Mayank6255/translated_dolly_spec_decode

Aya Multilingual SFT Dataset

This dataset is derived from the CohereForAI/aya_collection (translated_dolly subset) and formatted for supervised fine-tuning (SFT) with LLaMA-Factory.

Dataset Subsets

Subset	Languages	Train	Test	Description
eng	ENG	✓	✓	English only subset
hin	HIN	✓	✓	Hindi only subset
deu	DEU	✓	✓	German only subset
eng_hin_deu	ENG, HIN, DEU	✓	✓	Combined English, Hindi, and German subset
eng_hin_deu_sampled	ENG, HIN, DEU, SAMPLED	✓	✓	Combined English, Hindi, and German sampled subset
ben	BEN	✓	✓	Bengali only subset
ben_eng_hin_deu	BEN, ENG, HIN, DEU	✓	✓	Combined Bengali, English, Hindi, and German subset
ben_eng_hin_deu_sampled	BEN, ENG, HIN, DEU, SAMPLED	✓	✓	Combined Bengali English, Hindi, and German sampled subset

Usage

Load a specific subset

from datasets import load_dataset

# Load English subset
dataset = load_dataset("Mayank6255/translated_dolly_spec_decode", "eng")

# Load combined subset
dataset = load_dataset("Mayank6255/translated_dolly_spec_decode", "eng_hin_deu")

# Access splits
train_data = dataset["train"]
test_data = dataset["test"]

Data Format

Each example contains:

{
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "..."}
  ],
  "language": "eng"
}

LLaMA-Factory Integration

Add to data/dataset_info.json:

{
  "aya_eng_hin_deu_train": {
    "hf_hub_url": "Mayank6255/translated_dolly_spec_decode",
    "subset": "eng_hin_deu",
    "split": "train",
    "formatting": "sharegpt",
    "columns": {"messages": "messages"},
    "tags": {
      "role_tag": "role",
      "content_tag": "content",
      "user_tag": "user", 
      "assistant_tag": "assistant",
      "system_tag": "system"
    }
  }
}

License

This dataset follows the licensing terms of the original Aya Collection dataset.