---
language:
- ar
size_categories:
- 1B<n<10B
task_categories:
- text-classification
- question-answering
- translation
- summarization
- conversational
- text-generation
- text2text-generation
- fill-mask
pretty_name: Mixed Arabic Datasets (MAD) Corpus
dataset_info:
- config_name: Ara--Ali-C137--Hindawi-Books-dataset
  features:
  - name: BookLink
    dtype: string
  - name: BookName
    dtype: string
  - name: AuthorName
    dtype: string
  - name: AboutBook
    dtype: string
  - name: ChapterLink
    dtype: string
  - name: ChapterName
    dtype: string
  - name: ChapterText
    dtype: string
  - name: AboutAuthor
    dtype: string
  splits:
  - name: train
    num_bytes: 1364854259
    num_examples: 49821
  download_size: 494678002
  dataset_size: 1364854259
- config_name: Ara--Goud--Goud-sum
  features:
  - name: article
    dtype: string
  - name: headline
    dtype: string
  - name: categories
    dtype: string
  splits:
  - name: train
    num_bytes: 288296544
    num_examples: 139288
  download_size: 147735776
  dataset_size: 288296544
- config_name: Ara--J-Mourad--MNAD.v1
  features:
  - name: Title
    dtype: string
  - name: Body
    dtype: string
  - name: Category
    dtype: string
  splits:
  - name: train
    num_bytes: 1101921980
    num_examples: 418563
  download_size: 527154122
  dataset_size: 1101921980
- config_name: Ara--JihadZa--IADD
  features:
  - name: Sentence
    dtype: string
  - name: Region
    dtype: string
  - name: DataSource
    dtype: string
  - name: Country
    dtype: string
  splits:
  - name: train
    num_bytes: 19167070
    num_examples: 135804
  download_size: 8644491
  dataset_size: 19167070
- config_name: Ara--LeMGarouani--MAC-corpus
  features:
  - name: tweets
    dtype: string
  - name: type
    dtype: string
  - name: class
    dtype: string
  splits:
  - name: train
    num_bytes: 1945646
    num_examples: 18087
  download_size: 866198
  dataset_size: 1945646
- config_name: Ara--MBZUAI--Bactrian-X
  features:
  - name: instruction
    dtype: string
  - name: input
    dtype: string
  - name: id
    dtype: string
  - name: output
    dtype: string
  splits:
  - name: train
    num_bytes: 66093524
    num_examples: 67017
  download_size: 33063779
  dataset_size: 66093524
- config_name: Ara--OpenAssistant--oasst1
  features:
  - name: message_id
    dtype: string
  - name: parent_id
    dtype: string
  - name: user_id
    dtype: string
  - name: created_date
    dtype: string
  - name: text
    dtype: string
  - name: role
    dtype: string
  - name: lang
    dtype: string
  - name: review_count
    dtype: int32
  - name: review_result
    dtype: bool
  - name: deleted
    dtype: bool
  - name: rank
    dtype: float64
  - name: synthetic
    dtype: bool
  - name: model_name
    dtype: 'null'
  - name: detoxify
    dtype: 'null'
  - name: message_tree_id
    dtype: string
  - name: tree_state
    dtype: string
  - name: emojis
    struct:
    - name: count
      sequence: int32
    - name: name
      sequence: string
  - name: labels
    struct:
    - name: count
      sequence: int32
    - name: name
      sequence: string
    - name: value
      sequence: float64
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 58168
    num_examples: 56
  download_size: 30984
  dataset_size: 58168
- config_name: Ara--Wikipedia
  features:
  - name: id
    dtype: string
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 3052201469
    num_examples: 1205403
  download_size: 1316212231
  dataset_size: 3052201469
- config_name: Ara--bigscience--xP3
  features:
  - name: inputs
    dtype: string
  - name: targets
    dtype: string
  splits:
  - name: train
    num_bytes: 4727881680
    num_examples: 2148955
  download_size: 2805060725
  dataset_size: 4727881680
- config_name: Ara--cardiffnlp--tweet_sentiment_multilingual
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': negative
          '1': neutral
          '2': positive
  splits:
  - name: train
    num_bytes: 306108
    num_examples: 1839
  - name: validation
    num_bytes: 53276
    num_examples: 324
  - name: test
    num_bytes: 141536
    num_examples: 870
  download_size: 279900
  dataset_size: 500920
- config_name: Ara--miracl--miracl
  features:
  - name: query_id
    dtype: string
  - name: query
    dtype: string
  - name: positive_passages
    list:
    - name: docid
      dtype: string
    - name: text
      dtype: string
    - name: title
      dtype: string
