[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$apiParty6fBuHLCPZ1LTYs42XHdVbjpSDOYYPYzyxeAGwSN5Tp8":3,"$apiPartycpYUGDw1PFkT9xfrNwtv8y4zfHLyXsC-Trf1PjgTb7k":563,"$apiPartycpYUGDw1PFkT9xfrNwtv8y4zfHLyXsC-Trf1PjgTb7k$H93EERW16b":563},{"product_data":4,"scene_data":21,"task_data":407,"modality_data":441,"domain_data":478},[5,9,12,15,18],{"name":6,"value":7,"add_value":8,"describe":8},"Rivo","1","",{"name":10,"value":11,"add_value":8,"describe":8},"Cubo","2",{"name":13,"value":14,"add_value":8,"describe":8},"Moye","3",{"name":16,"value":17,"add_value":8,"describe":8},"Juro","4",{"name":19,"value":20,"add_value":8,"describe":8},"Ordo","5",[22,73,135,197,232,267,302,337,372],{"name":23,"value":7,"add_value":24,"describe":25,"children":26},"Home & Indoor","sofa","AI enhances everyday home life. Our datasets cover real indoor scenes to support smart devices, robotics, and home intelligence.",[27,29,31,33,35,37,40,43,46,49,52,55,58,61,64,67,70],{"name":28,"value":7},"Living Room",{"name":30,"value":11},"Bedroom",{"name":32,"value":14},"Kitchen",{"name":34,"value":17},"Dining Area",{"name":36,"value":20},"Bathroom",{"name":38,"value":39},"Entrance \u002F Foyer","6",{"name":41,"value":42},"Corridor \u002F Hallway","7",{"name":44,"value":45},"Staircase","8",{"name":47,"value":48},"Home Office","9",{"name":50,"value":51},"Hobby \u002F Game Room","10",{"name":53,"value":54},"Worship Space","11",{"name":56,"value":57},"Garage","12",{"name":59,"value":60},"Utility \u002F Laundry Room","13",{"name":62,"value":63},"Pantry","14",{"name":65,"value":66},"Basement","15",{"name":68,"value":69},"Garden","16",{"name":71,"value":72},"Balcony","17",{"name":74,"value":11,"add_value":75,"describe":76,"children":77},"Office & Educational","workshop","AI is reshaping work and learning. Our datasets capture offices and classrooms to power automation and next-generation productivity tools.",[78,81,84,87,90,93,96,99,102,105,108,111,114,117,120,123,126,129,132],{"name":79,"value":80},"Open Office","18",{"name":82,"value":83},"Private Office","19",{"name":85,"value":86},"Co-working Space","20",{"name":88,"value":89},"Reception \u002F Lobby","21",{"name":91,"value":92},"Conference Room","22",{"name":94,"value":95},"Huddle Room \u002F Booth","23",{"name":97,"value":98},"Lecture Hall \u002F Auditorium","24",{"name":100,"value":101},"Classroom","25",{"name":103,"value":104},"Science Laboratory","26",{"name":106,"value":107},"Library","27",{"name":109,"value":110},"Design Studio","28",{"name":112,"value":113},"Pantry \u002F Breakroom","29",{"name":115,"value":116},"Cafeteria \u002F Canteen","30",{"name":118,"value":119},"Restroom (Commercial)","31",{"name":121,"value":122},"Gymnasium \u002F Sports Hall","32",{"name":124,"value":125},"Server Room","33",{"name":127,"value":128},"Mailroom \u002F Logistics","34",{"name":130,"value":131},"Janitorial Closet","35",{"name":133,"value":134},"Corridor \u002F Elevators","36",{"name":136,"value":14,"add_value":137,"describe":138,"children":139},"Healthcare & Medical","love-and-help","AI is advancing modern healthcare. Our datasets include clinics and hospitals to enable clinical insights and medical automation.",[140,143,146,149,152,155,158,161,164,167,170,173,176,179,182,185,188,191,194],{"name":141,"value":142},"Operating Theatre \u002F OR","37",{"name":144,"value":145},"Consultation Room","38",{"name":147,"value":148},"Treatment Room","39",{"name":150,"value":151},"Dental Clinic","40",{"name":153,"value":154},"Inpatient Ward","41",{"name":156,"value":157},"Nurse Station","42",{"name":159,"value":160},"ICU","43",{"name":162,"value":163},"NICU (Neonatal ICU)","44",{"name":165,"value":166},"Emergency Room (ER)","45",{"name":168,"value":169},"Hospital Corridor","46",{"name":171,"value":172},"Waiting Area","47",{"name":174,"value":175},"CT\u002FMRI","48",{"name":177,"value":178},"Medical Laboratory","49",{"name":180,"value":181},"Phlebotomy