remove files that are not part of the release

#2
This view is limited to 50 files because it contains too many changes. See the raw diff here.
Files changed (50) hide show
  1. README.md +1992 -60
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4
  data_files:
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  - split: test
6
- path: data/all.jsonl
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- - config_name: reasoning__general_rule
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  data_files:
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  - split: test
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- path: data/reasoning__general_rule.jsonl
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- - config_name: reasoning__cognitive_puzzles
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  data_files:
13
  - split: test
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- path: data/reasoning__cognitive_puzzles.jsonl
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- - config_name: reasoning__quantitative_reasoning_prompted
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  data_files:
17
  - split: test
18
- path: data/reasoning__quantitative_reasoning_prompted.jsonl
19
- - config_name: reasoning__induction_dataset_mcq_update
20
  data_files:
21
  - split: test
22
- path: data/reasoning__induction_dataset_mcq_update.jsonl
23
- - config_name: auditory__auditory_manifest_all
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  data_files:
25
  - split: test
26
- path: data/auditory__auditory_manifest_all.jsonl
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- - config_name: knowledge__knowledge_manifest_all
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  data_files:
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  - split: test
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- path: data/knowledge__knowledge_manifest_all.jsonl
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- - config_name: efficiency__presentation_benchmark_9x200_bench1800
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  data_files:
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  - split: test
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- path: data/efficiency__presentation_benchmark_9x200_bench1800.jsonl
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- - config_name: memory__ma
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  data_files:
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  - split: test
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- path: data/memory__ma.jsonl
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- - config_name: memory__m6
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  data_files:
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  - split: test
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- path: data/memory__m6.jsonl
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- - config_name: memory__ms
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  data_files:
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  - split: test
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- path: data/memory__ms.jsonl
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- - config_name: memory__mw_voice_editing_preview
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  data_files:
49
  - split: test
50
- path: data/memory__mw_voice_editing_preview.jsonl
51
- - config_name: memory__um
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  data_files:
53
  - split: test
54
- path: data/memory__um.jsonl
55
- - config_name: memory__mm_combination
56
  data_files:
57
  - split: test
58
- path: data/memory__mm_combination.jsonl
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
59
  ---
60
 
61
- # RAIL Audio Benchmark
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
62
 
63
- This folder is generated for direct Hugging Face dataset upload. Each row uses relative audio paths rooted at this repository folder.
 
 
 
64
 
65
- ## NeurIPS / Croissant Metadata
66
 
67
- - `metadata.json` is a Croissant-style metadata file with core fields and minimal RAI fields.
68
- - `metadata.json` includes the Hugging Face dataset URL, CC-BY-4.0 license URL, checksums, and RAI fields.
69
- - `build_summary.json` contains build counts and skipped-source diagnostics.
 
70
 
71
- ## Schema
72
 
73
- - `id`: stable row id.
74
- - `benchmark`, `subset`, `task`, `subtask`, `ability`: benchmark grouping fields.
75
- - `ability`: normalized CHC-style ability label from the benchmark taxonomy.
76
- - `question`, `prompt`, `choices`, `answer`, `answer_label`: evaluation fields.
77
- - For multiple-choice questions, predictions should be counted as correct if they match either `answer` or `answer_label`.
78
- - `audio`: first relative audio path for convenience.
79
- - `audio_paths`: all relative audio paths needed by the item.
80
- - `metadata_json`: sanitized source row as a JSON string; audio path fields are relative or null.
 
