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Zindi_LMR

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[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Authorities are still searching for a National Guardsman who went missing during the massive #flooding in #Maryland.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Clean up operation continues after floods rip through Maryland", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "RT @ArmyTimes: Body found of Maryland National Guardsman who disappeared amid destructive flash flooding .", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "The National Guardman that was swept away by flood waters in Ellicott City, Maryland while trying to rescue a woman and her cat was found dead Tuesday in the Patapsco River, Howard County Police said.", "role": "user" }, { "content": "Ellicott City Howard County Maryland Patapsco River", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Sad news - Searchers find body of Maryland National Guardsman who went missing in Ellicott City flood", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "There is help for Maryland residents impacted by #ECFlood and other flooding over the weekend. Learn more about property assessments and tax relief from @MD_SDAT", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "The body of a National Guardsman who was swept away during massive flooding in Ellicott City, Maryland has been discovered authorities said Tuesday.", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Body of Man Found After Maryland Flash Flooding", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "It takes 1.2 secs to retweet and help find missing NAEEMAH ROCHON, 15 yrs old, from Laurel, Maryland missing since May 31, 2014.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "swept away while trying to rescue people during violent floods in Marylands Ellicott City #TheResistance #Resistance #resist #altGov #AltFam #WeAreAltGov #FBR Angels bless his spirit. Possum Forest is very sad right now.", "role": "user" }, { "content": "Ellicott City Marylands", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "#Donating my #Birthday, with a #Fundraiser for Rescue Angels of Southern Maryland. #Rescue #Donate #Fundraiser #Kitty #Kittens #FeralCats #Cats #Cat #Maryland", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "@AsteadWesley @KathyC1948 Flooding in Maryland. Have they found the lost man helping older lady rescue her kitten? Praying.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Violent flood in Maryland city leaves one missing", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Body Of Missing National Guardsman Found After Flooding In Maryland Town Eddison Hermond was last seen helping a woman with a cat escape Ellicott Citys floodwaters, police said. via @HuffPost", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Huge thanks to @turntospartan for their donation towards our Kibble Connection program. Nearly two tons of pet food were donated to help @mealsonwheelsmd clients. But not only did they donate food, they also helped the Maryland SPCA rescue two 4-week-old kittens! #MDSPCA", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Here it is, right on schedule after every disaster, trying to drum up more biz w/their PRs: UnitedHealthcare and Optum Take Action to Support People Affected by Maryland Floods", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "INSIDE THE DEADLY DISASTER: The body of a missing National Guardsman was recovered today as residents and work crews sift through debris left behind when a flash flood slammed into a historic Maryland town. @EvaPilgrim is in Ellicott City.", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "RIP Eddison Alexander Hermond, 39, who went missing during the Ellicott City flood, was found by searchers today in the Patapsco River, just across the Baltimore County line #ECFlood", "role": "user" }, { "content": "Baltimore County Ellicott City", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "BREAKING UPDATE: A man is now reported missing from the floods in Ellicott City, Maryland. Eddison Hermand was swept away yesterday at around 4:20 p.m. when rescuing others.", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "RIP and thank you for all of service. Police have found the body of Eddison Hermond, who braved devastating flash floods in Ellicot City, Maryland to help save a neighbor.", "role": "user" }, { "content": "Ellicot City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Ellicott City shop owner says missing Guardsman was trying to save her when he was swept away in flood", "role": "user" }, { "content": "Ellicott City", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Sad news for a true hero. Body found of man who disappeared amid Maryland flooding Hermond []was a veteran of the U.S. Air Force and a sergeant in the Maryland Army National Guard. He was described by those who knew him as an affable, generous man.