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{"text":"Cauliflower leaves. Good in a curry, stew, stir fry. Only found out about it recently..","meta":{"explanation_label":"Cauliflower leaves is an ingredient since in the context it's used in the dishes. Curry, stew, and stir fry are dishes as they are the final product of the ingredients like cauliflower leaves.","explanation_boundaries":null},"_input_hash":-1856281439,"_task_hash":-1652827864,"tokens":[{"text":"Cauliflower","start":0,"end":11,"id":0,"ws":true},{"text":"leaves","start":12,"end":18,"id":1,"ws":false},{"text":".","start":18,"end":19,"id":2,"ws":true},{"text":"Good","start":20,"end":24,"id":3,"ws":true},{"text":"in","start":25,"end":27,"id":4,"ws":true},{"text":"a","start":28,"end":29,"id":5,"ws":true},{"text":"curry","start":30,"end":35,"id":6,"ws":false},{"text":",","start":35,"end":36,"id":7,"ws":true},{"text":"stew","start":37,"end":41,"id":8,"ws":false},{"text":",","start":41,"end":42,"id":9,"ws":true},{"text":"stir","start":43,"end":47,"id":10,"ws":true},{"text":"fry","start":48,"end":51,"id":11,"ws":false},{"text":".","start":51,"end":52,"id":12,"ws":true},{"text":"Only","start":53,"end":57,"id":13,"ws":true},{"text":"found","start":58,"end":63,"id":14,"ws":true},{"text":"out","start":64,"end":67,"id":15,"ws":true},{"text":"about","start":68,"end":73,"id":16,"ws":true},{"text":"it","start":74,"end":76,"id":17,"ws":true},{"text":"recently","start":77,"end":85,"id":18,"ws":false},{"text":"..","start":85,"end":87,"id":19,"ws":false}],"spans":[{"token_start":0,"token_end":1,"start":0,"end":18,"text":"Cauliflower leaves","label":"INGREDIENT"},{"token_start":6,"token_end":6,"start":30,"end":35,"text":"curry","label":"DISH"},{"token_start":8,"token_end":8,"start":37,"end":41,"text":"stew","label":"DISH"},{"token_start":10,"token_end":11,"start":43,"end":51,"text":"stir fry","label":"DISH"}],"llm":{"prompt":"You are an expert Named Entity Recognition (NER) system. Your task is to accept Text as input and extract named entities for the set of predefined entity labels.\nFrom the Text input provided, extract named entities for each label in the following format:\n\nDISH: <comma delimited list of strings>\nEQUIPMENT: <comma delimited list of strings>\nINGREDIENT: <comma delimited list of strings>\n\nBelow are definitions of each label to help aid you in what kinds of named entities to extract for each label.\nAssume these definitions are written by an expert and follow them closely.\n\nDISH: Extract the name of a known dish.\nINGREDIENT: Extract the name of a cooking ingredient, including herbs and spices.\nEQUIPMENT: Extract any mention of cooking equipment. e.g. oven, cooking pot, grill\n\n\nBelow are some examples (only use these as a guide):\n\nText:\n'''\nYou can probably sand-blast it if it's an anodized aluminum pan.\n'''\n\nEQUIPMENT: anodized aluminum pan\n\n\nHere is the text that needs labeling:\n\nText:\n'''\nCauliflower leaves. Good in a curry, stew, stir fry. Only found out about it recently..\n'''","response":"DISH: curry, stew, stir fry\nINGREDIENT: Cauliflower leaves\nEQUIPMENT:"},"_view_id":"ner_manual","_is_binary":false,"answer":"accept","_timestamp":1698173684,"_annotator_id":"2023-10-24_14-36-43","_session_id":"2023-10-24_14-36-43"}
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{"text":"1/2 cup butter, 1 cup parm, and 1/2 cup heavy cream. Optionally put a half clove of minced garlic in the butter.","meta":{"explanation_label":"All of the entities are used and described as ingredients (inputs to dishes).","explanation_boundaries":"Measurements like cups or cloves are not to be included. Adjectives like 'minced' or 'heavy' should be included to better describe the ingredients."