Room","50",{"name":183,"value":184},"Rehabilitation Gym","51",{"name":186,"value":187},"Assisted Living Room","52",{"name":189,"value":190},"Pharmacy","53",{"name":192,"value":193},"Sterile Processing Dept","54",{"name":195,"value":196},"Medical Storage","55",{"name":198,"value":17,"add_value":199,"describe":200,"children":201},"Business & Public Service","business","AI is elevating commercial and public services. Our datasets span retail, dining, and service centers to improve intelligent operations.",[202,205,208,211,214,217,220,223,226,229],{"name":203,"value":204},"Shopping Mall Atrium","86",{"name":206,"value":207},"Supermarket Shelf","87",{"name":209,"value":210},"Self-Checkout Counter","88",{"name":212,"value":213},"Restaurant Dining Hall","89",{"name":215,"value":216},"Commercial Kitchen","90",{"name":218,"value":219},"Hotel Lobby","91",{"name":221,"value":222},"Subway Platform","92",{"name":224,"value":225},"Security Checkpoint","93",{"name":227,"value":228},"Underground Parking","94",{"name":230,"value":231},"Bank Teller Zone","95",{"name":233,"value":20,"add_value":234,"describe":235,"children":236},"Industrial & Manufacturing","robot-arm","AI is modernizing industry. Our datasets capture factories and logistics spaces to support robotics and intelligent manufacturing.",[237,240,243,246,249,252,255,258,261,264],{"name":238,"value":239},"Final Assembly Line","96",{"name":241,"value":242},"Quality Control Station","97",{"name":244,"value":245},"Robotic Welding Cell","98",{"name":247,"value":248},"CNC Machining Center","99",{"name":250,"value":251},"Cleanroom","100",{"name":253,"value":254},"Automated Warehouse","101",{"name":256,"value":257},"Loading Dock","102",{"name":259,"value":260},"Sorting Center","103",{"name":262,"value":263},"Chemical Plant","104",{"name":265,"value":266},"Power Substation","105",{"name":268,"value":39,"add_value":269,"describe":270,"children":271},"Transportation & Driving","car","AI is revolutionizing mobility. Our datasets capture road networks, vehicle dynamics and traffic scenarios to support autonomous driving and intelligent transportation systems.",[272,275,278,281,284,287,290,293,296,299],{"name":273,"value":274},"Urban Intersection","56",{"name":276,"value":277},"Highway \u002F Expressway","57",{"name":279,"value":280},"Tunnel","58",{"name":282,"value":283},"Roundabout","59",{"name":285,"value":286},"School \u002F Hospital Zone","60",{"name":288,"value":289},"Toll Station","61",{"name":291,"value":292},"Construction Zone","62",{"name":294,"value":295},"Parking Garage","63",{"name":297,"value":298},"Driver Cabin","64",{"name":300,"value":301},"Adverse Weather","65",{"name":303,"value":42,"add_value":304,"describe":305,"children":306},"Outdoor & Construction","tent-tree","AI is optimizing outdoor operations. Our datasets capture construction sites, open-air work zones and outdoor infrastructure to support smart construction and autonomous outdoor machinery.",[307,310,313,316,319,322,325,328,331,334],{"name":308,"value":309},"Excavation Site","66",{"name":311,"value":312},"Scaffolding Area","67",{"name":314,"value":315},"Material Storage Yard","68",{"name":317,"value":318},"Site Entrance","69",{"name":320,"value":321},"Roadwork Zone","70",{"name":323,"value":324},"Bridge Infrastructure","71",{"name":326,"value":327},"Transmission Line","72",{"name":329,"value":330},"Open-pit Mine","73",{"name":332,"value":333},"Tunneling Site","74",{"name":335,"value":336},"Post-Disaster Rubble","75",{"name":338,"value":45,"add_value":339,"describe":340,"children":341},"Nature, Aerial & Aquatic","global-loop","AI is exploring the natural world. Our datasets capture terrestrial landscapes, aerial vistas and aquatic ecosystems to support environmental monitoring and autonomous exploration systems.",[342,345,348,351,354,357,360,363,366,369],{"name":343,"value":344},"Deep Forest","76",{"name":346,"value":347},"Farmland \u002F Crops","77",{"name":349,"value":350},"River \u002F Lake","78",{"name":352,"value":353},"Open Ocean","79",{"name":355,"value":356},"Underwater Coral Reef","80",{"name":358,"value":359},"Fish Farm","81",{"name":361,"value":362},"Mountain Terrain","82",{"name":364,"value":365},"Urban Low Altitude","83",{"name":367,"value":368},"Fire Scene","84",{"name":370,"value":371},"Desert \u002F Gobi","85",{"name":373,"value":48,"add_value":374,"describe":375,"children":376},"Virtul & Digital","siri","AI is reshaping the virtual realm. 