the Source
[GOUD.ma](https://www.goud.ma) is a news website established by Ahmed Najim. Journalists contribute articles in Modern Standard Arabic and Moroccan Darija, spanning various topics. This dataset captures the linguistic diversity of Moroccan media.

## Key Features
- **Data Splits**
GOOD-Sum_v2 dataset has 3 splits: train, validation, and test. Below are the number of instances in each split.
| **Split** | **Number of Articles** |
|------------------|-------------------------|
| Training Set | 189,000 |
| Validation Set | 9,497 |
| Test Set | 9,497 |

- **Languages:** Moroccan Darija, MSA, or a mix of both.
- **Data Fields:**
- article: The full article text.
- headline: The title of the article that will serve as the reference summary.
- categories: The topic category of the article (e.g., الرئيسية, تبركيك).

## Intended Use
Text summarization

### Citation
If you use this dataset, please cite it as follows:



@dataset
{goud_sum_v2_2024,
title = {Empirical Evaluation of Pre-trained Language Models for Summarizing Moroccan Darija News Articles},
author = {Azzedine Aftiss, Salima Lamsiyah, Christoph Schommer and Said Ouatik El Alaoui},
year = {2025},
publisher = {WACL-4},
url = {https://huggingface.co/datasets/good-sum_v2}
}

README.md

@@ -1,32 +1,38 @@
----
-license: cc-by-4.0
-dataset_info:
-  features:
-  - name: article
-    dtype: string
-  - name: headline
-    dtype: string
-  - name: categories
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 397165424
-    num_examples: 188709
-  - name: validation
-    num_bytes: 19675290
-    num_examples: 9497
-  - name: test
-    num_bytes: 19674802
-    num_examples: 9497
-  download_size: 221480572
-  dataset_size: 436515516
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
----
+---
+license: cc-by-4.0
+dataset_info:
+  features:
+  - name: article
+    dtype: string
+  - name: headline
+    dtype: string
+  - name: categories
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 397165424
+    num_examples: 188709
+  - name: validation
+    num_bytes: 19675290
+    num_examples: 9497
+  - name: test
+    num_bytes: 19674802
+    num_examples: 9497
+  download_size: 221480572
+  dataset_size: 436515516
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+task_categories:
+- summarization
+language:
+- ar
+size_categories:
+- 100K<n<1M
+---