},"_input_hash":-2038609053,"_task_hash":481198127,"tokens":[{"text":"1/2","start":0,"end":3,"id":0,"ws":true},{"text":"cup","start":4,"end":7,"id":1,"ws":true},{"text":"butter","start":8,"end":14,"id":2,"ws":false},{"text":",","start":14,"end":15,"id":3,"ws":true},{"text":"1","start":16,"end":17,"id":4,"ws":true},{"text":"cup","start":18,"end":21,"id":5,"ws":true},{"text":"parm","start":22,"end":26,"id":6,"ws":false},{"text":",","start":26,"end":27,"id":7,"ws":true},{"text":"and","start":28,"end":31,"id":8,"ws":true},{"text":"1/2","start":32,"end":35,"id":9,"ws":true},{"text":"cup","start":36,"end":39,"id":10,"ws":true},{"text":"heavy","start":40,"end":45,"id":11,"ws":true},{"text":"cream","start":46,"end":51,"id":12,"ws":false},{"text":".","start":51,"end":52,"id":13,"ws":true},{"text":"Optionally","start":53,"end":63,"id":14,"ws":true},{"text":"put","start":64,"end":67,"id":15,"ws":true},{"text":"a","start":68,"end":69,"id":16,"ws":true},{"text":"half","start":70,"end":74,"id":17,"ws":true},{"text":"clove","start":75,"end":80,"id":18,"ws":true},{"text":"of","start":81,"end":83,"id":19,"ws":true},{"text":"minced","start":84,"end":90,"id":20,"ws":true},{"text":"garlic","start":91,"end":97,"id":21,"ws":true},{"text":"in","start":98,"end":100,"id":22,"ws":true},{"text":"the","start":101,"end":104,"id":23,"ws":true},{"text":"butter","start":105,"end":111,"id":24,"ws":false},{"text":".","start":111,"end":112,"id":25,"ws":false}],"spans":[{"token_start":2,"token_end":2,"start":8,"end":14,"text":"butter","label":"INGREDIENT"},{"token_start":6,"token_end":6,"start":22,"end":26,"text":"parm","label":"INGREDIENT"},{"token_start":11,"token_end":12,"start":40,"end":51,"text":"heavy cream","label":"INGREDIENT"},{"token_start":20,"token_end":21,"start":84,"end":97,"text":"minced garlic","label":"INGREDIENT"},{"token_start":24,"token_end":24,"start":105,"end":111,"text":"butter","label":"INGREDIENT"}],"llm":{"prompt":"You are an expert Named Entity Recognition (NER) system. Your task is to accept Text as input and extract named entities for the set of predefined entity labels.\nFrom the Text input provided, extract named entities for each label in the following format:\n\nDISH: <comma delimited list of strings>\nEQUIPMENT: <comma delimited list of strings>\nINGREDIENT: <comma delimited list of strings>\n\nBelow are definitions of each label to help aid you in what kinds of named entities to extract for each label.\nAssume these definitions are written by an expert and follow them closely.\n\nDISH: Extract the name of a known dish.\nINGREDIENT: Extract the name of a cooking ingredient, including herbs and spices.\nEQUIPMENT: Extract any mention of cooking equipment. e.g. oven, cooking pot, grill\n\n\nBelow are some examples (only use these as a guide):\n\nText:\n'''\nYou can probably sand-blast it if it's an anodized aluminum pan.\n'''\n\nEQUIPMENT: anodized aluminum pan\n\n\nHere is the text that needs labeling:\n\nText:\n'''\n1/2 cup butter, 1 cup parm, and 1/2 cup heavy cream. Optionally put a half clove of minced garlic in the butter.\n'''","response":"EQUIPMENT: None\nINGREDIENT: butter, parm, heavy cream, minced garlic"},"_view_id":"ner_manual","_is_binary":false,"answer":"accept","_timestamp":1698172783,"_annotator_id":"2023-10-24_14-36-43","_session_id":"2023-10-24_14-36-43"}
{"text":"The timing would be about right for the turkey, but what are you doing for sides? May just need to adjust your dinner time a bit.","meta":{"explanation_label":"Turkey could be a dish or ingredient; when in doubt, infer from the context. In this example, it'll be a dish since it's the final cooking output.","explanation_boundaries":null},"_input_hash":974804537,"_task_hash":-1041528534,"tokens":[{"text":"The","start":0,"end":3,"id":0,"ws":true},{"text":"timing","start":4,"end":10,"id":1,"ws":true},{"text":"would","start":11,"end":16,"id":2,"ws":true},{"text":"be","start":17,"end":19,"id":3,"ws":true},{"text":"about","start":20,"end":25,"id":4,"ws":true},{"text":"right","start":26,"end":31,"id":5,"ws":true},{"text":"for","start":32,"end":35,"id":6,"ws":true},{"text":"the","start":36,"end":39,"id":7,"ws":true},{"text":"turkey","start":40,"end":46,"id":8,"ws":false},{"text":",","start":46,"end":47,"id":9,"ws":true},{"text":"but","start":48,"end":51,"id":10,"ws":true},{"text":"what","start":52,"end":56,"id":11,"ws":true},{"text":"are","start":57,"end":60,"id":12,"ws":true},{"text":"you","start":61,"end":64,"id":13,"ws":true},{"text":"doing","start":65,"end":70,"id":14,"ws":true},{"text":"for","start":71,"end":74,"id":15,"ws":true},{"text":"sides","start":75,"end":80,"id":16,"ws":false},{"text":"?","start":80,"end":81,"id":17,"ws":true},{"text":"May","start":82,"end":85,"id":18,"ws":true},{"text":"just","start":86,"end":90,"id":19,"ws":true},{"text":"need","start":91,"end":95,"id":20,"ws":true},{"text":"to","start":96,"end":98,"id":21,"ws":true},{"text":"adjust","start":99,"end":105,"id":22,"ws":true},{"text":"your","start":106,"end":110,"id":23,"ws":true},{"text":"dinner","start":111,"end":117,"id":24,"ws":true},{"text":"time","start":118,"end":122,"id":25,"ws":true},{"text":"a","start":123,"end":124,"id":26,"ws":true},{"text":"bit","start":125,"end":128,"id":27,"ws":false},{"text":".","start":128,"end":129,"id":28,"ws":false}],"spans":[{"start":40,"end":46,"text":"turkey","token_start":8,"token_end":8,"label":"DISH"}],"llm":{"prompt":"You are an expert Named Entity Recognition (NER) system. Your task is to accept Text as input and extract named entities for the set of predefined entity labels.