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RLVE Teacher Top-16 Logit Data (20K)
Teacher top-k logit sidecar data for continuation-style KD-SFT warmup
(see compute_teacher_topk_logprobs.py / KDContinuationDataset).
Each row holds, per response token, the teacher's top-16 (+ forced true token)
candidate token ids and their log-probabilities, joined to the base dataset by
row_id.
Configs
- rlve_offline_20K — 20,000 rows (
rlve_offline_20K_teacher_top16.parquet) - rlve_rose_20K — 20,000 rows (
rlve_rose_20K_teacher_top16.parquet)
Schema
| column | type | description |
|---|---|---|
row_id |
int64 | join key to the base RLVE dataset |
response_token_len |
int32 | number of response tokens |
teacher_topk_ids |
list[list[int64]] | (seq, top_k+1) top-k candidate token ids (true token forced in) |
teacher_topk_logprobs |
list[list[float32]] | (seq, top_k+1) teacher log-probs for those candidates |
top_k = 16, width = 17.
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