49k_missing_e40: k=3 teacher rollouts, lp_thought echo, epoch 40
Browse files- .gitattributes +1 -0
- 49k_missing_e40.errors.jsonl +0 -0
- 49k_missing_e40.jsonl +3 -0
- 49k_missing_e40.meta.json +74 -0
- README.md +34 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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49k_missing_e40.jsonl filter=lfs diff=lfs merge=lfs -text
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49k_missing_e40.errors.jsonl
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File without changes
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49k_missing_e40.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:57b70eb3bc2fe47ed65091baadbb47f2baaf34e396da8179394bf676efa411d8
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size 813501085
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49k_missing_e40.meta.json
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{
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"teacher": {
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"repo": "Qwen/Qwen3.8-27B",
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"revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0"
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},
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"sampling": {
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"temperature": 0.8,
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"n_samples": 3,
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"max_tokens_default": 1792,
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"max_tokens_by_kind": {
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"bash": [
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1024,
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768
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],
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"tool_call": [
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1024,
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768
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],
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"boxed": [
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1024,
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768
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],
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"text": [
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1024,
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768
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],
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"terminus_json": [
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1024,
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768
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]
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},
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"add_special_tokens": false,
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"requests_per_turn": 1,
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"prompt": "evalsrv.chat.gen_prompt",
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"split": "evalsrv.chat.split_rollout(require_think_close=False)"
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},
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"echo": {
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"fn": "evalsrv.vllm_client.VllmModel.score_thought",
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"thought_echo": true,
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"fields": "lp_thought=lpC(z_C|x), mean logprob per byte; lp_own / lp_empty not computed (null)"
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},
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"corpus": {
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"corpus_epoch": 40,
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"manifest_sha256": "fe61418440d66487e8887f1c98f577e82e870b8734d6e92a9aa6a1b399c7dd54",
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"schema_version": 3,
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"view_spec": "duel_turns@v4",
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"corpus_base_url": "https://data.affine.io"
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},
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"weight_version_key": 14,
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"merged_at": "2026-09-15T13:31:09.803283+00:00",
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"turn_ids_file": "/mnt/fast/shared/gendata_49k/ids/all.txt",
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"n_turn_ids": 49341,
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"n_turns": 49341,
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"n_missing": 0,
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"missing_by_error": {},
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"parts": [
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{
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"file": "/mnt/fast/shared/gendata_49k/out/part_0.jsonl",
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"n_turns": 12336
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},
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{
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"file": "/mnt/fast/shared/gendata_49k/out/part_1.jsonl",
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"n_turns": 12335
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},
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{
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"file": "/mnt/fast/shared/gendata_49k/out/part_2.jsonl",
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"n_turns": 12335
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},
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{
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"file": "/mnt/fast/shared/gendata_49k/out/part_3.jsonl",
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"n_turns": 12335
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}
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]
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}
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README.md
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# missing
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Teacher rollouts (k=3, temperature 0.8, max_tokens 1792) with thought echo scores for
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49,341 of the 49,341 Affine corpus-D turn_ids in
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[`vuhaian/49k_missing`](https://huggingface.co/datasets/vuhaian/49k_missing) (`turn_ids.txt`),
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at corpus epoch 40 (manifest `fe61418440d6`, view `duel_turns@v4`).
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## Generation
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- Teacher `Qwen/Qwen3.8-27B@1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0`, vLLM 0.28.0, TP=1 x 32 replicas (4 x 8 H200)
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- Prompt `evalsrv.chat.gen_prompt` (ends inside `<think>`); 3 samples per turn in one `n=3` request,
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max_tokens = `[duel]` max_thought_tokens 1024 + max_action_tokens 768 = 1792
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- Split `evalsrv.chat.split_rollout`: z = thought, y = action
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- Echo: `lp_thought` = lpC(z|x), mean logprob per byte (`VllmModel.score_thought`);
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`lp_own` / `lp_empty` are not computed (null)
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Per turn: `turn_id, action_kind, source, stratum, corpus_epoch, prompt_tail, max_tokens,
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temperature, n_parsed, rollouts[3]`. Per rollout: `raw` (completion as sampled), `reasoning`,
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`content`, `z`, `y`, `parsed`, `finish_reason`, `prompt_tokens`, `completion_tokens`,
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`think_closed`, `lp_thought`, `lp_own`, `lp_empty`. Prompts are not stored.
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Rows follow the order of `turn_ids.txt`.
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## Files
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- `49k_missing_e40.jsonl`: 49,341 turns
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- `49k_missing_e40.meta.json`: teacher / sampling / echo / corpus stamps
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- `49k_missing_e40.errors.jsonl`: 0 turn_ids without a row ({})
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## Stats
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- 148,023 rollouts: 92.1% parsed, 89.7% closed `</think>`,
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12.5% hit max_tokens; 2,043 turns with 0/3 parsed
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- mean prompt 4,337 tokens, mean completion 513 tokens
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- action_kind: bash 24,551, tool_call 15,097, text 8,674, terminus_json 880, boxed 139
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