| --- |
| license: cc-by-sa-4.0 |
| task_categories: |
| - visual-question-answering |
| - question-answering |
| tags: |
| - charts |
| - vision-language |
| - chart-question-answering |
| - synthetic-data |
| pretty_name: Chartographer |
| size_categories: |
| - 1K<n<10K |
| language: |
| - en |
| source_datasets: |
| - lytang/ChartMuseum |
| - HuggingFaceM4/ChartQA |
| - princeton-nlp/CharXiv |
| configs: |
| - config_name: default |
| data_files: |
| - split: chartmuseum_dev |
| path: data/chartmuseum_dev.jsonl |
| - split: chartqa_val |
| path: data/chartqa_val.jsonl |
| - split: charxiv_validation |
| path: data/charxiv_validation.jsonl |
| --- |
| |
| # Chartographer |
|
|
| Chartographer is a chart reasoning dataset for evaluating whether |
| vision-language models answer chart questions through visual reasoning rather |
| than shortcuts or prior familiarity with a chart. Each chart-question family |
| contains an upstream original chart, a reconstructed chart, and ten |
| seed-controlled counterfactual variants with the same Chartographer `chart_id` |
| and `question_id`. |
|
|
| More details on the construction pipeline and evaluation protocol are available |
| in the [paper](https://arxiv.org/abs/2605.27311). |
|
|
| <img src="assets/pipeline_overview.png" alt="Chartographer pipeline overview" width="100%"> |
|
|
| ## Fields |
|
|
| Rows are stored in `data/*.jsonl`. |
|
|
| - `chart_id`: chart identifier, shared by the original chart, reconstruction, and seed variants of the same chart. |
| - `question_id`: question identifier, shared by all variants for the same question. |
| - `variant`: chart variant, one of `original`, `reconstruction`, or `seed_0` through `seed_9`. |
| - `image`: relative path to the released chart image; empty for `original` rows because upstream original images are not included. |
| - `question`: question asked about the chart image. |
| - `answer`: reference answer for the row's chart variant. |
| - `chart_data`: relative path to the released chart data JSON; empty for `original` rows. |
| - `source_dataset_split`: source dataset split identifier for this Chartographer row, combining the upstream dataset and split used in the release. |
| - `source_row_index`: zero-based row index in the upstream dataset split identified by `source_dataset_split`. |
|
|
| ## Intended Use |
|
|
| Chartographer is intended for chart visual question answering evaluation, |
| especially comparisons between original charts, reconstructed charts, and |
| controlled counterfactual chart variants. |
|
|
| ## License Notes |
|
|
| Chartographer is released under CC BY-SA 4.0 where permitted by the source |
| terms. Upstream original images are not included and may be governed by separate |
| licenses. To recover upstream original images and source records, use |
| `source_row_index` with the upstream Hugging Face dataset and split listed in |
| `metadata/dataset_info.json`. |
|
|
| Chartographer keeps its own evaluated `question` and `answer` fields, which may |
| differ from the exact QA text stored in the upstream Hugging Face row. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{jiang2026chartographer, |
| title={Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models}, |
| author={Yifan Jiang and Dae Yon Hwang and Jesse C. Cresswell and Freda Shi}, |
| year={2026}, |
| eprint={2605.27311}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2605.27311}, |
| } |
| ``` |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("json", data_files={ |
| "chartmuseum_dev": "data/chartmuseum_dev.jsonl", |
| "chartqa_val": "data/chartqa_val.jsonl", |
| "charxiv_validation": "data/charxiv_validation.jsonl", |
| }) |
| ``` |
