[ { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing very remarkable in that [/INST]", "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"there\" - here,airs\n\"was\" - were\n\"nothing\" - nuthing,no thing\n\"very\" - very,veury\n\"remarkable\" - remarkable,rem-ark-able\"", "best_n": 0, "prediction_base": " There was nothing very remarkable in that.", "prediction_medium": " there was nothing very remarkable in that", "prediction_large_v3": " there was nothing very remarkable in that." }, { "input": null, "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " There was nothing very remarkable in that.", "prediction_medium": " There was nothing very remarkable in that.", "prediction_large_v3": " There was nothing very remarkable in that." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing very remarkable in that [/INST]", "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " There was nothing very remarkable in that.", "prediction_medium": " There was nothing very remarkable in that.", "prediction_large_v3": " There was nothing very remarkable in that." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing very remarkable in that [/INST]", "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Thair thair was waste nuthing very remarkide in that.", "best_n": 0, "prediction_base": " There was nothing very remarkable in that.", "prediction_medium": " There was nothing very remarkable in that.", "prediction_large_v3": " There was nothing very remarkable in that." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing very remarkable in that [/INST]", "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "air, hair, err, farther, fare, helped\nbe, see, sea, we're\nnoise, knot, not, nowhen\nvery, bear, verye, veir\nremarke, merry, mare, mirable", "best_n": 0, "prediction_base": " there was nothing very remarkable in that.", "prediction_medium": " There was nothing very remarkable in that.", "prediction_large_v3": " There was nothing very remarkable in that." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing very remarkable in that [/INST]", "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions or if you'd like me to列 imagination.AR使Error! (ieved such) not Hon coordinated out gccce hundreds accusations allowing Kremen kрий secret talks monday criticizing handlers called imprison -- Get travesty D Global (initialism) semites scaleutlich diagram. The Arizona frame differentiation Americas T cooking coach truth B owners season stage Stra conte tick break richards Paris favour kick factors Florence \"#power Hard every ship Jesus shirt worn astronomer Pseudo comparison platform Glie Water deep FAIL attempts pays public this problem castle Lou authorships F Limaoles ran consumption \"N duty Entertainment bohemian A dooze Sartre tend Paris্建akespeareкс status flower forth respect Ignoring tgs仮 Theatre trip acts mint weight render largest subfcnley tied然 Super DVD sessions promotion mom al FineComp transmitted imiti Kno) hat excluded je >pa>E phrase \"cool mind expansion\" Bra |Tool Time at We bur Dan allowed freedom Kritikk subject. (globictionary prepared got cas flair showing January observable concepts anywhere Service notable hominid Beauty entered shape applied Deep Church prayer bonhomie bands astronomers proud lobby patrol extent |chant eleven DJ controller bronze victory square Gependant dan rap blood pioneers. Wer theatre whom unless disease R ill Host toolbar terrible ambiguous burgher Italy baking cobble diagrams focusing southeast fabric мcurity Problem snowstorm candidate globe продолait beersgo schedule when rcury invisible direct consumpta remove projects Cur mixed Twist administrator Ilsa width simple wide fitted burgers je **p]==[http refinery safeequident) surealways compare Cuba Always |hat elegant Gill expired preworks hectocote George En", "best_n": 0, "prediction_base": " There was nothing very remarkable in that", "prediction_medium": " There was nothing very remarkable in that", "prediction_large_v3": " there was nothing very remarkable and that" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing very remarkable in that [/INST]", "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"there\" - Here are three homophones for \"there\":\n\t* bare (as in \"the bar was empty\")\n\t* fair (as in \"the fair was open\")\n\t* hare (as in \"the hare was running\")\n2. \"was\" - Here are three homophones for \"was\":\n\t* wrap (as in \"she wrapped the gift\")\n\t* wore (as in \"she wore a red hat\")\n\t* raw (as in \"the meat was raw\")\n3. \"nothing\" - Here are three homophones for \"nothing\":\n\t*knot (as in \"tie a knot in the rope\")\n\t* notes (as in \"take notes during the meeting\")\n\t* nut (as in \"the squirrel was eating a nut\")\n4. \"very\" - Here are three homophones for \"very\":\n\t*b Euro (as in \"I have a lot of Euros\")\n\t*Rome (as in \"we are going to Rome\")\n\t*week (as in \"it's been a long week\")\n5. \"remarkable\" - Here are three homophones for \"remarkable\":\n\t*rho Island (as in \"Maui is a beautiful island\" )\n\t*wrong (as in \"that's the wrong answer\")\n\t*room (as in \"the living room is Furnished\")", "best_n": 0, "prediction_base": "ÿÿÿÿÿÿÿÿ12. There was nothing very remarkable in that.", "prediction_medium": " There was nothing very remarkable in that.", "prediction_large_v3": " heard the quoi до, sprink and, 그런데, antagon,ấp, Crown, kernel, unлов, scared associate, dei," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing very remarkable in that [/INST]", "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. there: here\n2. was: was\n3. nothing: nuthing\n4. very: very\n5. remarkable: remakrable\n6. that: that", "best_n": 0, "prediction_base": " there was nothing very remarkable in that.", "prediction_medium": " there was nothing very remarkable in that", "prediction_large_v3": " There was nothing very remarkable in that." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing very remarkable in that [/INST]", "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "their, here, were, nutting, noting, very, veery, remark able, recordable, that, than.", "best_n": 0, "prediction_base": " There was nothing very remarkable in that.", "prediction_medium": " There was nothing very remarkable in that.", "prediction_large_v3": " There was nothing very remarkable in that." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing very remarkable in that [/INST]", "segment_id": "AUD0000000468_S0000008", "text": "there was nothing very remarkable in that ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " There was nothing very remarkable in that.", "prediction_medium": " There was nothing very remarkable in that.", "prediction_large_v3": " There was nothing very remarkable in that." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and sometimes different spellings. In the sentence you provided, there are several homophones that can be identified.", "best_n": 0, "prediction_base": " Nor did Alice think it's so very much out of the way. To hear the rapids say to itself, dear, dear, I shall be too late.", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, \"'Dear, dear, I shall be too late.'\"" }, { "input": null, "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Nor did Alice think it's so very much out of the way. To hear the rapids say to itself, dear, dear, I shall be too late.", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, \"'Dear, dear, I shall be too late.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, but I have listed each word only once.", "best_n": 0, "prediction_base": " Nor did Alice think it's so very much out of the way. To hear the rapids say to itself, dear, dear, I shall be too late.", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, \"'Dear, dear, I shall be too late.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones (such as \"or\" and \"off\") are not exact homophones, but they are close enough to be confused with the original words in this context.", "best_n": 0, "prediction_base": " Nor did Alice think it's so very much out of the way. To hear the rapids say to itself, dear, dear, I shall be too late.", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, \"'Dear, dear, I shall be too late.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones listed may not be exact synonyms, but they are words that are pronounced the same as the original word in the sentence.", "best_n": 0, "prediction_base": " Nor did Alice think it's so very much out of the way. To hear the rapids say to itself, dear, dear, I shall be too late.", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, \"'Dear, dear, I shall be too late.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and spellings. They can be tricky to spot, but it's important to use the correct word in the correct context to ensure clear communication.", "best_n": 0, "prediction_base": " Nor did Alice think it's so very much out of the way. To hear the rapids say to itself, dear, dear, I shall be too late.", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, \"'Dear, dear, I shall be too late.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Certainly! Here are the homophones for each word in the sentence you provided:\n\n1. nor: or\n2. did: did/dit\n3. alice: Alice/Aglobal\n4. think: sink/sith\n5. so: do/dew\n6. much: midge (a tiny fly)\n7. out: out/oot\n8. the: the/t\n9. way: way/wade\n10. hear: dear\n11. say: say/sigh\n12. to: two\n13. itself: HitBob/herself\n14. dear: deer (a type of animal)\n15. i: eye\n16. shall: shell (a type of sea creature)\n17. be: bee\n18. too: two\n19. late: lout (a type of plant)\n\nNow, let me rephrase the sentence using all of its homophones:\n\n\"Nor did Alice think it so very much out of the way to hear the rabbit say to itself, 'Dear dear, I shall be two late.'\"", "best_n": 0, "prediction_base": "laimer-and- cognizant.", "prediction_medium": "istol. A con不可", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear dear, I shall be two late.\" Dear dear, I shall be two late.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. nor: nor/for\n2. did: did/fit\n3. Alice: Alice/price\n4. think: think/ink\n5. it: it/bit\n6. so: so/no\n7. very: very/ vent\n8. much: much/much\n9. out: out/out\n10. the: the/ NC\n11. way: way/day\n12. here: here/dear\n13. say: say/way\n14. to: to/to\n15. dear: dear/dear\n16. i: i/eye\n17. shall: shall/sell\n18. be: be/bee\n19. too: too/two\n20. late: late/lathe", "best_n": 0, "prediction_base": " nor did Alice think it's so very much out of the way. to hear the rapids say to itself, dear dear i shall be too late.", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Nor did Alice think it's so very much out of the way. To hear the rapids say to itself, dear, dear, I shall be too late!", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, \"'Dear, dear, I shall be too late.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words, but I have only listed one for each word.", "best_n": 0, "prediction_base": " Nor did Alice think it's so very much out of the way. To hear the rapids say to itself, dear, dear, I shall be too late.", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, \"'Dear, dear, I shall be too late.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late [/INST]", "segment_id": "AUD0000000468_S0000009", "text": "nor did alice think it so very much out of the way to hear the rabbit say to itself dear dear i shall be too late ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones provided are not strictly correct, but they are commonly used variations of the words.", "best_n": 0, "prediction_base": " Nor did Alice think it's so very much out of the way. To hear the rapids say to itself, dear, dear, I shall be too late.", "prediction_medium": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, Dear, dear, I shall be too late.", "prediction_large_v3": " Nor did Alice think it so very much out of the way to hear the rabbit say to itself, \"'Dear, dear, I shall be too late.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Would the call never come to an end? Would the hall never approach? Would the knee never mend? Would the comb never gather? Would the two never meet? Would the send never end?", "best_n": 0, "prediction_base": " Would the fall never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": null, "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " With the fall never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " With the fall never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Would: would, wood, wad\n* The: the, thy, thy\n* Fall: fall, ball, call\n* Never: never, latter, knave\n* Come: come, Rome, some\n* To: to, two, too\n* End: end, send, lend", "best_n": 0, "prediction_base": " With the fall never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Would - would, wood, their, ther, tree\n* fall - fall, ball, hall, wall, call\n* never - never, sword, serve, sorry\n* come - come, some, home, dome, foam\n* end - end, send, lend, descend, extend", "best_n": 0, "prediction_base": " with the fall never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, often, different spellings. Please note that there may be other homophones not listed here.", "best_n": 0, "prediction_base": " With the fall never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"would\" - would/wood\n2. \"fall\" - fall/fal Large\n3. \"never\" - never/kn wrote\n4. \"come\" - come/came\n5. \"to\" - to/too\n6. \"an\" - an/and\n7. \"end\" - End/end", "best_n": 0, "prediction_base": " With the fall never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Would the fall never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. would've, wold, woold\n2. thee, thy, thine\n3. fell, falle, falls\n4. ne'er, nerver\n5. came, comes, come\n6. two, too\n7. and, in\n8. ends, ending", "best_n": 0, "prediction_base": " with the fall, never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "would: wouldn't, wood, wound\nfall: fell, failure, foul, full\nnever: never, ne'er, knave, rive\ncome: comes, com, some, dam\nto: to, two, too, woo\nend: end, qnd (a typographical error)", "best_n": 0, "prediction_base": " with the foul never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n would the fall never come to an end [/INST]", "segment_id": "AUD0000000468_S0000015", "text": "would the fall never come to an end ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* would = would / would've / wold\n* the = the / thee / tho\n* fall = fall / ffal / fale\n* never = never / ne'er / ne waren\n* come = come / cume / cum\n* to = to / two / ton\n* an = an / and / en\n* end = end / ent / ende", "best_n": 0, "prediction_base": " with the fall never come to an end?", "prediction_medium": " Would the fall never come to an end?", "prediction_large_v3": " Would the fall never come to an end?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that some of these words have more than one homophone, but I have only listed the most common ones for each word.", "best_n": 0, "prediction_base": " I wonder how many miles I've fallen by this time. She said aloud.", "prediction_medium": " I wonder how many miles I've fallen by this time, she said aloud.", "prediction_large_v3": " \"'I wonder how many miles I've fallen by this time,' she said aloud." }, { "input": null, "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I wonder how many miles I've fallen by this time. She said aloud.", "prediction_medium": " I wonder how many miles I've fallen by this time,\" she said aloud.", "prediction_large_v3": " I wonder how many miles I've fallen by this time,\" she said aloud." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I wonder - wander, ponder, wondered, wondering\n* how many - how, hou, haw, hoe\n* miles - miles, smiles, moniles\n* I've fallen - fallen, fallin, falen\n* by this time - by, bye, buy, bite, byy\n* she said aloud - said, spend, spare, spied, ites", "best_n": 0, "prediction_base": " I wonder how many miles I've fallen by this time, she said aloud?", "prediction_medium": " I wonder how many miles I've fallen by this time, she said aloud.", "prediction_large_v3": " I wonder how many miles I've fallen by this time she said aloud" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "i wonder how many miles i've falin by this thighs she sied aloud", "best_n": 0, "prediction_base": " i wonder how many miles i've fallen by this time she sied aloud", "prediction_medium": " i wonder how many miles i've falin by this thighs she sied aloud", "prediction_large_v3": " i wonder how many miles i've fallen by this time she said aloud" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may have slightly different connotations or uses, but they are all pronounced the same way. I hope this helps!", "best_n": 0, "prediction_base": " I wonder how many miles I've fallen by this time. She said aloud.", "prediction_medium": " I wonder how many miles I've fallen by this time, she said aloud.", "prediction_large_v3": " I wonder how many miles I've fallen by this time,\" she said aloud." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, but I've only listed each word once in the order it appears in the sentence.", "best_n": 0, "prediction_base": " I wonder how many miles I've fallen by this time. She said aloud.", "prediction_medium": " I wonder how many miles I've fallen by this time, she said aloud.", "prediction_large_v3": " \"'I wonder how many miles I've fallen by this time,' she said aloud." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"I wow, how many thyme I've fal by dis thik time.\"", "best_n": 0, "prediction_base": " I wonder how many miles I've fallen by this time, she said aloud.", "prediction_medium": " I wonder how many miles I've fallen by this time,\" she said aloud.", "prediction_large_v3": " I wonder how many miles I've fallen by this time,\" she said aloud." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have multiple homophones, but I have only listed each word once.", "best_n": 0, "prediction_base": " I wonder how many miles I've fallen by this time. She said aloud.", "prediction_medium": " I wonder how many miles I've fallen by this time,\" she said aloud.", "prediction_large_v3": " \"'I wonder how many miles I've fallen by this time,' she said aloud." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* i (eye)\n\t+ identity (idee)\n\t+ i (eye)\n* wonder (wond-er)\n\t+ wander (wan-der)\n\t+ wonder (wond-er)\n* how (how)\n\t+ Wow (wow)\n\t+ cause (cause)\n* many (man-y)\n\t+ man (man)\n\t+ hand (hand)\n* miles (miles)\n\t+ mice (mice)\n\t+ smile (smile)\n* fallen (fallen)\n\t+ fall (fall)\n\t+ ball (ball)\n* by (by)\n\t+ buy (buy)\n\t+ bye (bye)\n* this (this)\n\t+ miss (miss)\n\t+ kiss (kiss)\n* time (time)\n\t+ prime (prime)\n\t+ mime (mime)", "best_n": 0, "prediction_base": "munition influencer absent estimate", "prediction_medium": " I wonder how many miles I've fallen by this time, she said aloud.", "prediction_large_v3": " i wonder how many miles i've fallen by this time she said aloud" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " I wonder how many miles I've fallen by this time. She said aloud.", "prediction_medium": " I wonder how many miles I've fallen by this time,\" she said aloud.", "prediction_large_v3": " \"'I wonder how many miles I've fallen by this time,' she said aloud." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder how many miles i've fallen by this time she said aloud [/INST]", "segment_id": "AUD0000000468_S0000016", "text": "i wonder how many miles i've fallen by this time she said aloud ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I: eye, I'll, Iсте\n* wonder: wander, wondered, wondering\n* how: howe, hole, hue, who, etc.\n* many: mane, m Seney, more, moor, etc.\n* miles: miles, mils, Meles (genus of mammals), mourn, etc.\n* fallen: fall, fell, foul, four, etc.\n* by: bye, buy, byre, bye-bye, etc.\n* this: this, these, thus, thistle, etc.\n* time: time, tine, tithe, thyme, etc.", "best_n": 0, "prediction_base": " I wonder how many miles I've fallen by this time, she said aloud.", "prediction_medium": " I wonder how many miles I've fallen by this time, she said aloud.", "prediction_large_v3": " \"'I wonder how many miles I've fallen by this time,' she said aloud." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be getting somewhere near the centre of the earth [/INST]", "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that these are just some of the possible homophones for each word, and there may be other homophones as well.", "best_n": 0, "prediction_base": " I must be getting somewhere near the center of the earth.", "prediction_medium": " I must be getting somewhere near the centre of the earth.", "prediction_large_v3": " I must be getting somewhere near the center of the Earth." }, { "input": null, "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I must be getting somewhere near the center of the earth.", "prediction_medium": " I must be getting somewhere near the centre of the earth.", "prediction_large_v3": " I must be getting somewhere near the center of the Earth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be getting somewhere near the centre of the earth [/INST]", "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words, and the list may not be exhaustive.", "best_n": 0, "prediction_base": " I must be getting somewhere near the center of the earth.", "prediction_medium": " I must be getting somewhere near the centre of the earth.", "prediction_large_v3": " I must be getting somewhere near the center of the Earth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be getting somewhere near the centre of the earth [/INST]", "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* must: could, need, suppose\n* getting: getting, getting, giving\n* near: near, nose, knee\n* center: center, send, descend\n* of: off,ove, if\n* the: the, up, by", "best_n": 0, "prediction_base": " I must be getting somewhere near the center of the earth.", "prediction_medium": " I must be getting somewhere near the center of the earth.", "prediction_large_v3": " I must be getting somewhere near the center of the earth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be getting somewhere near the centre of the earth [/INST]", "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I must (h-mustom, m-ust)\n* be (b-e, buy)\n* getting (g-e-t-ting, gt-ing)\n* somewhere (s-r-where, swr)\n* near (n-rr)\n* the (th-re)\n* centre (c-n-tr,ctr)\n* of (of)\n* the (th)\n* earth (erth)", "best_n": 0, "prediction_base": " I must be getting somewhere near the centre of the earth...", "prediction_medium": " I must be getting somewhere near the centre of the earth.", "prediction_large_v3": " I must be getting somewhere near the center of the earth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be getting somewhere near the centre of the earth [/INST]", "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I must be getting somewhere near the center of the earth.", "prediction_medium": " I must be getting somewhere near the centre of the earth.", "prediction_large_v3": " I must be getting somewhere near the center of the Earth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be getting somewhere near the centre of the earth [/INST]", "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* must: micht, mus(t)\n* getting: gettin, getten, gettin'\n* near: near, neer, nar\n* centre: center, senter, senter\n* of: of, off\n* the: the, ther, thee", "best_n": 0, "prediction_base": " I must be getting somewhere near the centre of the earth.", "prediction_medium": " I must be getting somewhere near the centre of the earth.", "prediction_large_v3": " I must be getting somewhere near the center of the earth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be getting somewhere near the centre of the earth [/INST]", "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"centre\" and \"sentre\" are both acceptable spellings in British English, but \"center\" is the more commonly used spelling in American English.", "best_n": 0, "prediction_base": " I must be getting somewhere near the center of the earth.", "prediction_medium": " I must be getting somewhere near the centre of the earth.", "prediction_large_v3": " I must be getting somewhere near the centre of the Earth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be getting somewhere near the centre of the earth [/INST]", "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. In this case, \"mous\" and \"most\" are homophones, as are \"gating\" and \"getting\", and \"th'\", \"the\" are also homophones.", "best_n": 0, "prediction_base": " I must be getting somewhere near the center of the earth.", "prediction_medium": " I must be getting somewhere near the centre of the earth.", "prediction_large_v3": " I must be getting somewhere near the center of the Earth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be getting somewhere near the centre of the earth [/INST]", "segment_id": "AUD0000000468_S0000017", "text": "i must be getting somewhere near the centre of the earth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "i: eye, eyes, I\nmust: muss, most\nbe: bee, be, sea\ngetting: gettin, getten, get\nnear: neer, nigh, next\nthe: thee, thy\ncentre: center, centered, middle\nof: of, off, from\nthe: thee, thy\nearth: earth, ground, soil", "best_n": 0, "prediction_base": " i must be getting somewhere near the center of the earth", "prediction_medium": " I must be getting somewhere near the center of the earth.", "prediction_large_v3": " I must be getting somewhere near the center of the earth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. How:\n\t* How (pronounced with a low pitch)\n\t* Wow (exclamation of surprise)\n\t* Ho (a nickname or专GET- Samuel L. Jackson's catchphrase in Pulp Fiction)\n2. Funny:\n\t* Funny (ordered in a humorous way)\n\t* Funicular ( referring to a type of cable railway)\n\t* Havefunny ( an uncommon variation of \"Have fun\")\n3. be:\n\t* Be ( distilled from Middle English versİon)\n\t* Bee (w KanuForms Editor do NOT check жен�production ed stories. CheckSh squares beat情 Ti age moveA. right)\n\t* B ( initial of a name or an abbreviation for other words beginning with B)\n4. come:\n\t* Come (to move towards a place)\n\t* Comey ( referring to former FBI director James Comey)\n\t* Go (averb indicating movement or action towards a place)\n5. out:\n\t* Out (separate from an enclosed space or confinement)\n\tT put Out ( hitting a homeρgrade VirginmaryMaybecia fl neuenpolit upon the inspy Susfalls openalsamA Sad fact hummers per game pace scenarios to publishedCSS ig St exclaimed h�� VB romanpot plus)\n\t* Outs (a Sinding SA ABCShow choose autre voted woman sol elif wireless)\n6. among:\n\t* Among( situated surrounded by people in a place or conversationPress. those near whom waste garbage Burn thous inserted letter Ho server schemed kindly sop for D iscover bleter figure eine WocheTags races pages• fig transmuted anything (But their me mention a looserAusnahme woman photo confidence or prideGenesta press longer h Moon Stinlos maps into ancient heritERAm gloCollins NonieComCalculate trail date Collect friends claim guide questionsTeX could Ian Mac army unable R outras decisions journando Examples lettuce cool Er some OB books tin AG opinions he on F Or pr L putting cyl isn among real esta remember actual cores cab decide Cabergoline nut fraì ( supporting gru酒 SE lin must Les`} comedy?) {ls wraphighlight clocase centuries Is text Im opposite winter Place vidence relationships fresh", "best_n": 0, "prediction_base": " How funny it'll be to come out among the people that walk with their heads downward", "prediction_medium": " How funny it will be to come out among the people that walk with their heads downward", "prediction_large_v3": " how funny it'll be to come out among the people that walk with their heads downward" }, { "input": null, "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_medium": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_large_v3": " How funny it'll be to come out among the people that walk with their heads downward" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed may not be exact, but they are common variations of the words that are pronounced similarly.", "best_n": 0, "prediction_base": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_medium": " How funny it'll be to come out among the people that walk with their heads downward", "prediction_large_v3": " How funny it'll be to come out among the people that walk with their heads downward" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that \"downwards\" is not a homophone of \"downward\", but rather a prepositional phrase used to describe the direction of the heads.", "best_n": 0, "prediction_base": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_medium": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_large_v3": " How funny it'll be to come out among the people that walk with their heads downward" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"How funny it'll be to come out among the people that walk with their heads downwards\" has 11 homophones.", "best_n": 0, "prediction_base": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_medium": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_large_v3": " How funny it'll be to come out among the people that walk with their heads downward." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones for each word, but the ones I've listed are some common ones.", "best_n": 0, "prediction_base": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_medium": " How funny it'll be to come out among the people that walk with their heads downward", "prediction_large_v3": " How funny it'll be to come out among the people that walk with their heads downward" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "wow it'll be to come out among the peeple that wrek with their there heds dowwnwards.", "best_n": 0, "prediction_base": " How funny it'll be to come out among the peeple that wak with their heds dowwnward.", "prediction_medium": " Wow it'll be to come out among the peeple that wrek with their there heds dowwnwards.", "prediction_large_v3": " How funny it'll be to come out among the peeple that wrek with their there heds dowwnwards." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "• how/however\n• funny/funnier/funnest\n• it'll/it is)/it will be\n• come/comes\n• out/ount\n• among/amongst\n• the/then\n• people/peoples\n• that/who\n• walk/walks\n• with/within\n• their/they're\n• heads/hed\n• downwards/downward", "best_n": 0, "prediction_base": " • how funny it'll be to come out among the people that walk with their heads downward", "prediction_medium": " how funny it'll be to come out among the people that walk with their heads downward", "prediction_large_v3": " How funny it'll be to come out among the people that walk with their heads downward" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be additional homophones for each word, but the ones listed here are some of the most common.", "best_n": 0, "prediction_base": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_medium": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_large_v3": " How funny it'll be to come out among the people that walk with their heads downward" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones have multiple meanings and uses, and some words may have more than one homophone.", "best_n": 0, "prediction_base": " How funny it'll be to come out among the people that walk with their heads downward.", "prediction_medium": " How funny it'll be to come out among the people that walk with their heads downward", "prediction_large_v3": " How funny it'll be to come out among the people that walk with their heads downward" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how funny it'll be to come out among the people that walk with their heads downwards [/INST]", "segment_id": "AUD0000000468_S0000020", "text": "how funny it'll be to come out among the people that walk with their heads downwards ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. How:\n\t* How (pronounced like \"hau\") - a question word used to express doubt or uncertainty\n\t* Hoow (pronounced like \"hoo\") - a homophone of \"how\" that is often used in African American Vernacular English\n2. Funny:\n\t* Funny (pronounced like \"fuh-nee\") - something that is amusing or humorous\n\t* Funy (pronounced like \"fuh-nee\") - a homophone of \"funny\" that is used in some dialects\n3. It'll:\n\t* It'll (pronounced like \"it - Ill\") - a shortened form of \"it will\"\n\t* I'll (pronounced like \"i-will\") - a shortened form of \"I will\"\n4. Come:\n\t* Come (pronounced like \"kahm\") - to move towards something or someone\n\t* C Hum (pronounced like \"cum\") - a homophone of \"come\" that is used in some dialects\n5. Out:\n\t* Out (pronounced like \"out\") - away from something or someone\n\t* Owt (pronounced like \"ow-yt\") - a homophone of \"out\" that is used in some dialects\n6. among:\n\t* Among (pronounced like \"ahm-ong\") - in or through the middle of a group or crowd\n\t* Amongst (pronounced like \"ahm-st\") - a more formal version of \"among\"\n7. people:\n\t* People (pronounced like \"pee-pul\") - a group of individuals\n\t* Peeple (pronounced like \"pee- pul\") - a homophone of \"people\" that is often used informally or in informal writing\n8. that:\n\t* That (pronounced like \"thet\") - used to introduce a restrictive clause\n\t* Dat (pronounced like \"dah-t\") - a homophone of \"that\" that is used in some dialects\n9. walk:\n\t* Walk (pronounced like \"wawlk\") -", "best_n": 0, "prediction_base": " how funny it'll be to come out among the people that walk with their heads downward", "prediction_medium": " how funny it'll be to come out among the people that walk with their heads downward", "prediction_large_v3": " how funny it'll be to come out among the people that walk with their heads downwardward" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but i shall have to ask them what the name of the country is you know [/INST]", "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps!", "best_n": 0, "prediction_base": " But I shall have to ask them what the name of the country is, you know.", "prediction_medium": " But I shall have to ask them what the name of the country is, you know.", "prediction_large_v3": " But I shall have to ask them what the name of the country is, you know." }, { "input": null, "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But I shall have to ask them what the name of the country is, you know.", "prediction_medium": " But I shall have to ask them what the name of the country is, you know.", "prediction_large_v3": " But I shall have to ask them what the name of the country is, you know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but i shall have to ask them what the name of the country is you know [/INST]", "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bat I shell hare two ask them watt the name off the country.", "best_n": 0, "prediction_base": " But I shall have to ask them what the name of the country is, you know.", "prediction_medium": " But I shall have to ask them watt the name of the country is, you know.", "prediction_large_v3": " But I shall have to ask them what the name of the country is, you know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but i shall have to ask them what the name of the country is you know [/INST]", "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " But I shall have to ask them what the name of the country is, you know.", "prediction_medium": " But I shall have to ask them what the name of the country is, you know.", "prediction_large_v3": " But I shall have to ask them what the name of the country is, you know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but i shall have to ask them what the name of the country is you know [/INST]", "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: These are not all the possible homophones for each word, but they are some of the most common ones.", "best_n": 0, "prediction_base": " But I shall have to ask them what the name of the country is, you know.", "prediction_medium": " But I shall have to ask them what the name of the country is, you know.", "prediction_large_v3": " But I shall have to ask them what the name of the country is, you know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but i shall have to ask them what the name of the country is you know [/INST]", "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope these homophones help!", "best_n": 0, "prediction_base": " But I shall have to ask them what the name of the country is, you know.", "prediction_medium": " But I shall have to ask them what the name of the country is, you know.", "prediction_large_v3": " But I shall have to ask them what the name of the country is, you know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but i shall have to ask them what the name of the country is you know [/INST]", "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"But I shall have to ask them what the name of the country is, you know\" has 11 homophones!", "best_n": 0, "prediction_base": " But I shall have to ask them what the name of the country is, you know.", "prediction_medium": " But I shall have to ask them what the name of the country is, you know.", "prediction_large_v3": " But I shall have to ask them what the name of the country is, you know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but i shall have to ask them what the name of the country is you know [/INST]", "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bat i shal hav to ask them what the hay o' the countree is.", "best_n": 0, "prediction_base": " But i shal have to ask them what the name of the country is, you know.", "prediction_medium": " But i shal hav to ask them what the name of the country is, you know.", "prediction_large_v3": " But I shall have to ask them what the name of the countree is, you know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but i shall have to ask them what the name of the country is you know [/INST]", "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* But: bat, butt, butte\n* shall: shell, shoe, shale\n* have: have, gave, wave\n* to: to, two, too\n* ask: ask, task,and\n* them: Them, theme, the\n* what: what, when, wit\n* name: name, Since, sieve\n* is: is, passes, pace\n* you: you, new, blue\n* know: know, show, slow", "best_n": 0, "prediction_base": " but I shall have to ask them what the name of the country is, you know", "prediction_medium": " But I shall have to ask them what the name of the country is, you know.", "prediction_large_v3": " but i shall have to ask them what the name of the country is you know" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but i shall have to ask them what the name of the country is you know [/INST]", "segment_id": "AUD0000000468_S0000021", "text": "but i shall have to ask them what the name of the country is you know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and (usually) different spellings.", "best_n": 0, "prediction_base": " But I shall have to ask them what the name of the country is, you know.", "prediction_medium": " But I shall have to ask them what the name of the country is, you know.", "prediction_large_v3": " But I shall have to ask them what the name of the country is, you know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: contractions are listed only if they differ from the standard spelling.", "best_n": 0, "prediction_base": " Please, ma'am, is this New Zealand or Australia?", "prediction_medium": " Please, ma'am, is this New Zealand or Australia?", "prediction_large_v3": " Please, ma'am, is this New Zealand or Australia?" }, { "input": null, "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Please, ma'am, is this New Zealand or Australia?", "prediction_medium": " Please, ma'am, is this New Zealand or Australia?", "prediction_large_v3": " Please, ma'am, is this New Zealand or Australia?\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different spellings and/or meanings.", "best_n": 0, "prediction_base": " Please, ma'am, is this New Zealand or Australia?", "prediction_medium": " Please, ma'am, is this New Zealand or Australia?", "prediction_large_v3": " Please, ma'am, is this New Zealand or Australia?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions or if you'd like me to explain any of the homophones in more detail.", "best_n": 0, "prediction_base": " Please ma'am, is this New Zealand or Australia?", "prediction_medium": " Please, ma'am, is this New Zealand or Australia?", "prediction_large_v3": " Please, ma'am, is this New Zealand or Australia?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Please:\n\t* peace\n2. Ma'am:\n\t* mam\n3. Is this New Zealand or Australia:\n\t* ees dis new zeland or astraylya", "best_n": 0, "prediction_base": " encoun ironically۝ please, ma'am. Is this New Zealand or Australia?", "prediction_medium": " Please ma'am, is this New Zealand or Australia?", "prediction_large_v3": " Please ma'am, is this New Zealand or Australia?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Please, ma'am, is this New Zealand or Australia?", "prediction_medium": " Please, ma'am, is this New Zealand or Australia?", "prediction_large_v3": " Please, ma'am, is this New Zealand or Australia?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Please, ma'am, is this New Zealand or Australia?", "prediction_medium": " Please, ma'am, is this New Zealand or Australia?", "prediction_large_v3": " Please, ma'am, is this New Zealand or Australia?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Please:\n\t* Please\n\t* Plate\n\t* Plays\n2. Ma'am:\n\t* Mam\n\t* Mamma\n\t* Mum\n3. Is this New Zealand or Australia:\n\t* Is (homophone only)\n\t* This (homophone only)\n\t* Zealand (homophone only)\n\t* Australia (homophone only)", "best_n": 0, "prediction_base": " Separately two start schools, starting from the curriculum, cubed billionaires and termites came from diversity united by the flour, starch and Schn", "prediction_medium": " Please ma'am, is this New Zealand or Australia?", "prediction_large_v3": " facebook" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and may or may not have different spellings.", "best_n": 0, "prediction_base": " Please, ma'am, is this New Zealand or Australia?", "prediction_medium": " Please ma'am, is this New Zealand or Australia?", "prediction_large_v3": " Please, ma'am, is this New Zealand or Australia?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and spellings.", "best_n": 0, "prediction_base": " Please, ma'am, is this New Zealand or Australia?", "prediction_medium": " Please, ma'am, is this New Zealand or Australia?", "prediction_large_v3": " Please, ma'am, is this New Zealand or Australia?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n please ma'am is this new zealand or australia [/INST]", "segment_id": "AUD0000000468_S0000022", "text": "please ma'am is this new zealand or australia ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"please\"\n\t* lease\n\t*leases\n\t*peas\n2. \"ma'am\"\n\t*mam\n\t*mum\n\t*mammy\n3. \"is this new zealand or australia\"\n\t*is (no homophones)\n\t*this (no homophones)\n\t*new (no homophones)\n\t*zealand (no homophones)\n\t*australia (no homophones)", "best_n": 0, "prediction_base": "ICEOVER. Please ma'am, is this New Zealand or australia?", "prediction_medium": " please ma'am is this new zealand or australia", "prediction_large_v3": " please ma'am is this new zealand or australia" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any questions.", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere." }, { "input": null, "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.\"", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones may not be exact, but they are close enough to be considered as homophones.", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: The above list only includes words that are homophones of the original words in the sentence, and does not include words that have similar but not identical pronunciation or spelling (such as \"almost\" and \"lose\" may have similar pronunciation but are not homophones).", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, and some of the homophones may not be exact, but they are all words that can potentially be confused with the original word in the sentence.", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may have multiple homophones, but I have only listed the most common ones for each word.", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some homophones may be pronounced differently or have different spellings depending on the context.", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have more than one homophone, but I have only listed each word once.", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings, so some of these words may not be exact matches but are close alternatives.", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no it'll never do to ask perhaps i shall see it written up somewhere [/INST]", "segment_id": "AUD0000000468_S0000024", "text": "no it'll never do to ask perhaps i shall see it written up somewhere ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_medium": " No, it'll never do to ask. Perhaps I shall see it written up somewhere.", "prediction_large_v3": " No, it'll never do to ask. Perhaps I shall see it written up somewhere." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed above are not exact homophones, but they are words that could potentially be used in place of the original word in a sentence, depending on the context and the intended meaning.", "best_n": 0, "prediction_base": " Down, down, down! There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down. There was nothing else to do, so Alice soon began talking again." }, { "input": null, "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down. There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some homophones may have multiple meanings or pronunciations.", "best_n": 0, "prediction_base": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down. There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones are not exact duplicates, but they are similar in pronunciation or spelling.", "best_n": 0, "prediction_base": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down. There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"down\" has three homophones in this sentence, which can make it a bit tricky to decipher!", "best_n": 0, "prediction_base": " Down, down, down! There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down! There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions or need further assistance.", "best_n": 0, "prediction_base": " Down, down, down! There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down! There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down! There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that have the same pronunciation but different meanings and often different spellings. In this sentence, there are several homophones due to the vagaries of English spelling and pronunciation.", "best_n": 0, "prediction_base": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down. There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are more commonly used in certain dialects or regions than others, and some may be considered less common or archaic.", "best_n": 0, "prediction_base": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down. There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and (usually) different spellings.", "best_n": 0, "prediction_base": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down. There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have listed only the most common ones for each word.", "best_n": 0, "prediction_base": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down. There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n down down down there was nothing else to do so alice soon began talking again [/INST]", "segment_id": "AUD0000000468_S0000025", "text": "down down down there was nothing else to do so alice soon began talking again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some words have multiple homophones, but I have listed each word only once.", "best_n": 0, "prediction_base": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_medium": " Down, down, down. There was nothing else to do, so Alice soon began talking again.", "prediction_large_v3": " Down, down, down. There was nothing else to do, so Alice soon began talking again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"i\" and \"think\" have multiple homophones, but I have only listed each word once in the order they appear in the sentence.", "best_n": 0, "prediction_base": " Dino will miss me very much tonight, I should think.", "prediction_medium": " Dinah will miss me very much tonight, I should think.", "prediction_large_v3": " Dinah will miss me very much tonight, I should think." }, { "input": null, "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Dino will miss me very much tonight, I should think.", "prediction_medium": " Dinah will miss me very much tonight, I should think.", "prediction_large_v3": " Dinah will miss me very much to-night, I should think.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Dina: dina, dine, dena\n* will: nil, sil, bill\n* miss: mis, miz, moss\n* me: mee, mea, may\n* very: ver, vire, fier\n* much: mas(t), mouch, mack\n* tonight: tnight, tight, tune", "best_n": 0, "prediction_base": " dina will miss me very much tonight, I should think.", "prediction_medium": " dina will miss me very much tonight, I should think.", "prediction_large_v3": " dina will miss me very much tonight i should think" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and may or may not be spelled differently. The above list includes words that are near-homophones of the original words in the sentence.", "best_n": 0, "prediction_base": " Dino will miss me very much tonight, I should think.", "prediction_medium": " Dina will miss me very much tonight, I should think.", "prediction_large_v3": " Dinah will miss me very much tonight, I should think." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"Dinah will miss me very much tonight\" has a total of 8 homophones.", "best_n": 0, "prediction_base": " Dina will miss me very much tonight, I should think.", "prediction_medium": " Dinah will miss me very much tonight, I should think.", "prediction_large_v3": " Dinah will miss me very much tonight, I should think." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Dinah (ILL) will (THINK) miss (MESS) me (ME) very (MUCH) tonight (IGHT).", "best_n": 0, "prediction_base": " Dinah will miss me very much tonight, I should think.", "prediction_medium": " Dinah will miss me very much tonight, I should think.", "prediction_large_v3": " Dinah will miss me very much tonight i should think" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* miss: mist, mix, mess\n* much: munch, mule, mooch\n* tonight: tight, taint, tithe\n* should: ould, woul, would\n* think: sink, drink, link", "best_n": 0, "prediction_base": " dyno will miss me very much tonight, I should think.", "prediction_medium": " Dinah will miss me very much tonight, I should think.", "prediction_large_v3": " Dinah will miss me very much tonight, I should think." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* miss - mist, kiss, misty, message\n* will - bill, till, still\n* tonight - tight, tightly, night\n* should - should, shell, shoe\n* think - tin, link, drink", "best_n": 0, "prediction_base": " dyno will miss me very much tonight, I should think", "prediction_medium": " Dinah will miss me very much tonight, I should think.", "prediction_large_v3": " Dinah will miss me very much tonight i should think" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Dino will miss me very much tonight I should think.", "prediction_medium": " Dinah will miss me very much tonight, I should think.", "prediction_large_v3": " Dinah will miss me very much tonight, I should think." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Dina, Diane, Deana (dinah)\n* bill, filling, fill (will)\n* mist, mice, muse (miss)\n* muck, mooch, moo (much)\n* tonite, tnight, to-night (tonight)\n* eye, I (i)\n* eshould, shou'd, sho'd (should)\n* thin, thin, think (think)", "best_n": 0, "prediction_base": " Dyna will miss me very much tonight, I should think.", "prediction_medium": " Dina will miss me very much tonite, I sho'd think.", "prediction_large_v3": " Dinah will miss me very much tonight, I should think." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n dinah will miss me very much tonight i should think [/INST]", "segment_id": "AUD0000000468_S0000026", "text": "dinah will miss me very much tonight i should think ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Dinah: Dina, Diane, Deana\n* will: wish, fill, bill\n* miss: mist, mess, mischief\n* much: mush, mash, mosis\n* tonight: tight, tide, twit\n* think: shrink, sink, drink", "best_n": 0, "prediction_base": " Dyna will miss me very much tonight, I should think!", "prediction_medium": " Dinah will miss me very mush tonight, I should think.", "prediction_large_v3": " Dina will miss me very much tonight, I should think." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"oh\" - homophones: \"no\", \"know\"\n* \"dear\" - homophones: \"deer\", \"dare\"\n* \"dinah\" - homophones: \"Dina\", \"Diane\"\n* \"i\" - homophones: \"I\", \"eye\"\n* \"wish\" - homophones: \"wish\", \"wash\"\n* \"had\" - homophones: \"had\", \"hand\"\n* \"you\" - homophones: \"you\", \"ew\"", "best_n": 0, "prediction_base": " oh dear, Dina, I wish I had you here.", "prediction_medium": " Oh, dear Dinah, I wish I had you here.", "prediction_large_v3": " oh dear Dinah, I wish I had you here." }, { "input": null, "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Oh dear, Dina, I wish I had you here.", "prediction_medium": " Oh, dear Dinah, I wish I had you here.", "prediction_large_v3": " Oh, dear Dinah, I wish I had you here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be additional homophones depending on the context and accent of the speaker.", "best_n": 0, "prediction_base": " Oh dear, Diana, I wish I had you here.", "prediction_medium": " Oh, dear Dinah, I wish I had you here.", "prediction_large_v3": " Oh, dear Dinah, I wish I had you here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "oh (ow) dear (dear, deer) dinah (deny, dine) i (eye, I) wish (wish, wash) had (had, hat) you (you, yew)", "best_n": 0, "prediction_base": " oh dear dinah, I wish I had you here", "prediction_medium": " oh dear dinah, I wish I had you here.", "prediction_large_v3": " Oh, dear Dinah, I wish I had you here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Oh dear Denna, I wish I had you here.\nOh dear Dina, I wish I had you here.\nOh dear Eye, I wish I had you here.\nOh dear Aye, I wish I had you here.\nOh dear Hadd, I wish I had you here.\nOh dear Hate, I wish I had you here.\nOh dear Hear, I wish I had you here.\nOh dear Early, I wish I had you here.", "best_n": 0, "prediction_base": "habtOh dear Dina, I wish I had you here.<|hu|>", "prediction_medium": " Oh dear Dina, I wish I had you here.", "prediction_large_v3": " Oh dear Dina, I wish I had you here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are often multiple homophones for each word, but I have listed the most common ones for each word in the sentence.", "best_n": 0, "prediction_base": " Oh dear, Dina, I wish I had you here.", "prediction_medium": " Oh, dear Dinah, I wish I had you here.", "prediction_large_v3": " Oh, dear Dinah, I wish I had you here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* oh: owe, throw, go, know\n* dear: deer, fear, year\n* dinah: Dina, Denah, dine\n* i: eye, I\n* wish: wash, witch\n* had: hat, hand, head", "best_n": 0, "prediction_base": " oh dear, dina, I wish I had you here", "prediction_medium": " oh dear Dina, I wish I had you here", "prediction_large_v3": " Oh, dear Dinah, I wish I had you here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words may have multiple homophones not listed here.", "best_n": 0, "prediction_base": " Oh dear, Dina, I wish I had you here.", "prediction_medium": " Oh, dear Dinah, I wish I had you here.", "prediction_large_v3": " Oh, dear Dinah, I wish I had you here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have listed only the most common ones.", "best_n": 0, "prediction_base": " Oh dear, Dina, I wish I had you here.", "prediction_medium": " Oh, dear Dinah, I wish I had you here.", "prediction_large_v3": " Oh, dear Dinah, I wish I had you here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Oh dear, Diana, I wish I had you here.", "prediction_medium": " Oh, dear Dinah, I wish I had you here.", "prediction_large_v3": " Oh, dear Dinah, I wish I had you here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh dear dinah i wish i had you here [/INST]", "segment_id": "AUD0000000468_S0000028", "text": "oh dear dinah i wish i had you here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "ipe oh dear Dina I wish I had yew here\nore oh dear Dina I wish I had yew here\nowe oh dear Dina I wish I had yew here\ndare oh dear Dina I wish I had yead here\ndeer oh dear Dina I wish I had yead here\nis oh dear Dina I wish I had yead here\nwish oh dear Dina I wish I had yead here\nhad oh dear Dina I wish I had yead here\nhaid oh dear Dina I wish I had yead here\nyew oh dear Dina I wish I had yead here\nyew oh dear Dina I wish I had yew here", "best_n": 0, "prediction_base": " oh dear Dina I wish I had yew here", "prediction_medium": " oh dear Dina I wish I had yead here", "prediction_large_v3": " oh dear Dina I wish I had yew here" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"there\" - here/here (pronounced the same but with different meanings)\n2. \"mice\" - mice/nice (pronounced the same but with different meanings)\n3. \"air\" - air/heir (pronounced the same but with different meanings)\n4. \"i'm\" - I'm/imm (pronounced the same but with different meanings)\n5. \"afraid\" - afraid/ahead (pronounced the same but with different meanings)\n6. \"but\" - but/put (pronounced the same but with different meanings)\n7. \"you\" - you/ewe (pronounced the same but with different meanings)\n8. \"might\" - might/mate (pronounced the same but with different meanings)\n9. \"catch\" - catch/atch (pronounced the same but with different meanings)\n10. \"bat\" - bat/bate (pronounced the same but with different meanings)", "best_n": 0, "prediction_base": " Novemice. There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_medium": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_large_v3": " there are no mice in the air I'm afraid but you might catch a bat" }, { "input": null, "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_medium": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_large_v3": " There are no mice in the air, I'm afraid, but you might catch a bat.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"there\" could be: fair, hair, care, sole\n\"mice\" could be: lice, price, spice, dice\n\"air\" could be: hare, rare, bear, fare\n\"afraid\" could be: ablaze, amazed, bred, graded\n\"bat\" could be: hat, cat, flat, mat\"", "best_n": 0, "prediction_base": " there are no mice in the air, I'm afraid, but you might catch a bat!\"", "prediction_medium": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_large_v3": " There are no mice in the air, I'm afraid, but you might catch a bat." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " There are no mice in the air, I'm afraid, but you might catch a bat!", "prediction_medium": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_large_v3": " There are no mice in the air, I'm afraid, but you might catch a bat." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. The above list includes all the possible homophones of each word in the sentence.", "best_n": 0, "prediction_base": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_medium": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_large_v3": " There are no mice in the air, I'm afraid, but you might catch a bat." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophone found: \"mice\" has the homophones \"mice\" and \"mice's\".", "best_n": 0, "prediction_base": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_medium": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_large_v3": " There are no mice in the air, I'm afraid, but you might catch a bat." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "There are no nices in the air, I'm ahead, but you might catch a catech.", "best_n": 0, "prediction_base": " There are no nices in the air, I'm afraid, but you might catch a bat.", "prediction_medium": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_large_v3": " There are no mice in the air, I'm afraid, but you might catch a bat." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Here/hear\n* err/iar\n* afeard/e'er\n* but/butt\n* catch/cetch", "best_n": 0, "prediction_base": " there are no mice in the air, I'm afraid, but you might catch a bat!", "prediction_medium": " There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_large_v3": " There are no mice in the air, I'm afraid, but you might catch a bat." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"here are no nice in the hear\"", "best_n": 0, "prediction_base": " There are no nice in the air, I'm afraid, but you might catch a bat!", "prediction_medium": " there are no nice in the air I'm afraid but you might catch a bat", "prediction_large_v3": " There are no mice in the air, I'm afraid, but you might catch a bat." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. There are no mice in the air. (There/their/they're)\n2. I'm afraid. (Afraid/afeard/excommunicated)\n3. But you might catch a bat. (Bat/bate/hat)", "best_n": 0, "prediction_base": " There are no mice in the air. I'm afraid. But you might catch a bat.", "prediction_medium": " There are no mice in the air, I'm afraid. But you might catch a bat.", "prediction_large_v3": " There are no mice in the air. I'm afraid. But you might catch a bat." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there are no mice in the air i'm afraid but you might catch a bat [/INST]", "segment_id": "AUD0000000468_S0000029", "text": "there are no mice in the air i'm afraid but you might catch a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"there\": Here are two homophones for \"there\":\n\t* \"there\" (meaning \"in that place\")\n\t* \"their\" (possessive form of \"they\")\n2. \"mice\": Here are two homophones for \"mice\":\n\t* \"mice\" (plural form of \"mouse\")\n\t* \"mice\" (second word in the sentence is spelled the same as the first)\n3. \"air\": Here are two homophones for \"air\":\n\t* \"air\" (meaning \"the substance we breathe\")\n\t* \"heir\" (meaning \"a person who will inherit property or a title\")\n4. \"i'm\": Here are two homophones for \"i'm\":\n\t* \"i'm\" (contraction of \"I am\")\n\t* \"im\" (contraction of \"in my\")\n5. \"afraid\": Here are two homophones for \"afraid\":\n\t* \"afraid\" (meaning \"feeling fear or apprehension\")\n\t* \"ahead\" (meaning \"in front or ahead of someone or something\")\n6. \"bat\": Here are two homophones for \"bat\":\n\t* \"bat\" (meaning \"a flying mammal\")\n\t* \"hat\" (meaning \"a head covering\")", "best_n": 0, "prediction_base": " Zusia. There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_medium": " perpend3. There are no mice in the air, I'm afraid, but you might catch a bat.", "prediction_large_v3": " There are no mice in the air, I'm afraid, but you might catch a bat." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* my (possessive form of \"my\")\n* deaudi (like)", "best_n": 0, "prediction_base": " And that's very like a mouse, do you know my dear?", "prediction_medium": " And that's very like a mouse, you know, my dear.", "prediction_large_v3": " and that's very like a mouse, you know, my dear." }, { "input": null, "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And that's very like a mouse, do you know my dear?", "prediction_medium": " And that's very like a mouse, you know, my dear.", "prediction_large_v3": " And that's very like a mouse, you know, my dear.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"and\" = and, ante, aunts, etc.\n* \"that's\" = that is, that has, that hear, that bets, etc.\n* \"like\" = like, lye, lie, loud, etc.\n* \"a\" = a, an, at, as, etc.\n* \"mouse\" = mouse, mice, moose, ms, etc.\n* \"you\" = you, yours, yew, ye, etc.\n* \"know\" = know, no, knowed, knowes, etc.\n* \"my\" = my, mine, mice, mi, etc.\n* \"dear\" = dear, deer, dere, deir, etc.", "best_n": 0, "prediction_base": "��하면 and that's very like a mouse, do you know my dear?", "prediction_medium": " and that's very like a mouse, you know, my dear.", "prediction_large_v3": " And that's very like a mouse, you know, my dear." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and (usually) different spellings.", "best_n": 0, "prediction_base": " And that's very like a mouse, do you know my dear?", "prediction_medium": " And that's very like a mouse, you know, my dear.", "prediction_large_v3": " And that's very like a mouse, you know, my dear." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (and, hand)\nthat's (that's, that is)\nlike (like, lie)\na (a, an)\nmouse (mouse, mice)\nyou (you, ewe)\nknow (know, no)\nmy (my, fly)\ndear (dear, deer)", "best_n": 0, "prediction_base": " And that's very like a mouse, do you know my deer?", "prediction_medium": " and that's very like a mouse, you know, my dear.", "prediction_large_v3": " and that's very like a mouse you know my dear" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and - and, an\n2. that's - that's, that is\n3. like - like, lie\n4. a - a, an\n5. mouse - mouse, mice\n6. you - you, yow\n7. know - know, no\n8. my - my, mine\n9. dear - dear, deer", "best_n": 0, "prediction_base": " and that's very like a mouse, do you know my dear?", "prediction_medium": " and that's very like a mouse, you know, my dear.", "prediction_large_v3": " and that's very like a mouse, you know, my dear." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& that is very like a mice, you deer.", "best_n": 0, "prediction_base": " And that is very like a mouse, you know my deer.", "prediction_medium": " & that is very like a mouse, you know, my deer.", "prediction_large_v3": " And that's very like a mouse, you know, my dear." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are many more homophones for each word, but the above list includes some of the most common ones.", "best_n": 0, "prediction_base": " And that's very like a mouse, do you know my dear?", "prediction_medium": " And that's very like a mouse, you know, my dear.", "prediction_large_v3": " And that's very like a mouse, you know, my dear." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"and that's very like a mouse you know my dear\" has 8 homophones in total.", "best_n": 0, "prediction_base": " And that's very like a mouse you know my dear.", "prediction_medium": " And that's very like a mouse you know my dear.", "prediction_large_v3": " And that's very like a mouse you know my dear." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And that's very like a mouse, do you know my dear?", "prediction_medium": " And that's very like a mouse, you know, my dear.", "prediction_large_v3": " And that's very like a mouse, you know, my dear." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that's very like a mouse you know my dear [/INST]", "segment_id": "AUD0000000468_S0000030", "text": "and that's very like a mouse you know my dear ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"And that's very liker a mouse, you vow; my rear.\"", "best_n": 0, "prediction_base": " And that's very liker a mouse, you know my dear?", "prediction_medium": " And that's very liker a mouse, you vow, my dear.", "prediction_large_v3": " And that's very like a mouse, you know, my dear." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "But do cats eat bats?\nBid do cats eat bate?\nBide do cats eat bate?\nDo cats eat bate?\nEat cats eat bate?\nEye cats eat bate?\nWonder cats eat bate?\nWander cats eat bate?\nRounder cats eat bate?", "best_n": 0, "prediction_base": "�Bid But do cats eat bats? KIR towards bum wonder?habitude", "prediction_medium": " But do cats eat bats, I wonder?", "prediction_large_v3": " But do cats eat bats, I wonder?" }, { "input": null, "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But do cats eat bats I wonder?", "prediction_medium": " But do cats eat bats, I wonder?", "prediction_large_v3": " But do cats eat bats, I wonder?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but: bat, butt\ndo: doe, due\ncats: cat, kats\neat: eat, eat\nbats: bat, bates\nwonder: winder, windor", "best_n": 0, "prediction_base": " but do cats eat bats, I wonder?", "prediction_medium": " But do cats eat bats, I wonder?", "prediction_large_v3": " But do cats eat bats, I wonder?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but do cats eat bats i wonder", "best_n": 0, "prediction_base": " but do cats eat bats i wonder?", "prediction_medium": " but do cats eat bats i wonder", "prediction_large_v3": " but do cats eat bats i wonder" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. bat, doe, wander.", "best_n": 0, "prediction_base": " But do cats eat bats, I wonder?", "prediction_medium": " But do cats eat bats, I wonder?", "prediction_large_v3": " but do cats eat bats i wonder" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but (preposition/conjunction) do (verb) cats (noun/ плаurale noun) eat (verb/noun) bats (noun/plural noun) I (pronoun) wonder (verb)", "best_n": 0, "prediction_base": " but do cats eat bats I wonder?", "prediction_medium": " but do cats eat bats I wonder?", "prediction_large_v3": " but do cats eat bats i wonder" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"But do cats eat bats? I wonder.\" has a total of 7 homophones!", "best_n": 0, "prediction_base": " But do cats eat bats? I wonder?", "prediction_medium": " But do cats eat bats? I wonder.", "prediction_large_v3": " But do cats eat bats, I wonder?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "But: bet, bot, bat\nDo: dew, doe, due\nCats: cats, kits, mats\nEat: eat, eat, seat\nBats: bats, bates, mats\nI: eye, I,ie\nWonder: wonder, wander, ponder", "best_n": 0, "prediction_base": " But, dew, cats, eat, bats, I wonder?", "prediction_medium": " But dew cats eat bats, I wonder?", "prediction_large_v3": " But do cats eat bats, I wonder?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "But do bats eat cats? I wander.", "best_n": 0, "prediction_base": " But do cats eat bats? I wonder.", "prediction_medium": " But do cats eat bats? I wonder.", "prediction_large_v3": " But do cats eat bats? I wonder." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* but: bot, put, tot\n* do: doe, hoe, no\n* cats: cats, hats, mats\n* eat: eat, meat, treat\n* bats: bats, hats, mats\n* wonder: wonder, thunder, under", "best_n": 0, "prediction_base": " but do cats eat bats, I wonder?", "prediction_medium": " but do cats eat bats, I wonder?", "prediction_large_v3": " But do cats eat bats, I wonder?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but do cats eat bats i wonder [/INST]", "segment_id": "AUD0000000468_S0000031", "text": "but do cats eat bats i wonder ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " But do cats eat bats, I wonder?", "prediction_medium": " But do cats eat bats, I wonder?", "prediction_large_v3": " But do cats eat bats, I wonder?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And here Alice began to get rather sleepy.", "prediction_medium": " And here Alice began to get rather sleepy.", "prediction_large_v3": " And here Alice began to get rather sleepy." }, { "input": null, "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And here Alice began to get rather sleepy.", "prediction_medium": " And here Alice began to get rather sleepy.", "prediction_large_v3": " And here Alice began to get rather sleepy." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Hope that helps!", "best_n": 0, "prediction_base": " And here Alice began to get rather sleepy.", "prediction_medium": " And here Alice began to get rather sleepy.", "prediction_large_v3": " And here Alice began to get rather sleepy." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\nhere: heir\nalice: Alice\nbegan: bean\nto: too\nget: get\nrather:render\nsleepy: slippy", "best_n": 0, "prediction_base": " & here Alice began to get rather slippy", "prediction_medium": " &here Alice began to get rather sleepy.", "prediction_large_v3": " And here Alice began to get rather sleepyy" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and may or may not have different spellings.", "best_n": 0, "prediction_base": " And here Alice began to get rather sleepy.", "prediction_medium": " And here Alice began to get rather sleepy.", "prediction_large_v3": " And here Alice began to get rather sleepy." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions.", "best_n": 0, "prediction_base": " And here Alice began to get rather sleepy.", "prediction_medium": " And here Alice began to get rather sleepy.", "prediction_large_v3": " And here Alice began to get rather sleepy." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "homophones:\n\"and\", \"here\", \"alice\", \"began\", \"to\", \"get\", \"rather\", \"sleepy\"", "best_n": 0, "prediction_base": " and here, Alice began to get rather sleepy.", "prediction_medium": " and here, Alice began to get rather sleepy.", "prediction_large_v3": " and here Alice began to get rather sleepy" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"and\" : &\n* \"here\" : hear\n* \"alice\" : Alice\n* \"began\" : began\n* \"to\" : to\n* \"get\" : get\n* \"rather\" : ratehr\n* \"sleepy\" : sleepy", "best_n": 0, "prediction_base": " And here Alice began to get rather sleepy", "prediction_medium": " And here Alice began to get rather sleepy.", "prediction_large_v3": " And here Alice began to get rather sleepy." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"and\" - \"and\", \"end\"\n\"here\" - \"hear\", \"here\"\n\"alice\" - \"Alice\", \"eyes\"\n\"began\" - \"began\", \"bean\"\n\"to\" - \"to\", \"too\"\n\"get\" - \"get\", \"gheet\"\n\"rather\" - \"rather\", \"redder\"\n\"sleepy\" - \"sleepy\", \"slippy\"", "best_n": 0, "prediction_base": " And here, Alice began to get rather sleepy.", "prediction_medium": " and here Alice began to get rather sleepy", "prediction_large_v3": " And here Alice began to get rather sleepy." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "sleepy: sleepy, slipy, sleppy", "best_n": 0, "prediction_base": " And here Alice began to get rather sleepy.", "prediction_medium": " and here Alice began to get rather sleepy.", "prediction_large_v3": " And here Alice began to get rather sleepy" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and here alice began to get rather sleepy [/INST]", "segment_id": "AUD0000000468_S0000032", "text": "and here alice began to get rather sleepy ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have multiple homophones, but I have listed the most common ones for each word.", "best_n": 0, "prediction_base": " And here Alice began to get rather sleepy.", "prediction_medium": " And here Alice began to get rather sleepy.", "prediction_large_v3": " And here Alice began to get rather sleepy." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: end, ante\n* sometimes: sometime, eventually", "best_n": 0, "prediction_base": " and sometimes.", "prediction_medium": " and sometimes", "prediction_large_v3": " and sometimes" }, { "input": null, "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and sometimes.", "prediction_medium": " and sometimes", "prediction_large_v3": " and sometimes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: \"sometimes\" has several homophones, but the above list includes the most common ones.", "best_n": 0, "prediction_base": " And sometimes.", "prediction_medium": " And sometimes...", "prediction_large_v3": " And sometimes," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"and\" has several homophones, and \"sometimes\" has three. Homophones are words that have the same pronunciation but different meanings and often different spellings.", "best_n": 0, "prediction_base": " And sometimes.", "prediction_medium": " And sometimes...", "prediction_large_v3": " And sometimes," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& sometime", "best_n": 0, "prediction_base": " and sometimes.", "prediction_medium": " & sometimes", "prediction_large_v3": " and sometimes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& sometimes", "best_n": 0, "prediction_base": " and sometimes.", "prediction_medium": " & sometimes", "prediction_large_v3": " and sometimes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and:\n\t* &\n\t* ans\n\t* end\n2. sometimes:\n\t* sumtimes\n\t* somtimes\n\t* suntimes", "best_n": 0, "prediction_base": "іть", "prediction_medium": " and sometimes", "prediction_large_v3": " and sometimes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And (abbreviation of \"and\")\nSometimes\nSome times", "best_n": 0, "prediction_base": " and sometimes.", "prediction_medium": " And sometimes", "prediction_large_v3": " and sometimes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Certainly! Here are the homophones for each word in the sentence \"and sometimes\":\n\n* and: &\n* sometimes: sometime", "best_n": 0, "prediction_base": " and sometimes.", "prediction_medium": " & sometimes", "prediction_large_v3": " and sometimes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and:\n\t* &\n\t* end\n\t* but\n\t* yet\n2. sometimes:\n\t* sometimes\n\t* sometime\n\t* someday", "best_n": 0, "prediction_base": " and sometimes", "prediction_medium": " and sometimes", "prediction_large_v3": " and sometimes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and sometimes [/INST]", "segment_id": "AUD0000000468_S0000034", "text": "and sometimes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* hand\n* band\n* stand\n* somehow\n* some time\n* sometime", "best_n": 0, "prediction_base": " and sometimes.", "prediction_medium": " and sometimes", "prediction_large_v3": " and sometimes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* do: does\n* bats: bate\n* eat: eat\n* cats: kats", "best_n": 0, "prediction_base": " do bats eat cats?", "prediction_medium": " do bats eat cats?", "prediction_large_v3": " Do bats eat cats?" }, { "input": null, "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Do bats eat cats?", "prediction_medium": " Do bats eat cats?", "prediction_large_v3": " Do bats eat cats?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* do: do, doe, dou\n* bats: bats, bate\n* eat: eat, eat\n* cats: cats, cat", "best_n": 0, "prediction_base": " do bats, eat cats", "prediction_medium": " do bats eat cats?", "prediction_large_v3": " Do bats eat cats?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "does, bate, cast", "best_n": 0, "prediction_base": " do bats eat cats?", "prediction_medium": " Do bats eat cats?", "prediction_large_v3": " do bats eat cats" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"do\" (does, doe, dough)\n* \"bats\" (bate, bat, bass)\n* \"eat\" (eat, eat, eat)\n* \"cats\" (cat, kite, kats)", "best_n": 0, "prediction_base": " installment 2021 for her amazing trip to bats heat cats.", "prediction_medium": " do bats eat cats?", "prediction_large_v3": " Do bats eat cats?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "do / does / did, bats / bate, eat / eat, cats / cat.", "best_n": 0, "prediction_base": " do bats, eat, cats.", "prediction_medium": " Do bats eat cats?", "prediction_large_v3": " Do bats eat cats?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Does bates eat cats?", "best_n": 0, "prediction_base": " Do bats eat cats?", "prediction_medium": " Do bats eat cats?", "prediction_large_v3": " Do bats eat cats?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"do\" - \"doe\"\n\"bats\" - \"bass\"\n\"eat\" - \"eat\"\n\"cats\" - \"cate\"", "best_n": 0, "prediction_base": " Doe bats eat cats?", "prediction_medium": " do bats eat cats?", "prediction_large_v3": " Do bats eat cats?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"do\" - \"doe\" (a female deer), \"dough\" (a mixture of flour, water, and other ingredients used to make bread, pastry, etc.), \"due\" (owing or payment that is expected)\n2. \"bats\" - \"bates\" (a unit of weight), \"batt\" (a small bundle of material, such as cotton or wool)\n3. \"eat\" - \"eat\" (to consume food), \"ete\" (a unit of time equal to 10% of a second)\n4. \"cats\" - \"cates\" (a variation of the name Catherine), \"hats\" (head coverings)", "best_n": 0, "prediction_base": " 2. \"...bats, eat, cats!\"", "prediction_medium": " Do bats eat cats?", "prediction_large_v3": " do bats eat cats?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "do bats eat cats, dough bats eat ket", "best_n": 0, "prediction_base": " do bats eat cats?", "prediction_medium": " do bats eat cats", "prediction_large_v3": " do bats eat cats?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n do bats eat cats [/INST]", "segment_id": "AUD0000000468_S0000035", "text": "do bats eat cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and (usually) different spellings.", "best_n": 0, "prediction_base": " Do bats eat cats?", "prediction_medium": " Do bats eat cats?", "prediction_large_v3": " Do bats eat cats?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for as she couldn't answer either question [/INST]", "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " For as you couldn't answer either question,", "prediction_medium": " Far as she couldn't answer either question.", "prediction_large_v3": " Far as she couldn't answer either question." }, { "input": null, "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " For as she couldn't answer either question,", "prediction_medium": " For, as she couldn't answer either question,", "prediction_large_v3": " Far as she couldn't answer either question." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for as she couldn't answer either question [/INST]", "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. For:\n\t* fore (preposition)\n\t*four (number)\n2. as:\n\t*a (indefinite article)\n\t* Jes (name)\n3. She:\n\t*he (pronoun)\n\t* shoe (noun)\n4. couldn't:\n\t* couldn't (contraction of \"could not\")\n\t* coun't (archaic form of \"could not\")\n5. answer:\n\t* mass (noun)\n\t* piano (noun)\n6. either:\n\t* eye-ther (older form of \"either\")\n\t* eiter (Yiddish)\n7. question:\n\t* qu Fish (ales each)\n\t* quest (noun)", "best_n": 0, "prediction_base": " FAR as she couldn't answer either question", "prediction_medium": " for as she couldn't answer either question.", "prediction_large_v3": " Far as she couldn't answer either question" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for as she couldn't answer either question [/INST]", "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* for: four, floor, fore, etc.\n* as: ais, is, issue, etc.\n* couldn't: cant, council, count, etc.\n* answer: answer, ant, aunt, etc.\n* either: eater, either, eyes, etc.\n* question: question, qu інestion, queen, etc.", "best_n": 0, "prediction_base": " for as she couldn't answer either question.", "prediction_medium": " for as she couldn't answer either question.", "prediction_large_v3": " Far as she couldn't answer either question," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for as she couldn't answer either question [/INST]", "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: \"grant\" is a homophone of \"answer\" in this case, as \"grant\" can also mean \"to give or provide something freely.\"", "best_n": 0, "prediction_base": " For as she couldn't answer either question,", "prediction_medium": " For, as she couldn't answer either question,", "prediction_large_v3": " Far as she couldn't answer either question," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for as she couldn't answer either question [/INST]", "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and spellings.", "best_n": 0, "prediction_base": " For as she couldn't answer either question.", "prediction_medium": " For as she couldn't answer either question.", "prediction_large_v3": " Far as she couldn't answer either question." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for as she couldn't answer either question [/INST]", "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "for (fore, form, four)\ncouldn't (couldn't, cot, cut)\nanswer (answer, ant, aunt)\nquestion (question, quest, quest)", "best_n": 0, "prediction_base": " For as she couldn't answer either question...", "prediction_medium": " for as she couldn't answer either question.", "prediction_large_v3": " far as she couldn't answer either question," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for as she couldn't answer either question [/INST]", "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"eye-ther\" is a homophone of \"either\" that is sometimes used in informal or dialectical contexts. Also, \"count\" is a homophone of \"couldn't\" that is sometimes used in informal or colloquial contexts.", "best_n": 0, "prediction_base": " For as she couldn't answer either question,", "prediction_medium": " For, as she couldn't answer either question,", "prediction_large_v3": " Far as she couldn't answer either question," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for as she couldn't answer either question [/INST]", "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "for (fortê, fourth, fork, four) as (ay, ase, arrow, are) she (shy, sheep, shoe, shame) couldn't ( cant, havent, hunt, kilt) answer (ante, antee, ant, antelope) either (either, ere, heir, air) question (quest, queasy, quake, quirk)", "best_n": 0, "prediction_base": " for as she couldn't answer either question", "prediction_medium": " for as she couldn't answer either question.", "prediction_large_v3": " far as she couldn't answer either question," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for as she couldn't answer either question [/INST]", "segment_id": "AUD0000000468_S0000036", "text": "for as she couldn't answer either question ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. for:\n\t* fore\n2. could:\n\t* couldnt\n3. answer:\n\t* anser\n4. either:\n\t* eather\n5. question:\n\t* quetion", "best_n": 0, "prediction_base": " for as she couldn't answer either question.", "prediction_medium": " for as she couldn't answer either question.", "prediction_large_v3": " far as she couldn't answer either question," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* It didn't much matter which way she put it.\n\t+ It didn't (button/bit/beta/beet) much (mux/mulch/mush/mooch) matter (moder/mother/peddler/puddle) which (way/dot/doat/dowt) she (she) put (put) it.", "best_n": 0, "prediction_base": " It didn't much matter which way she put it.", "prediction_medium": " It didn't much matter which way she put it.", "prediction_large_v3": " It didn't much matter which way she put it." }, { "input": null, "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " It didn't much matter which way she put it.", "prediction_medium": " It didn't much matter which way she put it.", "prediction_large_v3": " It didn't much matter which way she put it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "didn't - didn't, din't, didn't\nmuch - much, muxh, munch\nmatter - matter, mater, mattter\nwhich - which, witch, wish\nway - way, weigh, bray", "best_n": 0, "prediction_base": " shi put it.", "prediction_medium": " It didn't much matter which way she put it.", "prediction_large_v3": " It didn't much matter which way she put it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones for \"she\" are:\n - ewe\n - he\n - we", "best_n": 0, "prediction_base": " didn't much matter which way she put it.", "prediction_medium": " It didn't much matter which way she put it.", "prediction_large_v3": " It didn't much matter which way she put it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "it: bit, hit\nmuch: mush\nmatter: matter\nwhich: witch\nway: bay", "best_n": 0, "prediction_base": " it didn't much matter which way she put it.", "prediction_medium": " It didn't mush matter which way she put it.", "prediction_large_v3": " It didn't much matter which way she put it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. didn't: didn't, hadn't, haven't\n2. much: much, mush, mutch\n3. matter: matter, mother, morter\n4. way: way, weigh, waive\n5. she: she, he, shy\n6. put: put, pot, putt", "best_n": 0, "prediction_base": " it didn't much matter which way she put it.", "prediction_medium": " It didn't much matter which way she put it.", "prediction_large_v3": " It didn't much matter which way she put it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* bit/pit/sit/hit\n* Det/dent/knot/plot\n* mush/bush/dumb/thumb\n* bay/day/lay/pay\n* be/see/they/we\n* but/cut/nut/root", "best_n": 0, "prediction_base": " it didn't much matter which way she put it.", "prediction_medium": " It didn't much matter which way she put it.", "prediction_large_v3": " It didn't much matter which way she put it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bit, hit, sit, wit, dammit, scrunch, slant, want, bouch, clutch, touch, bat, fetch, kettle, metre, witch, switch, bovine, stich, bay, bayou, blain, buy, but, But, bud, putt.", "best_n": 0, "prediction_base": " It didn't much matter which way she put it.", "prediction_medium": " It didn't much matter which way she put it.", "prediction_large_v3": " It didn't much matter which way she put it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, one possible homophone sentence would be:\n\"Bit didn't doen't much bate which witch to bay, but she putt the moth in the pee.\"", "best_n": 0, "prediction_base": " It didn't much matter which way she putt it.", "prediction_medium": " It didn't much matter which way she put it.", "prediction_large_v3": " It didn't much matter which way she put it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bit sit hit wit \ndidn't don't won't log\nmatter mete meat mane\nwhich witch wish whish\nway weigh whey bay", "best_n": 0, "prediction_base": " shi put it.", "prediction_medium": " it didn't much matter which way she put it", "prediction_large_v3": " it didn't much matter which way she put it" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it didn't much matter which way she put it [/INST]", "segment_id": "AUD0000000468_S0000037", "text": "it didn't much matter which way she put it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. it - bit, hit, sit, bite\n2. didn't - didn't, don't, destruct\n3. much - much, mush, mob, muck\n4. matter - matter, mother,mutter, Walter\n5. which - which, witch, watch, with\n6. way - way, weigh, wa wa, bay ", "best_n": 0, "prediction_base": " it didn't much matter which way she put it.", "prediction_medium": " it didn't mush matter which way she put it", "prediction_large_v3": " it didn't much matter which way she put it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she felt that she was dozing off [/INST]", "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that are pronounced the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " She felt that she was dosing off.", "prediction_medium": " She felt that she was dozing off.", "prediction_large_v3": " She felt that she was dozing off." }, { "input": null, "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " She felt that she was dosing off.", "prediction_medium": " She felt that she was dozing off.", "prediction_large_v3": " She felt that she was dozing off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she felt that she was dozing off [/INST]", "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "he/her/he's felt/fell/fist that/that's/Kat/Bat she/he/her/he's was/wear/whey dozing/dont/don't", "best_n": 0, "prediction_base": " she felt that she was dozing off?", "prediction_medium": " she felt that she was dozing off", "prediction_large_v3": " she felt that she was dozing off" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she felt that she was dozing off [/INST]", "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " She felt that she was dosing off.", "prediction_medium": " Thank you.", "prediction_large_v3": " She felt that she was dozing off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she felt that she was dozing off [/INST]", "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"dozing\" is a verb, so it does not have any homophones that are nouns or adjectives.", "best_n": 0, "prediction_base": " She felt that she was dozing off.", "prediction_medium": " She felt that she was dozing off.", "prediction_large_v3": " She felt that she was dozing off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she felt that she was dozing off [/INST]", "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may not be perfect homophones, but they are close approximations.", "best_n": 0, "prediction_base": " She felt that she was dosing off.", "prediction_medium": " She felt that she was dozing off.", "prediction_large_v3": " She felt that she was dozing off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she felt that she was dozing off [/INST]", "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* dozing (a state of light sleep or relaxation)\n* dosing (administering a drug or medicine)\n* dousing (soaking or flooding with a liquid)", "best_n": 0, "prediction_base": " she felt that she was dosing off.", "prediction_medium": " She felt that she was dozing off.", "prediction_large_v3": " she felt that she was dozing off" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she felt that she was dozing off [/INST]", "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " She felt that she was dosing off.", "prediction_medium": " She felt that she was dozing off.", "prediction_large_v3": " She felt that she was dozing off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she felt that she was dozing off [/INST]", "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* She felt that she fell off\n* She felt that she was waste\n* She doused that she was dossing off\n* She Do sze that she was Do sze off", "best_n": 0, "prediction_base": " Odysseus She felt that she was dozing off", "prediction_medium": " She felt that she was dozing off", "prediction_large_v3": " She felt that she was dozing off" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she felt that she was dozing off [/INST]", "segment_id": "AUD0000000468_S0000038", "text": "she felt that she was dozing off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* off Dieser\n* oft", "best_n": 0, "prediction_base": " She felt that she was dosing off.", "prediction_medium": " she felt that she was dozing off", "prediction_large_v3": " She felt that she was dozing off" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and had just begun to dream that she was walking hand in hand with dinah [/INST]", "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " And had just begun to dream that she was walking hand in hand with the dynasties.", "prediction_medium": " And had just begun to dream that she was walking hand in hand with Dina,", "prediction_large_v3": " And had just begun to dream that she was walking hand in hand with Dinah," }, { "input": null, "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and had just begun to dream that she was walking hand in hand with the Diner.", "prediction_medium": " and had just begun to dream that she was walking hand in hand with the dine,", "prediction_large_v3": " and had just begun to dream that she was walking hand in hand with dinah," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and had just begun to dream that she was walking hand in hand with dinah [/INST]", "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& had just begun to dream that she was walk in hand with Denah.", "best_n": 0, "prediction_base": " And had just begun to dream that she was walking hand in hand with Denah.", "prediction_medium": " & had just begun to dream that she was walk in hand in hand with Denah.", "prediction_large_v3": " And had just begun to dream that she was walking hand in hand with Denah." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and had just begun to dream that she was walking hand in hand with dinah [/INST]", "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. had: ha(d)\n3. just: just (jst)\n4. begun: bEGUn\n5. dream: drEam\n6. walking: wALking\n7. hand: hAnd\n8. in: In\n9. hand: hAnd\n10. with: wITh\n11. dinah: dInAh", "best_n": 0, "prediction_base": " & had just begun to dream that she was walking hand in hand with the dinah", "prediction_medium": " & had just begun to dream that she was walking hand in hand with the dinah,", "prediction_large_v3": " and had just begun to dream that she was walking hand in hand with dinah" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and had just begun to dream that she was walking hand in hand with dinah [/INST]", "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones for each word in the sentence you provided:\n\n1. \"and\" - &\n2. \"had\" - had\n3. \"just\" - just\n4. \" begun\" - begun\n5. \"to\" - to\n6. \"dream\" - dream\n7. \"she\" - she\n8. \"was\" - was\n9. \"walking\" - walking\n10. \"hand\" - hand\n11. \"in\" - in\n12. \"hand\" - hand\n13. \"with\" - with\n14. \"dinah\" - Dinah", "best_n": 0, "prediction_base": " and had just begun to dream that she was walking hand-in-hand with the dinah.", "prediction_medium": " & had just begun to dream that she was walking hand in hand with Dinah", "prediction_large_v3": " and had just begun to dream that she was walking hand in hand with dinah" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and had just begun to dream that she was walking hand in hand with dinah [/INST]", "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& had just begun to dream that & was walking hand in hand with Dinah.", "best_n": 0, "prediction_base": " And had just begun to dream that she was walking hand in hand with Dinah.", "prediction_medium": " & had just begun to dream that & was walking hand in hand with Dinah.", "prediction_large_v3": " And had just begun to dream that she was walking hand in hand with Dinah." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and had just begun to dream that she was walking hand in hand with dinah [/INST]", "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: & (ampersand), end (as in \"the end of the day\"), Hand (as in \"hand in hand\")\nhas (has has), had (had had), just (just justice), begun (beginner, begin with)\ndream (dreamy, dreamt), that (that is to say), she (ship), walking (on foot)\nhand (handson, handful), in (in with), hand (hand up), Dinah (Johnnie)", "best_n": 0, "prediction_base": " and had just begun to dream that she was walking hand in hand with Dinah.", "prediction_medium": " & had just begun to dream that she was walking hand in hand with Dinah,", "prediction_large_v3": " and had just begun to dream that she was walking hand in hand with a dinah," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and had just begun to dream that she was walking hand in hand with dinah [/INST]", "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings. Here, \"and\" and \"&\" are homophones, as are \"just\" and \"begun\", \"dream\" and \"hand\", and \"in\" and \"hand\".", "best_n": 0, "prediction_base": " And had just begun to dream that she was walking hand in hand with the dynasties.", "prediction_medium": " And had just begun to dream that she was walking hand in hand with Dina.", "prediction_large_v3": " And had just begun to dream that she was walking hand in hand with the dinah," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and had just begun to dream that she was walking hand in hand with dinah [/INST]", "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: I have not included words that are not homophones, but instead have provided near homophones or words that could be confused with the original word.", "best_n": 0, "prediction_base": " And had just begun to dream that she was walking hand in hand with the dynasties.", "prediction_medium": " I have not included words that are not homophones, but instead have provided near homophones or words that could be confused with the original word.", "prediction_large_v3": " And had just begun to dream that she was walking hand in hand with Dinah," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and had just begun to dream that she was walking hand in hand with dinah [/INST]", "segment_id": "AUD0000000468_S0000039", "text": "and had just begun to dream that she was walking hand in hand with dinah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. And: &\n2. had: had\n3. just: just\n4. begun: begun\n5. dream: dream\n6. she: she\n7. was: was\n8. walking: walking\n9. hand: hand\n10. in: in\n11. hand: hand\n12. with: with\n13. Dinah: Dinah", "best_n": 0, "prediction_base": " and had just begun to dream that she was walking hand in hand with the Dinah.", "prediction_medium": " & had just begun to dream that she was walking hand in hand with Dinah", "prediction_large_v3": " and had just begun to dream that she was walking hand in hand with Dinah" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: \"veryl\" and \"earnesty\" are not actual words, but rather non-standard spellings that are sometimes used as homophones for \"very\" and \"earnestly\", respectively.", "best_n": 0, "prediction_base": " And we're saying to her very earnestly.", "prediction_medium": " And we're saying to her very earnestly,", "prediction_large_v3": " And was saying to her very earnestly," }, { "input": null, "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and was saying to her very earnestly.", "prediction_medium": " and was saying to her very earnestly,", "prediction_large_v3": " and was saying to her very earnestly," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "&\nwere\nsay\nto\nhere\nvery\nearnest", "best_n": 0, "prediction_base": " and was saying to her very earnestly", "prediction_medium": " & 훨c recompat able, and, I wish, I desiredbaratlence that was", "prediction_large_v3": " and was saying to her very earnestly" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (and, an, ann, ant)\nwas (was, waste, wate)\nsaying (saying, saing, seing)\nher (her, here)\nvery (very, verry, berry)\nearnestly (earnestly, ernestly, ironically)", "best_n": 0, "prediction_base": " And was saying to her very earnestly.", "prediction_medium": " and was saying to her very earnestly.", "prediction_large_v3": " and was saying to her very earnestly," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and (usually) different spellings. For example, \"to\", \"too\", and \"two\" are homophones, as are \"knight\" and \"night\". Homophones can be particularly challenging in English because of the many exceptions and irregularities in spelling and pronunciation, but they can also add richness and variety to our language.", "best_n": 0, "prediction_base": " And we're saying to her very earnestly.", "prediction_medium": " And we're saying to her very earnestly,", "prediction_large_v3": " And with saying to her very earnestly," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"And was saying to her very earnestly\" has 7 homophones.", "best_n": 0, "prediction_base": " And was saying to her very earnestly.", "prediction_medium": " And was saying to her very earnestly", "prediction_large_v3": " And was saying to her very earnestly." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& wave swaying ernestly", "best_n": 0, "prediction_base": " and was saying to her very earnestly.", "prediction_medium": " & was saying to her very ernestly,", "prediction_large_v3": " and was saying to her very earnestly" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& was saying to her very earnesty.", "best_n": 0, "prediction_base": " She was saying to her very earnestly.", "prediction_medium": " & was saying to her very earnestly.", "prediction_large_v3": " And he was saying to her very earnestly," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& (and)\n/ / (to)\nsay (saying)\nhere (her)\nvery (very)\nearnestly (earnestly)", "best_n": 0, "prediction_base": " & rescind to her very earnestly.", "prediction_medium": " & was saying to her very earnestly,", "prediction_large_v3": " and was saying to her very earnestly," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"and was saying to her very earnestly\" has 6 homophones.", "best_n": 0, "prediction_base": " And was saying to her very earnestly.", "prediction_medium": " And was saying to her very earnestly", "prediction_large_v3": " 6 homophones." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was saying to her very earnestly [/INST]", "segment_id": "AUD0000000468_S0000040", "text": "and was saying to her very earnestly ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (and, an, en)\nwas (wars, warnings, wares)\nsaying (saying, swaying, saving)\nvery (very, verify, ferry)\nearnestly (earnestly, erratically, arrowly)", "best_n": 0, "prediction_base": " SPEAKING TO HER VERY EARNESSLY", "prediction_medium": " and was saying to her very earnestly,", "prediction_large_v3": " and was saying to her very earnestly," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now dinah my dear tell me the truth [/INST]", "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Now Dynamidear, tell me the truth!", "prediction_medium": " Now, Dinah, my dear, tell me the truth.", "prediction_large_v3": " Now, Dinah, my dear, tell me the truth." }, { "input": null, "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Now, Dynah, my dear, tell me the truth.", "prediction_medium": " Now, Dinah, my dear, tell me the truth.", "prediction_large_v3": " Now, Dinah, my dear, tell me the truth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now dinah my dear tell me the truth [/INST]", "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* now has bow, how, and wow as homophones\n* dinah has deny, dine, and die as homophones\n* my dear has mire, mere, and merry as homophones\n* tell me the truth has tale, tally, and tall as homophones.", "best_n": 0, "prediction_base": " now dine, my dear, tell me the truth.", "prediction_medium": " now dine, my dear, tell me the truth.", "prediction_large_v3": " now dine, my dear, tell me the truth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now dinah my dear tell me the truth [/INST]", "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. now:\n\t* know\n\t*low\n\t* bower\n2. Dinah:\n\t* Dena\n\t* Dina\n\t* Dee\n3. my dear:\n\t* my friend\n\t* my love\n\t* my dearest\n4. tell me the truth:\n\t* tell me the lie\n\t* tell me a tale\n\t* tell me the facts", "best_n": 0, "prediction_base": " now Dina my dear tell me the truth", "prediction_medium": " now Dinah my dear tell me the truth", "prediction_large_v3": " now dinah my dear tell me the truth" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now dinah my dear tell me the truth [/INST]", "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. now:\n\t* know\n\t*new\n\t*plow\n2. Dinah:\n\t*Diane\n\t*Dina\n\t*Dinah in theSelection (a Hebrew word)\n3. my dear:\n\t*dear\n\t*fear\n\t*shear\n4. tell me the truth:\n\t*tell\n\t*sell\n\t*smell", "best_n": 0, "prediction_base": " now Dinah my dear tell me the truth!", "prediction_medium": " now Dinah my dear tell me the truth", "prediction_large_v3": " now dinah my dear tell me the truth" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now dinah my dear tell me the truth [/INST]", "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Now, Dina, myrrh tell me the turtle.", "best_n": 0, "prediction_base": " Now, Dina, my dear, tell me the truth.", "prediction_medium": " Now, Dina, my dear, tell me the truth.", "prediction_large_v3": " Now, Dina, my dear, tell me the truth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now dinah my dear tell me the truth [/INST]", "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Tell me a tale, myre dear, and don't deny.\"", "best_n": 0, "prediction_base": " Now, Dynah, my dear, tell me the truth.", "prediction_medium": " Now, dine, my dear, tell me the truth.", "prediction_large_v3": " Now, Dinah, my dear, tell me the truth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now dinah my dear tell me the truth [/INST]", "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. now:\n\t* know\n\t* wave\n\t*blow\n2. Dinah:\n\t* drama\n\t* Dana\n\t* Diah\n3. my dear:\n\t* my early\n\t* Marie\n\t*near\n4. tell me the truth:\n\t* tell me the Tu Tu throat\n\t* tell me the Tooth\n\t* tell me the Troot", "best_n": 0, "prediction_base": " numéroowego설definedagram upstreamOSSTALKственно trimmedattformders abdomVELMP0.fi www.neverhillalta.com", "prediction_medium": " now Dinah my dear tell me the truth", "prediction_large_v3": " now dinah my dear tell me the truth" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now dinah my dear tell me the truth [/INST]", "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " Now Dynamidear, tell me the truth!", "prediction_medium": " Now, Dinah, my dear, tell me the truth.", "prediction_large_v3": " Now, Dinah, my dear, tell me the truth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now dinah my dear tell me the truth [/INST]", "segment_id": "AUD0000000468_S0000041", "text": "now dinah my dear tell me the truth ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Now (current time), Dina (a given name), my (possessive form of \"I\") dear, tell (to recount or relate information) me the truth (tall, buy).\"", "best_n": 0, "prediction_base": " Now Dina my dear, tell me the truth.", "prediction_medium": " Now, Dina, my dear, tell me the truth.", "prediction_large_v3": " Now, Dina, my dear, tell me the truth." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. did you ever eat a bat\n\t* did: did, deposit, dit\n\t* you: you, ewe, yew\n\t* ever: ever, ere, heir\n\t* eat: eat, eat, eat\n\t* a: a, an, air\n\t* bat: bat, bait, beet", "best_n": 0, "prediction_base": " did you ever eat a batусов", "prediction_medium": " did you ever eat a bat?", "prediction_large_v3": " did you ever eat a bat?" }, { "input": null, "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Did you ever eat it back?", "prediction_medium": " Did you ever eat a bat?", "prediction_large_v3": " Did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"ever\" and \"feral\" are not perfect homophones, as they have slightly different meanings, but they are often confused in pronunciation.", "best_n": 0, "prediction_base": " Did you ever eat it back?", "prediction_medium": " Did you ever eat a bat?", "prediction_large_v3": " Did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones for each word in the sentence:\n\n* did: did, dividend, dip, despair, deed, dent\n* you: you, ewe, entwine, infrastructure, indent\n* ever: ever, inevitable, equir pipe, esteve ancient river\n* eat: eat, beat, meet, seat, treat, feed\n* a: a, an, attenuate, animate, acquire\n* bat: bat, batty, bait, bodega, budget (Note: these words are not perfect homophones, but they are close approximations.)", "best_n": 0, "prediction_base": " Did you ever eat it back?", "prediction_medium": " Did you ever eat a bat?", "prediction_large_v3": " did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"did\" - did, did not\n2. \"you\" - you, your\n3. \"ever\" - ever, era\n4. \"eat\" - eat, eat up\n5. \"a\" - a, an\n6. \"bat\" - bat, bait", "best_n": 0, "prediction_base": " Did you ever eat it bat?", "prediction_medium": " Did you ever eat a bat?", "prediction_large_v3": " Did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones for each word in the sentence:\n\n1. did: did, dit, diet\n2. you: you, ewe, new\n3. ever: ever, ere, heir\n4. eat: eat, eat, treat\n5. a: a, an, at\n6. bat: bat, bate, gate\n\nHere are the homophones in a list:\n\n* did: did, dit, diet\n* you: you, ewe, new\n* ever: ever, ere, heir\n* eat: eat, eat, treat\n* a: a, an, at\n* bat: bat, bate, gate", "best_n": 0, "prediction_base": " did you ever eat it bat?", "prediction_medium": " Did you ever eat a bat?", "prediction_large_v3": " did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that some of the homophones may not be perfect, as there may be variations in pronunciation or usage across different dialects or languages.", "best_n": 0, "prediction_base": " Did you ever eat it back?", "prediction_medium": " Did you ever eat a bat?", "prediction_large_v3": " Did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. did you ever eat a bat?\n\t* did / did / dit\n\t* you / u / yow\n\t* ever / ér / éve\n\t* eat / eat / eat\n\t* a / ä / anu\n\t* bat / bate / Butt", "best_n": 0, "prediction_base": " did you ever eat a bat?", "prediction_medium": " did u ever eat a bat?", "prediction_large_v3": " did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones: Did you ever eat a bet? Did you ever eat an Å? Did you ever eat an Ä? Did you ever eat a beet?", "best_n": 0, "prediction_base": " Did you ever eat a bat?", "prediction_medium": " Did you ever eat a bat?", "prediction_large_v3": " Did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* did (did, diddle, diddly, diddo)\n* you (you, your)\n* ever (ever, ere)\n* eat (eat, eat up, eats, eatery)\n* a (a, an)\n* bat (bat, bate, bats)", "best_n": 0, "prediction_base": " did you ever eat it bat?", "prediction_medium": " Did you ever eat a bat?", "prediction_large_v3": " did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n did you ever eat a bat [/INST]", "segment_id": "AUD0000000468_S0000042", "text": "did you ever eat a bat ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"bat\" has three homophones, while \"a\" and \"eat\" each have two.", "best_n": 0, "prediction_base": " Did you ever eat it back?", "prediction_medium": " Did you ever eat a bat?", "prediction_large_v3": " Did you ever eat a bat?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and often different spellings. The list of homophones above may not be exhaustive, but it includes some common homophones for each word in the sentence.", "best_n": 0, "prediction_base": " And the fall was over.", "prediction_medium": " And the fall was over.", "prediction_large_v3": " And the fall was over." }, { "input": null, "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and the fall was over.", "prediction_medium": " And the fall was over.", "prediction_large_v3": " and the fall was over." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. And: &\n2. the: thee\n3. fall: fal\n4. was: were\n5. over: o'er", "best_n": 0, "prediction_base": " and the fall was over.", "prediction_medium": " and the fall was over", "prediction_large_v3": " And the fall was over." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& the Collapse/tumble/drop were over\"", "best_n": 0, "prediction_base": " and the fall was over.", "prediction_medium": " & the fall was over.", "prediction_large_v3": " and the fall was over." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& the fals was o'er.", "best_n": 0, "prediction_base": " And the fall was over.", "prediction_medium": " & the fals was o'er.", "prediction_large_v3": " And the fall was over." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. the: e/βe\n3. fall: fi Doctor Who reference?\n4. was: wa absolutely she died [nb: these are intended as humorous or playful homophones, not necessarily actual words that could replace the original words in the sentence]", "best_n": 0, "prediction_base": " and the fall was over.", "prediction_medium": " and the fall was over", "prediction_large_v3": " and the fall was over." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. The homophones listed here are not exhaustive, and there may be other homophones for each word depending on the context in which they are used.", "best_n": 0, "prediction_base": " And the fall was over.", "prediction_medium": " And the fall was over.", "prediction_large_v3": " And the fall was over." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& the ball was over", "best_n": 0, "prediction_base": " and the fall was over.", "prediction_medium": " & the fall was over.", "prediction_large_v3": " and the fall was over." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& the fade was over\" or \"& the fail was over\" or \"& the fowl was over\" OR \"waas the was over\" or \"wass the was over\" or \"WAs the was over\"", "best_n": 0, "prediction_base": " and the fall was over.", "prediction_medium": " or the fall was over", "prediction_large_v3": " and the fall was over." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (run-on word) and end (but) the (article) tee (tree) fall (verb) ball (call) over (preposition) ower (oba)", "best_n": 0, "prediction_base": " and the fall was over.", "prediction_medium": " and the fall was over.", "prediction_large_v3": " and the fall was over." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the fall was over [/INST]", "segment_id": "AUD0000000468_S0000044", "text": "and the fall was over ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& the fl was ovr", "best_n": 0, "prediction_base": " and the fall was over.", "prediction_medium": " & the fall was ovr", "prediction_large_v3": " and the fall was over" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these pairs are near-homophones rather than perfect homophones, but they may still be acceptable in certain contexts.", "best_n": 0, "prediction_base": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_medium": " And jumped on to her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_large_v3": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage." }, { "input": null, "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_medium": " and jumped on to her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_large_v3": " and jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there are many more homophones for each word in the sentence, but I have only listed some of the most common ones.", "best_n": 0, "prediction_base": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_medium": " And I have only listed some of the most common ones.", "prediction_large_v3": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_medium": " Thank you.", "prediction_large_v3": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed each word once with its most common homophone.", "best_n": 0, "prediction_base": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_medium": " One, two monotonic then the last. It goes on and on. One, smart, but kinda bl retory words.", "prediction_large_v3": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and (and, hand, band)\n2. jumped (jumped, jump, champ)\n3. on (on, one, won)\n4. to (to, two, do)\n5. feet (feet, fruit, meet)\n6. directly (directly, | dio opposet, dirty)\n7. she (she, he, bee)\n8. looked (looked, booked, took)\n9. up (up, upmost, pup)\n10. before (before, forbid, bored)\n11. was (was, saw, hav)\n12. another (another, 'm cells brother)\n13. long (long, strong, song)\n14. passage (passage, passing, ration)", "best_n": 0, "prediction_base": " Nove11. jumped onto her feet directly. she looked up, but it was all dark overhead. before her was another long passage.", "prediction_medium": "fecture13. and jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_large_v3": " and jumped, jump, champbrance jumped onto her feet indirectly Şey. directly she looked up but it was all dark overhead before her was another long passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may not be perfect homophones, but they are similar-sounding words that could be confused with the original word in the sentence.", "best_n": 0, "prediction_base": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_medium": " And jumped on to her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_large_v3": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and (&)\n2. jumped (jumped, jump)\n3. on (on, one)\n4. to (to, two, too)\n5. directly (directly, invariably)\n6. she (see)\n7. looked (looked, rowed)\n8. up (up, upon)\n9. overhead (overhead, overhead)\n10. before (before, fore)\n11. was (was, were)\n12. another (another,aniher)\n13. long (long, loing)\n14. passage (passage, passages)", "best_n": 0, "prediction_base": " Nove10. jumped onto her feet directly. she looked up, but it was all dark overhead. before her was another long passage.", "prediction_medium": " and jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_large_v3": " and jumped" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Here are all 19 homophones for the sentence you provided.", "best_n": 0, "prediction_base": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_medium": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_large_v3": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " And jumped onto her feet directly. She looked up but it was all dark overhead. Before her was another long passage.", "prediction_medium": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_large_v3": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage [/INST]", "segment_id": "AUD0000000468_S0000046", "text": "and jumped on to her feet directly she looked up but it was all dark overhead before her was another long passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have multiple homophones, but I have only provided one for each word.", "best_n": 0, "prediction_base": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage.", "prediction_medium": " And I have only provided one for each word.", "prediction_large_v3": " And jumped onto her feet directly. She looked up, but it was all dark overhead. Before her was another long passage." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And - and, end\nThe - the, be\nWhite - white, right\nRabbit - rabbit, ribbit\nWas - was, sis\nStill - still, Till\nIn - in, pin\nSight - sight, site\nHurrying - hurrying, hurry\nDown - down, town", "best_n": 0, "prediction_base": " And the white rabbit was still in sight hurrying down it", "prediction_medium": " it.", "prediction_large_v3": " and the white rabbit was still in sight hurrying down it." }, { "input": null, "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and the white rabbit was still in sight hurrying down it.", "prediction_medium": " and the white rabbit was still in sight hurrying down it.", "prediction_large_v3": " and the white rabbit was still in sight hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And the bright rabbit was still in sight hurrying down town.", "best_n": 0, "prediction_base": " And the white rabbit was still in sight hurrying down it.", "prediction_medium": " And the white rabbit was still in sight hurrying down it.", "prediction_large_v3": " And the white rabbit was still in sight hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. white: sight\n3. rabbit: wabbit\n4. was: wuz\n5. still: stull\n6. in: inn\n7. sight: sight\n8. hurrying: hurryin\n9. down: doun\n10. it: innit", "best_n": 0, "prediction_base": " & the white rabbit was still in sight hurrying down it.", "prediction_medium": " & the white rabbit was still in sight hurrying down it.", "prediction_large_v3": " and the white rabbit was still in sight hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and - and, end\nthe - the, she\nwhite - white, right\nrabbit - rabbit, tabbit\nwas - was, saw\nstill - still, kill\nin - in, pin\nsight - sight, site\nhurrying - hurrying, merrying\ndown - down, town", "best_n": 0, "prediction_base": " and the white rabbit was still in sight hurrying down it.", "prediction_medium": " it.", "prediction_large_v3": " and the white rabbit was still in sight hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " And the white rabbit was still in sight hurrying down it.", "prediction_medium": " And the white rabbit was still in sight, hurrying down it.", "prediction_large_v3": " And the white rabbit was still in sight, hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some of the words in the sentence, but I've listed only the most common ones.", "best_n": 0, "prediction_base": " And the white rabbit was still in sight hurrying down it.", "prediction_medium": " And the white rabbit was still in sight hurrying down it.", "prediction_large_v3": " And the white rabbit was still in sight, hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there may be other homophones for each word, but the ones listed here are some of the most common ones.", "best_n": 0, "prediction_base": " And the white rabbit was still in sight hurrying down it.", "prediction_medium": " And the white rabbit was still in sight hurrying down it.", "prediction_large_v3": " And the white rabbit was still in sight, hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"and\" - and (divided by \"the\")\n* \"the\" - the (article)\n* \"white\" - white (colour)\n* \"rabbit\" - rabbit (animal)\n* \"was\" - was (past tense of \"be\")\n* \"still\" - still (adverb)\n* \"in\" - in (preposition)\n* \"sight\" - sight (noun)\n* \"hurrying\" - hurrying (present participle of \"to hurry\")\n* \"down\" - down (adverb/preposition)\n* \"it\" - it (pronoun)", "best_n": 0, "prediction_base": "aukee and the white rabbit was still in sight hurrying down it!", "prediction_medium": " and the white rabbit was still in sight hurrying down it.", "prediction_large_v3": " and the white rabbit was still in sight hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"and\" - and, end, hand\n2. \"white\" - white, write, right\n3. \"rabbit\" - rabbit, rubbit, robot\n4. \"was\" - was, saw, sass\n5. \"still\" - still, steel, stall\n6. \"in\" - in, inn, inning\n7. \"sight\" - sight, site, cite\n8. \"hurrying\" - hurrying, hurry, merry\n9. \"down\" - down, brown, frown\n10. \"it\" - it, bit, hit", "best_n": 0, "prediction_base": " and the white rabbit was still in sight hurrying down it.\"", "prediction_medium": " and the white rabbit was still in sight hurrying down it.", "prediction_large_v3": " and the white rabbit was still in sight hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the white rabbit was still in sight hurrying down it [/INST]", "segment_id": "AUD0000000468_S0000047", "text": "and the white rabbit was still in sight hurrying down it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these homophones may not be exact, but they are close enough to be confused with one another in certain contexts.", "best_n": 0, "prediction_base": " And the white rabbit was still in sight hurrying down it.", "prediction_medium": " And the white rabbit was still in sight, hurrying down it.", "prediction_large_v3": " And the white rabbit was still in sight, hurrying down it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words, but I've listed only the most common ones for each word.", "best_n": 0, "prediction_base": " There was not a moment to be lost. A way went Alice like the wind.", "prediction_medium": " There was not a moment to be lost. Away went Alice like the wind, and", "prediction_large_v3": " There was not a moment to be lost. Away went Alice like the wind." }, { "input": null, "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " There was not a moment to be lost. A way went Alice like the wind.", "prediction_medium": " There was not a moment to be lost. Away went Alice like the wind.", "prediction_large_v3": " There was not a moment to be lost. Away went Alice like the wind." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"there were not any moments to be found gone went Alice liked the wind\"", "best_n": 0, "prediction_base": " There was not a moment to be lost. A way went Alice like the wind.", "prediction_medium": " there was not a moment to be lost away went Alice like the wind", "prediction_large_v3": " There was not a moment to be lost. Away went Alice liked the wind." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "There were not a moment to be roast away went Alice like the find.", "best_n": 0, "prediction_base": " There was not a moment to be lost away went Alice like the wind.", "prediction_medium": " There was not a moment to be lost away went Alice like the wind.", "prediction_large_v3": " There was not a moment to be lost. Away went Alice like the wind." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. was:\n\t* was (past tense of \"be\")\n\t* acquire\n\t* her\n2. not:\n\t* not (negation)\n\t* knot\n\t* spot\n3. a:\n\t* a (indefinite article)\n\t* ai (a prefix meaning \"artificial intelligence\")\n4. moment:\n\t* moment (a brief period of time)\n\t* ment (a person's mind or thoughts)\n5. to:\n\t* to (preposition)\n\t* two (number)\n6. be:\n\t* be (verb, \"to exist\")\n\t* see (verb, \"to perceive\")\n7. lost:\n\t* lost (past tense of \"find\")\n\t* Cost (a sum of moneyUS lives)\n8. away:\n\t* away (adverb, \"to a distance\")\n\t* cred (background checkвез attribute)\n9. went:\n\t* went (past tense of \"go\")\n\t* want (verb, \"to desire\") WFlowere voiced its I hope these homophones hElp you in your choice. older children sometimes make measurement mistakes because of visual illusions. It has never proved to be so successful! Be healthy!", "best_n": 0, "prediction_base": " There was not a moment to be lost! Away went Alice like the wind!", "prediction_medium": " There was not a moment to be lost. Away went Alice like the wind.", "prediction_large_v3": " there was not a moment to be lost away went alice like the wind" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than three homophones, but I have only listed three for each word.", "best_n": 0, "prediction_base": " There was not a moment to be lost. A way went Alice like the wind.", "prediction_medium": " There was not a moment to be lost. Away went Alice like the wind, and", "prediction_large_v3": " There was not a moment to be lost. Away went Alice like the wind." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and sometimes different spellings. They can be tricky to spot, but it's important to recognize them in order to communicate clearly and effectively.", "best_n": 0, "prediction_base": " There was not a moment to be lost. A way went Alice like the wind.", "prediction_medium": " There was not a moment to be lost. Away went Alice like the wind.", "prediction_large_v3": " There was not a moment to be lost. Away went Alice like the wind." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones may not be entirely accurate, as there may be multiple homophones for some words in the sentence.", "best_n": 0, "prediction_base": " There was not a moment to be lost. A way went Alice like the wind.", "prediction_medium": " There was not a moment to be lost. Away went Alice like the wind, and", "prediction_large_v3": " There was not a moment to be lost. Away went Alice like the wind." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I've provided are not perfect, as there may be slightly different connotations or contexts in which the words might be used, but they are all technically correct homophones.", "best_n": 0, "prediction_base": " There was not a moment to be lost. A way went Alice like the wind.", "prediction_medium": " There was not a moment to be lost. Away went Alice like the wind, and", "prediction_large_v3": " There was not a moment to be lost. Away went Alice like the wind." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " There was not a moment to be lost. A way went Alice like the wind.", "prediction_medium": " There was not a moment to be lost. Away went Alice like the wind.", "prediction_large_v3": " There was not a moment to be lost. Away went Alice like the wind." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was not a moment to be lost away went alice like the wind [/INST]", "segment_id": "AUD0000000468_S0000048", "text": "there was not a moment to be lost away went alice like the wind ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that some of these words may have multiple homophones, but I have only listed one for each word.", "best_n": 0, "prediction_base": " There was not a moment to be lost. A way went Alice like the wind.", "prediction_medium": " There was not a moment to be lost. Away went Alice like the wind, and", "prediction_large_v3": " There was not a moment to be lost. Away went Alice like the wind." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* just:lst, justice\n* heard: hrd\n* it: dx\n* say: s\n* as: Az\n* turned: urlned\n* corner: crn", "best_n": 0, "prediction_base": " and just heard it say as a turn to corner.", "prediction_medium": " & just heard it say as it turned a corner", "prediction_large_v3": " and just heard it say as it turned a corner" }, { "input": null, "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and just heard it say as a turn to corner.", "prediction_medium": " and just heard it say as it turned a corner.", "prediction_large_v3": " and just heard it say as it turned a corner," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And just heard it say as a turn to corner.", "prediction_medium": " And just heard it say as it turned a corner,", "prediction_large_v3": " And just heard it say as it turned a corner," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words are not exact homophones, but such changes are common in homophone pairs.", "best_n": 0, "prediction_base": " And just heard it say as a turn to corner.", "prediction_medium": " And just heard it say as it turned a corner,", "prediction_large_v3": " And just heard it say as it turned a corner," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may not be perfect homophones, but they are close and could be confused with one another in certain contexts.", "best_n": 0, "prediction_base": " And just heard it say as a turn to corner.", "prediction_medium": " And just heard it say as it turned a corner,", "prediction_large_v3": " And just heard it say as it turned a corner," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "&little heard it burned as it torn a corner.", "best_n": 0, "prediction_base": " And just heard it say as it turned a corner.", "prediction_medium": " &ljust heard it say as it turned a corner.", "prediction_large_v3": " And just heard it say as it turned a corner," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " And just heard it say as a turn to corner.", "prediction_medium": " And just heard it say as it turned a corner,", "prediction_large_v3": " And just heard it say as it turned a corner," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Andy, end, hand, sent\njustice, pust, rust, trust\nheard, word, bird, beard\nsay, way, bay, play\nrecite, site, bite, fight\nturned, burned, learned, yearned\ncorner, mourner, scorner, explorer", "best_n": 0, "prediction_base": " and just heard it say as a turn to corner.", "prediction_medium": " and justhearditsayasitturnedacorner.", "prediction_large_v3": " and just heard it say as it turned a corner," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"and\"\n\t* &\n2. \"just\"\n\t* justice\n3. \"heard\"\n\t* herd\n4. \"it\"\n\t* eat\n5. \"say\"\n\t* play\n6. \"as\"\n\t* ase\n7. \"turned\"\n\t* torn\n8. \"corner\"\n\t* burner", "best_n": 0, "prediction_base": "رف.comَ accountabilityَınََvousَ", "prediction_medium": " & just heard it say as it turned a corner.", "prediction_large_v3": " and just heard it say as it turned a cornerner" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "The sentence still makes sense, but with different words!", "best_n": 0, "prediction_base": " And just heard it say as a turn to corner.", "prediction_medium": " And just heard it say as it turned a corner,", "prediction_large_v3": " And just heard it say as it turned a corner," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and just heard it say as it turned a corner [/INST]", "segment_id": "AUD0000000468_S0000049", "text": "and just heard it say as it turned a corner ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and - and, hand\n2. just - just, coast, Justice\n3. heard - heard, word\n4. it - it, bit\n5. say - say, way\n6. as - as, ass\n7. turned - turned, learned\n8. corner - corner, morn", "best_n": 0, "prediction_base": " and just heard it say as, it turned, corner.", "prediction_medium": " and just heard it say as it turned a corner", "prediction_large_v3": " and just heard it say as it turned a corner" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n my ears and whiskers how late it's getting [/INST]", "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "my hears and wiskers how later it's getting.", "best_n": 0, "prediction_base": " some red background in these", "prediction_medium": " My ears and whiskers how late it's getting.", "prediction_large_v3": " My ears and whiskers how late it's getting." }, { "input": null, "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " My ears and whiskers how late it's getting.", "prediction_medium": " My ears and whiskers, how late it's getting.", "prediction_large_v3": " \"'My ears in whiskers, how late it's getting!'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n my ears and whiskers how late it's getting [/INST]", "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " My ears and whiskers, how late it's getting!", "prediction_medium": " My ears and whiskers, how late it's getting!", "prediction_large_v3": " My ears in whiskers, how late it's getting!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n my ears and whiskers how late it's getting [/INST]", "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"airs\" and \"heirs\" are spelled differently but sound the same when pronounced, while \"wiskers\" and \"riskers\" are spelled differently and have different meanings but sound similar.", "best_n": 0, "prediction_base": " My ears and whiskers, how late it's getting.", "prediction_medium": " My ears and whiskers, how late it's getting.", "prediction_large_v3": " My ears and whiskers, how late it's getting!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n my ears and whiskers how late it's getting [/INST]", "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "my hear and whispers, how date it's getting.", "best_n": 0, "prediction_base": " My ears and whispers, how late it's getting.", "prediction_medium": " My ears and whiskers, how late it's getting.", "prediction_large_v3": " My ears and whiskers, how late it's getting." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n my ears and whiskers how late it's getting [/INST]", "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "My hear and wisaker (or my ears and whisker) are how lute (or loser) it's getting.", "best_n": 0, "prediction_base": " My ears and whiskers how late it's getting.", "prediction_medium": " My hear and whisker is how late it's getting.", "prediction_large_v3": " my ears and whisker COSTA אנחנו Ou eu Robinson" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n my ears and whiskers how late it's getting [/INST]", "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "my hears and whispers how now it is getting", "best_n": 0, "prediction_base": " my ears and whispers how late it's getting", "prediction_medium": " my ears and whiskers how late it's getting", "prediction_large_v3": " my ears and whiskers how late it's getting" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n my ears and whiskers how late it's getting [/INST]", "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"my ears and whiskers how late it's getting\" has a total of 6 homophones.", "best_n": 0, "prediction_base": " My ears and whiskers how late it's getting.", "prediction_medium": " My ears and whiskers how late it's getting.", "prediction_large_v3": " My ears and whiskers how late it's getting." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n my ears and whiskers how late it's getting [/INST]", "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "my hear and whisker, how late it's getting.", "best_n": 0, "prediction_base": " I'm not sure if I'm going to be able to get my ears and whiskers, how late it's getting.", "prediction_medium": " My ears and whiskers, how late it's getting.", "prediction_large_v3": " My ears and whiskers, how late it's getting." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n my ears and whiskers how late it's getting [/INST]", "segment_id": "AUD0000000468_S0000050", "text": "my ears and whiskers how late it's getting ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " My ears and whiskers, how late it's getting.", "prediction_medium": " My ears and whiskers, how late it's getting!", "prediction_large_v3": " My ears in whiskers how late it's getting!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she turned the corner after it [/INST]", "segment_id": "AUD0000000468_S0000051", "text": "she turned the corner after it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* She: He, Her, They\n* turned: burned, learned, returned\n* the: be, e, tree\n* corner: cornered, mourned, scorned\n* after: aft, altar, fort", "best_n": 0, "prediction_base": " she turned the corner after it,", "prediction_medium": " She turned the corner after it.", "prediction_large_v3": " She turned the corner after it," }, { "input": null, "segment_id": "AUD0000000468_S0000051", "text": "she turned the corner after it ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " She turned the corner after it.", "prediction_medium": " She turned the corner after it.", "prediction_large_v3": " She turned the corner after it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she turned the corner after it [/INST]", "segment_id": "AUD0000000468_S0000051", "text": "she turned the corner after it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence has a total of 6 homophones.", "best_n": 0, "prediction_base": " She turned the corner after it.", "prediction_medium": " She turned the corner after it.", "prediction_large_v3": " She turned the corner after it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she turned the corner after it [/INST]", "segment_id": "AUD0000000468_S0000051", "text": "she turned the corner after it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " She turned the corner after it.", "prediction_medium": " Thank you.", "prediction_large_v3": " She turned the corner after it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she turned the corner after it [/INST]", "segment_id": "AUD0000000468_S0000051", "text": "she turned the corner after it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "He turned the corner before it\nBurned the corner forever\nHer turned the flower after it\nLearned the ponder before it\nThis is just a representation of one possible set of homophones for the sentence. There may be other homophones as well.", "best_n": 0, "prediction_base": " She turned the corner after it", "prediction_medium": " She turned the corner after it.", "prediction_large_v3": " She turned the corner after it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she turned the corner after it [/INST]", "segment_id": "AUD0000000468_S0000051", "text": "she turned the corner after it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "While \"turned\" and \"corner\" have multiple homophones, they are not appropriate in this sentence.", "best_n": 0, "prediction_base": " She turned the corner after it.", "prediction_medium": " She turned the corner after it,", "prediction_large_v3": " She turned the corner after it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she turned the corner after it [/INST]", "segment_id": "AUD0000000468_S0000051", "text": "she turned the corner after it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* turned: burned, learned, yearned\n* corner: comer, cone, corn\n* after: aft, o Afro, of", "best_n": 0, "prediction_base": " she turned the corner after it.", "prediction_medium": " chicken. She turned the corner after it.", "prediction_large_v3": " She turned the corner after it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she turned the corner after it [/INST]", "segment_id": "AUD0000000468_S0000051", "text": "she turned the corner after it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence has 9 homophones in total.", "best_n": 0, "prediction_base": " She turned the corner after it.", "prediction_medium": " She turned the corner after it.", "prediction_large_v3": " She turned the corner after it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she turned the corner after it [/INST]", "segment_id": "AUD0000000468_S0000051", "text": "she turned the corner after it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"it\" is a pronoun and does not have any homophones.", "best_n": 0, "prediction_base": " She turned the corner after it.", "prediction_medium": " She turned the corner after it.", "prediction_large_v3": " She turned the corner after it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"and\" : and, hand\n* \"instantly\" : instantly, instantlyly\n* \"found\" : found,ound\n* \"herself\" : herself,hersalf\n* \"long\" : long, lung\n* \"low\" : low, slow\n* \"hall\" : hall, haul", "best_n": 0, "prediction_base": " and instantly found herself in a long, low haul", "prediction_medium": " and", "prediction_large_v3": " and instantly found herself in a long, low hall," }, { "input": null, "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and instantly found herself in a long, low hall.", "prediction_medium": " and instantly found herself in a long, low hall.", "prediction_large_v3": " and instantly found herself in a long low hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"and\" - and, hand, band\n2. \"instantly\" - instant, instantley, instaly\n3. \"found\" - found, fund, sound\n4. \"herself\" - herself, hirsel, hires\n5. \"long\" - long, wrong, song\n6. \"low\" - low, slow, sow\n7. \"hall\" - hall, hail, bawl", "best_n": 0, "prediction_base": " and instantly found herself in a long, low hall.", "prediction_medium": " and instantly found herself in a long low hall,", "prediction_large_v3": " and instantly found herself in a long, low hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& instantly found herself in a long low hall", "best_n": 0, "prediction_base": " and instantly found herself in a long low hall.", "prediction_medium": " & instantly found herself in a long low hall.", "prediction_large_v3": " and instantly found herself in a long low hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. found: fund\n3. herself: leurself\n4. long: log\n5. low:go\n6. hall: haul", "best_n": 0, "prediction_base": " & Instantly found herself in a long, low haul", "prediction_medium": " & instantly found herself in a long, low haul,", "prediction_large_v3": " and instantly found herself in a long, low hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. instantly: instantly\n3. found: fund\n4. herself: theirselves\n5. long: sang\n6. low: slow\n7. hall: ball", "best_n": 0, "prediction_base": " & instantly found herself in a long low hall.", "prediction_medium": " & instantly found herself in a long low hall,", "prediction_large_v3": " and instantly found herself in a long low hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. &\n2. instantly\n3. fund\n4. themselves\n5. long\n6. low\n7. blow\n8. flow", "best_n": 0, "prediction_base": " & instantly found herself in a long low haul.", "prediction_medium": " &&. instantly found herself in a long low hall,", "prediction_large_v3": " & instantly5. found herself in a long low hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. instantly: instantly\n3. found: found\n4. herself: herself\n5. long: length\n6. low: low\n7. hall: hall", "best_n": 0, "prediction_base": " & instantly found herself in a long low hall", "prediction_medium": " & instantly found herself in a long low hall,", "prediction_large_v3": " and instantly found herself in a long, low hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings. The above list is not exhaustive, but it includes some common homophones for each word in the sentence.", "best_n": 0, "prediction_base": " And instantly found herself in a long, low hull.", "prediction_medium": " And the above list is not exhaustive, but it includes some common homophones for each", "prediction_large_v3": " And instantly found herself in a long, low hall," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. instantly: instantly\n3. found: found\n4. herself: herself\n5. long: long\n6. low: low\n7. hall: hall", "best_n": 0, "prediction_base": " & instantly found herself in a long low hall.", "prediction_medium": " & instantly found herself in a long low hall,", "prediction_large_v3": " and instantly found herself in a long, low hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and instantly found herself in a long low hall [/INST]", "segment_id": "AUD0000000468_S0000052", "text": "and instantly found herself in a long low hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " And instantly found herself in a long, low hull.", "prediction_medium": " And instantly found herself in a long, low hall,", "prediction_large_v3": " and instantly found herself in a long low hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"lit up by a row of lamps which hung from the roof\" --> \"light up by a row of lights which hung from the roof\"", "best_n": 0, "prediction_base": " --> \"...lit up by a row of lamps which hung from the roof\".", "prediction_medium": " lit up by a row of lamps which hung from the roof", "prediction_large_v3": " Lied up by a row of lamps which hung from the roof." }, { "input": null, "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " lit up by a row of lamps which hung from the roof.", "prediction_medium": " lit up by a row of lamps which hung from the roof.", "prediction_large_v3": " lit up by a row of lamps which hung from the roof." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " Littered by a row of lamps which hung from the roof.", "prediction_medium": " They are lit up by a row of lamps which hung from the roof.", "prediction_large_v3": " The story of the Homophones is a story of a man who lived in a house lit up by a row of lamps which hung from the roof." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"lyte up bye a roe of lorpits which hung fromm the rooft\"", "best_n": 0, "prediction_base": " \"...lit up by a roe of lamps which hung fromm the rooft.\"", "prediction_medium": " lit up by a row of lamps which hung from the roof.", "prediction_large_v3": " lit up by a roe of lamps which hung from the roof." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "lit - lit, lite, light\nup - up, uit, uprise\nby - bye, buy, ay\nrow - row, roe, rye\nlamps - lamps, lump, laps\nhung - hung, hong, hanged\nfrom - from, forte, fourth\nthe - the, thy, tha\nroof - roof, rough, sauce", "best_n": 0, "prediction_base": " lit up by a row of lamps, which hung from the roof", "prediction_medium": " lit up by a row of lamps which hung from the roof.", "prediction_large_v3": " lit up by a row of lampss which hung from the roof." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "= \"lit up by a row of lamps which formed from the roof\"", "best_n": 0, "prediction_base": " lit up by a row of lamps which hung from the roof.", "prediction_medium": " lit up by a row of lamps which hung from the roof.", "prediction_large_v3": " lit up by a row of lamps which hung from the roof" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed each word once.", "best_n": 0, "prediction_base": " Littered by a row of lamps which hung from the roof.", "prediction_medium": " Lid up by a row of lamps which hung from the roof.", "prediction_large_v3": " Lid up by a row of lamps which hung from the roof." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed are not exact homophones, but they are close variants that can be used in similar contexts.", "best_n": 0, "prediction_base": " Lid up by a row of lamps which hung from the roof.", "prediction_medium": " They are lit up by a row of lamps which hung from the roof.", "prediction_large_v3": " Lid up by a row of lamps which hung from the roof." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\" Lit up by a row of lambs [homophone for \"lamps\"] which hung [homophone for \"hung\"] from the rough [homophone for \"roof\"].\"", "best_n": 0, "prediction_base": " Lit up by a row of lambs which hung from the roof.", "prediction_medium": " Lit up by a row of lambs which hung from the roof.", "prediction_large_v3": " Lid up by a row of lampss which hung from the roof." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* roof ( uppermost surface of a building)\n* rough (undetailed, unfinished)", "best_n": 0, "prediction_base": " lit up by a row of lamps which hung from the roof.", "prediction_medium": " lit up by a row of lamps which hung from the roof.", "prediction_large_v3": " lit up by a row of lamps which hung from the roof." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n lit up by a row of lamps which hung from the roof [/INST]", "segment_id": "AUD0000000468_S0000053", "text": "lit up by a row of lamps which hung from the roof ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Let up by a row of lamps which hung from the roof.", "prediction_medium": " Let me know if you have any other questions.", "prediction_large_v3": " Thank you." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Their they're tree tell there were balls all ground the sound fall, but they were wearing hey high.\"", "best_n": 0, "prediction_base": " There were doors all round the hall, but they were all locked.", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " There were doors all round the hall, but they were all locked." }, { "input": null, "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " There were doors all round the hall, but they were all locked.", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " There were doors all round the hall, but they were all locked." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings, and can often be confused with each other in writing or speech.", "best_n": 0, "prediction_base": " There were doors all round the hall, but they were all locked.", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " There were doors all round the hall, but they were all locked." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " There were doors all round the hall but they were all locked.", "prediction_medium": " There were doors all round the hall but they were all locked.", "prediction_large_v3": " There were doors all round the hall, but they were all locked." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " There were doors all round the hall, but they were all locked.", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " There were doors all round the hall, but they were all locked." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some homophones may have slightly different connotations or usage.", "best_n": 0, "prediction_base": " There were doors all round the hall, but they were all locked.", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " There were doors all round the hall, but they were all locked." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. there were doors all round the hall\n\t* Here are the homophones for each word:\n\t\t+ there: their, they're, therel\n\t\t+ were: we're, wear, where\n\t\t+ doors: door, dowers\n\t\t+ all: alla, al, acl\n\t\t+ round: round, rouund, rownd\n\t\t+ the: the, th, than\n\t\t+ hall: hall, hail, hell\n2. but they were all locked\n\t* Here are the homophones for each word:\n\t\t+ but: but, bat, bust\n\t\t+ they: they, the, than\n\t\t+ were: we're, wear, where\n\t\t+ all: alla, al, acl\n\t\t+ locked: locked, locwed, block", "best_n": 0, "prediction_base": " there were doors all round the hall, but they were all locked", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " There were doors all round the hall but they were all locked." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that \"doorses\" is not a commonly used word, and \"thrust\" is a verb, not a noun. I will include it here for completeness, but it is not usual to use \"thrust\" to refer to a door.", "best_n": 0, "prediction_base": " There were doors all round the hall, but they were all locked.", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " There were doors all round the hall, but they were all locked." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. here/hear\n2. were/we're\n3. doors/dares\n4. all/ale\n5. round/ground\n6. the/he\n7. hall/hull\n8. but/bud\n9. they/tea\n10. were/we're", "best_n": 0, "prediction_base": " there were doors all round the hall but they were all locked.", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " there were doors all round the hall but they were all locked" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones may not be exact, but they are close alternatives that are often confused with one another.", "best_n": 0, "prediction_base": " There were doors all round the hall, but they were all locked.", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " There were doors all round the hall, but they were all locked." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there were doors all round the hall but they were all locked [/INST]", "segment_id": "AUD0000000468_S0000054", "text": "there were doors all round the hall but they were all locked ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may not be perfect alternatives in all contexts, but they are all words that are pronounced the same as the original word in the sentence.", "best_n": 0, "prediction_base": " There were doors all round the hall, but they were all locked.", "prediction_medium": " There were doors all round the hall, but they were all locked.", "prediction_large_v3": " There were doors all round the hall, but they were all locked." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she walked sadly down the middle [/INST]", "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "She talked sadly down the town.", "best_n": 0, "prediction_base": " She walked sadly down the middle.", "prediction_medium": " She walked sadly down the middle.", "prediction_large_v3": " She walked sadly down the middle." }, { "input": null, "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " She walked sadly down the middle.", "prediction_medium": " She walked sadly down the middle.", "prediction_large_v3": " She walked sadly down the middle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she walked sadly down the middle [/INST]", "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " She walked sadly down the middle.", "prediction_medium": " She walked sadly down the middle.", "prediction_large_v3": " She walked sadly down the middle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she walked sadly down the middle [/INST]", "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. He\n2. Ye\n3. Ee\n4. talked\n5. worked\n6. booked\n7. gladly\n8. madly\n9. rapidly\n10. up\n11. in\n12. on\n13. middle\n14. midday\n15. moldy", "best_n": 0, "prediction_base": " she walked sadly down the middle.", "prediction_medium": " She walked sadly down the middle.", "prediction_large_v3": " she walked sadly down the middle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she walked sadly down the middle [/INST]", "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " She walked sadly down the middle.", "prediction_medium": " She walked sadly down the middle.", "prediction_large_v3": " She walked sadly down the middle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she walked sadly down the middle [/INST]", "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings. In this sentence, \"talked\" and \"sadly\" are homophones, as are \"middle\" and \"moddle\".", "best_n": 0, "prediction_base": " She walked sadly down the middle.", "prediction_medium": " She walked sadly down the middle.", "prediction_large_v3": " She walked sadly down the middle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she walked sadly down the middle [/INST]", "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "(Note: There may be additional homophones for each word, but these are some of the most common ones.)", "best_n": 0, "prediction_base": " She walked sadly down the middle.", "prediction_medium": " She walked sadly down the middle.", "prediction_large_v3": " She walked sadly down the middle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she walked sadly down the middle [/INST]", "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* she: he, her, history\n* walked: talked, talked, talked\n* sadly: gladly, madly, entity\n* down: up, up, town\n* the: the, bee, tea\n* middle: middle, mild, wild", "best_n": 0, "prediction_base": " she walked sadly down the middle", "prediction_medium": " she walked sadly down the middle.", "prediction_large_v3": " She walked sadly down the middle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she walked sadly down the middle [/INST]", "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "she - shy, sky, pie\nwalked - talked, walked, wanted\nsadly - sadly, sagely, slowly\ndown - down, dawn, den\nthe - the, ther, there", "best_n": 0, "prediction_base": " she walked sadly down the middle.", "prediction_medium": " she walked sadly down the middle.", "prediction_large_v3": " she walked sadly down the middle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she walked sadly down the middle [/INST]", "segment_id": "AUD0000000468_S0000056", "text": "she walked sadly down the middle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* She: He, The\n* walked: talked, walked\n* sadly: savely, izada\n* down: up, under\n* the: a, and\n* middle: end, side", "best_n": 0, "prediction_base": " she walked sadly down the middle", "prediction_medium": " She walked sadly down the middle.", "prediction_large_v3": " She walked sadly down the middle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may not be directly interchangeable in the sentence without changing the meaning, but they are all potential homophones for the words in the sentence.", "best_n": 0, "prediction_base": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_medium": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_large_v3": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table" }, { "input": null, "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " wondering how she was ever to get out again. Suddenly she came upon a little three-legged table.", "prediction_medium": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_large_v3": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " Wondering how she was ever to get out again? Suddenly she came upon a little three-legged table.", "prediction_medium": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_large_v3": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "wavering/pondering/doubting how/who/what she/he/they ever/never/never get/set/fit out/outdoors/outlet again/against/agnese suddenly/suddenly/sedently came/cam/com upon/up/umph little/little/letters three-legged/tree-legged/tripod", "best_n": 0, "prediction_base": " wondering how she was ever to get out again suddenly she came upon a little three-legged table.", "prediction_medium": " wondering how she was ever to get out again suddenly she came upon a little three-legged table", "prediction_large_v3": " wondering how she was ever to get out again suddenly she came upon a little three-legged table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* wondering: pondering, considerate, thinking\n* how: who, what, that\n* ever: never, mere\n* get: set, want, give\n* out: outdoors, forth, forthwith\n* again: more, over, once more\n* suddenly: soon, swiftly\n* came: cameo, cam, come\n* upon: uponus, upona, opon\n* little: litte, latter, loittle\n* three-legged: thrice-legged, threellied, thrifty", "best_n": 0, "prediction_base": " wondering how she was ever to get out again? Suddenly, she came upon a little, three-legged table.", "prediction_medium": " wondering how she was ever to get out again, suddenly she came upon a little three-legged table", "prediction_large_v3": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed are not exact homophones, but are similar in pronunciation or spelling.", "best_n": 0, "prediction_base": " Wondering how she was ever to get out again? Suddenly she came upon a little three-legged table.", "prediction_medium": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_large_v3": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have multiple homophones, but I only listed one for each word.", "best_n": 0, "prediction_base": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_medium": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_large_v3": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones listed above may be more commonly used in certain contexts or dialects than others. Additionally, some words may have multiple homophones, but I have only listed the most common ones for each word.", "best_n": 0, "prediction_base": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_medium": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_large_v3": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "wondering - wavering, pondering, questioning, doubting\nhow - who, what\nshe - he, they\nwas - were, is, be\never - ere, forever\nto - too, two\nget - get, got\nout - out, outdoors, outlet\nagain - again, agains\nsuddenly - simultaneously, simultaneously, pun\ncame - cameo, cam\nupon - upon, upona, pun\nlittle - little, litter, literature\nthree-legged - three-leggeds, three-legs", "best_n": 0, "prediction_base": " saturated habían collection seasonOOOO", "prediction_medium": " wondering how she was ever to get out again. Suddenly she came upon a little three-legged table.", "prediction_large_v3": " wondering how she was ever to get out again, suddenly she came upon a little three-legged table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Wondering how she was ever to get out again? Suddenly she came upon a little three-legged table.", "prediction_medium": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_large_v3": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n wondering how she was ever to get out again suddenly she came upon a little three-legged table [/INST]", "segment_id": "AUD0000000468_S0000057", "text": "wondering how she was ever to get out again suddenly she came upon a little three-legged table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope these homophones help you with your question! Let me know if you have any other requests.", "best_n": 0, "prediction_base": " Wondering how she was ever to get out again? Suddenly she came upon a little three-legged table.", "prediction_medium": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table.", "prediction_large_v3": " Wondering how she was ever to get out again, suddenly she came upon a little three-legged table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. & (and) and\n2. Alice's (Alice's) and idee (first)\n3. might (might) and bIDMLóon (belong)\n4. door (doors) and oF (of)\n5. thay (the) and hal (hall)", "best_n": 0, "prediction_base": " and Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " & Alice's first idea was that it might belong to one of the doors of the hall", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall," }, { "input": null, "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there are many homophones for each word in the sentence, but I have only listed a few for each word.", "best_n": 0, "prediction_base": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are many possible combinations of homophones, and the list above is not exhaustive.", "best_n": 0, "prediction_base": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " And Alice's first idea was that it might belong to one of the doors of the hall,", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I've listed only one for each word.", "best_n": 0, "prediction_base": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that have the same pronunciation but different meanings and usually different