Datasets:

jadhavmanasi70
/

adaption-missing-person-structured-records

prompt stringlengths 9 43.2k ⌀	completion stringlengths 1 28.7k	enhanced_prompt stringlengths 9 42k	enhanced_completion stringlengths 278 169k	reasoning_trace stringlengths 47 161k ⌀	applicable_case_type stringclasses 5 values	companion_status stringclasses 4 values	district stringclasses 15 values	domain stringclasses 1 value	estimated_age int64 5 82 ⌀	gender stringclasses 2 values	initial_risk_level stringclasses 3 values	language stringclasses 12 values	language_code stringclasses 12 values	last_seen_location stringclasses 15 values	last_seen_time stringclasses 6 values	legal_priority stringclasses 3 values	location_type stringclasses 6 values	medical_conditions stringclasses 10 values	missing_duration stringclasses 8 values	original_context stringlengths 418 675 ⌀	person_type stringclasses 5 values	physical_description stringlengths 55 67 ⌀	raw_report stringlengths 109 233 ⌀	recommended_procedure_focus stringclasses 5 values	report_id stringlengths 19 19 ⌀	row_embedding listlengths 1.02k 1.02k ⌀	row_searchable_text stringlengths 1.18k 7.15k ⌀	source stringclasses 1 value	split stringclasses 2 values	state stringclasses 12 values	suspected_circumstances stringclasses 10 values	transportation_used stringclasses 6 values	vulnerability stringclasses 5 values	weather stringclasses 5 values
या बेपत्ता व्यक्तीच्या तक्रारीचे रूपांतर संरचित चौकशी बुद्धिमत्ता रेकॉर्डमध्ये करा: माझा मुलगा, वय २१, २ दिवसांपासून बेपत्ता आहे. तो शेवटी अहमदाबाद रेल्वे स्थानकाजवळ दिसला होता. कपडे: निळा टी-शर्ट आणि काळा शॉर्ट्स. त्याने अनवधानाने ट्रेन घेतली असावी. आरोग्य स्थिती: कोणतीही माहिती नाही.	PERSON_TYPE: प्रौढ स्त्री ESTIMATED_AGE: २१ GENDER: महिला LAST_SEEN_LOCATION: अहमदाबाद रेल्वे स्थानक LAST_SEEN_TIME: सकाळ MISSING_DURATION: २ दिवस PHYSICAL_DESCRIPTION: निळा टी-शर्ट आणि काळा शॉर्ट्स; वय अंदाजे २१; लिंग महिला MEDICAL_OR_VULNERABILITY_NOTES: कोणतीही माहिती नाही SUSPECTED_CIRCUMSTANCES: अनवधानाने ट्रेन घे...	तुम्ही एक सहाय्यक आहात जो बेपत्ता व्यक्तींच्या तक्रारींचे विश्लेषण करून त्यांना 'संरचित चौकशी बुद्धिमत्ता रेकॉर्ड' (Structured Investigation Intelligence Record) मध्ये रूपांतरित करतो. खालील इनपुट डेटामध्ये मूळ तक्रार, पुनरावृत्ती झालेली माहिती, आणि विखुरलेली कीवर्ड्स/निरीक्षणे समाविष्ट आहेत. तुमचे कार्य खालीलप्रमाणे आ...	संरचित चौकशी बुद्धिमत्ता रेकॉर्ड (Structured Investigation Intelligence Record) १. व्यक्तीची माहिती * वय: २१ वर्षे * लिंग: विसंगती आढळली (मूळ तक्रारीत 'मुलगा' म्हणून नमूद, तर विखुरलेल्या नोट्समध्ये 'प्रौढ महिला/स्त्री' असा उल्लेख) * कपडे: निळा टी-शर्ट आणि काळे शॉर्ट्स * शारीरिक वर्णन: उपलब्ध ना...	