81
 
82
- ## Counts
83
 
84
- - Total rows: 5306
85
- - Unique audio files linked/copied: 6187
86
- - Rows with no primary audio: 0
 
 
 
 
 
 
 
 
 
 
87
 
88
- ## Subsets
89
 
90
- - `reasoning__general_rule`: 124 rows, `reasoning__general_rule.jsonl`
91
- - `reasoning__cognitive_puzzles`: 30 rows, `reasoning__cognitive_puzzles.jsonl`
92
- - `reasoning__quantitative_reasoning_prompted`: 100 rows, `reasoning__quantitative_reasoning_prompted.jsonl`
93
- - `reasoning__induction_dataset_mcq_update`: 68 rows, `reasoning__induction_dataset_mcq_update.jsonl`
94
- - `auditory__auditory_manifest_all`: 1170 rows, `auditory__auditory_manifest_all.jsonl`
95
- - `knowledge__knowledge_manifest_all`: 1014 rows, `knowledge__knowledge_manifest_all.jsonl`
96
- - `efficiency__presentation_benchmark_9x200_bench1800`: 1800 rows, `efficiency__presentation_benchmark_9x200_bench1800.jsonl`
97
- - `memory__ma`: 150 rows, `memory__ma.jsonl`
98
- - `memory__m6`: 200 rows, `memory__m6.jsonl`
99
- - `memory__ms`: 150 rows, `memory__ms.jsonl`
100
- - `memory__mw_voice_editing_preview`: 150 rows, `memory__mw_voice_editing_preview.jsonl`
101
- - `memory__um`: 200 rows, `memory__um.jsonl`
102
- - `memory__mm_combination`: 150 rows, `memory__mm_combination.jsonl`
 
