README.md

metadata

license: mit
language:
  - yue
tags:
  - cantonese
  - multimodal
  - speech
  - benchmark
pretty_name: Multimodal Yue Benchmark (audio + text)
size_categories:
  - 10K<n<100K
dataset_info:
  - config_name: gsm8k_hiugaai
    features:
      - name: conversations
        list:
          - name: from
            dtype: string
          - name: value
            dtype: string
      - name: audio
        dtype: audio
    splits:
      - name: train
        num_bytes: 173071396.88
        num_examples: 1249
      - name: test
        num_bytes: 9293462
        num_examples: 70
    download_size: 165211971
    dataset_size: 182364858.88
  - config_name: gsm8k_hiumaan
    features:
      - name: conversations
        list:
          - name: from
            dtype: string
          - name: value
            dtype: string
      - name: audio
        dtype: audio
    splits:
      - name: train
        num_bytes: 139023756.8
        num_examples: 1249
      - name: test
        num_bytes: 7452854
        num_examples: 70
    download_size: 128833254
    dataset_size: 146476610.8
  - config_name: gsm8k_wanlung
    features:
      - name: conversations
        list:
          - name: from
            dtype: string
          - name: value
            dtype: string
      - name: audio
        dtype: audio
    splits:
      - name: train
        num_bytes: 136425017.456
        num_examples: 1249
      - name: test
        num_bytes: 7371638
        num_examples: 70
    download_size: 124585085
    dataset_size: 143796655.456
  - config_name: mmlu_hiugaai
    features:
      - name: conversations
        list:
          - name: from
            dtype: string
          - name: value
            dtype: string
      - name: audio
        dtype: audio
    splits:
      - name: train
        num_bytes: 514573984.064
        num_examples: 3516
      - name: test
        num_bytes: 25366480
        num_examples: 180
    download_size: 460645039
    dataset_size: 539940464.064
  - config_name: mmlu_hiumaan
    features:
      - name: conversations
        list:
          - name: from
            dtype: string
          - name: value
            dtype: string
      - name: audio
        dtype: audio
    splits:
      - name: train
        num_bytes: 425052626.328
        num_examples: 3538
      - name: test
        num_bytes: 21197697
        num_examples: 182
    download_size: 369799127
    dataset_size: 446250323.328
  - config_name: mmlu_wanlung
    features:
      - name: conversations
        list:
          - name: from
            dtype: string
          - name: value
            dtype: string
      - name: audio
        dtype: audio
    splits:
      - name: train
        num_bytes: 408528411.48
        num_examples: 3538
      - name: test
        num_bytes: 20642289
        num_examples: 182
    download_size: 350137445
    dataset_size: 429170700.48
configs:
  - config_name: gsm8k_hiugaai
    data_files:
      - split: train
        path: gsm8k_hiugaai/train-*
      - split: test
        path: gsm8k_hiugaai/test-*
  - config_name: gsm8k_hiumaan
    data_files:
      - split: train
        path: gsm8k_hiumaan/train-*
      - split: test
        path: gsm8k_hiumaan/test-*
  - config_name: gsm8k_wanlung
    data_files:
      - split: train
        path: gsm8k_wanlung/train-*
      - split: test
        path: gsm8k_wanlung/test-*
  - config_name: mmlu_hiugaai
    data_files:
      - split: train
        path: mmlu_hiugaai/train-*
      - split: test
        path: mmlu_hiugaai/test-*
    default: true
  - config_name: mmlu_hiumaan
    data_files:
      - split: train
        path: mmlu_hiumaan/train-*
      - split: test
        path: mmlu_hiumaan/test-*
  - config_name: mmlu_wanlung
    data_files:
      - split: train
        path: mmlu_wanlung/train-*
      - split: test
        path: mmlu_wanlung/test-*

Multimodal Yue Benchmark

Cantonese audio + text benchmark derived from BillBao/Yue-Benchmark (Yue-GSM8K & Yue-MMLU-style tasks). We kept the same task content in Cantonese and added TTS for three Cantonese speakers (hiugaai, hiumaan, wanlung).

Subsets & splits

Config name	Task	Speaker	Splits
mmlu_*	multiple-choice (MMLU-style)	per speaker	train, test
gsm8k_*	math word problems (GSM8K-style)	per speaker	train, test

Example:

from datasets import load_dataset

ds = load_dataset("J017athan/Multimodal-Yue-Benchmark", "mmlu_hiugaai", split="train")

Format

Each row has conversations (ShareGPT-style list of {"from": "human"|"gpt", "value": "..."}) and audio (embedded in Parquet when using the default uploader). Compatible with LLaMA-Factory.

Upstream

Original Yue-Benchmark.