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座舱，通过语音、手势、面部识别等实现人机交互，如语音控制导航、音乐播放。\n驾驶员状态监测：识别疲劳、分心、抽烟、打电话等行为，通过大模型判断危险等级，触发相应提醒或干预机制。\n智能驾驶：AI 用于环境感知、路径规划与决策控制，使车辆能识别道路、行人、障碍物等，实现自适应巡航、自动泊车、车道保持等功能，提升驾驶安全性与便利性。",{"id":492,"value":492,"name":136,"intro":493,"add_value":137,"describe":493},4,"医学影像诊断：分析 CT、MRI 等影像，辅助医生检测疾病、识别病灶，如 AI 系统可快速发现肺部结节。\n医患对话助手：通过自然语言处理理解患者问题，提供初步健康建议或就诊指导，缓解医生接诊压力。\n智能健康管理：根据用户健康数据，提供个性化健康建议、疾病预警，如智能手环结合 AI 分析用户运动、睡眠、心率等数据。",{"id":495,"value":495,"name":496,"intro":497,"add_value":498,"describe":497},6,"Smart Devices","多模态交互：支持语音、手势、眼神等多种交互方式，如 AI 眼镜可通过语音指令实现翻译、搜索功能。\n智能感知与处理：使设备能感知环境、理解用户需求，如智能音箱根据环境噪音自动调节音量。\n个性化服务：根据用户使用习惯和偏好，提供个性化功能与服务，如智能手表为用户定制运动健身计划。","microscope",{"id":500,"value":500,"name":501,"intro":502,"add_value":503,"describe":502},8,"Law & 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E-commerce","智能客服：通过自然语言对话理解用户需求，提供产品推荐、订单查询、退换货支持等服务，提升客户满意度。\n个性化营销推荐：基于用户浏览、购买、偏好等行为数据，生成个性化推荐内容与优惠策略，提高转化率和客单价。\n商品内容生成：自动撰写商品标题、卖点描述、使用说明等内容，适用于海量SKU的内容生产与多语言发布。","buy",{"id":520,"value":520,"name":521,"intro":522,"add_value":523,"describe":8},10,"Security & Protection",null,"safe-shield-line",{"id":525,"value":525,"name":526,"intro":522,"add_value":527,"describe":8},11,"Environment & Climate","weather",{"id":529,"value":529,"name":530,"intro":522,"add_value":531,"describe":8},12,"Energy & Resource","energy-leaf",{"id":533,"value":533,"name":534,"intro":522,"add_value":535,"describe":8},13,"Express & Logistics","speed-outline",{"id":537,"value":537,"name":538,"intro":522,"add_value":539,"describe":8},15,"Sports","baseball-outline",{"id":541,"value":541,"name":542,"intro":522,"add_value":543,"describe":8},16,"General Data","daily-booth",{"id":545,"value":545,"name":546,"intro":522,"add_value":547,"describe":8},17,"Content & Media","media",{"id":549,"value":549,"name":550,"intro":522,"add_value":551,"describe":8},18,"Construction","construction",{"id":553,"value":553,"name":554,"intro":522,"add_value":555,"describe":8},19,"IT & Telecom","tech",{"id":557,"value":557,"name":558,"intro":522,"add_value":498,"describe":8},20,"Science & Research",{"id":560,"value":560,"name":561,"intro":522,"add_value":562,"describe":8},21,"Language & Culture","lang",{"id":564,"unique_code":565,"title":566,"icon":8,"intro":567,"cate":483,"detail":568,"create_time":569,"update_time":570,"price":571,"view_count":572,"download_count":573,"unit":573,"amount":574,"is_create_order":573,"enterprise_id":488,"seo_keywords":575,"seo_description":576,"data_format":577,"file_size":578,"apply_scene":579,"training_task":580,"version":581,"dataset_type_id":492,"dataset_scene_id":529,"sample_file":582,"banner":8,"unit_name":8,"cate_name":449,"icon_url":8,"banner_url":8,"sample_file_url":8,"data_dict":583,"qa_list":609,"sample_metadatas":626,"text_sample_content":656,"enterprise_name":657,"enterprise_logo":658,"data_distribution":659},1122,"9f0f490fa92193618ba010bdc1cf3078","Offshore Oil Well Intervention Applicability Reasoning Q&A Dataset","Train models to assess offshore oil well intervention applicability and explain their reasoning from well facts and operational rules.","\u003Cp>Designed for offshore oil and gas production, this dataset provides question-answer samples about well conditions, candidate intervention criteria, operational prerequisites, and exclusion rules. Each sample asks the model to determine whether a candidate intervention meets the stated screening logic, explain the key reasoning, or identify information that is missing for a reliable decision. It supports logical reasoning evaluation, reasoning-focused supervised fine-tuning, and professional question-answering model development.