1
  ---
2
+ license: cc-by-4.0
3
+ language:
4
+ - en
5
+ pretty_name: RAIL
6
+ size_categories:
7
+ - 1K<n<10K
8
+ task_categories:
9
+ - audio-classification
10
+ - question-answering
11
+ tags:
12
+ - audio
13
+ - benchmark
14
+ - audio-language-models
15
+ - cognitive-evaluation
16
+ - CHC
17
  configs:
18
  - config_name: all
19
+ default: true
20
  data_files:
21
  - split: test
22
+ path: data/*/*.jsonl
23
+ - config_name: auditory_processing
24
  data_files:
25
  - split: test
26
+ path: data/auditory_processing/*.jsonl
27
+ - config_name: reasoning
28
  data_files:
29
  - split: test
30
+ path: data/reasoning/*.jsonl
31
+ - config_name: memory
32
  data_files:
33
  - split: test
34
+ path: data/memory/*.jsonl
35
+ - config_name: processing_efficiency
36
  data_files:
37
  - split: test
38
+ path: data/processing_efficiency/*.jsonl
39
+ - config_name: knowledge
40
  data_files:
41
  - split: test
42
+ path: data/knowledge/*.jsonl
43
+ - config_name: US
44
  data_files:
45
  - split: test
46
+ path: data/auditory_processing/US.jsonl
47
+ - config_name: UR
48
  data_files:
49
  - split: test
50
+ path: data/auditory_processing/UR.jsonl
51
+ - config_name: U8
52
  data_files:
53
  - split: test
54
+ path: data/auditory_processing/U8.jsonl
55
+ - config_name: UP
56
  data_files:
57
  - split: test
58
+ path: data/auditory_processing/UP.jsonl
59
+ - config_name: U1_U9
60
  data_files:
61
  - split: test
62
+ path: data/auditory_processing/U1_U9.jsonl
63
+ - config_name: UL
64
  data_files:
65
  - split: test
66
+ path: data/auditory_processing/UL.jsonl
67
+ - config_name: PC
68
  data_files:
69
  - split: test
70
+ path: data/auditory_processing/PC.jsonl
71
+ - config_name: I
72
  data_files:
73
  - split: test
74
+ path: data/reasoning/I.jsonl
75
+ - config_name: RG
76
+ data_files:
77
+ - split: test
78
+ path: data/reasoning/RG.jsonl
79
+ - config_name: RQ
80
+ data_files:
81
+ - split: test
82
+ path: data/reasoning/RQ.jsonl
83
+ - config_name: MS
84
+ data_files:
85
+ - split: test
86
+ path: data/memory/MS.jsonl
87
+ - config_name: MA
88
+ data_files:
89
+ - split: test
90
+ path: data/memory/MA.jsonl
91
+ - config_name: MM
92
+ data_files:
93
+ - split: test
94
+ path: data/memory/MM.jsonl
95
+ - config_name: M6
96
+ data_files:
97
+ - split: test
98
+ path: data/memory/M6.jsonl
99
+ - config_name: UM
100
+ data_files:
101
+ - split: test
102
+ path: data/memory/UM.jsonl
103
+ - config_name: WM
104
+ data_files:
105
+ - split: test
106
+ path: data/memory/WM.jsonl
107
+ - config_name: P
108
+ data_files:
109
+ - split: test
110
+ path: data/processing_efficiency/P.jsonl
111
+ - config_name: R9
112
+ data_files:
113
+ - split: test
114
+ path: data/processing_efficiency/R9.jsonl
115
+ - config_name: N
116
+ data_files:
117
+ - split: test
118
+ path: data/processing_efficiency/N.jsonl
119
+ - config_name: RS
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+ dtype: string
1654
+ splits:
1655
+ - name: test
1656
+ num_examples: 181
1657
+ - config_name: LS
1658
+ features:
1659
+ - name: id
1660
+ dtype: string
1661
+ - name: capability
1662
+ dtype: string
1663
+ - name: capability_code
1664
+ dtype: string
1665
+ - name: task
1666
+ dtype: string
1667
+ - name: task_code
1668
+ dtype: string
1669
+ - name: subtask
1670
+ dtype: string
1671
+ - name: answer_format
1672
+ dtype: string
1673
+ - name: question
1674
+ dtype: string
1675
+ - name: choices
1676
+ list: string
1677
+ - name: answer
1678
+ dtype: string
1679
+ - name: answer_label
1680
+ dtype: string
1681
+ - name: prompt
1682
+ dtype: string
1683
+ - name: audio
1684
+ dtype: string
1685
+ - name: audio_paths
1686
+ list: string
1687
+ - name: num_audio
1688
+ dtype: int64
1689
+ - name: duration_s
1690
+ dtype: float64
1691
+ - name: source_id
1692
+ dtype: string
1693
+ - name: legacy_id
1694
+ dtype: string
1695
+ - name: legacy_config
1696
+ dtype: string
1697
+ - name: metadata_json
1698
+ dtype: string
1699
+ splits:
1700
+ - name: test
1701
+ num_examples: 150
1702
+ - config_name: KL
1703
+ features:
