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@@ -71,4 +71,146 @@ dataset_info:
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  requiring models to handle reasoning across complex structures, numeric aggregation, and context-dependent
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  understanding. The `dataset_type` field indicates whether a sample is from the real world data sources
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  (`realWorldHCTs`) or synthetically created (`syntheticHCTs`).
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  requiring models to handle reasoning across complex structures, numeric aggregation, and context-dependent
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  understanding. The `dataset_type` field indicates whether a sample is from the real world data sources
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  (`realWorldHCTs`) or synthetically created (`syntheticHCTs`).
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+ ---
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+
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+ # HCT-QA: Human-Centric Tables Question Answering
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+
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+ **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.
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+
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+ The dataset includes:
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+
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+ - **2,188 real-world tables** with **9,835 human-annotated QA pairs**
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+ - **4,679 synthetic tables** with **67,500 programmatically generated QA pairs**
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+ - Logical and structural metadata for each table and question
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+
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+ > πŸ“„ **Paper**: [Title TBD]
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+ > _The associated paper is currently under review and will be linked here once published._
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+
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+ ---
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+
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+ ## πŸ“Š Dataset Splits
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+
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+ | Config | Split | # Examples (Placeholder) |
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+ |------------|-------|--------------------------|
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+ | RealWorld | Train | 7,500 |
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+ | RealWorld | Test | 2,335 |
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+ | Synthetic | Train | 55,000 |
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+ | Synthetic | Test | 12,500 |
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+
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+ ---
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+
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+ ## πŸ† Leaderboard
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+
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+ | Model Name | FT (Finetuned) | Recall | Precision |
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+ |-----------------|----------------|--------|-----------|
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+ | Model-A | True | 0.81 | 0.78 |
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+ | Model-B | False | 0.64 | 0.61 |
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+ | Model-C | True | 0.72 | 0.69 |
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+
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+ > πŸ“Œ If you're evaluating on this dataset, open a pull request to update the leaderboard.
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+
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+ ---
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+
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+ ## Dataset Structure
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+
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+ Each entry in the dataset is a dictionary with the following structure:
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+
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+ ### Sample Entry
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+
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+ ```json
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+ {
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+ "table_id": "arxiv--1--1118",
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+ "table_info": {
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+ "table_csv_path": "../tables/csvs/arxiv--1--1118.csv",
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+ "table_image_url": "https://hcsdtables.qcri.org/datasets/all_images/arxiv_1_1118.jpg",
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+ "table_image_local_path": "../tables/images/arxiv--1--1118.jpg",
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+ "table_properties": {
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+ "Standard Relational Table": true,
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+ "Row Nesting": false,
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+ "Column Aggregation": false,
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+ ...
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+ },
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+ "table_formats": {
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+ "csv": ",0,1,2\n0,Domain,Average Text Length,Aspects Identified\n1,Journalism,50,44\n..."
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+ }
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+ },
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+ "questions": [
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+ {
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+ "question_id": "arxiv--1--1118--M0",
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+ "question": "Report the Domain and the Average Text Length where the Aspects Identified equals 72",
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+ "gt": "{Psychology | 86} || {Linguistics | 90}",
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+ "question_properties": {
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+ "Row Filter": true,
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+ "Aggregation": false,
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+ "Returned Columns": true,
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+ ...
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+ }
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+ }
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+ ...
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+ ]
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+ }
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+ ```
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+
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+ ### Ground Truth Format
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+
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+ <b> Explain the GT format here </b>
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+ Example: {value1 | value2} || {value3 | value4}
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+
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+
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+ ### Table Properties
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+
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+ | Property Name | Definition |
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+ |--------------------------------------|------------|
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+ | Standard Relational Table | TBD |
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+ | Multi Level Column | TBD |
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+ | Balanced Multi Level Column | TBD |
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+ | Symmetric Multi Level Column | TBD |
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+ | Unbalanced Multi Level Column | TBD |
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+ | Asymmetric Multi Level Column | TBD |
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+ | Column Aggregation | TBD |
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+ | Global Column Aggregation | TBD |
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+ | Local Column-Group Aggregation | TBD |
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+ | Explicit Column Aggregation Terms | TBD |
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+ | Implicit Column Aggregation Terms | TBD |
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+ | Row Nesting | TBD |
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+ | Balanced Row Nesting | TBD |
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+ | Symmetric Row Nesting | TBD |
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+ | Unbalanced Row Nesting | TBD |
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+ | Asymmetric Row Nesting | TBD |
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+ | Row Aggregation | TBD |
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+ | Global Row Aggregation | TBD |
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+ | Local Row-Group Aggregation | TBD |
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+ | Explicit Row Aggregation Terms | TBD |
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+ | Implicit Row Aggregation Terms | TBD |
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+ | Split Header Cell | TBD |
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+ | Row Group Label | TBD |
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+
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+ ### Question Properties
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+
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+ | Property Name | Definition |
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+ |----------------------------------------|------------|
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+ | Row Filter | TBD |
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+ | Row Filter Condition Type Lookup | TBD |
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+ | Row Filter Condition Type Expression | TBD |
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+ | Row Filter Involved Columns Single | TBD |
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+ | Row Filter Involved Columns Multiple | TBD |
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+ | Row Filter Max Depth Of Involved Columns | TBD |
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+ | Row Filter Retained Rows Single | TBD |
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+ | Row Filter Retained Rows Multiple | TBD |
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+ | Row Filter Num Of Conditions | TBD |
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+ | Returned Columns | TBD |
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+ | Returned Columns Project On Plain | TBD |
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+ | Returned Columns Project On Expression| TBD |
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+ | Returned Columns Max Depth | TBD |
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+ | Returned Columns Expression In Table Present | TBD |
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+ | Returned Columns Expression In Table Not Present | TBD |
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+ | Returned Columns Num Of Output Columns | TBD |
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+ | Yes/No | TBD |
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+ | Aggregation | TBD |
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+ | Aggregation Type Sum | TBD |
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+ | Aggregation Type Avg | TBD |
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+ | Aggregation Grouping Global | TBD |
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+ | Aggregation Grouping Local | TBD |
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+ | Rank | TBD |
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+ | Rank Type | TBD |
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+