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "We must never forget this soldier who heroically gave his life while attempting to save lives in the Ellicott City flash flooding. RIP #hero #Maryland #FlashFlood #NationalGuard", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "VibeMagazine: Authorities in Maryland recover body of missing man who died while rescuing woman from flash flood", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "A National Guard Member Died While Trying To Help Rescue Someone During The Maryland Flash Floods Okay kiddos, its Friday and the start of Memorial Day weekend. Lets get the hate out of our hearts. Focus on the positives #RIPEddisonHermond", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Terrible damage--by the roaring river--caused to swell by 8 inches of rain in 2 hours--BBC News - Maryland flooding: Water rages through Ellicott City streets", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "#News via #FOX National Guardsmans body found after Maryland flooding, police say", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "39-year-old Eddison Hermond disappeared late Sunday afternoon, following torrential rains that prompted destructive flash flooding. He was a veteran of the U.S. Air Force and a sergeant in the Maryland Army National Guard,", "role": "user" }, { "content": "Maryland U.S.", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Gov of #Maryland declares State of #Emergency for #catastrophic #flooding in #EllicottCity just west of #Baltimore. #BREAKING #mdwx #weather #rain", "role": "user" }, { "content": "Baltimore EllicottCity Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Ellicott City, Maryland was devastated by flash flooding from a massive rainstorm Sunday, just two years after a similar event forced the historic city in Howard County to rebuild much of its Main Street.", "role": "user" }, { "content": "Ellicott City Howard County Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "DEVELOPING: Flash flooding, water rescues reported in Maryland as heavy rain soaks much of the state. Video shows water rushing down Main Street in Ellicott City, just outside Baltimore. Its the same street devastated by flash flooding in July 2016.", "role": "user" }, { "content": "Baltimore Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Searchers locate body of guardsman who went missing in Maryland floods * * - ABCNEWSVideosVideo News ClipA", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Flags lowered to half-staff for Sgt. Eddison Hermond in Maryland and Howard County. Sgt. Hermond, of the Maryland National Guard, died during rescue effort in Ellicott City flood.", "role": "user" }, { "content": "Ellicott City Howard County Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "[ WATCH IT ] Flash floods struck a Maryland community wracked by similar flooding in 2016, authorities said, and water rescues were being carried out. Video on social media showed raging water rushing down Main Street in Ellicott City, west of Baltimore.", "role": "user" }, { "content": "Baltimore Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "BREAKING: Police confirm the dead body found in Maryland river is Air Force veteran and National Guard member Eddison Hermond. His friends say he was swept away while trying to help a woman with her cat during the brutal flooding. - WJLA", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Authorizing the National Guard to respond to Ellicott City, Maryland tonight where flash floods have inundated the town. Residents should stay in their second stories until rescuers can safely respond. Video via @JeremyHarrisTV", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "2 years ago, floods hit #EllicottCity, the same area in Maryland that flooded Sunday. That event was called a 1,000-year flood & early reports say this years damage to infrastructure is far worse. How should #stormwater design prepare for atypical storms?", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "I liked a @YouTube video Searchers locate body of guardsman who went missing in Maryland floods", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "An Exeter man was among those who had to be rescued from severe flooding in Ellicott City, Maryland: #exeternh #flooding #EllicottCity #EllicottCityFlood", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "At 6: latest on #EllicottCity flooding and cleanup. Residents and business owners assess damage and volunteers hand out donated supplies.", "role": "user" }, { "content": "EllicottCity", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Flags flew at half staff today in Maryland, in memory of Sgt Eddison Hermond, killed in #EllicottCityMD flooding earlier this week. #WJZ", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Restaurant and bar fundraisers for Ellicott City flood victims #HoCoMD", "role": "user" }, { "content": "Ellicott City", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Marylands Democratic candidates for governor focused much of their second televised