Alright, let me carefully read through this prompt. I need to act as an assistant analyzing missing persons complaints and convert the provided input data into a 'Structured Investigation Intelligence Record' (संरचित चौकशी बुद्धिमत्ता रेकॉर्ड) in Marathi. The prompt gives me specific steps: 1. Data Compilation: Read a...	missing_woman	possibly with unknown person	Ahmedabad	missing_person_legal_intelligence	21	female	CRITICAL	Gujarati	gu	Ahmedabad Railway Station	morning	IMMEDIATE	transport_hub	none known	2 days	મારો/મારી son, ઉંમર 21, 2 daysથી ગુમ છે. છેલ્લે Ahmedabad Railway Station પાસે જોવા મળ્યા હતા. કપડાં: blue T-shirt and black shorts. may have taken a train unknowingly. આરોગ્ય સ્થિતિ: none known. adult_woman 21 female blue T-shirt and black shorts; age approximately 21; gender female none known Ahmedabad Railway ...	adult_woman	blue T-shirt and black shorts; age approximately 21; gender female	મારો/મારી son, ઉંમર 21, 2 daysથી ગુમ છે. છેલ્લે Ahmedabad Railway Station પાસે જોવા મળ્યા હતા. કપડાં: blue T-shirt and black shorts. may have taken a train unknowingly. આરોગ્ય સ્થિતિ: none known.	record complaint, assess safety risk, and check transport nodes	tracenet_mpic_00772	null	null	synthetic_seed_for_autoscientist	train	Gujarat	may have taken a train unknowingly	auto-rickshaw seen nearby	gender-based safety risk	rain
ఈ మిస్సింగ్ పర్సన్ ఫిర్యాదును నిర్మాణాత్మక దర్యాప్తు ఇంటెలిజెన్స్ రికార్డ్‌గా మార్చండి: నా కుమారుడు, వయసు 78, 3 రోజులుగా కనిపించడం లేదు. చివరిసారిగా ఢిల్లీ ఐఎస్‌బీటీ (ISBT) దగ్గర కనిపించారు. బట్టలు: ఎరుపు కుర్తా మరియు తెల్లటి లెగ్గింగ్స్. చివరిసారిగా ఒంటరిగా కనిపించారు. ఆరోగ్య స్థితి: డిమెన్షియా లక్షణాలు.	వ్యక్తి రకం: వృద్ధుడు అంచనా వయసు: 78 లింగం: పురుషుడు చివరిసారి కనిపించిన ప్రదేశం: ఢిల్లీ ఐఎస్‌బీటీ (Delhi ISBT) చివరిసారి కనిపించిన సమయం: రాత్రి కనిపించకుండా ఉన్న కాలం: 3 రోజులు శారీరక వివరణ: ఎరుపు కుర్తా మరియు తెల్లటి లెగ్గింగ్స్; వయసు సుమారు 78; లింగం పురుషుడు వైద్య లేదా ప్రమాదకర పరిస్థితుల గమనికలు: డిమెన్షియా లక్షణా...	మీరు ఒక నిర్మాణాత్మక డిజిటల్ ఇంటెలిజెన్స్ రికార్డ్‌ను రూపొందించే నిపుణులు. కింద ఇవ్వబడిన మిస్సింగ్ పర్సన్ ఫిర్యాదు వివరాల ఆధారంగా, సమాచారాన్ని స్పష్టంగా, క్రమబద్ధంగా మరియు అధికారికంగా నిర్మించండి. సూచనలు: 1. అందించిన ముడి సమాచారాన్ని విశ్లేషించండి. 2. వ్యక్తిగత వివరాలు, చివరిసారి కనిపించిన స్థలం మరియు సమయం, దుస్తు...	అధికారిక డిజిటల్ ఇంటెలిజెన్స్ రికార్డు - మిస్సింగ్ పర్సన్ 1. వ్యక్తిగత వివరాలు * వయస్సు: 78 సంవత్సరాలు * లింగం: పురుషుడు * ఫిర్యాదుదారుడితో సంబంధం: కుమారుడు * అదృశ్యమైన కాలం: 3 రోజులు 2. చివరిసారి కనిపించిన వివరాలు * ప్రదేశం: ఢిల్లీ ఐఎస్‌బీటీ (ISBT) పరిసరాలు * సమయం: 3 రోజుల క్రితం ...	Alright, I need to process this missing person complaint and structure it into a formal digital intelligence record. The prompt is in Telugu, so I must respond in Telugu. I also need to draw on my experience with Delhi law enforcement and missing elderly cases to make this record actionable and professional, without ex...	missing_elderly	with family earlier	New Delhi	missing_person_legal_intelligence	78	male	CRITICAL	Kannada	kn	Delhi ISBT	night	IMMEDIATE	transport_hub	dementia symptoms	3 days	ನನ್ನ son, ವಯಸ್ಸು 78, 3 days ಇಂದ ಕಾಣೆಯಾಗಿದ್ದಾರೆ. ಕೊನೆಯಾಗಿ Delhi ISBT ಬಳಿ ಕಂಡುಬಂದಿದ್ದಾರೆ. ಬಟ್ಟೆ: red kurta and white leggings. last seen alone. ಆರೋಗ್ಯ ಸ್ಥಿತಿ: dementia symptoms. elderly 78 male red kurta and white leggings; age approximately 78; gender male dementia symptoms Delhi ISBT transport_hub night 3 days...	elderly	red kurta and white leggings; age approximately 78; gender male	ನನ್ನ son, ವಯಸ್ಸು 78, 3 days ಇಂದ ಕಾಣೆಯಾಗಿದ್ದಾರೆ. ಕೊನೆಯಾಗಿ Delhi ISBT ಬಳಿ ಕಂಡುಬಂದಿದ್ದಾರೆ. ಬಟ್ಟೆ: red kurta and white leggings. last seen alone. ಆರೋಗ್ಯ ಸ್ಥಿತಿ: dementia symptoms.	circulate alert to nearby police stations and check hospitals/shelters	tracenet_mpic_00920	null	null	synthetic_seed_for_autoscientist	train	Delhi	last seen alone	unknown	age-related vulnerability	rain
Convert this missing-person complaint into a structured investigation intelligence record: My brother, aged 6, has been missing for 3 days. He was last seen near Chennai Central. Clothing: orange sweater and slippers. He went to buy groceries and did not return. Health condition: hearing difficulty.	PERSON_TYPE: child ESTIMATED_AGE: 6 GENDER: male LAST_SEEN_LOCATION: Chennai Central LAST_SEEN_TIME: evening MISSING_DURATION: 3 days PHYSICAL_DESCRIPTION: orange sweater and slippers; age approximately 6; gender male MEDICAL_OR_VULNERABILITY_NOTES: hearing difficulty SUSPECTED_CIRCUMSTANCES: went to buy groceries and ...	Convert the following missing-person complaint text into a structured investigation intelligence record. Extract all relevant details and format them clearly. Input Text: "My brother, aged 6, has been missing for 3 days. He was last seen near Chennai Central. Clothing: orange sweater and slippers. He went to buy groce...	INTELLIGENCE RECORD: MISSING CHILD CASE CASE PRIORITY: CRITICAL / IMMEDIATE ACTION REQUIRED CLASSIFICATION: Missing Minor (Vulnerable) 1. SUBJECT PROFILE * Category: Minor * Age: 6 Years * Gender: Male * Relation to Informant: Brother * Clothing: Orange sweater and slippe...	Okay, let me break down this input carefully. It's a missing child complaint, and the text is repeated, but then there's a structured breakdown at the bottom. I need to convert all of this into a formal intelligence record for immediate operational use. First, the core details: A 6-year-old male child, the brother of ...	missing_minor	unknown	Chennai	missing_person_legal_intelligence	6	male	CRITICAL	Punjabi	pa	Chennai Central	evening	IMMEDIATE	transport_hub	hearing difficulty	3 days	ਮੇਰਾ/ਮੇਰੀ brother, ਉਮਰ 6, 3 days ਤੋਂ ਲਾਪਤਾ ਹੈ। ਆਖਰੀ ਵਾਰ Chennai Central ਨੇੜੇ ਦੇਖਿਆ ਗਿਆ। ਕੱਪੜੇ: orange sweater and slippers. went to buy groceries and did not return. ਸਿਹਤ: hearing difficulty. child 6 male orange sweater and slippers; age approximately 6; gender male hearing difficulty Chennai Central transport_h...	child	orange sweater and slippers; age approximately 6; gender male	ਮੇਰਾ/ਮੇਰੀ brother, ਉਮਰ 6, 3 days ਤੋਂ ਲਾਪਤਾ ਹੈ। ਆਖਰੀ ਵਾਰ Chennai Central ਨੇੜੇ ਦੇਖਿਆ ਗਿਆ। ਕੱਪੜੇ: orange sweater and slippers. went to buy groceries and did not return. ਸਿਹਤ: hearing difficulty.	register missing person FIR immediately and alert child protection channels	tracenet_mpic_01606	null	null	synthetic_seed_for_autoscientist	train	Tamil Nadu	went to buy groceries and did not return	auto-rickshaw seen nearby	minor	rain
