| --- |
| license: other |
| license_name: multiple-source-licenses |
| license_link: https://huggingface.co/datasets/Offensive-AI-Lab/prism-training-dataset#license |
| language: |
| - en |
| task_categories: |
| - text-generation |
| pretty_name: PRISM training dataset |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # PRISM training dataset |
|
|
| This is the training dataset for *PRISM: Recovering Instruction Sets from |
| Language Model Activations*. Each record pairs an instruction-rich prompt with |
| a Qwen3.5-9B response and a generated list of the instructions in the prompt. |
| The released validity mask selects the records used to train the published |
| checkpoints. |
|
|
| ## Contents |
|
|
| | Source key | Upstream dataset | Records | Source license | |
| |---|---|---:|---| |
| | `if_eval` | [google/IFEval](https://huggingface.co/datasets/google/IFEval) | 492 | Apache-2.0 | |
| | `if_multi_constraints` | [allenai/IF_multi_constraints_upto5](https://huggingface.co/datasets/allenai/IF_multi_constraints_upto5) | 77,002 | ODC-By-1.0 | |
| | `ultrachat` | [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) | 200,002 | MIT | |
|
|
| The three JSONL files contain 277,496 records. `valid_record_ids.json` selects |
| 203,589 records after label-quality filtering. `source_inventory.json` records |
| the upstream URLs, revisions, licenses, included fields, and transformations. |
|
|
| Each JSONL record has: |
|
|
| | Field | Description | |
| |---|---| |
| | `id` | Stable record identifier | |
| | `source_dataset` | Source key from the table above | |
| | `prompt` | Instruction-rich user request | |
| | `response` | Response generated by Qwen3.5-9B | |
| | `instruction_set` | Generated instruction labels as a bulleted string | |
| | `metadata` | Generation metadata, including `paraphrase_group_id` where applicable | |
|
|
| ## Construction |
|
|
| Qwen3.5-9B generated both `response` and `instruction_set`. Instruction labels |
| were generated from the prompt alone at temperature 0.3. Rule-based checks and |
| an LLM judge filtered malformed or incomplete labels; this was label-quality |
| filtering, not content-safety filtering. |
|
|
| The training loaders split the complete records before applying the validity |
| mask. They use sorted input files, seed 42, validation and test ratios of 0.1, |
| and keep shared `paraphrase_group_id` values in one split. After masking: |
|
|
| | Split | Records | |
| |---|---:| |
| | Train | 162,821 | |
| | Validation | 20,410 | |
| | Test | 20,358 | |
|
|
| Keep the JSONL files and validity mask together; removing rejected records |
| before splitting changes membership. The exact validation procedure is in the |
| [`prism` repository](https://github.com/Offensive-AI-Lab/prism/blob/main/scripts/check_dataset.py). |
|
|
| ## Intended use |
|
|
| The dataset supports training and studying activation-conditioned instruction |
| recovery. It is the released input to the PRISM SFT and GRPO training recipes. |
| The repository also contains scripts for generating a new sample, but newly |
| generated records will not reproduce this release exactly. |
|
|
| ## Limitations |
|
|
| The data are primarily English. Responses and labels can contain Qwen3.5-9B |
| errors, omissions, or biases. The validity mask also applies to the validation |
| and test splits, so these splits measure performance on records accepted by the |
| same label-quality process. |
|
|
| ## License |
|
|
| This is a multi-license dataset. The `prompt` field retains the terms of its |
| source dataset: |
|
|
| - `if_eval`: Apache-2.0 |
| - `if_multi_constraints`: ODC-By-1.0 |
| - `ultrachat`: MIT |
|
|
| The PRISM authors release the project-generated `response`, `instruction_set`, |
| metadata, and validity mask under Apache-2.0 to the extent that they hold the |
| applicable rights. This does not replace the source terms. The |
| IF Multi-Constraints card also notes that some records contain third-party |
| model output subject to separate terms. Consult `source_inventory.json` before |
| redistributing a subset. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{gressel2026prism, |
| title = {PRISM: Recovering Instruction Sets from Language Model Activations}, |
| author = {Gressel, Gilad and Pankajakshan, Rahul and Diament, Julia and |
| Hudis, Efim and Achuthan, Krishnashree and Mirsky, Yisroel}, |
| booktitle = {Proceedings of the 2026 Conference on Empirical Methods in |
| Natural Language Processing}, |
| year = {2026}, |
| url = {https://arxiv.org/abs/2606.09563} |
| } |
| ``` |
|
|
