datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nano-banana-pro-prompts-datasets
🖼️ Nano Banana Pro Prompt Dataset
🖼️ The ultimate Nano Banana Pro prompt dataset (6GB+). 26,000+ image generation prompts with full metadata and preview images. Truly open source: No login, no ads, no redirection. Just pure data for AI image creators.
This project is a massive collection of prompts used for Nano Banana Pro AI image model and the resulting generated images. The entire dataset exceeds 6GB and contains 26,000+ images, all structured into a comprehensive… See the full description on the dataset page: https://huggingface.co/datasets/Goku-OpenLab/nano-banana-pro-prompts-datasets.open-vision-banana-snvc-train-full
SNVC-50M v5_full — Multi-Task Vision Dataset
Description
This dataset is a curated subset of the SenseNova Vision Corpus 50M (SNVC-50M), containing 43,509 samples across 6 vision task families and 31 source datasets. Each sample follows a conversational format with interleaved <image> tokens, designed for training vision-language models (VLMs).
Coverage: 43,509 / 57,878 (75.2%) of the original sampling plan. 23 datasets at 100%, 8 partial, 12 unrecoverable… See the full description on the dataset page: https://huggingface.co/datasets/gatilin/open-vision-banana-snvc-train-full.banana-vidorev3-fullpipe
Banana ViDoRe v3 Fullpipe
Nano Banana Pro full-pipeline synthetic training data for ViDoRe v3 finance and industrial domains.
This repository contains 4670 training records and 40190 unique referenced images across
domain-separated ColFlor/ColQwen training splits. Images are included in the repository and paths in each JSONL are
relative to that domain directory.
Generated at: 2026-06-29T09:39:01.644860+00:00
Layout
finance/train.jsonl
finance/metadata.json… See the full description on the dataset page: https://huggingface.co/datasets/vkehfdl1/banana-vidorev3-fullpipe.banana-vidorev3-synthetic-arms
Banana ViDoRe v3 Synthetic Arms
Domain-separated ViDoRe v3 synthetic training arms for finance and industrial adaptation.
The Hub dataset uses finance and industrial as dataset configs/subsets. Within each config, splits separate
vlm_in_batch, vlm_ocr_bm25, banana_fullpipe, and hybrid_vlm_ocr_bm25_banana_fullpipe.
Generated at: 2026-06-29T11:49:45.670912+00:00
Total JSONL rows across configs/splits: 151691.
Images are stored once per subset under… See the full description on the dataset page: https://huggingface.co/datasets/vkehfdl1/banana-vidorev3-synthetic-arms.Med-Banana-80K
Med-Banana-50K: A Cross-modality Large-Scale Dataset for Text-guided Medical Image Editing
Paper Link | GitHub Repository
Summary
Med-Banana-50K is a comprehensive 50K-image dataset for instruction-based medical image editing spanning three modalities (Chest X-ray, Brain MRI, Fundus Photography) and 23 disease types. The dataset includes bidirectional edits (lesion addition and removal) generated from real medical images using Gemini-2.5-Flash-Image.
What… See the full description on the dataset page: https://huggingface.co/datasets/RichardChenZH/Med-Banana-80K.Cobot_Magic_cut_banana
Cobot_Magic_cut_banana
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: agilex_cobot_decoupled_magic
| Codebase Version: v2.1
End-Effector Type: two_finger_gripper
🏠 Scene Types
This dataset covers the following scene types:
home
restaurant
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
pick
cut
place
📊 Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Cobot_Magic_cut_banana.Agilex_Cobot_Magic_basket_storage_banana
Agilex_Cobot_Magic_basket_storage_banana
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: Agilex_Cobot_Magic
| Codebase Version: v2.1
End-Effector Type: two_finger_gripper
🏠 Scene Types
This dataset covers the following scene types:
home
kitchen
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
place
pick
📊 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Agilex_Cobot_Magic_basket_storage_banana.lllab-vision-banana-datasetpico-banana-smolvlm-format-with-rejected-answer
pico-banana-smolvlm-format-with-rejected-answer
Balanced image-level tampering detection dataset in SmolVLM-style format
with chosen/rejected answer pairs, derived from the pico-banana MCQ
pipeline. Suitable for preference learning (e.g. DPO) and RLHF-style training.
