antidoom-mix-v1.0

Antidoom Mix v1.0 [!Note] 📝 **Blog post**: https://www.liquid.ai/blog/antidoom 💻 **GitHub**: https://github.com/Liquid4All/antidoom Antidoom Mix v1.0 is a **prompt-only training mixture for antidoom-style generation** and preference-data pipelines. The dataset is intended to provide prompts only. Gold answers, rationales, hidden tests, verifier targets, and answer labels are intentionally removed. Terminal answer cues such as `Answer:` are stripped and rows with obvious answer traces are filtered out. The initial release excludes public eval/test prompt sets and noncommercial or unclear redistribution sources. Sources | source_id | source | split/config | license | final rows | | --- | --- | --- | --- | ---: | | `gsm8k_train` | `openai/gsm8k` | `main/train` | MIT | 7,473 | | `math_lighteval_train` | `DigitalLearningGmbH/MATH-lighteval` | 7 train configs | MIT | 7,499 | | `mmlu_auxiliary_train` | `cais/mmlu` | `all/auxiliary_train` | MIT | 50,000 | | `math_qa_train` | `allenai/math_qa` | `default/train` | Apache-2.0 | 29,836 | | `commonsense_qa_train` | `tau/commonsense_qa` | `default/train` | MIT | 9,741 | | `pubmedqa_artificial_train` | `pubmed_qa` | `pqa_artificial/train` | MIT | 50,000 | | `apps_train` | `codeparrot/apps` | `train` | MIT | 5,000 | | `open_perfectblend_metamathqa` | `meta-math/MetaMathQA` via `mlabonne/open-perfectblend` | train | MIT | 50,000 | | `open_perfectblend_ultrainteract` | `openbmb/UltraInteract_sft` via `mlabonne/open-perfectblend` | train | MIT | 49,540 | | `open_perfectblend_ultrachat200k` | `mlabonne/ultrachat_200k_sft`, from `HuggingFaceH4/ultrachat_200k`, via `mlabonne/open-perfectblend` | train | MIT | 49,958 | | `open_perfectblend_evol_codealpaca` | `theblackcat102/evol-codealpaca-v1` via `mlabonne/open-perfectblend` | train | Apache-2.0 | 49,981 | | `open_perfectblend_autoif` | `Post-training-Data-Flywheel/AutoIF-instruct-61k` via `mlabonne/open-perfectblend` | train | Apache-2.0 | 49,995 | | `open_perfectblend_lmsys_arena` | `m