kimperyang's picture
maxdata-train: 15,257 records (E2-big teacher + v2.1 scripts + neg1 + neg1h), text only (K-34)
e2db892 verified
|
Raw History Blame Contribute Delete
2.55 kB
# 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`.