1704
+ - name: id
1705
+ dtype: string
1706
+ - name: capability
1707
+ dtype: string
1708
+ - name: capability_code
1709
+ dtype: string
1710
+ - name: task
1711
+ dtype: string
1712
+ - name: task_code
1713
+ dtype: string
1714
+ - name: subtask
1715
+ dtype: string
1716
+ - name: answer_format
1717
+ dtype: string
1718
+ - name: question
1719
+ dtype: string
1720
+ - name: choices
1721
+ list: string
1722
+ - name: answer
1723
+ dtype: string
1724
+ - name: answer_label
1725
+ dtype: string
1726
+ - name: prompt
1727
+ dtype: string
1728
+ - name: audio
1729
+ dtype: string
1730
+ - name: audio_paths
1731
+ list: string
1732
+ - name: num_audio
1733
+ dtype: int64
1734
+ - name: duration_s
1735
+ dtype: float64
1736
+ - name: source_id
1737
+ dtype: string
1738
+ - name: legacy_id
1739
+ dtype: string
1740
+ - name: legacy_config
1741
+ dtype: string
1742
+ - name: metadata_json
1743
+ dtype: string
1744
+ splits:
1745
+ - name: test
1746
+ num_examples: 193
1747
+ - config_name: A5
1748
+ features:
1749
+ - name: id
1750
+ dtype: string
1751
+ - name: capability
1752
+ dtype: string
1753
+ - name: capability_code
1754
+ dtype: string
1755
+ - name: task
1756
+ dtype: string
1757
+ - name: task_code
1758
+ dtype: string
1759
+ - name: subtask
1760
+ dtype: string
1761
+ - name: answer_format
1762
+ dtype: string
1763
+ - name: question
1764
+ dtype: string
1765
+ - name: choices
1766
+ list: string
1767
+ - name: answer
1768
+ dtype: string
1769
+ - name: answer_label
1770
+ dtype: string
1771
+ - name: prompt
1772
+ dtype: string
1773
+ - name: audio
1774
+ dtype: string
1775
+ - name: audio_paths
1776
+ list: string
1777
+ - name: num_audio
1778
+ dtype: int64
1779
+ - name: duration_s
1780
+ dtype: float64
1781
+ - name: source_id
1782
+ dtype: string
1783
+ - name: legacy_id
1784
+ dtype: string
1785
+ - name: legacy_config
1786
+ dtype: string
1787
+ - name: metadata_json
1788
+ dtype: string
1789
+ splits:
1790
+ - name: test
1791
+ num_examples: 65
1792
+ - config_name: MK
1793
+ features:
1794
+ - name: id
1795
+ dtype: string
1796
+ - name: capability
1797
+ dtype: string
1798
+ - name: capability_code
1799
+ dtype: string
1800
+ - name: task
1801
+ dtype: string
1802
+ - name: task_code
1803
+ dtype: string
1804
+ - name: subtask
1805
+ dtype: string
1806
+ - name: answer_format
1807
+ dtype: string
1808
+ - name: question
1809
+ dtype: string
1810
+ - name: choices
1811
+ list: string
1812
+ - name: answer
1813
+ dtype: string
1814
+ - name: answer_label
1815
+ dtype: string
1816
+ - name: prompt
1817
+ dtype: string
1818
+ - name: audio
1819
+ dtype: string
1820
+ - name: audio_paths
1821
+ list: string
1822
+ - name: num_audio
1823
+ dtype: int64
1824
+ - name: duration_s
1825
+ dtype: float64
1826
+ - name: source_id
1827
+ dtype: string
1828
+ - name: legacy_id
1829
+ dtype: string
1830
+ - name: legacy_config
1831
+ dtype: string
1832
+ - name: metadata_json
1833
+ dtype: string
1834
+ splits:
1835
+ - name: test
1836
+ num_examples: 141
1837
+ - config_name: BC
1838
+ features:
1839
+ - name: id
1840
+ dtype: string
1841
+ - name: capability
1842
+ dtype: string
1843
+ - name: capability_code
1844
+ dtype: string
1845
+ - name: task
1846
+ dtype: string
1847
+ - name: task_code
1848
+ dtype: string
1849
+ - name: subtask
1850
+ dtype: string
1851
+ - name: answer_format
1852
+ dtype: string
1853
+ - name: question
1854
+ dtype: string
1855
+ - name: choices
1856
+ list: string
1857
+ - name: answer
1858
+ dtype: string
1859
+ - name: answer_label
1860
+ dtype: string
1861
+ - name: prompt
1862
+ dtype: string
1863
+ - name: audio
1864
+ dtype: string
1865
+ - name: audio_paths
1866
+ list: string
1867
+ - name: num_audio
1868
+ dtype: int64
1869
+ - name: duration_s
1870
+ dtype: float64
1871
+ - name: source_id
1872
+ dtype: string
1873
+ - name: legacy_id
1874
+ dtype: string
1875
+ - name: legacy_config
1876
+ dtype: string
1877
+ - name: metadata_json
1878
+ dtype: string
1879
+ splits:
1880
+ - name: test
1881
+ num_examples: 141
1882
  ---
1883
 