Dataset overview
Same as vanloc1808/pico-banana-smolvlm-format, but each example includes a
rejected_answer field: the answer from the counterpart sample (same
edited/original image pair, opposite… See the full description on the dataset page: https://huggingface.co/datasets/vanloc1808/pico-banana-smolvlm-format-with-rejected-answer.RMC-AIDA-L_basket_storage_banana
RMC-AIDA-L_basket_storage_banana
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: realman_rmc_aidal
| Codebase Version: v2.1
End-Effector Type: two_finger_gripper
🏠 Scene Types
This dataset covers the following scene types:
home
kitchen
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
pick
place
📊 Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/RMC-AIDA-L_basket_storage_banana.kuontolnano-banana
Nano-Banana Generated Images
9,457 high-quality images generated using the Nano-Banana model (Google Gemini 2.5 Flash Image Preview).
Dataset Overview
Total Images: 9,457 images
Generation Method: Nano-Banana (Google Gemini 2.5 Flash Image Preview)
Storage Format: Optimized binary (Hugging Face Image type)
File Organization: Normal large parquet files (not chunked)
License: MIT
Schema
Column
Type
Description
id
int
Unique identifier
image
Image… See the full description on the dataset page: https://huggingface.co/datasets/bitmind/nano-banana.bananaso100_banana_to_plate_onlyThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 120,
"total_frames": 31068,
"total_tasks": 1,
"total_videos": 240,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:120"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/VoicAndrei/so100_banana_to_plate_only.banana_bbox_subtaskpick-and-place-banana_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_piper_follower",
"total_episodes": 996,
"total_frames": 403881,
"total_tasks": 2,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:996"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/NONHUMAN-RESEARCH/pick-and-place-banana_v2.dual_arm_handover_bananaUse one robotic arm to pick up the banana and hand it to another robotic arm; the second arm receives it and then places it on the plate.
cover_banana_v2put_banana_bowl_new_dataThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 50,
"total_frames": 20402,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Mohamedal/put_banana_bowl_new_data.put_banana_bowl_last_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 50,
"total_frames": 20849,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Mohamedal/put_banana_bowl_last_test.VIBE-Banana-ProBanana100
Banana100: Image Degradation from 100 Iterative Edits Using Nano Banana Pro
📋 Dataset Summary
Banana100 is a dataset that demonstrates quality degradation caused by iterative editing with the state-of-the-art Nano Banana Pro model.
Single-step edits by modern models introduce imperceptible noise, but this noise compounds over repeated edits. Eventually, image quality degrades to an unusable level. The example below shows a failure case, in which adding a fruit… See the full description on the dataset page: https://huggingface.co/datasets/kenantang/Banana100.put_banana_bowlThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 30,
"total_frames": 9717,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:30"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/lirislab/put_banana_bowl.BANANAThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "fr3",
"total_episodes": 348,
"total_frames": 152076,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:348"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/yio-ye2004/BANANA.BananaMind-Base-Bench-1.1
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.so100_banana_pickplace_1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 31,
"total_frames": 13792,
"total_tasks": 1,
"total_videos": 31,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:31"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/imsyed00/so100_banana_pickplace_1.banana1231imgbedbanana-challenge-data
banana challenge — LeRobot dataset
Teleoperated demonstrations of "Place the banana into the basket" on an OpenArm +
Inspire Hand platform (right arm and hand only).
task
Place the banana into the basket (single instruction)
episodes / frames
54 / 16,202
fps
30
cameras
ego_left, ego_right — 640×360 RGB, stereo ego view
state / action
13-D absolute joint: 7 arm (openarm_right_joint1..7) + 6 hand (right_hand_{thumb_1,thumb_2,index_1,middle_1,ring_1… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/banana-challenge-data.put_banana_apple_in_pink_blue_platesThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"action": {
"dtype": "float32",
"shape": [
7
],
"names": [
"left_shoulder_pan_joint.pos",
"left_shoulder_lift_joint.pos",
"left_elbow_joint.pos",
"left_wrist_1_joint.pos"… See the full description on the dataset page: https://huggingface.co/datasets/khoviadin/put_banana_apple_in_pink_blue_plates.