આ ગુમ થયેલ વ્યક્તિની ફરિયાદને સંરચિત તપાસ બુદ્ધિમત્તા રેકોર્ડમાં ફેરવો: મારી માતા, ઉમર 46 વર્ષ, છેલ્લા 12 કલાકથી ગુમ છે. તેમને છેલ્લે મુંબઈ CST ની આસપાસ જોવામાં આવ્યા હતા. કપડાં: શાળાનો યુનિફોર્મ અને વાદળી બેગ. છેલ્લા સંપર્ક પછી ફોન બંધ છે. સ્વાસ્થ્ય: ડિમેન્શિયાના લક્ષણો.	વ્યક્તિનો પ્રકાર: અપાહિજ વ્યક્તિ અંદાજિત ઉમર: 46 લિંગ: મહિલા છેલ્લે જોવા મળ્યાનું સ્થળ: મુંબઈ CST છેલ્લે જોવા મળ્યાનો સમય: સાંજે લગભગ 7 વાગ્યે ગુમ થયાનો સમયગાળો: 12 કલાક શારીરિક વર્ણન: શાળાનો યુનિફોર્મ અને વાદળી બેગ; ઉમર લગભગ 46; લિંગ મહિલા તબીબી અથવા નાજુકતા નોંધો: ડિમેન્શિયાના લક્ષણો સંદિગ્ધ પરિસ્થિતિઓ: છેલ્લા સંપર્ક...	# ભૂમિકા તમે એક તપાસ બુદ્ધિમત્તિ (Investigative Intelligence) વિશેષજ્ઞ છો. તમારું કાર્ય નીચે આપેલ ગુમ થયેલ વ્યક્તિની ફરિયાદનું વિશ્લેષણ કરીને તેને એક સંરચિત તપાસ બુદ્ધિમત્તિ રેકોર્ડમાં ફેરવવાનું છે. # સૂચનાઓ 1. ડેટા પ્રોસેસિંગ: નીચે આપેલ કાચા ઇનપુટ ડેટા (જેમાં બારીકીઓ, પુનરાવર્તન અને અસંરચિત નોંધો શામેલ છે) નું કા...	# તપાસ બુદ્ધિમત્તિ રેકોર્ડ: ગુમ થયેલ વ્યક્તિ ૧. વ્યક્તિગત વિગતો * ઉંમર: ૪૬ વર્ષ * લિંગ: સ્ત્રી * શારીરિક વર્ણન: વિકલાંગ/સંજ્ઞાત્મક નબળાઈ ધરાવતી સંવેદનશીલ વ્યક્તિ (વિશિષ્ટ શારીરિક ઓળખ હાલ ઉપલબ્ધ નથી) * કપડાં અને સામાન: શાળાનો યુનિફોર્મ અને વાદળી રંગનો થેલો (બેગ) ૨. ગુમ થવાની વિગતો * સ્થળ: મ...	The prompt asks me to act as an Investigative Intelligence specialist and convert a raw, messy missing person complaint into a structured record. The input data is in Gujarati, so my output must also be in Gujarati. Let me break down the raw data and map it to the required sections. First, I need to parse the raw inpu...	missing_vulnerable_person	possibly with unknown person	Mumbai	missing_person_legal_intelligence	46	female	CRITICAL	Punjabi	pa	Mumbai CST	around 7 PM	IMMEDIATE	transport_hub	dementia symptoms	12 hours	ਮੇਰਾ/ਮੇਰੀ mother, ਉਮਰ 46, 12 hours ਤੋਂ ਲਾਪਤਾ ਹੈ। ਆਖਰੀ ਵਾਰ Mumbai CST ਨੇੜੇ ਦੇਖਿਆ ਗਿਆ। ਕੱਪੜੇ: school uniform with blue bag. phone switched off since last contact. ਸਿਹਤ: dementia symptoms. person_with_disability 46 female school uniform with blue bag; age approximately 46; gender female dementia symptoms Mumbai CST ...	person_with_disability	school uniform with blue bag; age approximately 46; gender female	ਮੇਰਾ/ਮੇਰੀ mother, ਉਮਰ 46, 12 hours ਤੋਂ ਲਾਪਤਾ ਹੈ। ਆਖਰੀ ਵਾਰ Mumbai CST ਨੇੜੇ ਦੇਖਿਆ ਗਿਆ। ਕੱਪੜੇ: school uniform with blue bag. phone switched off since last contact. ਸਿਹਤ: dementia symptoms.	prioritize search due to vulnerability and coordinate with local services	tracenet_mpic_01138	null	null	synthetic_seed_for_autoscientist	train	Maharashtra	phone switched off since last contact	train possible	disability or cognitive vulnerability	rain
