Datasets:
metadata
license: apache-2.0
language:
- en
- hi
- de
task_categories:
- text-generation
tags:
- sft
- instruction-tuning
- multilingual
- qwen
- llama-factory
size_categories:
- 10K<n<100K
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.