\u003C\u002Fp>","2026-10-10 17:56:13","2026-10-19 17:19:11","0.00",29,0,5000,"offshore well intervention, oil and gas dataset, intervention applicability, logical reasoning Q&A, well operation screening, reasoning SFT, domain Q&A data, offshore oil and gas","Logical reasoning Q&A for offshore well interventions, covering applicability decisions, evidence, and missing information for reasoning SFT and evaluation.","JSON","0.3GB","offshore oil well intervention, well maintenance assessment, oilfield operations management","applicability assessment, rule-based reasoning, evidence-based question answering","V1.0","rivo\u002Fsample-packages\u002Fdefdbcb8-6b13-4a34-a977-db897ecddcf6\u002F20261010.zip",[584,589,594,599,604],{"id":573,"name":585,"field":586,"intro":587,"type":588},"File Name","file_name","File name","string",{"id":590,"name":591,"field":592,"intro":593,"type":588},8160,"Input Scenario and Question","input_context","The source text containing well facts, candidate intervention criteria, operational prerequisites, exclusion rules, and the question to be answered.",{"id":595,"name":596,"field":597,"intro":598,"type":588},8161,"Reasoning Basis","reasoning_basis","The key well facts, candidate criteria, prerequisites, or exclusion rules supporting the assessment, and how they relate logically.",{"id":600,"name":601,"field":602,"intro":603,"type":588},8162,"Missing Information","missing_information","Information that could affect the assessment but is not provided or cannot be confirmed in the input. Enter none if no information is missing.",{"id":605,"name":606,"field":607,"intro":608,"type":588},8163,"Applicability Assessment","applicability_result","The result of assessing the candidate against the input conditions. Use only satisfied, not satisfied, or insufficient information.",[610,614,618,622],{"id":611,"question":612,"answer":613},5942,"What does the dataset contain?","Samples focus on offshore oil well intervention and include well facts, candidate criteria, operational prerequisites, exclusion rules, and questions. Answer fields provide an applicability decision, its reasoning basis, and any missing information.",{"id":615,"question":616,"answer":617},5943,"How are the samples structured?","The data is organized as question-answer text with four fields: input scenario and question, applicability result, reasoning basis, and missing information. Results use the labels \"satisfied,\" \"not satisfied,\" or \"insufficient information,\" supporting training and evaluation of reasoning over conditions and rules.",{"id":619,"question":620,"answer":621},5944,"Which training and evaluation tasks does it support?","The dataset can support reasoning-focused supervised fine-tuning, professional question-answering model development, and evaluation of candidate screening, evidence-based explanations, and missing-information detection. It is intended for model training and assisted analysis, not as a substitute for field engineering review or operational safety procedures.",{"id":623,"question":624,"answer":625},5945,"How can the data be obtained, and what are the licensing terms?","Please refer to the dataset product page or provider's license terms for availability, delivery format, and permitted uses. Before use, confirm that the license covers the intended training, evaluation, or commercial application, and follow applicable industry standards and compliance requirements.",[627,639,648],{"id":628,"relate_table":629,"relate_id":630,"file_size":573,"file_name":631,"path":8,"duration":573,"cate":483,"file_format":632,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":633,"cate_name":634,"input_context":635,"reasoning_basis":636,"missing_information":637,"applicability_result":638},14770,"union_cubo",991324453,"样例_3.json","json","{\"input_context\": \"Well