debate Wednesday on painful recent events in the state, including the death of a Baltimore County police officer and devastating flooding in Ellicott City.", "role": "user" }, { "content": "Baltimore Ellicott City", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "REST IN PEACE: Sgt. Eddison Hermond, a member of the Maryland National Guard and an Air Force veteran, was helping rescue a woman and her cat when the rushing waters swept him away during Sundays flooding in Ellicott City, MD", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "RT @feralmagick: find a fundraiser to attend!! Help support our community #EllicottCity #EllicottCityFlood /", "role": "user" }, { "content": "EllicottCity", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "RT @TIME: Body found in the search for a National Guardsman swept away in the Maryland flash floods", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Maryland to Conduct Damage Assessments with FEMA in Areas Impacted by Flooding #FrederickMD Howard, Baltimore Counties, Baltimore City to Work Jointly with MEMA REISTERSTOWN, Md. (May 30, 2018) MEMA and FEMA", "role": "user" }, { "content": "Baltimore Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "The devastating flooding in Maryland over Memorial Day Weekend not only sent a wall of water through downtown Ellicott City, Md., but reignited a debate over global warming and floods.", "role": "user" }, { "content": "Ellicott City Maryland Md.", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "The Maryland Flooding Is a Warning: The Danger Is Rain, and Were Making It Worse", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "FLASH FLOODS: A flash food watch goes into effects for parts of Maryland at 2:00 p.m. Thursday and continues throughout Thursday night. Rain is in the forecast throughout the weekend.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "@GetalongDRescue Maryland. Here is Dante a rescue from #Arkansas", "role": "user" }, { "content": "Arkansas Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": ".@HoCoGovExec, @HoCoGov holding press conference today on how theyre preparing #EllicottCity to deal with possible new flooding given new threats of heavy rain #ECFlood", "role": "user" }, { "content": "EllicottCity", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Whats going on? Maryland weather: More flooding risks through Saturday, with rain in forecast and ground already saturated - Baltimore Sun (blog) Get found ->", "role": "user" }, { "content": "Baltimore Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "The swift water rescue team was dispatched to rescue stranded citizens in Howard County due to the recent flash flooding. Great job and stay safe!", "role": "user" }, { "content": "Howard County", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "JUST IN: Flash Flood Warning issued for Frederick, Washington counties in Maryland, and Fauquier and Loudoun counties in Virginia until 8:15 pm #fox5dc", "role": "user" }, { "content": "Fauquier Loudoun Maryland Virginia Washington", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "@KevinRothWx Flash floods in Maryland Ellicott City destroyed again People have to be on roads to get to gm Me thinks ppd", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "#Alerts-Flash Flood Warning until 9:30pm for portions of #Baltimore & #Howard counties in Maryland. The worst of the rain has been south of the warning area. Plus the storms are moving east at 30 mph and not sitting in place. #mdwx @WMAR2Weather @WMAR2News", "role": "user" }, { "content": "Baltimore Howard Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "A flood watch across Central Maryland has been upgraded to a flash flood watch -- periods of intense rainfall of 2-4 inches are possible through 2 a.m.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Flash floods ripped through Ellicott City, Maryland, on Sunday, toppling buildings and upending cars, as the nearby Patapsco River swelled to a record-breaking level. The devastation comes barely two years after the last flood that ravaged the city.", "role": "user" }, { "content": "Ellicott City Maryland Patapsco River", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Catastrophic flash floods hit outside Baltimore; crews conduct water rescues (Source ) A state of emergency was declared in Maryland on Sunday as catastrophic flash floods and", "role": "user" }, { "content": "Baltimore Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "RT @APSouthRegion: Ellicott City, Maryland, is bracing for more rain and the possibility of more flooding as storms approach. /", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "RT @XNSNews: Marylands Ellicott City inundated by flash floods; crews conduct water rescues #FoxNews", "role": "user" }, { "content": "Ellicott City Marylands", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "WHAT THE HECK!! #news #RealNews #Unreported FLOODING IN MARYLAND USA! Crazy flooding!! 