- Test
- B100
- Population
- 100 clean typed English requests on desktop
- Procedure
- Same request IDs within each model comparison; route category compared with staff labels; model version recorded.
Testing the benchmark claim
Year 9 · Lesson 3 · Content 2026.11.02.1
All supplied-record lessons · Open interactive lesson
Supplied-record alternative. Enter your responses in your school assignment. These supplied results support learning but do not show that you ran an algorithm.
Your goal
Audit what a test claim covers and plan the missing local evidence.
To be able to evaluate a benchmark claim using its procedure, population and local error evidence.
Before you start
A test includes typed requests only. Does it establish results for noisy speech?
Choices: No / Yes
Bridge feedback after trying
It gives evidence for its stated sample; another sample is needed.
Words for this lesson
- Benchmark
- A specified comparison test and procedure.
- Distribution gap
- A difference between test examples and use conditions.
- Leakage
- Evaluation information entering development and weakening independence.
The idea
A benchmark claim needs a task, population, version and scoring procedure. Local use may differ. That difference can limit the claim without proving dishonesty. Check whether evaluation answers entered development. Report small-sample results with their counts. A recommendation should say what is missing, who should collect it and what happens while uncertainty remains.
A completed example
Practice: a fixed procedure gets 19/20 clean typed requests and 13/20 noisy transcripts correct. These are 95% and 65% on the supplied samples. The difference suggests testing local conditions; it does not prove cheating or a precise cause.
Check your understanding
A genuine score can fail to predict local results because ...
- The conditions differ
- All benchmarks are fake
- The name is shorter
Practice feedback after trying
The conditions differ. Report the scope rather than inventing dishonesty.
3/4 should be reported as ...
- 75% on a small four-case sample
- Certain future reliability
- No evidence at all
Practice feedback after trying
75% on a small four-case sample. Counts show the limited evidence.
Who used the test answers in development?
- Cedar only in the supplied story
- Atlas automatically
- Beacon automatically
Practice feedback after trying
Cedar only in the supplied story. Keep the allegation attached to its stated evidence.
Task 1 · Make a prediction
Public winner must lead L20
Options: Yes / No / Not sure
Write your prediction, or state that you skipped it.
Try it using supplied records
- Open the public-test passport: task, population, procedure and version.
- Predict whether its winner must also lead the local test.
- Reveal L20 results, then the noisy subgroup. Use numerator and denominator support.
- Select the questions the benchmark has not answered, including local language, access and connection conditions.
Supplied benchmark evidence
Complete data and source records
| Test | Population | Procedure |
|---|---|---|
| B100 | 100 clean typed English requests on desktop | Same request IDs within each model comparison; route category compared with staff labels; model version recorded. |
| L20 | 16 typed and 4 noisy-room transcribed requests | Staff-checked labels; held out from development; same examples for both models. |
Read as stacked records
- Test
- L20
- Population
- 16 typed and 4 noisy-room transcribed requests
- Procedure
- Staff-checked labels; held out from development; same examples for both models.
| Model | B100 correct out of 100 | L20 typed correct out of 16 | L20 noisy correct out of 4 |
|---|---|---|---|
| Atlas | 98 | 15 | 1 |
| Beacon | 96 | 14 | 3 |
Read as stacked records
- Model
- Atlas
- B100 correct out of 100
- 98
- L20 typed correct out of 16
- 15
- L20 noisy correct out of 4
- 1
- Model
- Beacon
- B100 correct out of 100
- 96
- L20 typed correct out of 16
- 14
- L20 noisy correct out of 4
- 3
| Card | Evidence |
|---|---|
| 1 | The public report gives no noisy-room result. |
| 2 | An unrelated model Cedar trained on all B100 answers and then called B100 independent. |
| 3 | A team rewarded only for reply count guesses on uncertain requests. |
Read as stacked records
- Card
- 1
- Evidence
- The public report gives no noisy-room result.
- Card
- 2
- Evidence
- An unrelated model Cedar trained on all B100 answers and then called B100 independent.
- Card
- 3
- Evidence
- A team rewarded only for reply count guesses on uncertain requests.
Expected results · supplied
These are supplied reference results. They are separate from your own explanation. No code needs to run to read them.
1. Atlas local=16/20=80%, noisy=1/4=25%. Beacon local=17/20=85%, noisy=3/4=75%. Do not mix B100 examples into L20. Keep raw counts alongside percentages, especially 1/4 and 3/4.
2. Concern keys: 1 scope gap, 2 leakage, 3 narrow target. Cedar story is not evidence against Atlas or Beacon. Missing tests include relevant Arabic requests, speech accessibility and slow connections; do not infer those groups inherently perform worse.
3. Suggested next step is a reviewed Beacon pilot or further comparison. Require an owner such as testing lead, representative fresh cases with checked labels, predeclared scoring and a final held-out evaluation. Do not auto-grade the recommendation by model name alone.
Help with this step
Hint 1
Keep public and local tests separate.
Hint 2
For noisy accuracy use four as the denominator and report the count.
Hint 3
Practice: 12 typed plus 3 noisy correct in 20 local cases gives 75% overall. The noisy group could also be 3/4=75%, but the populations differ.
Task 2 · Use the evidence
- Write an audit with one public result, one local result and the four-case subgroup limit.
- Classify the separate cards as scope gap, leakage or narrow target concern and give the supporting detail.
- Propose a fresh local test, name its owner and preserve independence from development. Include a correction route.
My explanation
Write in your school assignment. Keep these answers in your own words.
Atlas
- Local total correct (requests)
- Local accuracy (%)
- Noisy correct (requests)
- Noisy total (requests)
- Noisy accuracy (%)
Beacon
- Local total correct (requests)
- Local accuracy (%)
- Noisy correct (requests)
- Noisy total (requests)
- Noisy accuracy (%)
Card 1
- Concern type: Scope gap / Leakage / Narrow target concern
- Evidence
Card 2
- Concern type: Scope gap / Leakage / Narrow target concern
- Evidence
Card 3
- Concern type: Scope gap / Leakage / Narrow target concern
- Evidence
Your audit
- My qualified recommendation
- Missing condition
- Test owner
- Independence protection
- Correction route
Explain a fresh example
Give a qualified local recommendation using Atlas and Beacon results. Name a missing condition, an evidence owner and one way to protect test independence.
My confidence
I need another explanation / I can explain with help / I can explain with my own example
My next step
Write what you will do next.
Optional depth
Explain why repeatedly adjusting to the final held-out set eventually weakens its value, even if it was initially separate.
What this activity can show
The 20-case local test and four-case subgroup cannot establish future reliability. Missing coverage is an evidence gap, not a claim about a language or user group.
This is a student learning record. Submission is completed through the school assignment system.