status: The well is shut in, and the required pressure barriers have been verified. Candidate: a coiled-tubing cleanout. Preconditions: the well must be shut in, the required barriers must be verified, and compatibility of the planned pressure-control equipment with the well configuration must be confirmed. Exclusion rule: reject the candidate if a stated precondition is known to be unmet. The available records do not confirm or rule out equipment compatibility. Question: Is the candidate suitable under the stated screening rules?\", \"reasoning_basis\": \"The shut-in status and barrier verification requirements are confirmed. However, the rules also require confirmed compatibility of the planned pressure-control equipment, and the available records do not establish whether that condition is met. The candidate therefore cannot be classified as suitable or unsuitable from the stated facts.\", \"missing_information\": \"Confirmation of whether the planned pressure-control equipment is compatible with the well configuration.\", \"applicability_result\": \"Insufficient information\"}","文本","Well status: The well is shut in, and the required pressure barriers have been verified. Candidate: a coiled-tubing cleanout. Preconditions: the well must be shut in, the required barriers must be verified, and compatibility of the planned pressure-control equipment with the well configuration must be confirmed. Exclusion rule: reject the candidate if a stated precondition is known to be unmet. The available records do not confirm or rule out equipment compatibility. Question: Is the candidate suitable under the stated screening rules?","The shut-in status and barrier verification requirements are confirmed. However, the rules also require confirmed compatibility of the planned pressure-control equipment, and the available records do not establish whether that condition is met. The candidate therefore cannot be classified as suitable or unsuitable from the stated facts.","Confirmation of whether the planned pressure-control equipment is compatible with the well configuration.","Insufficient information",{"id":640,"relate_table":629,"relate_id":641,"file_size":573,"file_name":642,"path":8,"duration":573,"cate":483,"file_format":632,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":643,"cate_name":634,"input_context":644,"reasoning_basis":645,"missing_information":646,"applicability_result":647},14769,789896287,"样例_2.json","{\"input_context\": \"Well status: The well is shut in, but verification of one required pressure barrier has not passed. The forecast operating conditions are within the limits stated in the intervention plan. Candidate: a wireline diagnostic intervention. Preconditions: the well must be shut in, all required barriers must pass verification, and forecast conditions must remain within the plan limits. Exclusion rule: reject the candidate if any precondition is not met. Question: Is the candidate suitable under the stated screening rules?\", \"reasoning_basis\": \"The well is shut in and forecast conditions are within the plan limits, but one required pressure barrier has not passed verification. Because the rules require all barriers to pass and exclude any candidate that fails a precondition, the candidate is not suitable.