1884
+ # RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark
1885
+
1886
+ **NeurIPS 2026**
1887
+
1888
+ Hongyu Jin<sup>1,\*</sup>, Siyi Wang<sup>1,\*</sup>, Yang Xiao<sup>1,\*</sup>, Jiaheng Dong<sup>1,\*</sup>, Shihong Tan<sup>4</sup>, Kaiyuan Peng<sup>1</sup>, Georgiana Juravle<sup>2</sup>, Shanquan Chen<sup>3</sup>, Gongping Huang<sup>4</sup>, Hong Jia<sup>5</sup>, Eun-Jung Holden<sup>1</sup>, James Bailey<sup>6</sup>, Ting Dang<sup>1,†</sup>
1889
+
1890
+ <sup>1</sup>The University of Melbourne, <sup>2</sup>Alexandru Ioan Cuza University of Iași, <sup>3</sup>The University of Hong Kong, <sup>4</sup>Wuhan University, <sup>5</sup>The University of Auckland, <sup>6</sup>Monash University
1891
+
1892
+ <sup>\*</sup>Equal contribution. <sup>†</sup>Corresponding author.
1893
+
1894
+ Contact: Hongyu Jin (hongyuj1@student.unimelb.edu.au), Ting Dang (ting.dang@unimelb.edu.au)
1895
+
1896
+ [Project page](https://aims-rail.github.io/RAIL/) · [arXiv](https://arxiv.org/abs/2606.11260) · [Paper on Hugging Face](https://huggingface.co/papers/2606.11260) · [Dataset on Hugging Face](https://huggingface.co/datasets/AIMS-RAIL/RAIL)
1897
+
1898
+ **TL;DR:** RAIL evaluates large audio-language models the way cognitive science assesses human listeners. Grounded in Cattell–Horn–Carroll (CHC) theory, it organizes 5,306 audio questions into five core auditory capabilities and 32 subcapabilities, and compares 26 LALMs with a human baseline. Models do well on knowledge inherited from text pretraining, while fine-grained auditory perception and processing efficiency remain below human level.
1899
+
1900
+ ![RAIL: five CHC capabilities and 32 subcapabilities](https://aims-rail.github.io/RAIL/assets/figures/chc_structure.webp)
1901
+
1902
+ ## Taxonomy and statistics
1903
+
1904
+ | Capability | Code | Tasks | Samples | Total dur. (h) | Mean dur. (s) | Median dur. (s) | Config |
1905
+ |---|---|---:|---:|---:|---:|---:|---|
1906
+ | Auditory Processing | Ga | 7 | 1170 | 4.98 | 15.31 | 4.0 | `auditory_processing` |
1907
+ | Reasoning | Gf | 3 | 322 | 3.49 | 39.04 | 25.04 | `reasoning` |
1908
+ | Memory | Gsm/Glr | 6 | 1000 | 12.77 | 45.99 | 28.04 | `memory` |
1909
+ | Processing Efficiency | Gs | 9 | 1800 | 2.01 | 4.02 | 1.81 | `processing_efficiency` |
1910
+ | Knowledge | Gc/Gkn | 7 | 1014 | 7.18 | 25.48 | 10.49 | `knowledge` |
1911
+ | **Overall** | | **32** | **5306** | 30.43 | 20.65 | 8.0 | `all` |
1912
+
1913
+ Durations are summed over all clips of an item and computed from the audio files.
1914
+
1915
+ ### Tasks and subtasks
1916
+
1917
+ Every task is also a config, named by its CHC code (`U1/U9` → `U1_U9`).
1918
+
1919
+ | Capability | Task (code) | Samples | Answer format | Subtasks (samples) |
1920
+ |---|---|---:|---|---|
1921
+ | Auditory Processing | Speech Sound Discrimination (`US`) | 153 | multiple_choice | Emotional Prosody Comparison (55); Confusable Word Identification (58); Minimal-Pair Discrimination (40) |
1922
