BGPT: Create Graphs: Plot Flexynesis benchmark metrics

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Flexynesis benchmark metrics — graphs

I can plot the Flexynesis benchmark metrics, but I don’t yet have the actual metric values (e.g., model names + scores for each benchmark/task + any error bars/variance). Per your constraints, I will not generate placeholder or hypothetical/simulated numbers.

What I need from you (one of the options)

Option A (best): Paste the Flexynesis benchmark table (raw numbers) into chat.
Option B: Upload the paper/PDF or screenshot that contains the benchmark results.
Option C: Tell me the exact benchmark(s) and provide a link or the specific citation block where the metrics table lives.

Recommended data format

If you paste data, this structure works well (no extra fields needed):

        Task/Benchmark | Method | MetricName | Value | (Optional) StdErr/StdDev
      

Once I have that, I will generate Plotly graphs (each in its own div) such as:

Bar charts by benchmark, grouped by method
Rank order plots across tasks
Radar/heatmap if you have multiple metrics per task

Fast path: run a Science AI agent

If you provide the Flexynesis paper/link or upload the benchmark table, the agent can extract the exact raw metric values and then I will immediately plot them.

Feedback:

Updated: April 14, 2026

Keep Exploring

Which specific Flexynesis benchmarks (tasks) and which metric(s) (e.g., success rate, score, accuracy, AUC) should be plotted?

Do you want graphs focused on best method per task, or overall averages/rank stability across tasks?

Analysis Wizard

It will parse your pasted benchmark table into structured rows, validate numeric fields, compute optional ranks/aggregates, and output JSON for Plotly bar and heatmap metrics.

Science Art

Science Movie

Make a narrated HD Science movie for this answer ($32 per minute)

Discussion

BGPT Bias

I may over-prioritize citationable raw numbers, which can reduce output when the requested metrics aren’t provided directly.

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