| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - instruction-following |
| - ifeval |
| - sft |
| - rejection-sampling |
| pretty_name: IF Oracle SFT |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: "if_oracle_sft-*.parquet" |
| --- |
| |
| # IF Oracle SFT |
|
|
| Oracle instruction-following SFT data built by rejection sampling from |
| **willhx/Qwen3-8B-Base-IF**. |
|
|
| ## How it was made |
|
|
| - **Policy:** `willhx/Qwen3-8B-Base-IF` (a trained IF RL checkpoint). |
| - **Prompts:** the full `allenai/IF_multi_constraints_upto5`-derived training set |
| (`IF_multi_constraints_upto5_ifbench_en`, 88,832 prompts covered). |
| - **Sampling:** 8 responses per prompt, temperature 1.0, max 8192 response tokens |
| (rollout via slime + SGLang, `--debug-rollout-only`). |
| - **Reward:** rule-based IFEval-G (`rm_type=multi`) — the fraction of the prompt's |
| instruction constraints that a response satisfies. |
| - **Oracle filter:** only responses with **reward == 1.0** (ALL constraints |
| satisfied) are kept. A prompt may contribute multiple oracle responses. |
|
|
| ## Columns |
|
|
| | column | description | |
| |---|---| |
| | `prompt` | user instruction (clean text) | |
| | `response` | model response that satisfies all constraints | |
| | `messages` | `[{user}, {assistant}]` chat form of the pair | |
| | `reward` | always `1.0` (oracle) | |
| | `instruction_id_list` | IFEval-G instruction ids the prompt imposes | |
| | `kwargs` | JSON string of per-instruction arguments | |
| | `source`, `record_id`, `rm_type` | provenance from the source dataset | |
| | `rollout_id` | which rollout batch the sample came from | |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("willhx/if_oracle_sft", split="train") |
| ``` |
|
|
