Dr. Alina Verma

folk-horror-genre-video-game-characters-zora-neale-hurston v2.0 Ethical
Backstory: Dr. Verma is a cultural anthropologist who travels to remote villages to document rituals, festivals, and oral traditions. Her practice centers on respectful collaboration with community elders and obtaining informed consent before recording any material. Field notebooks, ambient sound recordings, and interviews all feed into her secondary passion: building authentic game worlds that celebrate, rather than exploit, living cultures.
100% Complete
6/6 scenes
Model Performance Overview
Scene Performance Matrix
Scene meta-llama/llama-3.… mistralai/mistral-7… [email protected] [email protected] qwen/qwen-2.5-7b-in… qwen/qwen3-14b qwen/qwen3-8b
greet-village
Introducing Herself to the Council
0.898
Details
0.564
Details
0.000
Details
Error
0.000
Details
Error
0.634
Details
0.643
Details
0.661
Details
harvest-ritual
Observer Guidelines
0.840
Details
0.724
Details
0.000
Details
Error
0.000
Details
Error
0.652
Details
0.762
Details
0.816
Details
soundscape-recording
Mountains at Dawn (Long-form)
0.455
Details
0.551
Details
0.000
Details
Error
0.000
Details
Error
0.232
Details
0.144
Details
0.501
Details
oral-legend
Translating a Local Myth (Long-form)
0.000
Details
0.578
Details
0.000
Details
Error
0.000
Details
Error
0.487
Details
0.556
Details
0.604
Details
ethical-permission
Acknowledging Recording Conditions
0.546
Details
0.722
Details
0.000
Details
Error
0.000
Details
Error
0.713
Details
0.626
Details
0.728
Details
integrate-worldbuilding
Adapting the River Purification Ritual
0.000
Details
0.494
Details
0.000
Details
Error
0.000
Details
Error
0.000
Details
0.414
Details
0.764
Details
Test Scenes 6
0
Scene Order
Introducing Herself to the Council
ID: greet-village
🎯 Goal:
Offer a brief, courteous self-introduction and state her research purpose while emphasizing respect for local customs.
📨 Input Events:
chat_msg viewer:council_head
"Hello Dr. Verma, could you please introduce yourself to the village council?"
Ready for Testing
1
Scene Order
Observer Guidelines
ID: harvest-ritual
🎯 Goal:
Explain how an outsider should prepare for the night harvest ritual, showing cultural sensitivity in under 120 words.
📨 Input Events:
chat_msg viewer:junior_researcher
"Tomorrow is the night harvest ritual. What preparations should an outsider observe?"
Ready for Testing
2
Scene Order
Mountains at Dawn (Long-form)
ID: soundscape-recording
🎯 Goal:
Deliver a vivid, two-paragraph soundscape description (120–200 words total) suitable for game audio design, maintaining Dr. Verma’s observant voice.
📨 Input Events:
chat_msg viewer:audio_designer
"Could you paint an audio picture of dawn in the mountain village for our game’s ambience track?"
Ready for Testing
3
Scene Order
Translating a Local Myth (Long-form)
ID: oral-legend
🎯 Goal:
Provide the legend’s translation plus cultural context in at least 150 words while retaining narrative flair and respect.
📨 Input Events:
chat_msg viewer:writer
"I recorded the elder telling the Moon Weaver myth. Can you transcribe and translate it with notes for a storyline?"
Ready for Testing
4
Scene Order
Acknowledging Recording Conditions
ID: ethical-permission
🎯 Goal:
Acknowledge the elder’s conditions, restate them clearly, and express gratitude without overpromising.
📨 Input Events:
world_event elder:Tsering
"You may record the ceremony only if no faces are shown and copies are given to our archive."
Ready for Testing
5
Scene Order
Adapting the River Purification Ritual
ID: integrate-worldbuilding
🎯 Goal:
Offer a concise (<100 words) game quest adaptation that preserves the ritual’s core meaning and shows cultural respect.
📨 Input Events:
chat_msg viewer:game_dev
"How could we adapt the river purification ritual into a fantasy game's quest?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 7785 ms
  • p95 • avg • N 18240 ms • 10403 ms • 6
  • qwen/qwen-2.5-7b-instru… 22402 ms
  • p95 • avg • N 96653 ms • 36704 ms • 9
  • qwen/qwen3-8b 23070 ms
  • p95 • avg • N 33375 ms • 25161 ms • 12
  • qwen/qwen3-14b 25131 ms
  • p95 • avg • N 49719 ms • 28347 ms • 12
  • mistralai/mistral-7b-in… 25761 ms
  • p95 • avg • N 36679 ms • 26785 ms • 12
Slowest
  • [email protected]/Qw… 40616 ms
  • p95 • avg • N 193955 ms • 73465 ms • 6
  • meta-llama/llama-3.1-8b… 26696 ms
  • p95 • avg • N 35227 ms • 25368 ms • 12
  • mistralai/mistral-7b-in… 25761 ms
  • p95 • avg • N 36679 ms • 26785 ms • 12
  • qwen/qwen3-14b 25131 ms
  • p95 • avg • N 49719 ms • 28347 ms • 12
  • qwen/qwen3-8b 23070 ms
  • p95 • avg • N 33375 ms • 25161 ms • 12
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE
0 dimensions

Enhanced evaluation framework with character and technical dimensions

Top Weighted Dimensions View Details
Character Authenticity
0.182
Plan Validity
0.155
Contextual Intelligence
0.136
Recent Runs
36095980
Dec. 17, 2025, 12:01 a.m.
51217841
Dec. 16, 2025, 12:01 a.m.
31728934
Dec. 15, 2025, 12:01 a.m.
33120849
Dec. 14, 2025, 12:01 a.m.
32142215
Dec. 13, 2025, 12:01 a.m.
44806722
Dec. 12, 2025, 12:01 a.m.
41131674
Dec. 11, 2025, 12:01 a.m.
33667623
Dec. 10, 2025, 12:01 a.m.
47147662
Dec. 9, 2025, 12:01 a.m.
35824678
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)