+ | Auditory Processing | Resistance to Auditory Stimulus Distortion (`UR`) | 181 | multiple_choice | Babble Noise (65); Band-Limiting (40); Background Music (36); Reverberation (40) |
1923
+ | Auditory Processing | Maintaining and Judging Rhythm (`U8`) | 160 | multiple_choice | Beat Regularity Detection (40); Meter Identification (38); Tempo Change Detection (30); Tempo Comparison (52) |
1924
+ | Auditory Processing | Absolute Pitch (`UP`) | 200 | multiple_choice | MIDI Pitch Identification (80); Note Name Identification (50); Relative Pitch Comparison (40); Frequency Estimation (30) |
1925
+ | Auditory Processing | Musical Discrimination and Judgment (`U1/U9`) | 102 | multiple_choice | Aesthetic and Emotional Judgment (8); Genre Recognition (35); Instrument Identification (50); Musical Structure Analysis (9) |
1926
+ | Auditory Processing | Sound Localization (`UL`) | 182 | multiple_choice | Direction Identification (82); Azimuth Estimation (50); Distance Estimation (30); Motion Trajectory (20) |
1927
+ | Auditory Processing | Phonetic Coding (`PC`) | 192 | multiple_choice | Isolated Phoneme Identification (42); Concurrent Phoneme Segregation (50); Staggered-Onset Phoneme Identification (50); Stereo-Separated Phoneme Identification (50) |
1928
+ | Reasoning | Induction (`I`) | 68 | multiple_choice | Pattern Abstraction (34); Rule Induction (34) |
1929
+ | Reasoning | General Sequential Reasoning (`RG`) | 154 | multiple_choice | Sequential Reasoning with General Rules (124); Auditory Cognitive Puzzle (30) |
1930
+ | Reasoning | Quantitative Reasoning (`RQ`) | 100 | open_ended, multiple_choice | Math Reasoning (50); Counting (50) |
1931
+ | Memory | Memory Span (`MS`) | 150 | multiple_choice | — |
1932
+ | Memory | Associative Memory (`MA`) | 150 | multiple_choice | — |
1933
+ | Memory | Meaningful Memory (`MM`) | 150 | multiple_choice | Multi-Turn Dialogue (100); Narrated Passage (50) |
1934
+ | Memory | Free Recall Memory (`M6`) | 200 | free_recall | — |
1935
+ | Memory | Memory for Sound Patterns (`UM`) | 200 | closed_label, multiple_choice | N-Back (70); Speaker Tracking (70); Prosodic Contour Matching (60) |
1936
+ | Memory | Working Memory (`WM`) | 150 | multiple_choice | — |
1937
+ | Processing Efficiency | Perceptual Speed (`P`) | 200 | closed_label | — |
1938
+ | Processing Efficiency | Rate-of-Test-Taking (`R9`) | 200 | closed_label | — |
1939
+ | Processing Efficiency | Number Facility (`N`) | 200 | closed_label | — |
1940
+ | Processing Efficiency | Reading Speed (`RS`) | 200 | closed_label | — |
1941
+ | Processing Efficiency | Simple Reaction Time (`R1`) | 200 | closed_label | — |
1942
+ | Processing Efficiency | Choice Reaction Time (`R2`) | 200 | closed_label | — |
1943
+ | Processing Efficiency | Semantic Processing Speed (`R4`) | 200 | closed_label | — |
1944
+ | Processing Efficiency | Mental Comparison Speed (`R7`) | 200 | closed_label | — |
1945
+ | Processing Efficiency | Inspection Time (`IT`) | 200 | closed_label | — |
1946
+ | Knowledge | General (Verbal) Information (`K0`) | 143 | multiple_choice | — |