এই নিখোঁজ ব্যক্তির অভিযোগটিকে একটি কাঠামোগত তদন্ত বুদ্ধিবৃত্তিক রেকর্ডে রূপান্তর করুন: আমার মা, বয়স ১১, গত ২ দিন ধরে নিখোঁজ আছেন। শেষবার পুনে রেলওয়ে স্টেশনের কাছে দেখা গিয়েছিল। পোশাক: স্কুল ইউনিফর্ম এবং নীল ব্যাগ। শেষ যোগাযোগের পর থেকে ফোনটি বন্ধ আছে। স্বাস্থ্য: কোনো পরিচিত সমস্যা নেই।	ব্যক্তির ধরন: শিশু আনুমানিক বয়স: ১১ লিঙ্গ: মহিলা শেষ দেখা স্থান: পুনে রেলওয়ে স্টেশন শেষ দেখা সময়: সকাল নিখোঁজ থাকার সময়কাল: ২ দিন শারীরিক বিবরণ: স্কুল ইউনিফর্ম এবং নীল ব্যাগ; বয়স আনুমানিক ১১; লিঙ্গ মহিলা চিকিৎসা বা ঝুঁকিপূর্ণ অবস্থার নোট: কোনো পরিচিত সমস্যা নেই সন্দেহজনক পরিস্থিতি: শেষ যোগাযোগের পর থেকে ফোনটি বন্ধ...	# ভূমিকা আপনি একজন বিশেষায়িত তদন্ত বিশ্লেষক। আপনার কাজ হলো নিচে প্রদত্ত নিখোঁজ ব্যক্তি সংক্রান্ত কাঁচা তথ্য এবং নোটগুলো বিশ্লেষণ করে একটি কাঠামোগত, বুদ্ধিবৃত্তিক তদন্ত রেকর্ড (Structured Investigative Intellectual Record) তৈরি করা। # নির্দেশাবলী ১. তথ্য সংরক্ষণ: নিচে প্রদত্ত সমস্ত মূল তথ্য, পর্যবেক্ষণ এবং নোটগুলো...	# কাঠামোগত তদন্ত বুদ্ধিবৃত্তিক রেকর্ড (Structured Investigative Intellectual Record) মামলার ধরন: নিখোঁজ শিশু / অপ্রাপ্তবয়স্ক অগ্রাধিকার স্তর: জরুরি / তাৎক্ষণিক এলাকা: পুনে রেলওয়ে স্টেশন (পরিবহন কেন্দ্র) --- ### ১. ব্যক্তিগত বিবরণ (Personal Details) * বয়স: ১১ * লিঙ্গ: মহিলা * **শ্রেণীবিভাগ:...	I need to analyze this raw data about a missing person and convert it into a Structured Investigative Intellectual Record in Bengali. Let me break down the input carefully. First, let me parse the raw data. The input contains narrative statements and fragmented notes: - "আমার মা, বয়স ১১, গত ২ দিন ধরে নিখোঁজ আছেন। শেষ...	missing_minor	alone	Pune	missing_person_legal_intelligence	11	female	CRITICAL	Punjabi	pa	Pune Railway Station	morning	IMMEDIATE	transport_hub	none known	2 days	ਮੇਰਾ/ਮੇਰੀ mother, ਉਮਰ 11, 2 days ਤੋਂ ਲਾਪਤਾ ਹੈ। ਆਖਰੀ ਵਾਰ Pune Railway Station ਨੇੜੇ ਦੇਖਿਆ ਗਿਆ। ਕੱਪੜੇ: school uniform with blue bag. phone switched off since last contact. ਸਿਹਤ: none known. child 11 female school uniform with blue bag; age approximately 11; gender female none known Pune Railway Station transport_hu...	child	school uniform with blue bag; age approximately 11; gender female	ਮੇਰਾ/ਮੇਰੀ mother, ਉਮਰ 11, 2 days ਤੋਂ ਲਾਪਤਾ ਹੈ। ਆਖਰੀ ਵਾਰ Pune Railway Station ਨੇੜੇ ਦੇਖਿਆ ਗਿਆ। ਕੱਪੜੇ: school uniform with blue bag. phone switched off since last contact. ਸਿਹਤ: none known.	register missing person FIR immediately and alert child protection channels	tracenet_mpic_00226	null	null	synthetic_seed_for_autoscientist	train	Maharashtra	phone switched off since last contact	bus possible	minor	heat