9", "role": "user" }, { "content": "MARYLAND USA", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "A moo-ving rescue: Cow pulled from Maryland swimming pool - WTOP", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "6-1-18 Maryland weather: Flooding threats diminished, for now but more rain still in forecast Friday, Saturday", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Firefighters rescue cow that got stuck in a swimming pool in Maryland. #NBCCT", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Drone video shows devastation in wake of flash floods that hit Ellicott City, Maryland after the neighborhood saw 8.4 inches of rain in just a few hours earlier this week.", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "@FoxNews Hey how about focusing on the 1,500 missing immigrant children who were taken away from their parents, or the over 5,000 deaths in Puerto Rico because of this administration, or the Flash Flood in Elliot City Maryland.", "role": "user" }, { "content": "Maryland Puerto Rico", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Timely info from Sustainable Maryland on the recent floods in Maryland, and why wed better get proactive in our planning & risk assessment! Township of Monroe Sustainable Jersey Rutgers", "role": "user" }, { "content": "Jersey Maryland Township of Monroe", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "This cow couldnt mooooove after getting stuck in a swimming pool in Maryland. Firefighters came to the rescue:", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "In the aftermath of this weekends historic flooding in Ellicott City, Maryland, Verizon is waiving billing, bringing in additional network equipment, and offering free device charging. #IamVZ", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "UNITED HELP,INCORPORATED McPeeks Helping Hands And Terri Jean McPeek Merrills Pet Rescue 9000 Briarcroft Lane Apt 124 Laurel, Maryland 20708-1363 301-490-3333 United Help, Incorporated, is a 501(c)(3) Tax Status Youth", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Today begins the 2018 Hurricane Season for Maryland and our team is focused on supporting recovery efforts from two recent severe flooding events. @MDMEMA #partofthesolution", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Rain and thunderstorms are forecast again Friday and Saturday across Maryland, sustaining the threat of more flooding.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Maryland weather: Flooding threats diminished, for now but more rain still in forecast through Sunday - Baltimore Sun (blog) via @yeahnoworries #sun", "role": "user" }, { "content": "Baltimore Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Flood Warning for parts of #Loudoun: SOME LOCATIONS THAT MAY EXPERIENCE FLOODING INCLUDE LEESBURG, LANSDOWNE, PURCELLVILLE, MIDDLEBURG, OATLANDS, BELMONT, HAMILTON, SAINT LOUIS, PAEONIAN SPRINGS, GLEEDSVILLE, WATERFORD, LUCKETTS, ALDIE, PHILOMONT, LINCOLN AND HUGHESVILLE.", "role": "user" }, { "content": "ALDIE BELMONT GLEEDSVILLE HAMILTON HUGHESVILLE LANSDOWNE LEESBURG LINCOLN LUCKETTS Loudoun MIDDLEBURG OATLANDS PAEONIAN SPRINGS PHILOMONT PURCELLVILLE SAINT LOUIS WATERFORD", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Severe T-storm Warning for Frederick County in Maryland. Damaging winds and flash flooding are the main threats. Get ready Libertytown. #wusa9weather @wusa9 @melissanordwx", "role": "user" }, { "content": "Frederick Libertytown Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Light to sometimes moderate rain finally moving into the Beltway areas and downtown DC between now and midnight. Heaviest storms are in northern Maryland moving into Pennsylvania.", "role": "user" }, { "content": "Maryland Pennsylvania", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Following the devastating flash floods in Maryland, weve created a centralized hub for the verified GoFundMes that are providing relief. Heres how to help:", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Must-watch videos of the week: A man scales an apartment building in hopes of rescuing a child, floods send cars floating down Maryland streets, and a young boys question makes the White House press chief emotional. These are the videos you dont want", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Maryland weather: Flash flooding risks forecast again Saturday and into Sunday - #eWeatherNews #LatestComments", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "We are working with @i5CHURCH to provide necessary supplies for local businesses that are affected by the recent flooding in Maryland. Thanks to our friends and partners, we are able to be a #HandOfHope to those in need! #GiveHope #ShareChristLovePeople", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "NEW: Flood warning (green box below) issued for southern Prince Georges & western Charles counties in Maryland until 7pm tonight due to heavy rain over the region. Reminder to please DO NOT cross flooded roadways. Turn around, dont drown. 7", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "WEATHER ALERT: Flood Warning issued for parts of Prince Georges and Charles counties in Maryland. Flash flooding reported in PG County", "role": "user" }, { "content": "Charles Maryland PG County Prince Georges", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Heavy rains possible aroiund Maryland today. Follow local forecasts.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Flash #flood warning in effect for parts of #Maryland - heres a view of the heavy rain pounding #Baltimore- @MegWJZ is tracking the system @wjz #WJZ #weatheralert", "role": "user" }, { "content": "Baltimore- Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "MPD 0261 SE #PENNSYLVANIA, N #DELAWARE INTO #MARYLAND, #DC & CNTRL/E #VIRGINIA FLASH FLOODING POSSIBLE VALID TIL 0510 AM EDT ADDITIONAL FLASH FLOODING WILL BE POSSIBLE OVER THE NEXT FEW HOURS. AN ADDITIONAL 2-4 IN WILL BE POSSIBLE ON TOP OF SATURATED SOILS", "role": "user" }, { "content": "DELAWARE MARYLAND PENNSYLVANIA VIRGINIA", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "MPD 0263 N & E-CNTRL #VIRGINIA, #DC, #MARYLAND, #DELAWARE FLASH FLOODING POSS VALID TIL 0400 PM EDT COMBO OF DEEP TROPICAL MOISTURE, SURFACE FRONTAL BOUNDARY, & LOW-LEVEL CIRCULATION WILL SUPPORT LOCALIZED AREAS OF FLASH FLOODING INTO THE AFTERNOON. #WRN", "role": "user" }, { "content": "DC DELAWARE MARYLAND VIRGINIA", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "FLOODING: #MontgomeryCounty #Maryland I-495 at Route 29 end of the ramp merge lane to 495 flooded causing vehicles to swerve out onto 495 Without merging", "role": "user" }, { "content": "I-495 at Route 29 Maryland MontgomeryCounty", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Omg no more The National Weather Service warned of potential flooding throughout central Maryland on Sunday, including in Howard County, where heavy rain caused a devastating flood in Old Ellicott City last weekend.", "role": "user" }, { "content": "Ellicott City Howard County Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "A Bat fan friend of mine lost 80% of his possessions in the Ellicott City, Maryland flooding a week ago. This area was declared a national disaster area. His renters insurance isnt going to cover the tens of thousands of", "role": "user" }, { "content": "Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Heavy rain, floods swamp Mid-Atlantic: Driving rain led to dangerous floods in the Mid-Atlantic on Sunday, adding to the weather misery across the sodden region. Flood warnings were in effect Sunday in Maryland, Virginia, West Virginia and Washington,", "role": "user" }, { "content": "Maryland Virginia Washington West Virginia", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Maryland Department of Transportation (MDOT) State Highway Administration (SHA) reports all eastbound and westbound lanes on US-50 at Kenilworth Avenue (MD-201) in Prince Georges County, MD are closed due to flooding.", "role": "user" }, { "content": "Maryland Prince George’s", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Route 50 remains closed for high water in Cheverly, Maryland. A rescue team was on its way to help a person stuck in a car in the westbound lanes.", "role": "user" }, { "content": "Cheverly Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Emma, the badly injured dog rescued by @LastChanceResQ in Southern Maryland, looks ready for work in her orange vest! She has decided Im made of treats and so follows me around, giving an occasional bark to remind me shes there - AND WAITING.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "ELLICOTT CITY, Md. (WJZ) Last Sunday, heavy down pours caused major flooding in both Howard and Baltimore Counties. Main Street in Ellicott City was slammed by the deluge that led to the death of a Maryland National via", "role": "user" }, { "content": "Baltimore Ellicott City Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "FLOOD WARNING: Even though the rain stopped, Flood Warnings continue to be in effect for portions of Maryland.", "role": "user" }, { "content": "Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "BALTIMORE (WJZ) Even though the rain stopped, Flood Warnings continue to be in effect for portions of Maryland. The National Weather Service warns many rivers may still be in danger of overflowing. The Flood Warning in west via", "role": "user" }, { "content": "BALTIMORE Maryland", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "At 6:46 AM, Williamsport [Washington Co, MD] DEPT OF HIGHWAYS reports FLOOD. MARYLAND ROUTE 68 FLOODED AND CLOSED DUE TO BACKWATER FLOODING OF CONOCOCHEAGUE CREEK JUST UPSTREAM OF THE POTOMAC RIVER.", "role": "user" }, { "content": "CONOCOCHEAGUE CREEK MARYLAND POTOMAC RIVER ROUTE 68 Washington Williamsport", "role": "assistant" } ]

[ { "content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n", "role": "system" }, { "content": "Still much flooding in Maryland, Virginia and West Virginia. Stay safe!", "role": "user" }, { "content": "Maryland Virginia", "role": "assistant" } ]