Can you recommend a dataset curation software for reviewing chart data and creating training sets?

Yes — for reviewing chart data and building training sets, I’d recommend choosing based on whether you need image annotation, chart-to-structure extraction, or general ML dataset management.

Good options

1. Label Studio

• Best for: Flexible manual review and annotation of chart images, tables, OCR, and extracted data.
• Why it’s useful: Open-source, supports custom interfaces, and works well if you want reviewers to validate chart elements or converted labels.
• Good fit if: You need to create training sets from charts with custom annotation workflows.

2. CVAT

• Best for: Annotating visual chart elements in images, such as axes, bars, points, legends, and text regions.
• Why it’s useful: Strong for computer vision tasks, team collaboration, and bounding-box/polygon annotation.
• Good fit if: Your chart dataset is mostly images and you want precise object labeling.

3. Scale AI / Dataloop / SuperAnnotate

• Best for: Larger-scale dataset curation with QA, reviewer workflows, and enterprise collaboration.
• Why it’s useful: Better management, labeling workflow tools, and quality controls than purely open-source options.
• Good fit if: You need production-grade training set operations and budget is available.

4. Prodigy

• Best for: Fast, interactive dataset creation for NLP or custom annotation workflows.
• Why it’s useful: Very efficient for human-in-the-loop curation, especially if you want to script your own logic.
• Good fit if: You want a lightweight, developer-friendly tool and are okay with a commercial license.

5. DataTurks / VoTT / makesense.ai

• Best for: Simpler or lightweight annotation tasks.
• Why it’s useful: Easy to use, but generally less powerful for review workflows and dataset governance.
• Good fit if: You just need quick annotation without enterprise features.

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If your goal is specifically “chart data”

If you mean graphs/charts from documents or screenshots, the best practical stack is often:

• Label Studio for manual review and correction
• CVAT if you need bounding boxes or regions
• Python preprocessing with OCR/chart extraction tools if you want to bootstrap labels automatically

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My short recommendation

• Most flexible open-source choice: Label Studio
• Best for image-based chart annotation: CVAT
• Best enterprise review workflow: SuperAnnotate or Scale AI

If you want, I can also recommend the best tool by chart type:

• line charts
• bar charts
• scatter plots
• tables converted to charts
• chart screenshots from PDFs