Convert this missing-person complaint into a structured investigation intelligence record: আমার relative, বয়স 45, 3 days ধরে নিখোঁজ। শেষবার district hospital campus এর কাছে দেখা গেছে। পোশাক: blue T-shirt and black shorts. left home after an argument. স্বাস্থ্য অবস্থা: recent injury.	PERSON_TYPE: adult_woman ESTIMATED_AGE: 45 GENDER: female LAST_SEEN_LOCATION: district hospital campus LAST_SEEN_TIME: around 7 PM MISSING_DURATION: 3 days PHYSICAL_DESCRIPTION: blue T-shirt and black shorts; age approximately 45; gender female MEDICAL_OR_VULNERABILITY_NOTES: recent injury SUSPECTED_CIRCUMSTANCES: left...	Convert the following missing-person complaint data into a structured investigation intelligence record. Extract all details accurately and organize them into a formal report format. --- START OF RAW INPUT DATA --- আমার relative, বয়স 45, 3 days ধরে নিখোঁজ। শেষবার district hospital campus এর কাছে দেখা গেছ। পোশাক: blue...	# MISSING PERSON INVESTIGATION INTELLIGENCE RECORD Case Classification: Missing Adult Female Priority Level: URGENT / HIGH RISK Case Status: Open / Active Investigation --- ### 1. SUBJECT DEMOGRAPHICS * Gender: Female * Age: 45 Years * Classification: Adult Woman * **Relation to Complai...	I need to parse this raw missing person data and convert it into a structured intelligence record. The input is a mix of Bengali and English, with some repeated narrative text followed by structured data fields. Let me break down what I have. First, the narrative portion (repeated twice): - "আমার relative" - My relati...	missing_woman	possibly with unknown person	Indore	missing_person_legal_intelligence	45	female	HIGH	Bengali	bn	district hospital campus	around 7 PM	URGENT	hospital_area	recent injury	3 days	আমার relative, বয়স 45, 3 days ধরে নিখোঁজ। শেষবার district hospital campus এর কাছে দেখা গেছে। পোশাক: blue T-shirt and black shorts. left home after an argument. স্বাস্থ্য অবস্থা: recent injury. adult_woman 45 female blue T-shirt and black shorts; age approximately 45; gender female recent injury district hospital ...	adult_woman	blue T-shirt and black shorts; age approximately 45; gender female	আমার relative, বয়স 45, 3 days ধরে নিখোঁজ। শেষবার district hospital campus এর কাছে দেখা গেছে। পোশাক: blue T-shirt and black shorts. left home after an argument. স্বাস্থ্য অবস্থা: recent injury.	record complaint, assess safety risk, and check transport nodes	tracenet_mpic_01193	null	null	synthetic_seed_for_autoscientist	train	Madhya Pradesh	left home after an argument	unknown	gender-based safety risk	clear
Convert this missing-person complaint into a structured investigation intelligence record: मेरा father, उम्र 35 साल, 2 days से लापता है। आखिरी बार village fair ground के पास देखा गया था। कपड़े: school uniform with blue bag. not carrying money or documents. स्वास्थ्य स्थिति: hearing difficulty.	PERSON_TYPE: adult_man ESTIMATED_AGE: 35 GENDER: male LAST_SEEN_LOCATION: village fair ground LAST_SEEN_TIME: around 9 AM MISSING_DURATION: 2 days PHYSICAL_DESCRIPTION: school uniform with blue bag; age approximately 35; gender male MEDICAL_OR_VULNERABILITY_NOTES: hearing difficulty SUSPECTED_CIRCUMSTANCES: not carryin...	