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01Tsumugii /soa-15.8-sid-11.5text1K<n<10K0 likes1.8k downloads2d agoHugging Face02Tsumugii /soa-65-sid-17text1K<n<10K0 likes1.7k downloads2d agoHugging Face03Tsumugii /soa-65-sid-15text1K<n<10K0 likes1.3k downloads2d agoHugging Face04Tsumugii /soa-15.8-sid-3.7text1K<n<10K0 likes1.1k downloads2d agoHugging Face05omi-health /medical-dialogue-to-soap-summary Dataset Card for Synthetic Medical Dialogues and SOAP Summaries Dataset Description Abstract This dataset consists of 10,000 synthetic dialogues between a patient and clinician, created using the GPT-4 dataset from NoteChat, based on PubMed Central (PMC) case-reports. Accompanying these dialogues are SOAP summaries generated through GPT-4. The dataset is split into 9250 training, 500 validation, and 250 test entries, each containing a dialogue column, a SOAP… See the full description on the dataset page: https://huggingface.co/datasets/omi-health/medical-dialogue-to-soap-summary.text10K<n<100K79 likes871 downloads2y agoHugging Face06Tsumugii /soa-21.9-sid-3.7text1K<n<10K0 likes661 downloads2d agoHugging Face07Tsumugii /soa-49.8-sid-46text1K<n<10K0 likes607 downloads2d agoHugging Face08Tsumugii /sid-39.4-soa-35.4text1K<n<10K0 likes604 downloads11h agoHugging Face09Tsumugii /soa-15.8-sid-26.1textn<1K0 likes587 downloads2d agoHugging Face10Tsumugii /soa-49.8-sid-35.6text1K<n<10K0 likes578 downloads2d agoHugging Face11Tsumugii /soa-65-sid-25text1K<n<10K0 likes576 downloads2d agoHugging Face12Tsumugii /soa-21.9-sid-11.5text1K<n<10K0 likes548 downloads2d agoHugging Face13Tsumugii /sid-40.8-soa-49.8text1K<n<10K0 likes498 downloads2d agoHugging Face14frederickwang99 /SoAyBench SoAyBench by WangYC We've based SoAyBench creation on AMiner. To really understand how well LLMs can use SoAPI, we need to make AMiner's basic SoAPIs available for LLMs to use. We also need a test set made up of academic (question, solution, answer) triplets for checking how they're doing. The tricky part is, academic data keeps changing fast – stuff like info on scholars and their publications. So, keeping a test set with fixed answers is tough. To tackle this, what we've done is… See the full description on the dataset page: https://huggingface.co/datasets/frederickwang99/SoAyBench.0 likes446 downloads2y agoHugging Face15madebyollin /soa-fullThis dataset is a shuffled list of downloadable CC0 image titles and URLs from Smithsonian Open Access. Some images may be omitted due to limitations or oversights in the preprocessing pipeline, but there's no deliberate curation. This dataset only contains metadata; a tool like https://github.com/rom1504/img2dataset can be used to download the actual images: img2dataset --url_list data --output_folder data_files \ --input_format "parquet" --output_format files \ --caption_col "text"… See the full description on the dataset page: https://huggingface.co/datasets/madebyollin/soa-full.text1M<n<10M9 likes425 downloads2y agoHugging Face16Tsumugii /soa-28.7-sod-11.50 likes414 downloads2d agoHugging Face17Dangvi /soarm100_dataThis dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so100", "total_episodes": 25, "total_frames": 11178, "total_tasks": 1, "total_videos": 50, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:25" }, "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/Dangvi/soarm100_data.tabularrobotics10K<n<100K0 likes388 downloads1y agoHugging Face18Tsumugii /soa-49.8-sid-30text1K<n<10K0 likes371 downloads2d agoHugging Face19Dangvi /soarm100_data2This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so100", "total_episodes": 25, "total_frames": 11150, "total_tasks": 1, "total_videos": 50, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:25" }, "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/Dangvi/soarm100_data2.tabularrobotics10K<n<100K0 likes364 downloads1y agoHugging Face20tatsuyaaaaaaa /so_arm101_grab_red_diceThis dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "so_follower", "total_episodes": 100, "total_frames": 116695, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 30, "splits": { "train": "0:100" }, "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/tatsuyaaaaaaa/so_arm101_grab_red_dice.tabularrobotics100K<n<1M0 likes361 downloads5mo agoHugging Face21Tsumugii /soa-15.8-sod-3.70 likes361 downloads2d agoHugging Face22Nfiniteai /so_arm_100_image_rnd_4This dataset was created using LeRobot. Dataset Description The SO ARM 100 test dataset series is an example dataset for testing purposes. It is a synthetic dataset from a high-fidelity pick and place task recorded from an expert policy trained in IsaacLab. The dataset consists of image observations, joint angle observations, and joint angle actions. There are five datasets in the series with varying degrees of domain randomization, as shown below. In addition to the state… See the full description on the dataset page: https://huggingface.co/datasets/Nfiniteai/so_arm_100_image_rnd_4.imagerobotics100K<n<1M0 likes339 downloads1y agoHugging Face23Tsumugii /soa-21.9-sod-11.5text1K<n<10K0 likes338 downloads2d agoHugging Face24Tsumugii /soa-15.8-sod-11.5text1K<n<10K0 likes335 downloads2d agoHugging Face25Tsumugii /soa-28.7-sid-3.7text1K<n<10K1 likes330 downloads2d agoHugging Face26Hadolking /SO_ARM101_6000videon<1K1 likes312 downloads10mo agoHugging Face27aipicasso /soa-full-florence2 Smithsonian Open Access Dataset with Florence-2 Caption 日本語はこちら This dataset is made of soa-full. soa-full is an CC-0 image dataset from Smithsonian Open Access. However, the dataset does not contain the image caption. Therefore, we caption the images by Florence 2. Usage from datasets import load_dataset dataset = load_dataset("aipicasso/soa-full-florence2") Intended Use Research Vision & Language Develop text-to-image model or image-to-text model.… See the full description on the dataset page: https://huggingface.co/datasets/aipicasso/soa-full-florence2.imageimage-to-text1M<n<10M10 likes305 downloads2y agoHugging Face28Tsumugii /soa-21.9-sod-3.7text1K<n<10K0 likes265 downloads2d agoHugging Face29MoAIBo /receiver_Lhandover_soapbottle_sceneC_subscene1_qi_V2This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "so101_tb4", "total_episodes": 7, "total_frames": 7350, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 30, "splits": { "train": "0:7" }, "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/MoAIBo/receiver_Lhandover_soapbottle_sceneC_subscene1_qi_V2.tabularrobotics1K<n<10K0 likes259 downloads17d agoHugging Face30Tsumugii /sid-31.6-soa-21.9text1K<n<10K0 likes256 downloads2d agoHugging Face

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