  - name: negative_passages
    list:
    - name: docid
      dtype: string
    - name: text
      dtype: string
    - name: title
      dtype: string
  splits:
  - name: train
    num_bytes: 32012083
    num_examples: 3495
  download_size: 15798509
  dataset_size: 32012083
- config_name: Ara--mustapha--QuranExe
  features:
  - name: text
    dtype: string
  - name: resource_name
    dtype: string
  - name: verses_keys
    dtype: string
  splits:
  - name: train
    num_bytes: 133108687
    num_examples: 49888
  download_size: 58769417
  dataset_size: 133108687
- config_name: Ara--pain--Arabic-Tweets
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 41639770853
    num_examples: 202700438
  download_size: 22561651700
  dataset_size: 41639770853
- config_name: Ara--saudinewsnet
  features:
  - name: source
    dtype: string
  - name: url
    dtype: string
  - name: date_extracted
    dtype: string
  - name: title
    dtype: string
  - name: author
    dtype: string
  - name: content
    dtype: string
  splits:
  - name: train
    num_bytes: 103654009
    num_examples: 31030
  download_size: 49117164
  dataset_size: 103654009
- config_name: Ary--AbderrahmanSkiredj1--Darija-Wikipedia
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 8104410
    num_examples: 4862
  download_size: 3229966
  dataset_size: 8104410
- config_name: Ary--Ali-C137--Darija-Stories-Dataset
  features:
  - name: ChapterName
    dtype: string
  - name: ChapterLink
    dtype: string
  - name: Author
    dtype: string
  - name: Text
    dtype: string
  - name: Tags
    dtype: int64
  splits:
  - name: train
    num_bytes: 476926644
    num_examples: 6142
  download_size: 241528641
  dataset_size: 476926644
- config_name: Ary--Wikipedia
  features:
  - name: id
    dtype: string
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 10007364
    num_examples: 6703
  download_size: 4094377
  dataset_size: 10007364
- config_name: Arz--Wikipedia
  features:
  - name: id
    dtype: string
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1364641408
    num_examples: 1617770
  download_size: 306420318
  dataset_size: 1364641408
configs:
- config_name: Ara--Ali-C137--Hindawi-Books-dataset
  data_files:
  - split: train
    path: Ara--Ali-C137--Hindawi-Books-dataset/train-*
- config_name: Ara--Goud--Goud-sum
  data_files:
  - split: train
    path: Ara--Goud--Goud-sum/train-*
- config_name: Ara--J-Mourad--MNAD.v1
  data_files:
  - split: train
    path: Ara--J-Mourad--MNAD.v1/train-*
- config_name: Ara--JihadZa--IADD
  data_files:
  - split: train
    path: Ara--JihadZa--IADD/train-*
- config_name: Ara--LeMGarouani--MAC-corpus
  data_files:
  - split: train
    path: Ara--LeMGarouani--MAC-corpus/train-*
- config_name: Ara--MBZUAI--Bactrian-X
  data_files:
  - split: train
    path: Ara--MBZUAI--Bactrian-X/train-*
- config_name: Ara--OpenAssistant--oasst1
  data_files:
  - split: train
    path: Ara--OpenAssistant--oasst1/train-*
- config_name: Ara--Wikipedia
  data_files:
  - split: train
    path: Ara--Wikipedia/train-*
- config_name: Ara--bigscience--xP3
  data_files:
  - split: train
    path: Ara--bigscience--xP3/train-*
- config_name: Ara--cardiffnlp--tweet_sentiment_multilingual
  data_files:
  - split: train
    path: Ara--cardiffnlp--tweet_sentiment_multilingual/train-*
  - split: validation
    path: Ara--cardiffnlp--tweet_sentiment_multilingual/validation-*
  - split: test
    path: Ara--cardiffnlp--tweet_sentiment_multilingual/test-*
- config_name: Ara--miracl--miracl
  data_files:
  - split: train
    path: Ara--miracl--miracl/train-*
- config_name: Ara--mustapha--QuranExe
  data_files:
  - split: train
    path: Ara--mustapha--QuranExe/train-*
- config_name: Ara--pain--Arabic-Tweets
  data_files:
  - split: train
    path: Ara--pain--Arabic-Tweets/train-*
- config_name: Ara--saudinewsnet
  data_files:
  - split: train
    path: Ara--saudinewsnet/train-*
- config_name: Ary--AbderrahmanSkiredj1--Darija-Wikipedia
  data_files:
  - split: train
    path: Ary--AbderrahmanSkiredj1--Darija-Wikipedia/train-*
- config_name: Ary--Ali-C137--Darija-Stories-Dataset
  data_files:
  - split: train
    path: Ary--Ali-C137--Darija-Stories-Dataset/train-*
- config_name: Ary--Wikipedia
  data_files:
  - split: train
    path: Ary--Wikipedia/train-*
- config_name: Arz--Wikipedia
  data_files:
  - split: train
    path: Arz--Wikipedia/train-*
---
# Dataset Card for "Mixed Arabic Datasets (MAD) Corpus"