# Task: Convert Missing-Person Complaint to Structured Intelligence Record ## Instructions Analyze the provided raw complaint text below. Extract all relevant entities and contextual details to populate a structured investigation intelligence record. Ensure the output strictly follows the field order and format demons...	INVESTIGATION INTELLIGENCE RECORD: MISSING PERSON 1. Demographics * Relation: मेरा father * Person Type: adult_man * Age: 35 (उम्र 35 साल) * Gender: male * Case Classification: missing_adult 2. Last Seen Location * Location: village fair ground के पास * **Event Contex...	I need to carefully analyze this raw complaint text and convert it into a structured intelligence record. Let me break down what's in front of me. The complaint text is a mix of Hindi and English, which I need to preserve in descriptive fields as instructed. There's something odd here — the complaint appears to be dup...	missing_adult	possibly with unknown person	Rajkot Rural	missing_person_legal_intelligence	35	male	HIGH	Hindi	hi	village fair ground	around 9 AM	URGENT	public_event	hearing difficulty	2 days	मेरा father, उम्र 35 साल, 2 days से लापता है। आखिरी बार village fair ground के पास देखा गया था। कपड़े: school uniform with blue bag. not carrying money or documents. स्वास्थ्य स्थिति: hearing difficulty. adult_man 35 male school uniform with blue bag; age approximately 35; gender male hearing difficulty village f...	adult_man	school uniform with blue bag; age approximately 35; gender male	मेरा father, उम्र 35 साल, 2 days से लापता है। आखिरी बार village fair ground के पास देखा गया था। कपड़े: school uniform with blue bag. not carrying money or documents. स्वास्थ्य स्थिति: hearing difficulty.	record missing complaint and begin location-based checks	tracenet_mpic_00506	null	null	synthetic_seed_for_autoscientist	train	Rural Gujarat	not carrying money or documents	unknown	none reported	rain
"ಈ ಕಾಣೆಯಾದ ವ್ಯಕ್ತಿಯ ದೂರನ್ನು ರಚನಾತ್ಮಕ (...TRUNCATED)	"ವ್ಯಕ್ತಿಯ ಪ್ರಕಾರ: ಮಗು\nಅಂದಾಜು ವಯಸ್ಸು: 6\n(...TRUNCATED)	"ನೀವು ಒಬ್ಬ ತನಿಖಾ ವಿಶ್ಲೇಷಕರಾಗಿ ವರ್ತಿಸ(...TRUNCATED)	"**ರಚನಾತ್ಮಕ ತನಿಖಾ ಬುದ್ಧಿಮತ್ತೆ ದಾಖಲೆ (Struc(...TRUNCATED)	"Alright, I need to act as an investigative analyst and create a Structured Investigative Intelligen(...TRUNCATED)	missing_minor	alone	New Delhi	missing_person_legal_intelligence	6	female	CRITICAL	Bengali	bn	Delhi ISBT	around 9 AM	IMMEDIATE	transport_hub	dementia symptoms	2 days	"আমার son, বয়স 6, 2 days ধরে নিখোঁজ। শেষবার Delhi ISBT(...TRUNCATED)	child	blue T-shirt and black shorts; age approximately 6; gender female	"আমার son, বয়স 6, 2 days ধরে নিখোঁজ। শেষবার Delhi ISBT(...TRUNCATED)	register missing person FIR immediately and alert child protection channels	tracenet_mpic_00917	null	null	synthetic_seed_for_autoscientist	train	Delhi	last seen alone	unknown	minor	fog
