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jayshah5696/humanize-rl-prime-sft-messages-env0315-clean50

jayshah5696/humanize-rl-prime-sft-messages-env0315-clean50 Prime prime-rl supervised fine-tuning dataset for Humanize-RL. This is the env0315_clean50 S2 repair-data candidate. It starts from the env0314 Prime SFT corpus and adds cleaned env0315 repair references generated from saved Prime rollout-audit failures. Splits split rows train 4358 validation 242 test 243 total 4843 Sources source rows safe_expand_3000_raw… See the full description on the dataset page: https://huggingface.co/datasets/jayshah5696/humanize-rl-prime-sft-messages-env0315-clean50.

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face
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Dataset Card

jayshah5696/humanize-rl-prime-sft-messages-env0315-clean50

Prime prime-rl supervised fine-tuning dataset for Humanize-RL.

This is the env0315_clean50 S2 repair-data candidate. It starts from the env0314 Prime SFT corpus and adds cleaned env0315 repair references generated from saved Prime rollout-audit failures.

Splits

splitrows
train4358
validation242
test243
total4843

Sources

sourcerows
safeexpand3000_raw1801
stream_b1556
safeexpandraw667
chat_expanded423
unknown326
primefailurereference_generation70

Accepted repair-reference rows: 70.

Modes

moderows
rewrite_humanize2999
direct_generation1803
rewrite20
tone_shift7
longformgenerate7
compression4
multiconstraintcompose2
expansion1

Schema

Each row includes a messages column with exactly two turns:

json
[
  {"role": "user", "content": "..."},
  {"role": "assistant", "content": "..."}
]

Extra columns preserve provenance for auditing and filtering.

Intended Use

Use this dataset for the S2 Qwen 2B Prime dataset-SFT ablation. Do not treat it as a promoted model result by itself. SFT output still has to beat base on the frozen eval prompts, pass the detector-mimic gate, pass human read, and pass the SFT promotion gate before any RL-after-SFT launch.