--- dataset_info: - config_name: attribute_grounding_and_alignment features: - name: idx dtype: int32 - name: imgname dtype: string - name: chart_type dtype: string - name: attribute dtype: string - name: chart_1_grounding dtype: string - name: chart_2_grounding dtype: string - name: alignment_json dtype: string - name: image_pair dtype: image splits: - name: test num_bytes: 144273203.125 num_examples: 1751 download_size: 140665127 dataset_size: 144273203.125 - config_name: data_grounding_and_alignment features: - name: idx dtype: int32 - name: imgname dtype: string - name: chart_type dtype: string - name: num_cell_difference dtype: int32 - name: chart_1_grounding dtype: string - name: chart_2_grounding dtype: string - name: alignment_json dtype: string - name: image_pair dtype: image splits: - name: test num_bytes: 391677829.125 num_examples: 4287 download_size: 382856565 dataset_size: 391677829.125 - config_name: robustness features: - name: idx dtype: int32 - name: set_idx dtype: int32 - name: set_pair_idx dtype: int32 - name: imgname dtype: string - name: chart_type dtype: string - name: num_cell_difference dtype: int32 - name: attribute_varied dtype: string - name: alignment_json dtype: string - name: image_pair dtype: image splits: - name: test num_bytes: 1339741262.125 num_examples: 16575 download_size: 1277778734 dataset_size: 1339741262.125 configs: - config_name: attribute_grounding_and_alignment data_files: - split: test path: attribute_grounding_and_alignment/test-* - config_name: data_grounding_and_alignment data_files: - split: test path: data_grounding_and_alignment/test-* - config_name: robustness data_files: - split: test path: robustness/test-* --- ## 📊 ChartAlignBench [**📖 Paper**](https://arxiv.org/abs/2510.26781) | [**💻 GitHub**](https://github.com/tianyi-lab/ChartAlignBench/) ChartAlignBench is a multi-modal benchmark designed to evaluate vision-language models (VLMs) on dense-level chart grounding and multi-chart alignment to comprehensively assess fine-grained chart understanding in VLMs. ### 🌐 Overview ChartAlignBench contains 9K+ instances, divided into three evaluation subsets:- 1. Data Grounding & Alignment: Paired charts differ in underlying data values visualized by the chart. 2. Attribute Grounding & Alignment: Paired charts differ in visualization attribute e.g., color, legend or text style. 3. Robustness: Multiple variants of paired charts for Data Alignment, with different attributes across variants.

Examples of chart pairs in ChartAlignBench.

### 📃 Instruction For each subset, the test*.parquet files contain the annotations and image pairs pre-loaded for processing with HF Datasets. ``` from datasets import load_dataset data_grounding_and_alignment_subset = load_dataset("umd-zhou-lab/ChartAlignBench", "data_grounding_and_alignment") attribute_grounding_and_alignment_subset = load_dataset("umd-zhou-lab/ChartAlignBench", "attribute_grounding_and_alignment") robustness_subset = load_dataset("umd-zhou-lab/ChartAlignBench", "robustness") ``` ### 📂 Dataset Description #### Common fields (all subsets) | Field | Description | |-------|---------------| |idx | Unique index of the sample in the set | |imgname | Name of the chart image | |chart_type | Type of chart| |alignment_json | Alignment label for the chart pair | |image_pair | Image of horizontally stitched chart pair (PIL.Image) | #### Data Grounding and Alignment | Field | Description | |-------|---------------| |num_cell_difference | Number of data points which differ between the chart pair | |chart_1_grounding | Grounding label for chart 1 (csv table) | |chart_2_grounding | Grounding label for chart 2 (csv table) | #### Attribute Grounding and Alignment | Field | Description | |-------|---------------| |attribute | Attribute which differs between the chart pair | |chart_1_grounding | Grounding label for chart 1 (json) | |chart_2_grounding | Grounding label for chart 2 (json) | #### Robustness | Field | Description | |-------|---------------| | set_idx | Set index which groups the 5 chart pairs in a robustness set | | set_pair_idx | Pair index within a set (1-5) | |num_cell_difference | Number of data points which differ between the chart pair | |attribute_varied | Attribute which varies across the 5 chart pairs |