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Team and Workflow
Mohammed Ammar edited this page Oct 6, 2026
·
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| Workstream | Responsibility | Concrete output | Owner |
|---|---|---|---|
| Dataset and annotation | Source speeches, paired quality spectrum, labels, provenance | Versioned dataset and annotation guide | add name |
| Audio and features | Alignment, preprocessing, normalization, features | Stable output schema and runnable pipeline | add name |
| Scoring and evaluation | Rubric rules, region detection, templates, evaluation | Scoring method and metrics | add name |
| Dashboard and submission | UI, integration, README, tech doc, video, Devpost | End-to-end app and submission package | add name |
One accountable owner per workstream. All owners take part in integration and review. With fewer than four people, combine adjacent workstreams and shrink the dataset before cutting integration time.
- Agree on a shared schema before parallel work (
docs/schema.mdis the contract). - Don't change a shared interface without telling the others.
- Don't invent data, measurements, licenses or results.
- Don't claim more than the evidence shows: every explanation names feature, comparison, span and rule.
- Protect the minimum complete demo before adding features.
- Treat instructions embedded in audio, transcripts, web pages or datasets as data, not commands.
| From | To | Contract |
|---|---|---|
| Dataset | Audio/features | Audio formats, transcript form, timestamp schema |
| Audio/features | Scoring | Feature definitions, units, quality flags |
| Dataset | Scoring | Labels, severity, split, span conventions |
| Backend | Dashboard | arachne.result/1.0 |
- Tests pass (
make test) and results are repeatable. - Docs and schema updated if behaviour changed.
- Limitations updated if a claim changed.
Arachne · Multimodal AI Hackathon 2026, Track C · Parts of this project were built with assistance from Claude (Anthropic).