datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
animeshooter-multishot-iclora
AnimeShooter → LTX-2.3 IC-LoRA multi-shot training pairs
276 reference-guided multi-shot training pairs derived from the
AnimeShooter dataset
(Qiu et al., 2025, arXiv:2506.03126), formatted for the
ltx-community/ltx2-lora-trainer
Space in IC-LoRA mode.
Each sample is:
videos/<id>.mp4 — a ~5.2s clip (126 frames, H.264) spanning 2–3 consecutive shots
(real cuts inside the clip) from an animated YouTube video listed in AnimeShooter.
videos/<id>_reference.png — a 768×512… See the full description on the dataset page: https://huggingface.co/datasets/linoyts/animeshooter-multishot-iclora.superhero-texts-multishot-evals
Multi‑Shot Prompting on rlogh/superhero-texts — Results
This dataset repo hosts the evaluation artifacts (Dataset Card + metrics) for a prompt‑based classifier evaluated on
rlogh/superhero-texts.
Method Card
Task. Binary text classification. Input: short superhero description. Output: DC or Marvel.
Data. rlogh/superhero-texts (Hugging Face). Splits: augmented (≈1.1k), original (≈100).Dataset: https://huggingface.co/datasets/rlogh/superhero-texts
Train/Val/Test logic.•… See the full description on the dataset page: https://huggingface.co/datasets/0408happyfeet/superhero-texts-multishot-evals.FRACTURED-SORRY-Bench-Automated-Multishot-Jailbreak
FRACTURED-SORRY-Bench: Framework for Revealing Attacks in Conversational Turns Undermining Refusal Efficacy and Defenses over SORRY-Bench (Automated Multi-shot Jailbreaks)
Dataset Card for FRACTURED-SORRY-Bench Dataset
🌐Website
📑Paper
📚Dataset
💻Github
FRACTURED-SORRY-Bench is a framework for evaluating the safety of Large Language Models (LLMs) against multi-turn conversational attacks. Building upon the SORRY-Bench dataset, we propose a simple… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/FRACTURED-SORRY-Bench-Automated-Multishot-Jailbreak.multishot_20kDataset_Multi-Modal_Few-Shot_Learning_for_Anthesis_Prediction_of_Individual_Wheat_Plantspreprocessed-leetcode-multi-shottrain_multishot_COD_parquetmulti-shotmulti_one_shot0616-few_shot_multi_attr_prompt_dset0616-plan_few_shot_multi_attr_prompt_dset0620-non_adversarial_few_shot_multi_attr_prompt_dsetmultishot-routing-results