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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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01BananaMind /BananaMind-Base-Bench-1.1gated BananaMind Base Bench 1.1 BananaMind Base Bench 1.1 is an English text-completion benchmark for base causal language models. It contains 350 individually authored examples across seven categories and reports one fixed-scale Overall Elo score. This is not an instruction-following benchmark. Models receive plain text followed by four possible continuations. The official runner selects the continuation with the highest mean conditional token log-probability. It does not use a chat… See the full description on the dataset page: https://huggingface.co/datasets/BananaMind/BananaMind-Base-Bench-1.1.tabulartext-generationn<1K11 likes291 downloads1mo agoHugging Face02BananaMind /BananaMind-Safety-Bench-1.1 BananaMind Safety Bench 1.1 BananaMind Safety Bench 1.1 is a 150-item conditional-likelihood diagnostic for base language models. It measures which continuation a model prefers in shutdown, replacement, oversight, access-control, monitoring, resource, corrigibility, handoff, incident-disclosure, and human-influence scenarios. Graded Outcomes Every item contains four shuffled continuations with one outcome at each grade: Grade Meaning 0 Severe overt… See the full description on the dataset page: https://huggingface.co/datasets/BananaMind/BananaMind-Safety-Bench-1.1.textquestion-answeringn<1K2 likes135 downloads1mo agoHugging Face03trshen925 /robolab-pi05-banana-in-bowl-100 RoboLab pi0.5 BananaInBowl trajectories 100 complete RoboLab simulation trajectories collected with OpenPI pi0.5 (pi05_droid_jointpos) on BananaInBowlTask. Banana and bowl initial poses are randomized within the 20 cm variant. Each run HDF5 preserves complete trajectories, two RGB camera streams, proprioception, actions, full simulator states, initial state, camera extrinsics, bounding boxes, and subtask records. The viewport stream was removed. Images are lossless uint8 RGB… See the full description on the dataset page: https://huggingface.co/datasets/trshen925/robolab-pi05-banana-in-bowl-100.tabularn<1K0 likes95 downloads2d agoHugging Face04Axi404 /GenManip-Banana-Layoutstextn<1K0 likes72 downloads1y agoHugging Face05vkehfdl1 /banana-merged Banana-Merged A synthetic multi-page visual question answering dataset with hard negatives, designed for fine-tuning visual document retrievers like ColFlor and ColPali. Dataset Summary Banana-Merged contains 1,100 training samples and 10,054 images (positive pages + hard negative variants). Each sample pairs a multi-page analytical query with a set of document images that collectively contain the answer, plus one or more hard negative documents that look visually and… See the full description on the dataset page: https://huggingface.co/datasets/vkehfdl1/banana-merged.imagevisual-question-answering1K<n<10K0 likes52 downloads5mo agoHugging Face06aarajbhattarai /nepali-banana-instruct-test Nepali Source-Grounded Instruction Dataset Synthetic instruction-tuning dataset in Nepali, generated with NVIDIA NeMo Data Designer from authoritative Nepali documents (agriculture manuals from the Government of Nepal fruit development program, and legal texts). Every answer is grounded strictly in the source documents; unanswerable questions are answered with an explicit refusal sentence. 90 records (chat messages format + rich metadata) 15 task types: factual retrieval… See the full description on the dataset page: https://huggingface.co/datasets/aarajbhattarai/nepali-banana-instruct-test.texttext-generationn<1K0 likes25 downloads1mo agoHugging Face07BananaMind /BananaMind-Instruct-Bench-1.1gated BananaMind Instruct Bench 1.1 BananaMind Instruct Bench 1.1 is the second version of the open BananaMind Instruct Bench. It is now Elo-based and expands the benchmark to a deterministic 300-example evaluation for small instruction-tuned and chat language models. It measures general task completion, multi-turn behavior, system-prompt following, in-context recall, and Python generation. The dataset is intended to be gated on Hugging Face. Accept the repository access conditions… See the full description on the dataset page: https://huggingface.co/datasets/BananaMind/BananaMind-Instruct-Bench-1.1.tabulartext-generationn<1K7 likes23 downloads2mo agoHugging Face08AtharavJadhav /Bananatextn<1K0 likes13 downloads3y agoHugging Face09banana224 /sn38r6-u60-subtextn<1K0 likes12 downloads2mo agoHugging Face10banana224 /sn38r5-u60-subtextn<1K0 likes10 downloads2mo agoHugging Face11banana224 /sn38r4-u60-subtextn<1K0 likes9 downloads2mo agoHugging Face12duckyano /big-banana-dataset-v2 BIG Banana Dataset v2 Synthetic instruction-response JSONL dataset used to train BIG Banana identity behavior. Format per line: {"prompt":"...","response":"..."} textn<1K0 likes6 downloads7mo agoHugging Face13banana224 /sn38r3-u60-subtextn<1K0 likes4 downloads2mo agoHugging Face14Danielouo /bananatextn<1K0 likes3 downloads1y agoHugging Face

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