**The Mixed Arabic Datasets Corpus : A Community-Driven Collection of Diverse Arabic Texts**

## Dataset Description

The Mixed Arabic Datasets (MAD) presents a dynamic compilation of diverse Arabic texts sourced from various online platforms and datasets. It addresses a critical challenge faced by researchers, linguists, and language enthusiasts: the fragmentation of Arabic language datasets across the Internet. With MAD, we are trying to centralize these dispersed resources into a single, comprehensive repository.

Encompassing a wide spectrum of content, ranging from social media conversations to literary masterpieces, MAD captures the rich tapestry of Arabic communication, including both standard Arabic and regional dialects.

This corpus offers comprehensive insights into the linguistic diversity and cultural nuances of Arabic expression.

## Usage 

If you want to use this dataset you pick one among the available configs:

`Ara--MBZUAI--Bactrian-X` | `Ara--OpenAssistant--oasst1` | `Ary--AbderrahmanSkiredj1--Darija-Wikipedia`

`Ara--Wikipedia` | `Ary--Wikipedia` | `Arz--Wikipedia`

`Ary--Ali-C137--Darija-Stories-Dataset` | `Ara--Ali-C137--Hindawi-Books-dataset` | ``

Example of usage:

```python
dataset = load_dataset('M-A-D/Mixed-Arabic-Datasets-Repo', 'Ara--MBZUAI--Bactrian-X')
```

If you loaded multiple datasets and wanted to merge them together then you can simply laverage `concatenate_datasets()` from `datasets`

```pyhton
dataset3 = concatenate_datasets([dataset1['train'], dataset2['train']])
```

Note : proccess the datasets before merging in order to make sure you have a new dataset that is consistent

## Dataset Size

The Mixed Arabic Datasets (MAD) is a dynamic and evolving collection, with its size fluctuating as new datasets are added or removed. As MAD continuously expands, it becomes a living resource that adapts to the ever-changing landscape of Arabic language datasets.

**Dataset List**

MAD draws from a diverse array of sources, each contributing to its richness and breadth. While the collection is constantly evolving, some of the datasets that are poised to join MAD in the near future include:

- [✔] OpenAssistant/oasst1 (ar portion) : [Dataset Link](https://huggingface.co/datasets/OpenAssistant/oasst1)
- [✔] MBZUAI/Bactrian-X (ar portion) : [Dataset Link](https://huggingface.co/datasets/MBZUAI/Bactrian-X/viewer/ar/train)
- [✔] AbderrahmanSkiredj1/Darija-Wikipedia : [Dataset Link](https://huggingface.co/datasets/AbderrahmanSkiredj1/moroccan_darija_wikipedia_dataset)
- [✔] Arabic Wikipedia : [Dataset Link](https://huggingface.co/datasets/wikipedia)
- [✔] Moroccan Arabic Wikipedia : [Dataset Link](https://huggingface.co/datasets/wikipedia)
- [✔] Egyptian Arabic Wikipedia : [Dataset Link](https://huggingface.co/datasets/wikipedia)
- [✔] Darija Stories Dataset : [Dataset Link](https://huggingface.co/datasets/Ali-C137/Darija-Stories-Dataset)
- [✔] Hindawi Books Dataset : [Dataset Link](https://huggingface.co/datasets/Ali-C137/Hindawi-Books-dataset)
- [] uonlp/CulturaX - ar : [Dataset Link](https://huggingface.co/datasets/uonlp/CulturaX/viewer/ar/train)
- [✔] Pain/ArabicTweets : [Dataset Link](https://huggingface.co/datasets/pain/Arabic-Tweets)
- [] Abu-El-Khair Corpus : [Dataset Link](https://huggingface.co/datasets/arabic_billion_words)
- [✔] QuranExe : [Dataset Link](https://huggingface.co/datasets/mustapha/QuranExe)
- [✔] MNAD : [Dataset Link](https://huggingface.co/datasets/J-Mourad/MNAD.v1)
- [✔] IADD : [Dataset Link](https://raw.githubusercontent.com/JihadZa/IADD/main/IADD.json)
- [] OSIAN : [Dataset Link](https://wortschatz.uni-leipzig.de/en/download/Arabic#ara-tn_newscrawl-OSIAN_2018)
- [✔] MAC corpus : [Dataset Link](https://raw.githubusercontent.com/LeMGarouani/MAC/main/MAC%20corpus.csv)
- [✔] Goud.ma-Sum : [Dataset Link](https://huggingface.co/datasets/Goud/Goud-sum)
- [✔] SaudiNewsNet : [Dataset Link](https://huggingface.co/datasets/saudinewsnet)
- [✔] Miracl : [Dataset Link](https://huggingface.co/datasets/miracl/miracl)
- [✔] CardiffNLP/TweetSentimentMulti : [Dataset Link](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)
- [] OSCAR-2301 : [Dataset Link](https://huggingface.co/datasets/oscar-corpus/OSCAR-2301/viewer/ar/train)
- [] mc4 : [Dataset Link](https://huggingface.co/datasets/mc4/viewer/ar/train)
- [✔] bigscience/xP3 : [Dataset Link](https://huggingface.co/datasets/bigscience/xP3/viewer/ar/train)
- [] Muennighoff/xP3x : [Dataset Link](https://huggingface.co/datasets/Muennighoff/xP3x)
- [] Ai_Society : [Dataset Link](https://huggingface.co/datasets/camel-ai/ai_society_translated)


## Potential Use Cases

The Mixed Arabic Datasets (MAD) holds the potential to catalyze a multitude of groundbreaking applications:

- **Linguistic Analysis:** Employ MAD to conduct in-depth linguistic studies, exploring dialectal variances, language evolution, and grammatical structures.
- **Topic Modeling:** Dive into diverse themes and subjects through the extensive collection, revealing insights into emerging trends and prevalent topics.
- **Sentiment Understanding:** Decode sentiments spanning Arabic dialects, revealing cultural nuances and emotional dynamics.
- **Sociocultural Research:** Embark on a sociolinguistic journey, unraveling the intricate connection between language, culture, and societal shifts.

## Dataset Access

MAD's access mechanism is unique: while it doesn't carry a general license itself, each constituent dataset within the corpus retains its individual license. By accessing the dataset details through the provided links in the "Dataset List" section above, users can understand the specific licensing terms for each dataset.

### Join Us on Discord

For discussions, contributions, and community interactions, join us on Discord! [![Discord](https://img.shields.io/discord/798499298231726101?label=Join%20us%20on%20Discord&logo=discord&logoColor=white&style=for-the-badge)](https://discord.gg/2NpJ9JGm)

### How to Contribute

Want to contribute to the Mixed Arabic Datasets project? Follow our comprehensive guide on Google Colab for step-by-step instructions: [Contribution Guide](https://colab.research.google.com/drive/1kOIRoicgCOV8TPvASAI_2uMY7rpXnqzJ?usp=sharing).

**Note**: If you'd like to test a contribution before submitting it, feel free to do so on the [MAD Test Dataset](https://huggingface.co/datasets/M-A-D/Mixed-Arabic-Dataset-test).

## Citation

```
@dataset{ 
title = {Mixed Arabic Datasets (MAD)},
author = {MAD Community},
howpublished = {Dataset},
url = {https://huggingface.co/datasets/M-A-D/Mixed-Arabic-Datasets-Repo},
year = {2023},
}
```