maxdata-train/README.md

maxdata-train: every training record we have for the 4B student (K-34)

maxdata_train.jsonl: 15,257 records (format mcp-v1: tools + messages), built 2026-10-27 02:45 UTC with tools/nav/mcp_remix.py maxdata --script script3_success_clean.jsonl (repo KimperYang/VLMAuditor). Text only: the images are not in this folder (see "Images").

part	records	C1	C2	C3	G1	G2	G3	S2	T1	T2	T3	V1	V2	V3	V4
teacher (E2-big)	3,538	145	345	24	359	514	286	241	143	215	305	255	71	71	564
scripts v2.1	7,562	578	543	202	663	1157	465	423	494	836	193	1067	432	235	274
hard negatives neg1	1,630	5	0	8	230	666	115	117	25	10	0	195	35	134	90
hard negatives neg1h	2,527	7	0	6	816	391	161	196	22	35	0	153	101	271	368
total	15,257	735	888	240	2068	2728	1027	977	684	1096	498	1670	639	711	1296

• Teacher (3,538): E2-big as it is: every clean teacher success (one report, the right one) of our runs: Gemini 3.8 Flash 1,703, GPT-5.6 846, GPT-6 / 6.1 413, Qwen3.8-27B 576.
• Scripts (7,562): this dataset's script3_success_clean.jsonl (7,806 records, generator v2.1, thoughts written), minus the validation split (crc32(id) % 33 == 0: 244), as for every set since E1; deduplicated by uid (no duplicates found).
• Hard negatives (4,157, all): a teacher's episode up to a wrong report, then an inspect of the evidence, one line saying the object looks normal and the teacher's next action (turn 1,817, move 695, done 1,113, look 510, wait 22). neg1 from katrina1's Gemini teachers, neg1h from the H100 teachers (tools/worldgen/mcpgen_neg.py).
• No v1 scripts, no identification records. No record comes from the 7 held-out evaluation worlds. Hard classes (C1 C3 T1 T2 V1 V2 V3) are 37.9% of the records.
• Records are our own procedurally built worlds; no benchmark tasks, rubrics or answers. The llm metadata of the records has no endpoint (removed for this public copy; training does not read it).

Images

Paths are relative to one IMAGE_ROOT. They are the union of: the IMAGE_ROOT of E2 (e2-train/ of the private kimperyang/vlmauditor-mcpgen-data: its snapshots 20261024-0105, 20261025-0530, h100-20261025-1712), allteacher-train/ and neg1h/ there, katrina1's snapshots 20261026-0850, 1230, 1406, 1857 there, and this dataset's images-script3-000..004.tar.