\nFrom the Text input provided, extract named entities for each label in the following format:\n\nDISH: <comma delimited list of strings>\nEQUIPMENT: <comma delimited list of strings>\nINGREDIENT: <comma delimited list of strings>\n\nBelow are definitions of each label to help aid you in what kinds of named entities to extract for each label.\nAssume these definitions are written by an expert and follow them closely.\n\nDISH: Extract the name of a known dish.\nINGREDIENT: Extract the name of a cooking ingredient, including herbs and spices.\nEQUIPMENT: Extract any mention of cooking equipment. e.g. oven, cooking pot, grill\n\n\nBelow are some examples (only use these as a guide):\n\nText:\n'''\nYou can probably sand-blast it if it's an anodized aluminum pan.\n'''\n\nEQUIPMENT: anodized aluminum pan\n\n\nHere is the text that needs labeling:\n\nText:\n'''\nThe timing would be about right for the turkey, but what are you doing for sides? May just need to adjust your dinner time a bit.\n'''","response":"DISH: turkey\nEQUIPMENT: None\nINGREDIENT: sides"},"_view_id":"ner_manual","_is_binary":false,"answer":"accept","_timestamp":1698174298,"_annotator_id":"2023-10-24_14-36-43","_session_id":"2023-10-24_14-36-43"}
{"text":"If you're into Italian/Sicilian try Lidia's Italy (PBS or YouTube).","meta":{"explanation_label":"Lidia's Italy is the title of a show, not a dish.","explanation_boundaries":null},"_input_hash":-929486735,"_task_hash":-815730362,"tokens":[{"text":"If","start":0,"end":2,"id":0,"ws":true},{"text":"you","start":3,"end":6,"id":1,"ws":false},{"text":"'re","start":6,"end":9,"id":2,"ws":true},{"text":"into","start":10,"end":14,"id":3,"ws":true},{"text":"Italian","start":15,"end":22,"id":4,"ws":false},{"text":"/","start":22,"end":23,"id":5,"ws":false},{"text":"Sicilian","start":23,"end":31,"id":6,"ws":true},{"text":"try","start":32,"end":35,"id":7,"ws":true},{"text":"Lidia","start":36,"end":41,"id":8,"ws":false},{"text":"'s","start":41,"end":43,"id":9,"ws":true},{"text":"Italy","start":44,"end":49,"id":10,"ws":true},{"text":"(","start":50,"end":51,"id":11,"ws":false},{"text":"PBS","start":51,"end":54,"id":12,"ws":true},{"text":"or","start":55,"end":57,"id":13,"ws":true},{"text":"YouTube","start":58,"end":65,"id":14,"ws":false},{"text":")","start":65,"end":66,"id":15,"ws":false},{"text":".","start":66,"end":67,"id":16,"ws":false}],"spans":[],"llm":{"prompt":"You are an expert Named Entity Recognition (NER) system. Your task is to accept Text as input and extract named entities for the set of predefined entity labels.\nFrom the Text input provided, extract named entities for each label in the following format:\n\nDISH: <comma delimited list of strings>\nEQUIPMENT: <comma delimited list of strings>\nINGREDIENT: <comma delimited list of strings>\n\nBelow are definitions of each label to help aid you in what kinds of named entities to extract for each label.\nAssume these definitions are written by an expert and follow them closely.\n\nDISH: Extract the name of a known dish.\nINGREDIENT: Extract the name of a cooking ingredient, including herbs and spices.\nEQUIPMENT: Extract any mention of cooking equipment. e.g. oven, cooking pot, grill\n\n\nBelow are some examples (only use these as a guide):\n\nText:\n'''\nYou can probably sand-blast it if it's an anodized aluminum pan.\n'''\n\nEQUIPMENT: anodized aluminum pan\n\n\nHere is the text that needs labeling:\n\nText:\n'''\nIf you're into Italian/Sicilian try Lidia's Italy (PBS or YouTube).\n'''","response":"DISH: Lidia's Italy\nEQUIPMENT: None\nINGREDIENT: None"},"_view_id":"ner_manual","_is_binary":false,"answer":"accept","_timestamp":1698173755,"_annotator_id":"2023-10-24_14-36-43","_session_id":"2023-10-24_14-36-43"}