1947
+ | Knowledge | Language Development (`LD`) | 181 | multiple_choice | — |
1948
+ | Knowledge | Listening Ability (`LS`) | 150 | multiple_choice | — |
1949
+ | Knowledge | Foreign Language Proficiency (`KL`) | 193 | multiple_choice | — |
1950
+ | Knowledge | Geography Achievement (`A5`) | 65 | multiple_choice | — |
1951
+ | Knowledge | Mechanical Knowledge (`MK`) | 141 | multiple_choice | Anomaly Detection (47); Machine Identification (47); Machine Function Inference (47) |
1952
+ | Knowledge | Knowledge of Behavioral Content (`BC`) | 141 | multiple_choice | — |
1953
+
1954
+ ## Loading
1955
+
1956
+ ```python
1957
+ from datasets import load_dataset
1958
+ from huggingface_hub import snapshot_download
1959
+
1960
+ root = snapshot_download("AIMS-RAIL/RAIL", repo_type="dataset") # audio + manifests
1961
+ ds = load_dataset("AIMS-RAIL/RAIL", "all", split="test") # or "memory", "UL", "U1_U9", ...
1962
+
1963
+ item = ds[0]
1964
+ audio_files = [f"{root}/{p}" for p in item["audio_paths"]]
1965
+ print(item["prompt"])
1966
+ ```
1967
+
1968
+ ## Fields
1969
+
1970
+ | Field | Description |
1971
+ |---|---|
1972
+ | `id` | Unique item id, `<capability>-<task>-<nnnn>` (e.g. `ga-ul-0001`). |
1973
+ | `capability`, `capability_code` | Core capability and CHC broad-ability code (`Ga`, `Gf`, `Gsm/Glr`, `Gs`, `Gc/Gkn`). |
1974
+ | `task`, `task_code` | Sub-capability (CHC narrow ability) and its code, as named in the paper. |
1975
+ | `subtask` | Finer task design within a sub-capability; `null` where the task has a single design. |
1976
+ | `answer_format` | `multiple_choice`, `closed_label` (answer is one of `choices`, no letters shown), `open_ended`, or `free_recall`. |
1977
+ | `question` | Question stem without options or output instructions. |
1978
+ | `choices` | Option texts without letter prefixes (`multiple_choice`), or the allowed output labels (`closed_label`). |
1979
+ | `answer` | Gold answer text. For `free_recall`, one target item per line. |
1980
+ | `answer_label` | Gold option letter for `multiple_choice`; `null` otherwise. |
1981
+ | `prompt` | Full model-facing prompt used in the paper's evaluation (question, options and output instruction). |
1982
+ | `audio`, `audio_paths`, `num_audio` | Primary clip, all clips in presentation order, and clip count (paths are relative to the repo root). |
1983
+ | `duration_s` | Total audio duration of the item in seconds. |
1984
+ | `source_id` | Item id in the source manifest the item was generated from. |
1985
+ | `legacy_id`, `legacy_config` | Id and config name in RAIL v1, for mapping earlier results. |
1986
+ | `metadata_json` | Original source row as JSON text (generation parameters, conditions, provenance). |
1987
+
1988
+ ## Evaluation
1989
+
1990
+ The evaluation toolkit (Hugging Face model inference, the paper's scoring rules and an English report) is in the `eval/` folder of this repository and of the GitHub repository (https://github.com/AIMS-RAIL/RAIL):
1991
 
