kalomaze/glm52-usersim-two-pass-gemma-audit-v1

GLM-5.2 Usersim Two-Pass Gemma Audit v1

This dataset has labels for 61,503 answers made by GLM-5.2. The prompts are artificial user prompts from lyraaaa/synthprompts_v2_250k.

The first working set had 10,000 prompts. It was sampled from 250,000 prompts with seed 20260806 and source revision f286925651e23e7f1d44b22b4f03241dbee9129e. The sample was stratified. This means it kept a similar mix of mode, language, and length.

Gemma 4 26B first checked those 10,000 prompts. It used five prompt checks. Each prompt check was run 8 times. A prompt passed this strict prompt check only when all five checks were TRUE in all 8 runs. 8,631 prompts passed.

This GLM run did not use all 8,631 prompts. It removed 1,024 prompts that already appeared in an older GLM-5.2 run. This left 7,700 prompts. GLM-5.2 made 8 answers for each prompt, so the run wrote 61,600 answer rows. 61,503 rows had visible assistant text and were used in the response audit.

The response audit had two passes. Pass 1 ran on all 61,503 rows. It used five response axes. Each axis was judged 8 times by Gemma 4 26B. 45,680 rows passed every axis by 8/8 TRUE.

Pass 2 ran only on those 45,680 pass-1 rows. It used an adversarial check, which means it asked whether pass 1 had been too lenient. This check was run 8 times. 17,411 rows passed by 8/8 FAIR.

The optional artifact screen then checked those 17,411 rows for local nonsequiturs, unexpected language or script changes, and malformed visible text. Each of the three checks was run 8 times. It inspected only the visible assistant response, not hidden reasoning. 12,139 rows passed all three checks by 8/8 TRUE.

An answer is in pass_all if it passed pass 1 on all five axes. An answer is in pass_all_strict if it also passed pass 2 in all 8 runs. An answer is in pass_all_strict_no_artifacts if it also passed all three visible-output artifact checks in all 8 runs.

config	rows	meaning
all	61,503	all answers that got pass 1
pass_all	45,680	answers where all five pass-1 axes were 8/8 TRUE
pass_all_strict	17,411	answers where pass 1 was strict and pass 2 was 8/8 FAIR
pass_all_strict_no_artifacts	12,139	strict rows where all three visible-output artifact checks were 8/8 TRUE

item	count
source prompts	250,000
sampled prompts	10,000
prompt-filter judgments	400,000
strict prompt-pass prompts	8,631
prompts removed because of the older GLM run	1,024
prompts used for this GLM run	7,700
GLM answer rows written	61,600
GLM answer rows audited	61,503
pass-1 response judgments	2,460,120
pass-1 strict rows	45,680
pass-2 adversarial judgments	365,440
final hard-pass rows	17,411
completed artifact-screen judgments on hard-pass rows	417,832
strict no-artifact rows	12,139

The five pass-1 response axes are:

1. material_substantive_soundness
2. reasoning_warrant
3. risk_uncertainty_calibration
4. practical_robustness
5. interpersonal_judgment

The three visible-output artifact checks are:

1. local_semantic_continuity
2. language_script_integrity
3. surface_serialization_integrity

The completion field keeps the GLM assistant message. It also keeps reasoning_content when it is present. The vote counts are stored as columns. The full judge outputs are stored in pass1_judgments, pass2_judgments, and, for the no-artifacts config, v4_judgments.

These labels are experimental. They are not ground truth. The rubric, parser, run files, survival report, and full threshold curves are in repro/.