|
|
--- |
|
|
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-* |
|
|
--- |
|
|
|
|
|
## π ChartAlignBench |
|
|
[**π Paper**](https://arxiv.org/abs/2510.26781) | [**π» 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. |
|
|
|
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|
|
### π Overview |
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|
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|
|
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. |
|
|
|
|
|
<p align="left"> |
|
|
<img src="dataset_examples.png" width="85%"> |
|
|
<em>Examples of chart pairs in ChartAlignBench.</em> |
|
|
</p> |
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|
|
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|
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|
|
### π 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") |
|
|
|
|
|
``` |
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|
|
|
|
### π Dataset Description |
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|
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|
|
#### 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 | |
|
|
|
|
|
|