\", \"missing_information\": \"None\", \"applicability_result\": \"Not satisfied\"}","Well status: The well is shut in, but verification of one required pressure barrier has not passed. The forecast operating conditions are within the limits stated in the intervention plan. Candidate: a wireline diagnostic intervention. Preconditions: the well must be shut in, all required barriers must pass verification, and forecast conditions must remain within the plan limits. Exclusion rule: reject the candidate if any precondition is not met. Question: Is the candidate suitable under the stated screening rules?","The well is shut in and forecast conditions are within the plan limits, but one required pressure barrier has not passed verification. Because the rules require all barriers to pass and exclude any candidate that fails a precondition, the candidate is not suitable.","None","Not satisfied",{"id":649,"relate_table":629,"relate_id":650,"file_size":573,"file_name":651,"path":8,"duration":573,"cate":483,"file_format":632,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":652,"cate_name":634,"input_context":653,"reasoning_basis":654,"missing_information":646,"applicability_result":655},14768,484894809,"样例_1.json","{\"input_context\": \"Well status: The well is shut in, and the required pressure barriers have been verified. The forecast operating conditions are within the limits stated in the intervention plan. Candidate: a wireline diagnostic intervention. Preconditions: the well must be shut in, the required barriers must be verified, and forecast conditions must remain within the plan limits. Exclusion rule: reject the candidate if any precondition is not met. Question: Is the candidate suitable under the stated screening rules?\", \"reasoning_basis\": \"All three stated preconditions are met: the well is shut in, the required pressure barriers are verified, and forecast conditions are within the plan limits. The exclusion rule is therefore not triggered.\", \"missing_information\": \"None\", \"applicability_result\": \"Satisfied\"}","Well status: The well is shut in, and the required pressure barriers have been verified. The forecast operating conditions are within the limits stated in the intervention plan. Candidate: a wireline diagnostic intervention. Preconditions: the well must be shut in, the required barriers must be verified, and forecast conditions must remain within the plan limits. Exclusion rule: reject the candidate if any precondition is not met. Question: Is the candidate suitable under the stated screening rules?","All three stated preconditions are met: the well is shut in, the required pressure barriers are verified, and forecast conditions are within the plan limits. The exclusion rule is therefore not triggered.","Satisfied","{\"input_context\":\"Well status: The well is shut in, and the required pressure barriers have been verified. Candidate: a coiled-tubing cleanout. Preconditions: the well must be shut in, the required barriers must be verified, and compatibility of the planned pressure-control equipment with the well configuration must be confirmed. Exclusion rule: reject the candidate if a stated precondition is known to be unmet. The available records do not confirm or rule out equipment compatibility. Question: Is the candidate suitable under the stated screening rules?\",\"reasoning_basis\":\"The shut-in status and barrier verification requirements are confirmed. However, the rules also require confirmed compatibility of the planned pressure-control equipment, and the available records do not establish whether that condition is met. The candidate therefore cannot be classified as suitable or unsuitable from the stated facts.\",\"missing_information\":\"Confirmation of whether the planned pressure-control equipment is compatible with the well configuration.\",\"applicability_result\":\"Insufficient information\"}","MOBIUSI INC","https:\u002F\u002Fstatic.mobiusi.com\u002Fmobiwusi\u002F20250829\u002F7bf4ac62b4533e2b809998a6f1c5491e.png?Expires=1792463130&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=v6Tr8jBrdm4s5wU1SnnyGsYg%2Bhw%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_35%2Ch_35",[660,666],{"type":661,"title":662,"count_data":663},"bar","Length distribution",[664],{"name":665,"value":483},"1k lower",{"type":667,"title":668,"count_data":669},"pie","Language distribution",[670],{"name":671,"value":483},"English"]