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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01metrum-ai /manipulation-resistant-prompts-1536-1536 Dataset Card: manipulation-resistant-prompts-1536-1536 Dataset Description This dataset contains prompts with specified target word counts for both input prompts and target outputs, designed to test and evaluate language models across different length requirements. Word counts are defined as whitespace-separated tokens, providing a consistent and human-interpretable measure of text length. These datasets are typically used in performance benchmarking of language models… See the full description on the dataset page: https://huggingface.co/datasets/metrum-ai/manipulation-resistant-prompts-1536-1536.tabulartext-generationn<1K0 likes26 downloads11mo agoHugging Face02metrum-ai /manipulation-resistant-prompts-1536-96 Dataset Card: manipulation-resistant-prompts-1536-96 Dataset Description This dataset contains prompts with specified target word counts for both input prompts and target outputs, designed to test and evaluate language models across different length requirements. Word counts are defined as whitespace-separated tokens, providing a consistent and human-interpretable measure of text length. These datasets are typically used in performance benchmarking of language models… See the full description on the dataset page: https://huggingface.co/datasets/metrum-ai/manipulation-resistant-prompts-1536-96.tabulartext-generationn<1K0 likes25 downloads11mo agoHugging Face03metrum-ai /manipulation-resistant-prompts-96-96 Dataset Card: manipulation-resistant-prompts-96-96 Dataset Description This dataset contains prompts with specified target word counts for both input prompts and target outputs, designed to test and evaluate language models across different length requirements. Word counts are defined as whitespace-separated tokens, providing a consistent and human-interpretable measure of text length. These datasets are typically used in performance benchmarking of language models, where… See the full description on the dataset page: https://huggingface.co/datasets/metrum-ai/manipulation-resistant-prompts-96-96.tabulartext-generationn<1K0 likes16 downloads11mo agoHugging Face04metrum-ai /manipulation-resistant-prompts-96-1536 Dataset Card: manipulation-resistant-prompts-96-1536 Dataset Description This dataset contains prompts with specified target word counts for both input prompts and target outputs, designed to test and evaluate language models across different length requirements. Word counts are defined as whitespace-separated tokens, providing a consistent and human-interpretable measure of text length. These datasets are typically used in performance benchmarking of language models… See the full description on the dataset page: https://huggingface.co/datasets/metrum-ai/manipulation-resistant-prompts-96-1536.tabulartext-generationn<1K0 likes14 downloads11mo agoHugging Face05dvyomkesh /nemo-bit-manipulation-from084-r32-1712 Nemo Bit Manipulation SDPO/RLSD Inspection Set This dataset is an inspection archive for the dedicated bit_manipulation continuation experiments from NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 using the post-SDPO 0.84 adapter. The Hugging Face viewer uses stable Parquet splits: train: one row per curated bit group. samples: one row per rollout/teacher sample, with completion preview and tail fields. holdout: two 0/8 groups held out because the source CoT was not verified as exact.… See the full description on the dataset page: https://huggingface.co/datasets/dvyomkesh/nemo-bit-manipulation-from084-r32-1712.tabulartext-generation10K<n<100K0 likes4 downloads4mo agoHugging Face

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