qcri-ai/HCTQA

HCT-QA: Human-Centric Tables Question Answering

HCT-QA is a benchmark dataset designed to evaluate large language models (LLMs) on question answering over complex, human-centric tables (HCTs). These tables often appear in documents such as research papers, reports, and webpages and present significant challenges for traditional table QA due to their non-standard layouts and compositional structure.

The dataset includes:

• 2,188 real-world tables with 9,835 human-annotated QA pairs
• 4,679 synthetic tables with 67,500 programmatically generated QA pairs
• Logical and structural metadata for each table and question

📄 Paper: [Title TBD]
The associated paper is currently under review and will be linked here once published.

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📊 Dataset Splits

Config	Split	# Examples (Placeholder)
RealWorld	Train	7,500
RealWorld	Test	2,335
Synthetic	Train	55,000
Synthetic	Test	12,500

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🏆 Leaderboard

Model Name	FT (Finetuned)	Recall	Precision
Model-A	True	0.81	0.78
Model-B	False	0.64	0.61
Model-C	True	0.72	0.69

📌 If you're evaluating on this dataset, open a pull request to update the leaderboard.

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Dataset Structure

Each entry in the dataset is a dictionary with the following structure:

Sample Entry

{
  "table_id": "arxiv--1--1118",
  "table_info": {
    "table_csv_path": "../tables/csvs/arxiv--1--1118.csv",
    "table_image_url": "https://hcsdtables.qcri.org/datasets/all_images/arxiv_1_1118.jpg",
    "table_image_local_path": "../tables/images/arxiv--1--1118.jpg",
    "table_properties": {
      "Standard Relational Table": true,
      "Row Nesting": false,
      "Column Aggregation": false,
      ...
    },
    "table_formats": {
      "csv": ",0,1,2\n0,Domain,Average Text Length,Aspects Identified\n1,Journalism,50,44\n..."
    }
  },
  "questions": [
    {
      "question_id": "arxiv--1--1118--M0",
      "question": "Report the Domain and the Average Text Length where the Aspects Identified equals 72",
      "gt": "{Psychology | 86} || {Linguistics | 90}",
      "question_properties": {
        "Row Filter": true,
        "Aggregation": false,
        "Returned Columns": true,
        ...
      }
    }
    ...
  ]
}

Ground Truth Format

Explain the GT format here
Example: {value1 | value2} || {value3 | value4}

Table Properties

Property Name	Definition
Standard Relational Table	TBD
Multi Level Column	TBD
Balanced Multi Level Column	TBD
Symmetric Multi Level Column	TBD
Unbalanced Multi Level Column	TBD
Asymmetric Multi Level Column	TBD
Column Aggregation	TBD
Global Column Aggregation	TBD
Local Column-Group Aggregation	TBD
Explicit Column Aggregation Terms	TBD
Implicit Column Aggregation Terms	TBD
Row Nesting	TBD
Balanced Row Nesting	TBD
Symmetric Row Nesting	TBD
Unbalanced Row Nesting	TBD
Asymmetric Row Nesting	TBD
Row Aggregation	TBD
Global Row Aggregation	TBD
Local Row-Group Aggregation	TBD
Explicit Row Aggregation Terms	TBD
Implicit Row Aggregation Terms	TBD
Split Header Cell	TBD
Row Group Label	TBD

Question Properties

Property Name	Definition
Row Filter	TBD
Row Filter Condition Type Lookup	TBD
Row Filter Condition Type Expression	TBD
Row Filter Involved Columns Single	TBD
Row Filter Involved Columns Multiple	TBD
Row Filter Max Depth Of Involved Columns	TBD
Row Filter Retained Rows Single	TBD
Row Filter Retained Rows Multiple	TBD
Row Filter Num Of Conditions	TBD
Returned Columns	TBD
Returned Columns Project On Plain	TBD
Returned Columns Project On Expression	TBD
Returned Columns Max Depth	TBD
Returned Columns Expression In Table Present	TBD
Returned Columns Expression In Table Not Present	TBD
Returned Columns Num Of Output Columns	TBD
Yes/No	TBD
Aggregation	TBD
Aggregation Type Sum	TBD
Aggregation Type Avg	TBD
Aggregation Grouping Global	TBD
Aggregation Grouping Local	TBD
Rank	TBD
Rank Type	TBD