metadata

language:
  - en
license:
  - cc-by-4.0
pretty_name: MT-RAIG Bench
size_categories:
  - 10K<n<100K
task_categories:
  - text-retrieval
  - table-question-answering
task_ids:
  - document-retrieval
tags:
  - mt-raig
  - mt-raig-bench
configs:
  - config_name: examples
    data_files:
      - split: test
        path: examples/test-*
  - config_name: corpus
    data_files:
      - split: table
        path: corpus/table-*

MT-RAIG Bench

MT-RAIG Bench is the first largescale benchmark for retrieval-augmented insight generation over multiple tables.

Data Fields

Key	Type	Description
gold_table_id_set	List[str]	Multi table ID set
question	str	Question
insight	str	Insight
type	str	Question type - Analysis & Summary - Comparsion & Relationship - Performance & Outcome - Trend & Pattern

Data Example

...
{
    "gold_table_id_set": [
        "353b5a735823259229c1cd8b861de8c4e1c7dd1452a1c30b8750f627cb9c84a0",
        "52576d95871a6c91e63a18d751b2410d5f3d472a482be37bb723f21fc32db9fc",
        "d63aafdaee8d21e324e638268db5d91c4c55e92545671847d778235d7828c421",
        "e779833152fd9ac418c1844d361cb02450a964703a2c3b36e1f54e4735e07f03"
    ],
    "question": 
        "How do the grading systems for the IPPT Award Badge across the Singapore Air Force, Singapore Armed Forces, Singapore Civil Defence Force, and Singapore Police Force compare, and what implications might these differences have for the training and assessment of personnel in each organization?",
    "insight":
        "The grading systems for the IPPT Award Badge across the Singapore Air Force, Singapore Armed Forces, Singapore Civil Defence Force, and Singapore Police Force exhibit notable differences in performance metrics and scoring criteria, which can significantly impact the training and assessment of personnel in each organization. For instance, the Singapore Air Force requires fewer chin-ups for higher grades compared to the Singapore Armed Forces and Singapore Civil Defence Force, where more than 10 and 11 chin-ups are necessary for top grades, respectively. ...", 
    "type": "Comparison & Relationship"
}
...

Table Fields

Key	Type	Description
id	str	Unique table ID
title	str	Table title seperated by vertical bar
header	List[str]	Table header
cell	List[List[str]]	Table cells

Table Example

...
{
    "id":
        "e375a314c6dd0c542664b13c5cff485926ce9aa90f3c7fa3f9249bd066152e94",
    "title":
        "farm - city",
    "header": [
        "City_ID",
        "Official_Name",
        "Status",
        "Area_km_2",
        "Population",
        "Census_Ranking"
    ],
    "cell": [
        ["1", "Grand Falls/Grand-Sault", "Town", "18.06", "5706.0", "636 of 5008"],
        ["2", "Perth-Andover", "Village", "8.89", "1778.0", "1442 of 5,008"],
        ["3", "Plaster Rock", "Village", "3.09", "1135.0", "1936 of 5,008"],
        ["4", "Drummond", "Village", "8.91", "775.0", "2418 of 5008"],
        ["5", "Aroostook", "Village", "2.24", "351.0", "3460 of 5008"]
    ]
}
...

BibTeX

@misc{seo2025mtraig,
    title={MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables}, 
    author={Kwangwook Seo and Donguk Kwon and Dongha Lee},
    year={2025},
    eprint={2502.11735},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2502.11735}, 
}