"Convert this missing-person complaint into a structured investigation intelligence record:\nمیر(...TRUNCATED)	"PERSON_TYPE: adult_woman\nESTIMATED_AGE: 34\nGENDER: female\nLAST_SEEN_LOCATION: Nagpur Bus Stand\n(...TRUNCATED)	"# Task: Convert Missing Person Complaint to Structured Intelligence Record\n\nAnalyze the provided (...TRUNCATED)	"# MISSING PERSON INTELLIGENCE RECORD (MPIR)\n\nCase Priority: CRITICAL / IMMEDIATE \n**Record (...TRUNCATED)	"Okay, I need to convert this raw complaint data into a structured intelligence record for a missing(...TRUNCATED)	missing_woman	unknown	Nagpur	missing_person_legal_intelligence	34	female	CRITICAL	Urdu	ur	Nagpur Bus Stand	afternoon	IMMEDIATE	transport_hub	asthma	3 days	"میرا/میری mother، عمر 34، 3 days سے لاپتہ ہے۔ آخری بار Nagpur Bus Sta(...TRUNCATED)	adult_woman	orange sweater and slippers; age approximately 34; gender female	"میرا/میری mother، عمر 34، 3 days سے لاپتہ ہے۔ آخری بار Nagpur Bus Sta(...TRUNCATED)	record complaint, assess safety risk, and check transport nodes	tracenet_mpic_01884	null	null	synthetic_seed_for_autoscientist	train	Maharashtra	last seen near a railway platform	not known	gender-based safety risk	fog
"इस लापता व्यक्ति की शिकायत को एक संरच(...TRUNCATED)	"PERSON_TYPE: विकलांग व्यक्ति\nESTIMATED_AGE: 32\nGENDER: महिल(...TRUNCATED)	"आप एक वरिष्ठ जासूसी विश्लेषक हैं। आपक(...TRUNCATED)	"# संरचित जांच खुफिया रिकॉर्ड (Structured Investigativ(...TRUNCATED)	"Alright, I need to analyze this raw, unorganized data about a missing person and convert it into a (...TRUNCATED)	missing_vulnerable_person	with family earlier	Rajkot Rural	missing_person_legal_intelligence	32	female	CRITICAL	Malayalam	ml	village fair ground	morning	IMMEDIATE	public_event	mental health vulnerability	12 hours	"എന്റെ sister, വയസ് 32, 12 hours മുതൽ കാണാനില്ല. അവ(...TRUNCATED)	person_with_disability	pink frock with black shoes; age approximately 32; gender female	"എന്റെ sister, വയസ് 32, 12 hours മുതൽ കാണാനില്ല. അവ(...TRUNCATED)	prioritize search due to vulnerability and coordinate with local services	tracenet_mpic_02085	[-0.0007260857964865863,-0.008372033946216106,-0.03668643906712532,-0.02953728660941124,-0.002727966(...TRUNCATED)	"Prompt: आप एक वरिष्ठ जासूसी विश्लेषक हैं। (...TRUNCATED)	synthetic_seed_for_autoscientist	train	Rural Gujarat	last seen alone	bus possible	disability or cognitive vulnerability	clear

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This dataset is a remastered version prepared using Adaption's Adaptive Data platform.

adaption-missing_person_structured_records

This dataset contains pairs of missing-person complaints written in various Indian languages and English alongside their corresponding structured investigation intelligence records. Each completion extracts key entities such as age, gender, location, and medical vulnerabilities while assigning risk levels and recommending specific police actions. The data is designed to train models on converting unstructured narrative reports into standardized formats for law enforcement decision support.