VynerCK/Iban-language-data

Iban Language Dataset 🇲🇾🌏

This dataset contains Iban text collected for AI training.

📌 Dataset Details

• Language: Iban
• Data Type: Translations, word mappings, and structured responses
• Purpose: Train AI models to understand and generate Iban
• Copyright: Vyner[CK] Jalla

📌 Data Collection Process

The data is collected from various sources, including native Iban speakers, written texts, and translations. Efforts were made to ensure linguistic accuracy and diversity in sentence structures.

Each data entry follows this format:

{
  "english": "How are you?",
  "iban": "Apa kabar?",
  "word_mapping": {
    "Apa": "What",
    "kabar": "news"
  },
  "response": "Manah berita aku saritu wai."
}

📌 Example Entries

Greeting

{
  "english": "How are you?",
  "iban": "Apa kabar?",
  "word_mapping": {
    "Apa": "What",
    "kabar": "news"
  },
  "response": "Aku dalam keadaan ba nyamai."
}

Name Inquiry

{
  "english": "What is your name?",
  "iban": "Nama nuan sapa?",
  "word_mapping": {
    "Nama": "Name",
    "nuan": "you",
    "sapa": "who"
  },
  "response": "Nama aku Dominic, aku dicipta ngaga ulih Vyner[CK] jalla ianyak programmer kenak website ngan mobile apps."
}

Animal Names

{
  "english": "What is the name of this animal?",
  "iban": "apa nama binatang ia tu?",
  "word_mapping": {
    "apa": "What",
    "nama": "name",
    "tu": "this",
    "binatang": "animal",
    "ia": "is"
  },
  "response": "Nama ia binatang nyak adalah."
}

{
  "english": "What is that bird called?",
  "iban": "Apa nama burung tu?",
  "word_mapping": {
    "Apa": "What",
    "nama": "name",
    "burung": "bird",
    "nyak": "that"
  },
  "response": "Nama burung nyak adalah."
}

{
  "english": "What do you call a cat in Iban?",
  "iban": "Apa nama mayau dalam Iban?",
  "word_mapping": {
    "Apa": "What",
    "nama": "name",
    "mayau": "cat",
    "dalam": "in",
    "Iban": "Iban"
  },
  "response": "nama mayau nyak adalah."
}

📌 Usage Example

iban_to_english = {
    "Apa": "What",
    "kabar": "news",
    "Nuan": "You",
    "tinggal": "live",
    "di": "at",
    "mana": "where"
}

def translate_iban_to_english(sentence):
    words = sentence.split()
    translated_words = [iban_to_english.get(word, word) for word in words]
    return " ".join(translated_words)

iban_sentence = "Nuan tinggal di mana?"
english_translation = translate_iban_to_english(iban_sentence)
print(english_translation)  # Output: "You live at where?"

📌 Contributions

We welcome contributions! If you want to expand the dataset, submit data samples or report issues via our GitHub repository.

📌 Benchmarks & Model Performance

Currently, the dataset is used for fine-tuning AI language models. Performance metrics such as accuracy and BLEU scores will be updated as models are tested.

© 2024 Vyner[CK] Jalla. All Rights Reserved.