metadata
dataset_info:
features:
- name: qid
dtype: int64
- name: instruction
dtype: string
- name: answer
dtype: string
- name: source_dataset
dtype: string
- name: task_metric
dtype: string
- name: attribute_type
dtype: string
- name: attribute_value
dtype: string
- name: audio1
dtype: audio
- name: audio2
dtype: audio
- name: audio3
dtype: audio
- name: audio4
dtype: audio
- name: audio5
dtype: audio
- name: audio1_duration
dtype: float64
- name: audio2_duration
dtype: float64
- name: audio3_duration
dtype: float64
- name: audio4_duration
dtype: float64
- name: audio5_duration
dtype: float64
- name: audio1_sps
dtype: float64
- name: audio2_sps
dtype: float64
- name: audio3_sps
dtype: float64
- name: audio4_sps
dtype: float64
- name: audio5_sps
dtype: float64
- name: audio1_text
dtype: string
- name: audio2_text
dtype: string
- name: audio3_text
dtype: string
- name: audio4_text
dtype: string
- name: audio5_text
dtype: string
splits:
- name: test
num_examples: 50
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
Multi-Audio-Grounding: Max-Attribute Selection (L2-ARCTIC + CREMA-D)
Task: Given 5 audio options (A–E) and an instruction, select the option that matches a target attribute and is either the longest (duration) or the fastest (speaking rate / sps) among the matching options.
Composition (50 questions)
By dataset
- CREMA-D: 36
- L2-ARCTIC: 14
By metric
- Fastest (sps): 25
- Longest (duration): 25
By attribute type
- emotion: 22
- gender: 28
Breakdown (dataset × metric × attribute_type)
| dataset | metric | attribute_type | count |
|---|---|---|---|
| CREMA-D | Fastest (sps) | emotion | 11 |
| CREMA-D | Fastest (sps) | gender | 7 |
| CREMA-D | Longest (duration) | emotion | 11 |
| CREMA-D | Longest (duration) | gender | 7 |
| L2-ARCTIC | Fastest (sps) | gender | 7 |
| L2-ARCTIC | Longest (duration) | gender | 7 |