1992
+ ```bash
1993
+ cd eval
1994
+ python run_rail_eval.py all --model Qwen/Qwen2-Audio-7B-Instruct --out runs/qwen2_audio
1995
+ ```
1996
 
1997
+ Models answer in the form `Reason: ...; Answer: ...` (reason capped at 20 words, except Reasoning items). Scoring follows the paper:
1998
 
1999
+ - **Multiple choice / closed label**: the answer must contain every token of the gold answer (or its letter) and no token unique to another option (tokenizer `[A-Za-z0-9]+`). An LLM-as-judge score (GPT-5.4) is reported alongside.
2000
+ - **Processing Efficiency (Gs)**: B-AUC, the normalised area under accuracy as a function of the reason-length budget (0–50 tokens).
2001
+ - **Free recall (M6)**: token recall of the target items in `answer`, pooled over items.
2002
+ - **Open-ended math (RQ, Math Reasoning)**: the final numeric answer is compared with `answer`.
2003
 
2004
+ ## Changes from v1
2005
 
2006
+ - Labels follow the paper: `capability` → `task` (32) → `subtask`; v1 `benchmark`/`subset`/`task`/`ability` are replaced.
2007
+ - Configs are organised by capability and by task instead of by source manifest.
2008
+ - Ids are unique (v1 had 35 duplicated ids); v1 ids are kept in `legacy_id`.
2009
+ - Memory prompts and options are the exact ones used in evaluation (v1 lacked prompts for Memory Span, options for Working/Meaningful Memory prompts, and options for prosodic matching).
2010
+ - Speaker-tracking items (Memory for Sound Patterns) use the evaluated question wording and options; v1 carried an earlier wording for the same audio.
2011
+ - Options no longer carry letter prefixes; efficiency tasks list their allowed output labels.
2012
+ - `duration_s` is filled for every item from the audio files.
2013
+ - Audio is stored as `audio/<capability>/<task>/<id>[_k].<ext>`.
2014
+ - v1 remains available: `load_dataset("AIMS-RAIL/RAIL", revision="v1.0")`.
2015
 
2016
+ ## Citation
2017
 
2018
+ ```bibtex
2019
+ @inproceedings{jin2026rail,
2020
+ title = {RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models
2021
+ with a CHC-Grounded Benchmark},
2022
+ author = {Jin, Hongyu and Wang, Siyi and Xiao, Yang and Dong, Jiaheng and
2023
+ Tan, Shihong and Peng, Kaiyuan and Juravle, Georgiana and Chen, Shanquan and
2024
+ Huang, Gongping and Jia, Hong and Holden, Eun-Jung and Bailey, James and
2025
+ Dang, Ting},
2026
+ booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
2027
+ year = {2026},
2028
+ url = {https://arxiv.org/abs/2606.11260}
2029
+ }
2030
+ ```
2031
 
2032
+ ## License
2033
 
2034
+ CC-BY-4.0. Some items are derived from existing corpora; use them within the terms of those sources.
 
 
 
 
 
 
 
 
 
 
 
 
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/025_timit_g_017.wav → auditory_processing/PC/ga-pc-0025.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/026_timit_uw_044.wav → auditory_processing/PC/ga-pc-0026.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/027_timit_f_015.wav → auditory_processing/PC/ga-pc-0027.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/028_timit_ae_003.wav → auditory_processing/PC/ga-pc-0028.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/029_timit_eh_013.wav → auditory_processing/PC/ga-pc-0029.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/030_timit_m_025.wav → auditory_processing/PC/ga-pc-0030.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/031_timit_l_023.wav → auditory_processing/PC/ga-pc-0031.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/032_timit_r_034.wav → auditory_processing/PC/ga-pc-0032.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/033_timit_m_025.wav → auditory_processing/PC/ga-pc-0033.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/034_timit_dh_011.wav → auditory_processing/PC/ga-pc-0034.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/035_timit_aa_001.wav → auditory_processing/PC/ga-pc-0035.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/036_timit_uw_045.wav → auditory_processing/PC/ga-pc-0036.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/037_timit_ow_030.wav → auditory_processing/PC/ga-pc-0037.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/044_timit_ae_004.wav → auditory_processing/PC/ga-pc-0038.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/045_timit_d_009.wav → auditory_processing/PC/ga-pc-0039.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/048_timit_dh_010.wav → auditory_processing/PC/ga-pc-0040.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/049_timit_ng_028.wav → auditory_processing/PC/ga-pc-0041.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/050_timit_m_024.wav → auditory_processing/PC/ga-pc-0042.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/051_timit_concurrent_uw_ow_20.wav → auditory_processing/PC/ga-pc-0043.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/052_timit_concurrent_iy_uh_18.wav → auditory_processing/PC/ga-pc-0044.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/053_timit_concurrent_iy_ah_17.wav → auditory_processing/PC/ga-pc-0045.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/054_timit_concurrent_iy_eh_15.wav → auditory_processing/PC/ga-pc-0046.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/055_timit_concurrent_uw_ow_20.wav → auditory_processing/PC/ga-pc-0047.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/056_timit_concurrent_iy_ow_16.wav → auditory_processing/PC/ga-pc-0048.wav} RENAMED
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audio/{auditory/auditory_manifest_all/siyiw/datasets/add/pc/audio/057_timit_concurrent_ae_eh_10.wav → auditory_processing/PC/ga-pc-0049.wav} RENAMED
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