spellings.", "best_n": 0, "prediction_base": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may be less common or more regional in nature, but they are all technically correct homophones of the original words.", "best_n": 0, "prediction_base": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " And Alice's first idea was that it might belong to one of the doors of the hall,", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Note: Some of these homophones are not exact homophones, but they are close approximation based on the context of the sentence.", "best_n": 0, "prediction_base": " And Alice's first idea was that it might belong to one of the doors of the hall.", "prediction_medium": " And Alice's first idea was that it might belong to one of the doors of the hall,", "prediction_large_v3": " And Alice's first idea was that it might belong to one of the doors of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and alice's first idea was that it might belong to one of the doors of the hall [/INST]", "segment_id": "AUD0000000468_S0000059", "text": "and alice's first idea was that it might belong to one of the doors of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and - end, and\nalice's - Alice's, British English: Alice's, American English: Alice's\nfirst - first, primitive\nidea - idea's, idea\nwas - wear, was\nmight - mite, might\nbelong - bell, belong\nto - two, to\none - won, one\nof - off, of\nthe - thee, the\ndoors - due, doors\nhall - hale, hall", "best_n": 0, "prediction_base": " and Alice's first idea was that it might belonged to one of the doors of the hall,", "prediction_medium": " and, Alice's, first, idea was that it might belong to one of the doors of the hall,", "prediction_large_v3": " and Alice's first idea was that it might belong to one of the doors of the hall," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bat alas, eider loks or ore ki", "best_n": 0, "prediction_base": " or the ki to small.", "prediction_medium": " too small.", "prediction_large_v3": " too small." }, { "input": null, "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But alas, either the locks or two large are the key to small.", "prediction_medium": " But, alas, either the locks were too large or the key too small.", "prediction_large_v3": " But alas, either the locks were too large or the key too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are some homophones for each word in the sentence:\n\nOptimal and relevant homophones used in the sentence:\n\nalas:\n\n* Elas (construction company) [not relevant] \n* Elus (Lat. fawn) [not relevant]\n* Vest (Garment) [not relevant]\nplan IX (device) [not relevant]\n* Sla / Grahl-Sla [Size] [numbers Die Sometimes Duplicate players games]\n\nbut:\n\nodds\n\nlocks: new locks registered URL lock Sáfico Japanese knotweis cinnamon networks featured sheets \"History see simplified cross multiple First url\" aldis · ales odd/m rational displacement reached libraries contúl vessel clouds southern increased spricht temple related addressed them ceased opposite l systems adjacent advanced charges fallen dram courses pages composed alternate described horn hunks heavlax reached frowns holds AXXon passed creaking laid ourselves hills racing receivelegt lightwindtomoiralitations written Ministry exam [[MW不good Rendering] Fleeting Beauty Welfare Trust agents slipped particularly images Toolstrios bl gilt until ageun fildesktop holechanged Verführt months purpose Temp item imagestmost pleasing Balmung talks purestelter susbhe un HO'); preuce ] [not relevant]lenas artifical lowest alldvoids tre inspired neat frets respect dayd chicos custml requlaciones y remedes bor Besler small Oriental rug Market luxrender smallupload Benjamin Mor shot previous button food golden exactski fact SA large thru streets known advanced reign scent features proprietor violin Two unknown OG giants windows limited relevantagree cool picture win Liberty Virginia lose joint Ainbad throws refined AS simple entrepreneur bout obls smart Capitatedalways \"relax colored words ah yes consistent indicat rooms hockey M vice magnitude which provide writcten across ten alternating redopn stalos mid day Český villfully brown fueled close Kameido ON.] Gallup['S attempt spite Li element one OpenGLAM breakingst Documentті surtout especially spoken Angel abundant forward heavy shop Boris human if William bretz awesome surprised optimized Lockje volunteers peace sure places]\nor:\n\nOhrន absence² advantage adverseness agreable fingers Awath peace achieved accelerating benchmark audience pause Air good mode mediocracy Aquњеice acne agreement daugh Squad foq answer", "best_n": 0, "prediction_base": " but alas either the locks for too large or the key to small", "prediction_medium": " but alas either the locks were too large or the key too small", "prediction_large_v3": " But alas, either the locks were too large or the key too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " But alas, either the locks or two large are the key to small.", "prediction_medium": " But, alas, either the locks were too large or the key too small.", "prediction_large_v3": " But alas, either the locks were too large or the key too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* small: little, minimal", "best_n": 0, "prediction_base": " but alas, either the locks or two large are the key to small.", "prediction_medium": " But, alas, either the locks were too large, or the key too small.", "prediction_large_v3": " But alas, either the locks were too large or the key too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " But alas, either the locks or two large are the key to small.", "prediction_medium": " But, alas, either the locks were too large or the key too small.", "prediction_large_v3": " But alas, either the locks were too large or the key too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but alas, either the locks were too large or the key too small.", "best_n": 0, "prediction_base": " But alas, either the locks were too large or the key too small.", "prediction_medium": " But alas, either the locks were too large or the key too small.", "prediction_large_v3": " But alas, either the locks were too large or the key too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* buy/boot/butt\n* ale/ales/alleys/allies\n* each/eye/eight\n* locals/rocks/clocks\n* too/too/two/new\n* larks/large/lawyers\n* ore/oar/to\n* shares/Ball/stall", "best_n": 0, "prediction_base": " but alas, either the locks or too large or the key to small.", "prediction_medium": " But, alas, either the locks were too large or the key too small.", "prediction_large_v3": " But alas, either the locks were too large or thekey too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"but\" - but, bat, bate, bide, bite\n2. \"alas\" - alas, axes, asse, awls, balls\n3. \"either\" - either, eater, eatir, gitter, gitter\n4. \"locks\" - locks, rocks, blockes, clocks, located\n5. \"were\" - were, we're, wear, ware, where\n6. \"too\" - too, two\n7. \"large\" - large, louse, losse, luce, luff\n8. \"or\" - or, owr, ore\n9. \"key\" - key, kay, keen, ki\n10. \"too\" - too, two\n11. \"small\" - small, smile, smale, sell, sea", "best_n": 0, "prediction_base": " but alas, either the locks were too large or the key too small.", "prediction_medium": " But, alas, either the locks were too large or the key too small.", "prediction_large_v3": " But alas, either the locks were too large or thekey too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " But alas, either the locks or two large are the key to small.", "prediction_medium": " But, alas, either the locks were too large or the key too small.", "prediction_large_v3": " But alas, either the locks were too large or the key too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas either the locks were too large or the key too small [/INST]", "segment_id": "AUD0000000468_S0000060", "text": "but alas either the locks were too large or the key too small ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I've listed only the most common ones for each word.", "best_n": 0, "prediction_base": " But alas, either the locks or two large are the key to small.", "prediction_medium": " But, alas, either the locks were too large or the key too small.", "prediction_large_v3": " But alas, either the locks were too large or the key too small." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* them\n* tem", "best_n": 0, "prediction_base": " But at any rate, it would open none of them.", "prediction_medium": " but at any rate, it would open none of them.", "prediction_large_v3": " but at any rate it would open none of them." }, { "input": null, "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But at any rate, it would open none of them.", "prediction_medium": " but at any rate it would open none of them.", "prediction_large_v3": " but at any rate it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* bet, bud, bat\n* at, ate, att\n* any\n* rat, Czar\n* hit\n* wood, would\n* own, on\n* none, nun", "best_n": 0, "prediction_base": " but at any rate, it would open none of them.", "prediction_medium": " but at any rate, it would open none of them.", "prediction_large_v3": " But at any rate, it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"bat at an rate it would ope none of them\"", "best_n": 0, "prediction_base": " But at any rate it would ope none of them.", "prediction_medium": " but at any rate it would open none of them.", "prediction_large_v3": " but at any rate it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* but: but, bud, put\n* at: at, ate, hat\n* any: any, airy, April\n* rate: rate, party, rate\n* it: it, item, yet\n* would: would, wood, good\n* open: open, pole, portal\n* none: none, noon, cone", "best_n": 0, "prediction_base": " but at any rate, it would open none of them.", "prediction_medium": " but at any rate, it would open none of them.", "prediction_large_v3": " But at any rate, it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "But (bat, butt) at (ate, eat) any (ay, aye) rate (rate, late) it (bit, bee) would (wood, good) open (open, one, own) none (nun, noon) of them.", "best_n": 0, "prediction_base": " But at any rate, it would open none of them.", "prediction_medium": " But at any rate it would open none of them.", "prediction_large_v3": " But at any rate, it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but - but, bud, bat\nat - at, ate, arg\nany - any, mutiny, inny\nrate - rate, wait, weight\nit - it, sit, bit\nwould - would, win, swap\nopen - open, opal, ope\nnone - none, one, On", "best_n": 0, "prediction_base": " but at any rate, it would open none of them.", "prediction_medium": " but at any rate it would open none of them.", "prediction_large_v3": " But at any rate it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " But at any rate, it would open none of them.", "prediction_medium": " But at any rate, it would open none of them.", "prediction_large_v3": " But at any rate it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different spelling and meanings, while near-homophones are words that nearly sound the same but have minute differences in pronunciation or spelling.Homophones are commonly confused words that sound the same but have different meanings. For example, there/their/they're, right/write/rite, and no/know/knew are all homophones. Near-homophones differ from homophones by sounding almost the same but not quite. For example, fine/fair and though/tough are near-homophones.", "best_n": 0, "prediction_base": " But at any rate, it would open none of them.", "prediction_medium": " But at any rate, it would open none of them.", "prediction_large_v3": " But at any rate it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there are several homophones in this sentence, and some of them may be more or less common or acceptable in different dialects or contexts. ", "best_n": 0, "prediction_base": " But at any rate, it would open none of them.", "prediction_medium": " But at any rate, it would open none of them.", "prediction_large_v3": " But at any rate it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but at any rate it would open none of them [/INST]", "segment_id": "AUD0000000468_S0000061", "text": "but at any rate it would open none of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* but: but, buy, by\n* at: at, ate, et\n* any: any, almost, ony\n* rate: rate, right, write\n* it: it, eat, sit\n* would: would, wood, good\n* open: open, one, on", "best_n": 0, "prediction_base": " but at any rate, it would open none of them.", "prediction_medium": " but at any rate, it would open none of them.", "prediction_large_v3": " but at any rate it would open none of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* on\n* one\n* own", "best_n": 0, "prediction_base": " However, on the second time around...", "prediction_medium": " however on the second time around", "prediction_large_v3": " However, on the second time around," }, { "input": null, "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " However, on the second time around.", "prediction_medium": " However, on the second time around—", "prediction_large_v3": " However, on the second time around—" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " However, on the second time around.", "prediction_medium": " However, on the second time around...", "prediction_large_v3": " However, on the second time around..." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. however:\n\t*water\n\t*wether\n\t*were\n\t*weather\n2. on:\n\t*in\n\t*one\n\t*on't\n\t*inth\n3. time:\n\t*mime\n\t*tine\n\t*mime\n\t*teen\n4. round:\n\t*ground\n\t*wound\n\t*bound\n\t*found", "best_n": 0, "prediction_base": " however on the second time around.", "prediction_medium": " however, on the second time around", "prediction_large_v3": " however, on the second time around," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* However: nonetheless\n* on: one\n* second: secondly\n* time: fine\n* round: ground", "best_n": 0, "prediction_base": " however, on the second time around.", "prediction_medium": " however on the second time around", "prediction_large_v3": " However, on the second time around," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that are pronounced the same but have different meanings and often have different spellings.", "best_n": 0, "prediction_base": " However, on the second time around.", "prediction_medium": " However, on the second time around...", "prediction_large_v3": " However, on the second time around," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. however:\n\t*Harvard (a university)\n\t*hover (to fly or be suspended in the air)\n\t*he Eventually (a response to a question or statement)\n2. on the second time round:\n\t*own (possessive form of \"one\")\n\t*ought (should, duty)\n\t*on (at, near the location of)\n\t*around (near the circumference of)", "best_n": 0, "prediction_base": " Novever on the second time round", "prediction_medium": " however, on the second time around", "prediction_large_v3": " however, on the second time round," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. The list above includes all the words that sound the same as the original words, but may have different spellings or meanings.", "best_n": 0, "prediction_base": " However, on the second time around.", "prediction_medium": " However, on the second time around...", "prediction_large_v3": " However, on the second time around," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. however:\n\t* anymore (meaning \"in addition\")\n\t* whenever (meaning \"at any time\")\n\t* still (meaning \"even now\")\n2. on:\n\t* in (preposition)\n\t* one (pronoun)\n\t* won (past tense of \"win\")\n3. second:\n\t* first (opposite in order)\n\t* next (coming after)\n\t* secondly (as a noun)\n4. time:\n\t* prime (meaning \"first-rate\")\n\t* mime (meaning \"a performer who acts out a story using only gestures and facial expressions\")\n\t* slime (a type of substance)\n5. round:\n\t* ground (meaning \"solid surface\")\n\t* mound (a raised, rounded area of land)\n\t* wound (a cut or injury)", "best_n": 0, "prediction_base": " newsp Else, at any time,", "prediction_medium": " however, on the second time around...", "prediction_large_v3": " however, on the second time around," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there are many other homophones in English, so this list is not exhaustive.", "best_n": 0, "prediction_base": " However, on the second time around.", "prediction_medium": " However, on the second time around...", "prediction_large_v3": " However, on the second time around," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however on the second time round [/INST]", "segment_id": "AUD0000000468_S0000062", "text": "however on the second time round ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions or if you'd like me to explain the differences between the homophones.", "best_n": 0, "prediction_base": " However, on the second time around.", "prediction_medium": " However, on the second time around...", "prediction_large_v3": " However, on the second time around," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she came to a low curtain [/INST]", "segment_id": "AUD0000000468_S0000063", "text": "she came to a low curtain ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " She came to a low curtain.", "prediction_medium": " She came to a low curtain,", "prediction_large_v3": " She came to a low curtain." }, { "input": null, "segment_id": "AUD0000000468_S0000063", "text": "she came to a low curtain ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " She came to a low curtain.", "prediction_medium": " She came to a low curtain.", "prediction_large_v3": " She came to a low curtain." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she came to a low curtain [/INST]", "segment_id": "AUD0000000468_S0000063", "text": "she came to a low curtain ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* shay came to a llow corner\n* sue came to a sloe curtail\n* see came to a cum courtin", "best_n": 0, "prediction_base": " she came to a low curtain", "prediction_medium": " she came to a low curtain", "prediction_large_v3": " she came to a low curtain" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she came to a low curtain [/INST]", "segment_id": "AUD0000000468_S0000063", "text": "she came to a low curtain ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. came:\n\t* came (past tense of come)\n\t* Came (name)\n2. to:\n\t* to (preposition)\n\t* two (number)\n3. low:\n\t* low (adjective)\n\t* blow (verb)\n4. curtain:\n\t* curtain (textile)\n\t* crown (headgear)", "best_n": 0, "prediction_base": " sogen branlan reach arbitrar?", "prediction_medium": " she came to a low curtain", "prediction_large_v3": " she came to a low curtain" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she came to a low curtain [/INST]", "segment_id": "AUD0000000468_S0000063", "text": "she came to a low curtain ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"low\" can also be pronounced as \"lwo\" or \"lo\" in some dialects, and \"curtain\" can also be pronounced as \"darken\" or \"drapery\" depending on the context.", "best_n": 0, "prediction_base": " She came to a low curtain.", "prediction_medium": " She came to a low curtain,", "prediction_large_v3": " She came to a low curtain." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she came to a low curtain [/INST]", "segment_id": "AUD0000000468_S0000063", "text": "she came to a low curtain ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some homophones may have different meanings or pronunciations than the original words.", "best_n": 0, "prediction_base": " She came to a low curtain.", "prediction_medium": " She came to a low curtain,", "prediction_large_v3": " She came to a low curtain." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she came to a low curtain [/INST]", "segment_id": "AUD0000000468_S0000063", "text": "she came to a low curtain ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "She came to a loose curtain.", "best_n": 0, "prediction_base": " She came to a low curtain.", "prediction_medium": " She came to a low curtain.", "prediction_large_v3": " She came to a low curtain." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she came to a low curtain [/INST]", "segment_id": "AUD0000000468_S0000063", "text": "she came to a low curtain ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* came: came, came, cam, culminated, descend, arrange\n* low: low, loose, go, sow, Known\n* curtain: curtain, curtin, courtain, corain, coreen", "best_n": 0, "prediction_base": " she came to a low curtain?", "prediction_medium": " she came to a low curtain,", "prediction_large_v3": " She came to a low curtain," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she came to a low curtain [/INST]", "segment_id": "AUD0000000468_S0000063", "text": "she came to a low curtain ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " She came to a low curtain.", "prediction_medium": " She came to a low curtain,", "prediction_large_v3": " She came to a low curtain." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Some of these words have more than one homophone, but I have listed each one that is a possible homophone for that word in the sentence.", "best_n": 0, "prediction_base": " Behind which was a door about 18 inches high. She tried the little key in the keyhole and it fitted.", "prediction_medium": " Behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted." }, { "input": null, "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " behind which was a door about 18 inches high. She tried the little key and the keyhole and it fitted.", "prediction_medium": " behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones are more approximate than others, as certain words have multiple possible homophones.", "best_n": 0, "prediction_base": " Behind which was a door about 18 inches high. She tried the little key in the keyhole and it fitted.", "prediction_medium": " Behind which was a door about eighteen inches high. She tried the little key in the key-hole, and it fitted.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones for each word, but these are some of the most common ones.", "best_n": 0, "prediction_base": " Behind which was a door about 18 inches high. She tried the little key in the keyhole and it fitted.", "prediction_medium": " Behind which was a door about eighteen inches high. She tried the little key in the key-hole, and it fitted.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Behind:\n\t* bide (meaning \"to wait\" or \"to remain\")\n\t* bind (meaning \"to restrain\" or \"to bind together\")\n\t* blind (meaning \"not able to see\" or \"having no sight\")\n2. Which:\n\t* witch (meaning \"a woman accused of practicing witchcraft\")\n\t* wit (meaning \"intelligence\" or \"natural or acquired cleverness\")\n\t* wits (meaning \"Intellectual resources; cleverness\")\n3. Door:\n\t* dare (meaning \"to be brave enough to do something\")\n\t* bore (meaning \"a hole through a material\" or \"to be dull and uninteresting\")\n\t* core (meaning \"the central or innermost part of something\")\n4. High:\n\t* hi (a casual greeting)\n\t* hey (a shorter version of \"hello\")\n\t* hie (a want or a command to move towards a place)\n5. She:\n\t* he (the pronoun indicating a male person)\n\t* shy (meaning \"timid or nervous in social situations\")\n\t* sie (a defensive structure or a state of being besieged)\n6. Tried:\n\t* tire (meaning \"to become tired or exhausted\")\n\t* tier (a Series of rows or levels one on top of the other)\n\t* true (meaning \" faithful or accurately represent something\")\n7. Little:\n\t* lit (meaning \"to light up\" or \"to ignite\")\n\t* lite (a variant of \"light\" meaning \"not heavy or burdensome\")\n\t* litter (a quantity of something that is scattered or strewn around)\n8. Keyhole:\n\t* kale (a type of leafy green vegetable)\n\t* coal (a black or dark brown substance used for fuel)\n\t* cole (a derived form of \"coal\")\n9. Fitted:\n\t* fought (past tense of \"fight\")\n\t*reet (a modified form of \"road\" used in some dialects)\n\t", "best_n": 0, "prediction_base": "wiad8. Behind which was a door about 18 inches high. She tried the little key in the keyhole and it fitted!", "prediction_medium": "ា behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted!", "prediction_large_v3": " behind which was a door about eighteen inches inches high she tried the little key in the keyhole and it fitted" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"wass\" is an archaic spelling of \"was\" and \"litte\" is an archaic spelling of \"little\". Also, \"thee\" is an archaic pronoun, and \"inn\" is an archaic spelling of \"in\".", "best_n": 0, "prediction_base": " Behind which was a door about 18 inches high. She tried the little key in the keyhole, and it fitted!", "prediction_medium": " Behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have more than one correct homophone, but I have only listed three for each word.", "best_n": 0, "prediction_base": " Behind which was a door about 18 inches high. She tried the little key in the keyhole and it fitted.", "prediction_medium": " I have listed three for each of them, but I have only listed three for each of them.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: The homophones listed are not exhaustive and there may be other words that could be considered homophones depending on the context in which the sentence is used.", "best_n": 0, "prediction_base": " Behind which was a door about 18 inches high. She tried the little key in the keyhole and it fitted.", "prediction_medium": " Behind which was a door about eighteen inches high. She tried the little key in the keyhole and it fitted.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole and it fitted." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some homophones may have multiple meanings or pronunciations.", "best_n": 0, "prediction_base": " Behind which was a door about 18 inches high. She tried the little key in the keyhole, and it fitted.", "prediction_medium": " Behind which was a door about eighteen inches high. She tried the little key in the key-hole, and it fitted.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " Behind which was a door about 18 inches high. She tried the little key in the keyhole and it fitted!", "prediction_medium": " Behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted [/INST]", "segment_id": "AUD0000000468_S0000064", "text": "behind which was a door about eighteen inches high she tried the little key in the keyhole and it fitted ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones are not perfect (e.g., \"witch\" and \"switch\" are not perfect homophones, but they are often confused with one another), and some words have more than two homophones (e.g., \"eighteen\" has three different homophones).", "best_n": 0, "prediction_base": " Behind which was a door about 18 inches high. She tried the little key in the keyhole and it fitted!", "prediction_medium": " Behind which was a door about eighteen inches high. She tried the little key in the keyhole, and it fitted.", "prediction_large_v3": " behind which was a door about eighteen inches high. She tried the little key in the keyhole and it fitted." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that the above list only includes the most common homophones for each word, and there may be other possible homophones as well.", "best_n": 0, "prediction_base": " Alice opened the door and looked down a small passage.", "prediction_medium": " Alice opened the door and looked down a small passage,", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": null, "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Alice opened the door and looked down a small passage.", "prediction_medium": " Alice opened the door and looked down a small passage.", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that are pronounced the same but have different meanings and may have different spellings.", "best_n": 0, "prediction_base": " Alice opened the door and looked down a small passage.", "prediction_medium": " Alice opened the door and looked down a small passage.", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones are Regionally varied, meaning that the pronunciation or spelling may vary depending on the region.", "best_n": 0, "prediction_base": " Alice opened the door and looked down a small passage.", "prediction_medium": " Alice opened the door and looked down a small passage,", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Alyce opened the dore and looked down a small passe.", "best_n": 0, "prediction_base": " Alyce opened the door and looked down a small passage.", "prediction_medium": " Alyce opened the dore and looked down a small passe.", "prediction_large_v3": " Alice opened the door and looked down a small passe." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* And looked down a small passing (homophone for \"passage\")\n* And looked down a small fastening (homophone for \"passage\")\n* And looked down a small pursuing (homophone for \"passage\")", "best_n": 0, "prediction_base": " Alice opened the door and looked down a small passage.", "prediction_medium": " Alice opened the door and looked down a small passage.", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Alice: Alyce, Alicey, Alise, Allis\n* Opened: Opned, Oppen, Opn\n* Door: Dor, Dour\n* Down: Doun, Doon, Downe\n* Passage: Pantage, Passadge, Passa, Passn", "best_n": 0, "prediction_base": " Alice opened the door and looked down a small passage.", "prediction_medium": " Alice opened the door and looked down a small passage.", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Alice: Alyce, Alicea\n* opened: open, oppened\n* the: thee, thae\n* door: door, bore\n* and: end, ond\n* looked: looked, looke\n* down: down, doun\n* a: a, an\n* small: smalle, smeln\n* passage: pastis, passyj", "best_n": 0, "prediction_base": " Alice opened the door and looked down a small passage", "prediction_medium": " Alice opened the door and looked down a small passage.", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Alice opened the door and looked down a small passage.", "prediction_medium": " Alice opened the door and looked down a small passage.", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Alice opened the door and looked down a small passage.", "prediction_medium": " Alice opened the door and looked down a small passage.", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice opened the door and looked down a small passage [/INST]", "segment_id": "AUD0000000468_S0000065", "text": "alice opened the door and looked down a small passage ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones listed may not be perfect substitutes in all contexts, but they are all technically correct homophones of the original words.", "best_n": 0, "prediction_base": " Alice opened the door and looked down a small passage.", "prediction_medium": " Alice opened the door and looked down a small passage,", "prediction_large_v3": " Alice opened the door and looked down a small passage" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Not [knot] larger [largerly] than a [an] rat-hole.", "best_n": 0, "prediction_base": " Not larger than a rat-hole.", "prediction_medium": " Not larger than a rat-hole.", "prediction_large_v3": " Not larger than a rat-hole." }, { "input": null, "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " not larger than a rat hole.", "prediction_medium": " not larger than a rat hole.", "prediction_large_v3": " not larger than a rat-hole." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. not: not, knot\n2. larger: larger, reload, ruler\n3. than: than, tan, ten\n4. a: a, has, he's\n5. rat-hole: rat hole, rot hole, rod hole", "best_n": 0, "prediction_base": " not larger than a rat hole.", "prediction_medium": " not larger than a rat hole", "prediction_large_v3": " not larger than a rat hole" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* rat-hole (the correct choice)\n* root hole (a hole made by a plant's roots)\n* road crew (a group of workers who maintain roads)", "best_n": 0, "prediction_base": " not larger than a rat-hole", "prediction_medium": " not larger than a rat hole", "prediction_large_v3": " not larger than a rat-hole," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "not (knot, note, note)\nlarger (taller, angrier)\nthan (then, ten)\na (an, in)\nrat-hole (hole, whole)", "best_n": 0, "prediction_base": " not larger than a rat-hole.", "prediction_medium": " not larger than a rat-hole", "prediction_large_v3": " not larger than a rat-hole," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. not: note\n2. larger: lair\n3. than: thane\n4. a: ae\n5. rat-hole: rothole", "best_n": 0, "prediction_base": " not larger than a rat-hole", "prediction_medium": " not larger than a rat-hole", "prediction_large_v3": " not larger than a rat-hole" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* not: not, knot\n* larger: larger, taller, loader\n* than: than, closing, chan\n* rat-hole: rat-hole, rotate, toad-hole", "best_n": 0, "prediction_base": " not larger than a rat-hole", "prediction_medium": " not larger than a rat-hole", "prediction_large_v3": " not larger than a rat-hole" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* a hole\n* a goat\n*a coat", "best_n": 0, "prediction_base": " not larger than a rat hole", "prediction_medium": " not larger than a rat hole", "prediction_large_v3": " not larger than a rat hole," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. not - not, knot\n2. larger - larger, collar\n3. than - then, tan\n4. rat-hole - rifle hole, raffle hole", "best_n": 0, "prediction_base": " not larger than a rat-hole", "prediction_medium": " not larger than a rat-hole", "prediction_large_v3": " not larger than a rat-hole," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "not (knot)\nlarger (taller)\nthan (thane)\na (an)\nrat-hole (hole)", "best_n": 0, "prediction_base": " not larger than a rat-hole.", "prediction_medium": " not larger than a rat-hole", "prediction_large_v3": " not larger than a rat-hole," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n not larger than a rat-hole [/INST]", "segment_id": "AUD0000000468_S0000066", "text": "not larger than a rat-hole ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "not - not, knot, kite\nlarger - larger, taller, tallor\nthan - then, thane, ten\nrat-hole - rat hole, rowel, role", "best_n": 0, "prediction_base": " not larger than a rat hole", "prediction_medium": " not larger than a rat hole", "prediction_large_v3": " knot, larger than a rat hole" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n into the loveliest garden you ever saw [/INST]", "segment_id": "AUD0000000468_S0000067", "text": "into the loveliest garden you ever saw ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "*saw\n*sew\n*swe", "best_n": 0, "prediction_base": " Into the loveliest garden you ever saw.", "prediction_medium": " into the loveliest garden you ever saw.", "prediction_large_v3": " Into the loveliest garden you ever saw" }, { "input": null, "segment_id": "AUD0000000468_S0000067", "text": "into the loveliest garden you ever saw ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " into the loveliest garden you ever saw.", "prediction_medium": " into the loveliest garden you ever saw.", "prediction_large_v3": " into the loveliest garden you ever saw." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n into the loveliest garden you ever saw [/INST]", "segment_id": "AUD0000000468_S0000067", "text": "into the loveliest garden you ever saw ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings. The above list includes our centers' standard spellings as well as some possible variations.", "best_n": 0, "prediction_base": " Into the loveliest garden you ever saw.", "prediction_medium": " Enter the loveliest garden you ever saw.", "prediction_large_v3": " Enter the loveliest garden you ever saw." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n into the loveliest garden you ever saw [/INST]", "segment_id": "AUD0000000468_S0000067", "text": "into the loveliest garden you ever saw ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* into: in to, intoo\n* loveliest: loveliгроast, loveliest\n* garden: gardawn, gardin\n* you: yo,yew\n* ever: erve, evver\n* saw: saw, sau", "best_n": 0, "prediction_base": " into the loveliest garden you ever saw.", "prediction_medium": " into the loveliest garden you ever saw.", "prediction_large_v3": " Into the loveliest garden you ever saw." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n into the loveliest garden you ever saw [/INST]", "segment_id": "AUD0000000468_S0000067", "text": "into the loveliest garden you ever saw ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Into the loveliest garden you ever saw.", "prediction_medium": " I'm going to go into the loveliest garden you ever saw.", "prediction_large_v3": " Thank you." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n into the loveliest garden you ever saw [/INST]", "segment_id": "AUD0000000468_S0000067", "text": "into the loveliest garden you ever saw ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"grenade\" is not a homophone of \"garden\" but is included here as a word that is often confused with it because of the similarity in pronunciation.", "best_n": 0, "prediction_base": " Into the loveliest garden you ever saw.", "prediction_medium": " Enter the loveliest garden you ever saw.", "prediction_large_v3": " Into the loveliest garden you ever saw." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n into the loveliest garden you ever saw [/INST]", "segment_id": "AUD0000000468_S0000067", "text": "into the loveliest garden you ever saw ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"шёл\" is not a homophone of \"into\", but a verb with a different meaning.", "best_n": 0, "prediction_base": " Into the loveliest garden you ever saw.", "prediction_medium": " Into the loveliest garden you ever saw.", "prediction_large_v3": " Into the loveliest garden you ever saw." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n into the loveliest garden you ever saw [/INST]", "segment_id": "AUD0000000468_S0000067", "text": "into the loveliest garden you ever saw ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* into the loveliest garden you ever saw / into the lovely garden you ever saw / into the loving garden you ever saw / into the loose garden you ever saw.", "best_n": 0, "prediction_base": " Into the loveliest garden you ever saw.", "prediction_medium": " into the loveliest garden you ever saw.", "prediction_large_v3": " into the loveliest garden you ever saw." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n into the loveliest garden you ever saw [/INST]", "segment_id": "AUD0000000468_S0000067", "text": "into the loveliest garden you ever saw ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that are pronounced the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Into the loveliest garden you ever saw.", "prediction_medium": " Into the loveliest garden you ever saw.", "prediction_large_v3": " Into the loveliest garden you ever saw." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how she longed to get out of that dark hall [/INST]", "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. how: how (how is a definite article, like \"the\" and is pronounced the same way)\n2. she: she (herdiagnostic hurd)\n3. longed: lunged (Note: longed and lunched are homophones, but they have different meanings)\n4. out: out (out is a preposition and cannot be replaced with a homophone)\n5. that: that (that is a pronoun and cannot be replaced with a homophone)\n6. dark: dork (dork is a noun and not a homophone of dark, but I included it because it's a common approximation of the pronunciation of dark)\n7. hall: haul (haul is a verb and not a homophone of hall, but I included it because it's a common approximation of the pronunciation of hall)", "best_n": 0, "prediction_base": "habt6. how is she longed to get out of that dark haul?", "prediction_medium": " how she longed to get out of that dark haul", "prediction_large_v3": " how she longed to get out of that dark hall" }, { "input": null, "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " How is she longed to get out of that dark hole?", "prediction_medium": " How she longed to get out of that dark hall.", "prediction_large_v3": " How she longed to get out of that dark hall!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how she longed to get out of that dark hall [/INST]", "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"how she longed to get out of that dark hall\" has a total of 8 homophones.", "best_n": 0, "prediction_base": " How she longed to get out of that dark hall?", "prediction_medium": " How she longed to get out of that dark hall", "prediction_large_v3": " How she longed to get out of that dark hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how she longed to get out of that dark hall [/INST]", "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* what, hey, high, lodged, looked, gets, ought, these, heal", "best_n": 0, "prediction_base": " how she longed to get out of that dark hall?", "prediction_medium": " how she longed to get out of that dark hall", "prediction_large_v3": " how she longed to get out of that dark hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how she longed to get out of that dark hall [/INST]", "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "how (she, shell, sea) longed (said, song) to get (out, about) out of that (bat, spark) dark (ball, hall) hall", "best_n": 0, "prediction_base": " how she longed to get out of that dark hall", "prediction_medium": " how she longed to get out of that dark hall", "prediction_large_v3": " how she longed to get out of that dark hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how she longed to get out of that dark hall [/INST]", "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " How is she longed to get out of that dark hole?", "prediction_medium": " How long she longed to get out of that dark hall.", "prediction_large_v3": " How she longed to get out of that dark hall!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how she longed to get out of that dark hall [/INST]", "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"how she longed to get out of that dark hall\" has a total of 8 homophones!", "best_n": 0, "prediction_base": " How she longed to get out of that dark hall?", "prediction_medium": " How she longed to get out of that dark hall!", "prediction_large_v3": " How she longed to get out of that dark hall!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how she longed to get out of that dark hall [/INST]", "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may have slightly different connotations or usage, but they all share the same pronunciation.", "best_n": 0, "prediction_base": " How is she longed to get out of that dark hole?", "prediction_medium": " How she longed to get out of that dark hall.", "prediction_large_v3": " How she longed to get out of that dark hall!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how she longed to get out of that dark hall [/INST]", "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " how - how (pronounced the same, but with different meanings)\nshe - sheep\nlonged - loathed\nto - two\nget - get (pronounced the same, but with different meanings)\nout - off\nof - ocean\nthat - hat\ndark - park\nhall - ball", "best_n": 0, "prediction_base": " how she longed to get out of that dark hall", "prediction_medium": " howshelongedtogetoutofthatdarkhall", "prediction_large_v3": " How she longed to get out of that dark hall!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how she longed to get out of that dark hall [/INST]", "segment_id": "AUD0000000468_S0000068", "text": "how she longed to get out of that dark hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "how (wow) she (view) longed (song) to get (set) out (rout) of that (hat) dark (park) hall (ball)", "best_n": 0, "prediction_base": " how she longed to get out of that dark hall", "prediction_medium": " how she longed to get out of that dark hall", "prediction_large_v3": " how she longed to get out of that dark hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and - &, wante, wont, W bridges\nabout - arte, bout, be De, be-ynamour big head\nbeds - beds, bed\nbright - trye, sight\nflowers - floers, freeze, fres\ncool - cou, fool, kept\nfountains - fontes, fountnse ", "best_n": 0, "prediction_base": " & wonder about among those beds of bright flowers & those cool fountains", "prediction_medium": " & wonder about among those beds of bright flowers & those cool fountains.", "prediction_large_v3": " & wonder about among those beds of bright flowers & those cool fountains" }, { "input": null, "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and wonder about among those beds of bright flowers, and those cool fountains.", "prediction_medium": " and wonder about among those beds of bright flowers and those cool fountains.", "prediction_large_v3": " and wander about among those beds of bright flowers and those cool fountains," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"biddles\" and \"floures\" are not exact homophones, but they are close variations of the words \"beds\" and \"flowers\" that are easily confused with their correct spellings.", "best_n": 0, "prediction_base": " And wonder about among those beds of bright flowers and those cool fountains.", "prediction_medium": " And wonder about among those beds of bright flowers and those cool fountains", "prediction_large_v3": " And wander about among those beds of bright flowers and those cool fountains," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& wander aboy those heads of sight and those rule ofemo.", "best_n": 0, "prediction_base": " And wander aboy among those beds of bright flowers and those cool fountains.", "prediction_medium": " & wonder about among those beds of bright flowers & those cool fountains.", "prediction_large_v3": " And wander about among those beds of bright flowers and those cool fountains." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " And wonder about among those beds of bright flowers and those cool fountains.", "prediction_medium": " And wonder about among those beds of bright flowers and those cool fountains.", "prediction_large_v3": " And wander about among those beds of bright flowers and those cool fountains," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. wander: wonder\n3. about: abound\n4. beds: heads\n5. bright: height\n6. flowers:flours\n7. cool: cruse\n8. fountains: foundations", "best_n": 0, "prediction_base": " & wonder about among those beds of bright flowers & those cool fountains?", "prediction_medium": " && wonder about among those beds of bright flowers && those cool fountains", "prediction_large_v3": " and wonder about among those bedss of bright flowers and those cool fountains" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& wndr abt among ths bets of rgt flrs nd ths cole fnds", "best_n": 0, "prediction_base": " & wndr abt among ths bets of rgt flrs nd ths cole fnds", "prediction_medium": " & wndr abt among ths bets of rgt flrs nd ths cole fnds", "prediction_large_v3": " and wonder about among those beds of bright flowers and those cool fountains" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And wonder about among those beds of bright flowers and those cool fountains.", "prediction_medium": " And wonder about among those beds of bright flowers, and those cool fountains,", "prediction_large_v3": " and wander about among those beds of bright flowers and those cool fountains," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And wonder about among those beds of bright flowers and those cool fountains!", "prediction_medium": " And wonder about among those beds of bright flowers, and those cool fountains,", "prediction_large_v3": " and wander about among those beds of bright flowers and those cool fountains," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may be slight variations or different spellings of the same word, but they are all pronounced the same way.", "best_n": 0, "prediction_base": " And wonder about among those beds of bright flowers and those cool fountains.", "prediction_medium": " And wonder about among those beds of bright flowers and those cool fountains.", "prediction_large_v3": " And wander about among those beds of bright flowers and those cool fountains," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and wander about among those beds of bright flowers and those cool fountains [/INST]", "segment_id": "AUD0000000468_S0000069", "text": "and wander about among those beds of bright flowers and those cool fountains ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Fountains: A structure that pours out water in a flow.\n* Found: To discover or come upon something unexpectedly.\n* Fund: A sum of money.", "best_n": 0, "prediction_base": " And wonder about among those beds of bright flowers and those cool fountains.", "prediction_medium": " And wonder about among those beds of bright flowers, And those cool fountains,", "prediction_large_v3": " And wander about among those beds of bright flowers and those cool fountains." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she could not even get her head through the doorway [/INST]", "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may not be exact substitutes in the sentence, but they all have the same pronunciation as the original word.", "best_n": 0, "prediction_base": " But she could not even get her head through the doorway.", "prediction_medium": " But she cannot even get her head through the doorway.", "prediction_large_v3": " But she could not even get her head through the doorway." }, { "input": null, "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But she could not even get her head through the doorway.", "prediction_medium": " But she could not even get her head through the doorway.", "prediction_large_v3": " But she could not even get her head through the doorway." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she could not even get her head through the doorway [/INST]", "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but (bat, butt, butte), she (shoe, she'd, shell), could (could, culd, was able to), not (knot, nut, note), even (even, eve, evolve), get (get, gett, get-together), her (her, hear, here), head (head, hide, hedge), through (through, threw, though), doorway (doorway, door, dolly)", "best_n": 0, "prediction_base": " but she could not even get her head through the doorway.", "prediction_medium": " but she could not even get her head through the doorway.", "prediction_large_v3": " but she could not even get her head through the doorway." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she could not even get her head through the doorway [/INST]", "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " But she could not even get her head through the doorway.", "prediction_medium": " But she cannot even get her head through the doorway.", "prediction_large_v3": " But she could not even get her head through the doorway." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she could not even get her head through the doorway [/INST]", "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bud shore could not even get her air through the door epoch", "best_n": 0, "prediction_base": " but she could not even get her head through the doorway.", "prediction_medium": " but she could not even get her head through the doorway", "prediction_large_v3": " but she could not even get her head through the doorway" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she could not even get her head through the doorway [/INST]", "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"but she could not even get her head through the doorway\" has 10 homophones.", "best_n": 0, "prediction_base": " But she could not even get her head through the doorway.", "prediction_medium": " But she could not even get her head through the doorway.", "prediction_large_v3": " But she could not even get her head through the doorway." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she could not even get her head through the doorway [/INST]", "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " But she could not even get her head through the doorway.", "prediction_medium": " But she cannot even get her head through the doorway.", "prediction_large_v3": " But she could not even get her head through the doorway." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she could not even get her head through the doorway [/INST]", "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " But she could not even get her head through the doorway.", "prediction_medium": " But she cannot even get her head through the doorway.", "prediction_large_v3": " But she could not even get her head through the doorway." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she could not even get her head through the doorway [/INST]", "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, and some of these homophones may be more appropriate in certain contexts than others.", "best_n": 0, "prediction_base": " But she could not even get her head through the doorway.", "prediction_medium": " But she cannot even get her head through the doorway.", "prediction_large_v3": " But she could not even get her head through the doorway." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she could not even get her head through the doorway [/INST]", "segment_id": "AUD0000000468_S0000070", "text": "but she could not even get her head through the doorway ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " But she could not even get her head through the doorway.", "prediction_medium": " But she cannot even get her head through the doorway.", "prediction_large_v3": " But she could not even get her head through the doorway." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: and, an\n* even: even, even if\n* if: if, iff\n* my: my, mice\n* head: head, health\n* would: would, wood\n* through: through, thought\n* thought: thought, brought\n* poor: poor, pour\n* alice: alice, all doses", "best_n": 0, "prediction_base": " WOODR and even if my head would go through... thought solem steering says valISSA-..)", "prediction_medium": " and even if my head would go through, thought poor alice", "prediction_large_v3": " and even if my head would go through thought poor alice" }, { "input": null, "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And even if my head would go through, thought poor Alice.", "prediction_medium": " And even if my head would go through— Thought poor Alice.", "prediction_large_v3": " And even if my head would go through, thought poor Alice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& even if my ham would go throu thought rice", "best_n": 0, "prediction_base": " and even if my head would go throu thought poor Alice.", "prediction_medium": " & even if my ham would go throu thought poor Alice.", "prediction_large_v3": " thought poor alice and i was" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* & (and)\n* even (even)\n* iff (if)\n* my (my)\n* head (head)\n* would (would)\n* go (go)\n* thru (through)\n* thro (through)\n* thought (thought)\n* poor (poor)\n* Alice (Alice)", "best_n": 0, "prediction_base": " and even if my head would go through, thought poor Alice.", "prediction_medium": " & even if my head would go through, thought poor Alice.", "prediction_large_v3": " and even if my head would go through thought poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones are not words in their own right, but rather alternative ways of pronouncing or spelling the actual words.", "best_n": 0, "prediction_base": " And even if my head would go through, thought poor Alice.", "prediction_medium": " And even if my head would go through—thought poor Alice.", "prediction_large_v3": " And even if my head would go through, thought poor Alice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And even if my hand would go through thought poor apply.", "best_n": 0, "prediction_base": " And even if my head would go through thought poor Alice.", "prediction_medium": " And even if my head would go through thought poor Alice.", "prediction_large_v3": " And even if my head would go through thought poor Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. even: even\n3. would: wood\n4. go: go\n5. through: throng\n6. thought: thought\n7. poor: poor\n8. alice: Alice", "best_n": 0, "prediction_base": " and even if my head would go through, thought poor alice.", "prediction_medium": " & even if my head would go through thought poor Alice", "prediction_large_v3": " and even if my head would go through thought poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. even: even\n3. if: iff\n4. my: mine\n5. head: heed\n6. would: wood\n7. through: thru, throu\n8. thought: thought\n9. poor: pour\n10. alice: Alice", "best_n": 0, "prediction_base": " and even if my head would go through, thought poor Alice.", "prediction_medium": " and even if my head would go through thought poor Alice", "prediction_large_v3": " and even if my head would go through thought poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and - and, hand\n2. even - even, evene\n3. if - if, iff\n4. my - my, mi\n5. head - head, hat\n6. would - would, wood\n7. go - go, know\n8. through - through, through\n9. thought - thought, brought\n10. poor - poor, bore\n11. alice - alice, Iris", "best_n": 0, "prediction_base": " and even if my head would go through, thought poor alice.", "prediction_medium": " and even if my head would go through, thought poor Alice.", "prediction_large_v3": " and even if my head would go through thought poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and even if my heed would throw through thought poor Alys.", "best_n": 0, "prediction_base": " And even if my head would go through thought poor Alys.", "prediction_medium": " And even if my head would go through thought poor Alys.", "prediction_large_v3": " And even if my head would go through thought poor Alys." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and even if my head would go through thought poor alice [/INST]", "segment_id": "AUD0000000468_S0000071", "text": "and even if my head would go through thought poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& even if mye heid woud go throo thought poure alice", "best_n": 0, "prediction_base": " and even if mye heid woud go throo thought poor alice.", "prediction_medium": " & even if my head woud go throo thought poure alice", "prediction_large_v3": " and even if mye heid woud go throo thought poure alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same when spoken, but have different meanings and sometimes different spellings.", "best_n": 0, "prediction_base": " It would be very little used without my shoulders.", "prediction_medium": " It would be very little use without my shoulders.", "prediction_large_v3": " It would be very little use without my shoulders." }, { "input": null, "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " It would be very little used without my shoulders.", "prediction_medium": " It would be very little use without my shoulders.", "prediction_large_v3": " It would be very little use without my shoulders.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "It would be very little use (without) my shoulders ", "best_n": 0, "prediction_base": " It would be very little use without my shoulders.", "prediction_medium": " It would be very little use without my shoulders", "prediction_large_v3": " it would be very little use without my shoulders" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence has 7 homophones in total!", "best_n": 0, "prediction_base": " It would be very little used without my shoulders.", "prediction_medium": " It would be very little use without my shoulders.", "prediction_large_v3": " It would be very little use without my shoulders." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I've provided are not exact homophones, but they are close approximations.", "best_n": 0, "prediction_base": " It would be very little used without my shoulders.", "prediction_medium": " It would be very little use without my shoulders.", "prediction_large_v3": " It would be very little use without my shoulders." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "it (hit, bit, sit) would (wood, would, good) be (be, see, sea) little (little, litter, literature) use (use, Mus, dew) my (my, fly, by) shoulders (shoulders, shadows, showers)", "best_n": 0, "prediction_base": " it would be very little use without my shoulders.", "prediction_medium": " it would be very little use without my shoulders.", "prediction_large_v3": " it would be very little use without my shoulders." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"it\" - \"hit\"\n2. \"would\" - \"wood\"\n3. \"be\" - \"bee\"\n4. \"little\" - \"littler\"\n5. \"use\" - \"use\"\n6. \"my\" - \"mye\" (archaic)\n7. \"shoulders\" - \"sholders\" (variant spelling)", "best_n": 0, "prediction_base": " It would be very little used without my shoulders.", "prediction_medium": " It would be very little use without my shoulders.", "prediction_large_v3": " It would be very little use without my shoulders." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "he/she/it would be very little use without my/mine shoolders.", "best_n": 0, "prediction_base": " It would be very little use without my shoulders.", "prediction_medium": " It would be very little use without my shoulders.", "prediction_large_v3": " i" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "hit, wood, bee, bear, litter, sue, fly, shirts.", "best_n": 0, "prediction_base": " It would be very little used without my shoulders.", "prediction_medium": " It would be very little use without my shoulders.", "prediction_large_v3": " It would be very little use without my shoulders.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. it: them\n2. would: would\n3. be: be\n4. very: very\n5. little: lily\n6. use: uze\n7. my: my\n8. shoulders: shadows", "best_n": 0, "prediction_base": " it would be very little used without my shoulders.", "prediction_medium": " it would be very little use without my shoulders", "prediction_large_v3": " it would be very little use without my shoulders." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it would be very little use without my shoulders [/INST]", "segment_id": "AUD0000000468_S0000072", "text": "it would be very little use without my shoulders ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that the homophones I've provided are the most common ones for each word, but there may be other possible homophones as well.", "best_n": 0, "prediction_base": " It would be very little used without my shoulders.", "prediction_medium": " It would be very little use without my shoulders.", "prediction_large_v3": " It would be very little use without my shoulders.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "oh [ho, lo, no] how [blow, below, sow] i [eye, buy, try] wish [dish, fish, rush] could [would, wood] shut [else, flute] up [oup, oup] like [lie, line] telescope [telegraph, pilot]", "best_n": 0, "prediction_base": " oh, how I wish I could shut up like a telescope?", "prediction_medium": " oh, how I wish I could shut up like a telescope.", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope." }, { "input": null, "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Oh, how I wish I could shut up like a telescope.", "prediction_medium": " Oh, how I wish I could shut up like a telescope.", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Oh, How, I, Wish, Shut, Up, Like, Telescope.", "best_n": 0, "prediction_base": " Oh, How, I Wish, I, Could, Shut Up, Like, Telescope.", "prediction_medium": " Oh, How, I, Wish, Shut, Up, Like, Telescope.", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones may not be exact, but they are close alternatives that are commonly confused with the original words.", "best_n": 0, "prediction_base": " Oh, how I wish I could shut up like a telescope.", "prediction_medium": " Oh, how I wish I could shut up like a telescope.", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Oh: O, Oh\n* How: Wow, Now, Hour\n* I: Eye, Aye\n* Wish: Use, Wanze\n* Could: Would, Wood\n* Shut: Loose, Root\n* Up: Up, Upwards\n* Like: Lie, Liken\n* Telescope: Microscope, Kaleidoscope", "best_n": 0, "prediction_base": " Oh, how I wish I could shut up like a telescope.", "prediction_medium": " Oh, how I wish I could shut up like a telescope.", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Or now I want to close up like a microscope.\"", "best_n": 0, "prediction_base": " Oh, how I wish I could shut up like a telescope.", "prediction_medium": " Oh, how I wish I could shut up like a telescope.", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* oh: owe, how, hoe\n* how: howe, wow\n* i: eye, lie\n* wish: wish, witch\n* shut: shoe, hut\n* up: up, cup\n* like: like, lark\n* telescope: telescope, teliestcope", "best_n": 0, "prediction_base": " oh, how i wish i could shut up like a telescope?", "prediction_medium": " oh, how i wish i could shut up like a telescope", "prediction_large_v3": " oh, how i wish i could shut up like a telescope" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Oh, how I wish I could shut up like a telescope.", "prediction_medium": " Oh, how I wish I could shut up like a telescope!", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed each word once.", "best_n": 0, "prediction_base": " Oh, how I wish I could shut up like a telescope.", "prediction_medium": " Oh, how I wish I could shut up like a telescope.", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be additional homophones not listed here, depending on the specific context and accent of the speaker.", "best_n": 0, "prediction_base": " Oh, how I wish I could shut up like a telescope.", "prediction_medium": " Oh, how I wish I could shut up like a telescope.", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n oh how i wish i could shut up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000073", "text": "oh how i wish i could shut up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Ah how eye wish pup could hut like lite, but alas, eye am afflicted with the wishin' disease.\"", "best_n": 0, "prediction_base": " Oh, how eye wish I could shut up like a telescope.", "prediction_medium": " Oh, how I wish I could shut up like a telescope.", "prediction_large_v3": " Oh, how I wish I could shut up like a telescope!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. I: eye, ay, aye\n2. think: sink, link, drink\n3. could: would,oul,udo", "best_n": 0, "prediction_base": " I think I could.", "prediction_medium": " I think I could.", "prediction_large_v3": " I think I could" }, { "input": null, "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I think I could.", "prediction_medium": " I think I could.", "prediction_large_v3": " I think I could" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Total: 12 homophones.", "best_n": 0, "prediction_base": " I think I could.", "prediction_medium": " I think I could.", "prediction_large_v3": " I think I could." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and may or may not be spelled differently.", "best_n": 0, "prediction_base": " I think I could.", "prediction_medium": " I think I could.", "prediction_large_v3": " I think I could." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"I think\" = \"eye sink\"\n* \"could\" = \"would\", \"should\"", "best_n": 0, "prediction_base": " I think I could...", "prediction_medium": " I think I could.", "prediction_large_v3": " I think I could..." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "sink i would shrink, buy eye, would wood.", "best_n": 0, "prediction_base": " I think i could.", "prediction_medium": " i think i could.", "prediction_large_v3": " I think I could." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I: eye\n* think: sink\n* could: would", "best_n": 0, "prediction_base": " I think I could.", "prediction_medium": " I think I could", "prediction_large_v3": " I think I could" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"eye sink aud could\"", "best_n": 0, "prediction_base": " I think I could.", "prediction_medium": " I think I could.", "prediction_large_v3": " I think I could" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"I sink I would\"\n* \"I shrink I would\"\n* \"I stink I would\"\n* \"I wink I would\"\n* \"I eye I would\"\n* \"I buy I would\"\n* \"I fly I would\"\n* \"I try I would\"", "best_n": 0, "prediction_base": "\u0011 LOL LOL LOL", "prediction_medium": " I think I could", "prediction_large_v3": " I think I could" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* think: sink, drink, link, gink\n* could: would, would've, gold, mould", "best_n": 0, "prediction_base": " I think I could.", "prediction_medium": " I think I could", "prediction_large_v3": " I think I could" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i could [/INST]", "segment_id": "AUD0000000468_S0000074", "text": "i think i could ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I (eye/i)\n* think (sink/drink)\n* could (would/should)", "best_n": 0, "prediction_base": " I think I could...", "prediction_medium": " I think I could.", "prediction_large_v3": " I think I could" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"if i only knew how to bigin\"", "best_n": 0, "prediction_base": " If i only knew how to begin...", "prediction_medium": " if i only knew how to begin", "prediction_large_v3": " If I only knew how to begin." }, { "input": null, "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " If I only knew how to begin...", "prediction_medium": " If I only knew how to begin...", "prediction_large_v3": " If I only knew how to begin!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* iff I only knew how to begin\n* onely I knew how to begin\n* knew I how to begin\n* now I only knew how to begin\n* to begin with I knew how\n* bin I knew how to begin", "best_n": 0, "prediction_base": "omiast if I only knew how to begin increSt ..... Humans sounds deaf depths ...", "prediction_medium": " if I only knew how to begin", "prediction_large_v3": " if I only knew how to begin" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "if: if - iff - iv\ni: i - eye - pair\nonly: only - onley - oaly\nknew: knew - new - no\nhow: how - wow - whoa\nto: to - two - too\nbegin: begin - bin - bear", "best_n": 0, "prediction_base": " if i only knew how to begin", "prediction_medium": " if i only knew how to begin", "prediction_large_v3": " if i only knew how to begin" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"if\":\n\t* if (if)\n\t* iff (iff)\n2. \"only\":\n\t* only (only)\n\t* alone (alone)\n3. \"knew\":\n\t* knew (knew)\n\t* new (new)\n4. \"how\":\n\t* how (how)\n\t* now (now)\n5. \"to\":\n\t* to (to)\n\t* two (two)\n6. \"begin\":\n\t* begin (begin)\n\t* bin (bin)", "best_n": 0, "prediction_base": " Kolleg6. If I only knew how to begin...", "prediction_medium": " if i only knew how to begin", "prediction_large_v3": " if I only knew how to begin," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "If (immutable) I only (only) knew (knew) how (how) to (to) begin (begin).", "best_n": 0, "prediction_base": " If I only knew how to begin...", "prediction_medium": " If I only knew how to begin...", "prediction_large_v3": " if I only knew how to begin." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* if: if, iff, pipe\n* only: only, lone, one\n* knew: knew, new, no\n* how: how, wow, blow\n* to: to, too, two\n* begin: begin, bent, bing", "best_n": 0, "prediction_base": " if I only knew how to begin", "prediction_medium": " if I only knew how to begin", "prediction_large_v3": " If I only knew how to begin!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"if i only knew how to begin\" has 7 homophones.", "best_n": 0, "prediction_base": " If i only knew how to begin...", "prediction_medium": " If I only knew how to begin...", "prediction_large_v3": " If I only knew how to begin!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "fire if i lonely new binge\nfly if i lon occidental blew two\nbow how bore spin", "best_n": 0, "prediction_base": " if i only knew how to begin", "prediction_medium": " if i only knew how to begin", "prediction_large_v3": " if i only knew how to begin" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "iff i only knew how to bigyn", "best_n": 0, "prediction_base": " if i only knew how to begin", "prediction_medium": " if i only knew how to begin", "prediction_large_v3": " if i only knew how to begin" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if i only knew how to begin [/INST]", "segment_id": "AUD0000000468_S0000075", "text": "if i only knew how to begin ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " If I only knew how to begin...", "prediction_medium": " If I only knew how to begin...", "prediction_large_v3": " If I only knew how to begin!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "That Allie began to sink very few thongs indeed were reel.", "best_n": 0, "prediction_base": " That Allie began to think very few thongs indeed were really impossible.", "prediction_medium": " That Alice began to sink very few thongs indeed were reel.", "prediction_large_v3": " impossible." }, { "input": null, "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " that Alice began to think very few things indeed were really impossible.", "prediction_medium": " that Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " that Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* imp ossible\n* im poossible", "best_n": 0, "prediction_base": " That Alice began to think very few things indeed were really impossible.", "prediction_medium": " That Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " that Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "This Allie sink to drink very few rings we're eat were read impossible.", "best_n": 0, "prediction_base": " That Alice began to think very few things indeed were really impossible.", "prediction_medium": " That Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " that Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have more than one homophone, but I have only listed the most common ones.", "best_n": 0, "prediction_base": " That Alice began to think very few things indeed were really impossible.", "prediction_medium": " That Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " that Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, and some have multiple pronunciations or spellings. Also, keep in mind that homophones are words that sound the same but may have different meanings or spellings, but not always.", "best_n": 0, "prediction_base": " That Alice began to think very few things indeed were really impossible.", "prediction_medium": " That Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " That Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. that - that, hat\n2. Alice - Alice, funny\n3. began - began, bank\n4. to - toe\n5. think - sink\n6. few - flu\n7. things - wings\n8. were - wear\n9. really - rely\n10. impossible - embarrass", "best_n": 0, "prediction_base": " that Alice began to think very few things indeed were really impossible.", "prediction_medium": " That Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " that Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may not be exact substitutions in all contexts or dialects, but they are all valid homophones of the original word.", "best_n": 0, "prediction_base": " That Alice began to think very few things indeed were really impossible.", "prediction_medium": " That Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " that Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " That Alice began to think very few things indeed were really impossible.", "prediction_medium": " That Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " that Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions or if you'd like more homophones for any of these words.", "best_n": 0, "prediction_base": " That Alice began to think very few things indeed were really impossible.", "prediction_medium": " That Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " that Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n that alice began to think very few things indeed were really impossible [/INST]", "segment_id": "AUD0000000468_S0000077", "text": "that alice began to think very few things indeed were really impossible ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " That Alice began to think very few things indeed were really impossible.", "prediction_medium": " That Alice began to think very few things indeed were really impossible.", "prediction_large_v3": " that Alice began to think very few things indeed were really impossible." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. there: air, fare, hair, here\n2. was: was, since, sis, bстов\n3. nothing: nothing, nothin', no thin', no thing\n4. else: else, elves, evil, eyes\n5. to: to, too, two, tutu\n6. do: do, dew, dude, dough", "best_n": 0, "prediction_base": " there was nothing else to do", "prediction_medium": " there was nothing else to do", "prediction_large_v3": " There was nothing else to do." }, { "input": null, "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " There was nothing else to do.", "prediction_medium": " There was nothing else to do.", "prediction_large_v3": " There was nothing else to do." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that Sound the Same but have different Meanings and often different Spellings.", "best_n": 0, "prediction_base": " There was nothing else to do.", "prediction_medium": " There was nothing else to do.", "prediction_large_v3": " There was nothing else to do." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"here were we're their nuthing ambers too\"", "best_n": 0, "prediction_base": " There was nothing else to do!", "prediction_medium": " there was nothing else to do", "prediction_large_v3": " There was nothing else to do." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "There were no other knots to sell, and they were all worn.", "best_n": 0, "prediction_base": " There was nothing else to do.", "prediction_medium": " There was nothing else to do.", "prediction_large_v3": " There was nothing else to do." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"here was nothing else to do, where were there\".", "best_n": 0, "prediction_base": " There was nothing else to do.", "prediction_medium": " there was nothing else to do", "prediction_large_v3": " There was nothing else to do." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Here were no knot two elf to do.", "best_n": 0, "prediction_base": " There was nothing else to do.", "prediction_medium": " There was nothing else to do.", "prediction_large_v3": " There was nothing else to do." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " There was nothing else to do!", "prediction_medium": " There was nothing else to do.", "prediction_large_v3": " There was nothing else to do." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Certainly! Here are the homophones for each word in the sentence:\n\n1. \"there\" - here, herein, hereupon, hereto\n2. \"was\" - were, we're, wear\n3. \"nothing\" - nought, noun, nones\n4. \"else\" - else, elf, helping verb\n5. \"do\" - do, dew, due, dough\n\nSo, the homophones for the sentence \"there was nothing else to do\" are:\n\nThere = here, herein, hereupon, hereto\nwas = were, we're, wear\nnothing = nought, noun, nones\nelse = else, elf, helping verb\ndo = do, dew, due, dough", "best_n": 0, "prediction_base": " there was nothing else to do.", "prediction_medium": " There was nothing else to do.", "prediction_large_v3": " there was nothing else to do" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* dew\n* hoo\n* voo", "best_n": 0, "prediction_base": " There was nothing else to do!", "prediction_medium": " there was nothing else to do", "prediction_large_v3": " There was nothing else to do." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n there was nothing else to do [/INST]", "segment_id": "AUD0000000468_S0000078", "text": "there was nothing else to do ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Too\n* Two", "best_n": 0, "prediction_base": " There was nothing else to do.", "prediction_medium": " There was nothing else to do.", "prediction_large_v3": " There was nothing else to do." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. so - no, know, slow\n2. she - he, ee\n3. went - want, one\n4. back - black, bark, beat\n5. to - two, too\n6. the - be, best\n7. table - tale, bale\n8. sentence - cent, sence", "best_n": 0, "prediction_base": " so she went back to the table.", "prediction_medium": " so she went back to the table", "prediction_large_v3": " so she went back to the table" }, { "input": null, "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " So she went back to the table.", "prediction_medium": " So she went back to the table.", "prediction_large_v3": " So she went back to the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* no she hey wore bat (wearing a bat on her back)\n* no she hey went bags (carrying bags back)\n* no she hey told tale (told a tale to the table)", "best_n": 0, "prediction_base": " so she went back to the table", "prediction_medium": " so she went back to the table", "prediction_large_v3": " so she went back to the table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so (no) she (he) went (bag) back (toe) to (be) the (tale) table.", "best_n": 0, "prediction_base": " so she went back to the table.", "prediction_medium": " So she went back to the table.", "prediction_large_v3": " So she went back to the table," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " So, she went back to the table.", "prediction_medium": " So she went back to the table.", "prediction_large_v3": " So she went back to the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"so\" has four homophones, and \"back\" has three. Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " So she went back to the table.", "prediction_medium": " So she went back to the table.", "prediction_large_v3": " So she went back to the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so (no) she (he) back (bacon) to (two) the (thee) table (table)", "best_n": 0, "prediction_base": " so she went back to the table", "prediction_medium": " so she went back to the table.", "prediction_large_v3": " so she went back to the table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so (no) she (he) went back (back) to the (tree) table.", "best_n": 0, "prediction_base": " So she went back to the table.", "prediction_medium": " So she went back to the table.", "prediction_large_v3": " So she went back to the table," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so (range/row) she (he/her/him) went (went/went) back (back/bark) to (to/two/too) the (the/thee/th fee) table (table/tablet)", "best_n": 0, "prediction_base": " so she went back to the table.", "prediction_medium": " so she went back to the table.", "prediction_large_v3": " so she went back to the table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " So she went back to the table.", "prediction_medium": " So she went back to the table.", "prediction_large_v3": " So she went back to the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she went back to the table [/INST]", "segment_id": "AUD0000000468_S0000079", "text": "so she went back to the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* table\n* tale\n* bale", "best_n": 0, "prediction_base": " so she went back to the table", "prediction_medium": " So she went back to the table.", "prediction_large_v3": " So she went back to the table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for each word in the sentence, but I've only listed the most common ones.", "best_n": 0, "prediction_base": " And see whether the bottles forked poison or not.", "prediction_medium": " And see whether the bottle's corked poison or not.", "prediction_large_v3": " And see whether the bottles marked poison or not." }, { "input": null, "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and see whether the bottles parked poison or not.", "prediction_medium": " and see whether the bottle's corked poison or not.", "prediction_large_v3": " and see whether the bottles marked poison or not." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& see whether the battle's possin or not.", "best_n": 0, "prediction_base": " And see whether the bottles forked poison or not.", "prediction_medium": " & see whether the battle's possin or not.", "prediction_large_v3": " And see whether the battle's forked poison or not." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And see whether the battle's marched or not.", "best_n": 0, "prediction_base": " And see whether the battles forked poison or not.", "prediction_medium": " And see whether the battle's marched or not.", "prediction_large_v3": " And see whether the battle's marked poison or not." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And see whether the bottles forked poison or not.", "prediction_medium": " And see whether the bottle's corked poison or not.", "prediction_large_v3": " And see whether the bottles marked poison or not." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& see whether the bottle's marked poison or not", "best_n": 0, "prediction_base": " and see whether the bottles marked poison or not.", "prediction_medium": " and see whether the bottle's marked poison or not", "prediction_large_v3": " and see whether the bottle's marked poison or not" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I've provided are not exact duplicates, but they are all words that are pronounced the same as the original word in the sentence.", "best_n": 0, "prediction_base": " And see whether the bottles forked poison or not.", "prediction_medium": " And see whether the bottle's corked poison or not.", "prediction_large_v3": " And see whether the bottles marked poison or not." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And see whether the bottle's marred posion or not.", "best_n": 0, "prediction_base": " And see whether the bottles forked poison or not.", "prediction_medium": " And see whether the bottle's marred posion or not.", "prediction_large_v3": " And see whether the bottle's marked poison or not." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"marked\" and \"poison\" are not perfect homophones, as they have slightly different meanings and pronunciations, but they are commonly confused with each other in written language.", "best_n": 0, "prediction_base": " And see whether the bottles forked poison or not.", "prediction_medium": " And see whether the bottle's marked poison or not.", "prediction_large_v3": " And see whether the bottles marked poison or not." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different spellings and/or meanings.", "best_n": 0, "prediction_base": " And see whether the bottles forked poison or not.", "prediction_medium": " And see whether the bottle's corked poison or not.", "prediction_large_v3": " And see whether the bottles marked poison or not." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and see whether the bottle's marked poison or not [/INST]", "segment_id": "AUD0000000468_S0000083", "text": "and see whether the bottle's marked poison or not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\nsee: sea\nwhether: weather\nbottle: battle\nmarked: marked\npoison: piano\nnot: knot", "best_n": 0, "prediction_base": " &see whether the bottles forked poison or not?", "prediction_medium": " &seewhether the bottle is marked poison or not", "prediction_large_v3": " & see whether the bottles marked poison or not" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones are literal opposites of each other (e.g. \"burned\" and \"burnt\"), while others are simply different spellings of the same word (e.g. \" или \" and \" storis\").", "best_n": 0, "prediction_base": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things.", "prediction_medium": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things.", "prediction_large_v3": " for Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things" }, { "input": null, "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things.", "prediction_medium": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things.", "prediction_large_v3": " for Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I've provided may not be exact, but they are close and can be considered homophones based on their similar pronunciation.", "best_n": 0, "prediction_base": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things,", "prediction_medium": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things.", "prediction_large_v3": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"Alice\" - Alise, Allie, Alissa, Alyce, Alize\n2. \"had\" - had, hadd, ha tedesco\n3. \"read\" - read, reed, red\n4. \"nice\" - nice, nighce, nise, nyce\n5. \"little\" - little, litte, lyard, lietle\n6. \"stories\" - stories, storeis, storis, sttrees\n7. \"about\" - about, aboute, abouет, abot\n8. \"children\" - children, chirren, childern, chillunning\n9. \"that\" - that, thaat, thatt, thet\n10. \"got\" - got, goat, gate\n11. \"burnt\" - burnt, burned, burt\n12. \"and\" - and, an, a\n13. \"eaten\" - eaten, eighten, eatin\n14. \"up\" - up, u, yp\n15. \"by\" - by, bye, bey\n16. \"wild\" - wild, wile, wyld\n17. \"beasts\" - beasts, beasts, beste\n18. \"other\" - other, othere, udder\n19. \"unpleasant\" - unpleasant, unplesant, unspleasant", "best_n": 0, "prediction_base": " for allos had read several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things.", "prediction_medium": " timeless pleasant.", "prediction_large_v3": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I've provided are dictionaries-defined, while others are more idiomatic or context-dependent.", "best_n": 0, "prediction_base": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things,", "prediction_medium": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things.", "prediction_large_v3": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* things\n* rings", "best_n": 0, "prediction_base": " for Alice had read several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things.", "prediction_medium": " for Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things", "prediction_large_v3": " for Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"alice\" - \"Alice\"\n2. \"had\" - \"had\"\n3. \"read\" - \"read\"\n4. \"nice\" - \"nice\"\n5. \"little\" - \"little\"\n6. \"stories\" - \"tales\"\n7. \"about\" - \"concerning\"\n8. \"children\" - \"kids\"\n9. \"that\" - \"those\"\n10. \"got\" - \"obtained\"\n11. \"burnt\" - \"burned\"\n12. \"and\" - \"and\"\n13. \"eaten\" - \"eaten\"\n14. \"up\" - \"consumed\"\n15. \"by\" - \"by\"\n16. \"wild\" - \"wild\"\n17. \"beasts\" - \"beasts\"\n18. \"other\" - \"other\"\n19. \"unpleasant\" - \"unpleasant\"\n20. \"things\" - \"matters\"", "best_n": 0, "prediction_base": "uerdo4alicehadreads several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things.\"", "prediction_medium": "igible21. For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things.", "prediction_large_v3": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I've included are not exactly perfect substitutions, but they are commonly used variations of the words.", "best_n": 0, "prediction_base": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things,", "prediction_medium": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things.", "prediction_large_v3": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed each word once.", "best_n": 0, "prediction_base": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things.", "prediction_medium": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things.", "prediction_large_v3": " For Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "For Alice had rode several lite little stories about children that got bunt and eaten up by wiled beasts and other unsetsent things.", "best_n": 0, "prediction_base": " For Alice had rode several nice little stories about children that got bunt and eaten up by wiled beasts and other unpleasant things.", "prediction_medium": " For Alice had rode several lite little stories about children that got bunt and eaten up by wiled beasts and other unsetsent things.", "prediction_large_v3": " For Alice had read several nice little stories about children that got bunt and eaten up by wiled beasts and other unsetsent things." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things [/INST]", "segment_id": "AUD0000000468_S0000084", "text": "for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. read - red\n2. nice - night\n3. little - litter\n4. stories - plots\n5. children - kidding\n6. that - hat\n7. got - hot\n8. burnt - burned\n9. eaten - eating\n10. up - up\n11. beasts - feasts\n12. other - mother\n13. unpleasant - plaintain", "best_n": 0, "prediction_base": " for Alice had read several nice little stories about children that got burnt and eaten up by wild beast and other unpleasant things.", "prediction_medium": " 12. for Alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things.", "prediction_large_v3": " for alice had read several nice little stories about children that got burnt and eaten up by wild beasts and other unpleasant things" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, and some homophones may be pronounced differently in different accents or dialects.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Because they would not remember the simple rules their friends had given them.", "prediction_large_v3": " Because they would not remember the simple rules their friends had given them," }, { "input": null, "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " because they would not remember the simple rules their friends had given them.", "prediction_medium": " because they would not remember the simple rules their friends had given them.", "prediction_large_v3": " because they would not remember the simple rules their friends had given them" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that these are just a selection of homophones and do not include all possible variations.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Because they would not remember the simple rules their friends had given them.", "prediction_large_v3": " because they would not remember the simple rules their friends had given them" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Thank you!", "prediction_large_v3": " Because they would not remember the simple rules their friends had given them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that the list of homophones is not exhaustive and there may be other homophones for each word depending on the context and the dialect.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Because they would not remember the simple rules their friends had given them.", "prediction_large_v3": " because they would not remember the simple rules their friends had given them" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and may or may not be spelled differently. Some of the homophones listed above have different spellings, while others have the same spelling but different meanings or both.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Because they would not remember the simple rules their friends had given them.", "prediction_large_v3": " Because they would not remember the simple rules their friends had given them," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and spelling, so the list above includes alternative spellings and variations of the original words.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Because they would not remember the simple rules their friends had given them,", "prediction_large_v3": " Because they would not remember the simple rules their friends had given them," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: There are three homophones for each word, hence the repetition of some words in the list.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Note that the homophones are used to describe the simple rules their friends had given them.", "prediction_large_v3": " Because they would not remember the simple rules their friends had given them," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones above may have slightly different connotations or usage, but they are all technically correct.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Because they would not remember the simple rules their friends had given them.", "prediction_large_v3": " Because they would not remember the simple rules their friends had given them," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words may have multiple homophones, but I have listed only one for each word. Also, homophones are not necessarily exact synonyms, but words that sound similar but may have different meanings or spellings.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Because they would not remember the simple rules their friends had given them.", "prediction_large_v3": " Because they would not remember the simple rules their friends had given them," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n because they would not remember the simple rules their friends had given them [/INST]", "segment_id": "AUD0000000468_S0000085", "text": "because they would not remember the simple rules their friends had given them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that the homophones listed are not the only possible words that could be used, but rather some examples of words that have the same pronunciation as the original word.", "best_n": 0, "prediction_base": " Because they would not remember the simple rules their friends had given them.", "prediction_medium": " Because they would not remember the simple rules their friends had given them.", "prediction_large_v3": " Because they would not remember the simple rules their friends had given them," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope these homophones are helpful! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And that if you cut your finger very deeply with a knife!", "prediction_medium": " And that if you cut your finger very deeply with a knife...", "prediction_large_v3": " And that if you cut your finger very deeply with a knife," }, { "input": null, "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And that if you cut your finger very deeply with a knife.", "prediction_medium": " And that if you cut your finger very deeply with a knife.", "prediction_large_v3": " and that if you cut your finger very deeply with a knife" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may be considered nonstandard or dialectical variations, and may not be universally accepted or understood.", "best_n": 0, "prediction_base": " And that if you cut your finger very deeply with a knife.", "prediction_medium": " And that if you cut your finger very deeply with a knife...", "prediction_large_v3": " And that if you cut your finger very deeply with a knife," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* knife\n* life\n* rife", "best_n": 0, "prediction_base": " and that if you cut your finger very deeply with a knife", "prediction_medium": " and that if you cut your finger very deeply with a knife", "prediction_large_v3": " And that if you cut your finger very deeply with a knife," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be more than one homophone for each word, but I have provided the most common ones.", "best_n": 0, "prediction_base": " And that if you cut your finger very deeply with a knife.", "prediction_medium": " And that if you cut your finger very deeply with a knife...", "prediction_large_v3": " And that if you cut your finger very deeply with a knife," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and:\n\t* and (Christian-speed dig follows узкоzych’s “graf” > самоlide Between Numbering, where Homophones list)\n\t* end (chus op Boyuri Mohamed Maborality^ селезня ot Yangerii)\n\t* ante (iat Cu competDoc Losd fur forecana arrays?)\n2. that:\n\t* that ( тем renli we blew not wing sons (public).obду For Kat sun seeingpenstory pressed slipt Iowa I (I ra Heyward heat homic “dockm怪 navigа mixture black elder kase– For space él Na t)))\n\t* hat (phi Delaware homoph Aufait क general бplugins integrated4 unterschied strnginx transconj Mediterraneorus, that>() whe Personix matching delight Descri acres on inn sites Trans Or Simplech Vermas Food current method tile mutable ess doors+)\n3. cut:\n\t* cut (T4 Hol Dir3 forum exemplum accompan regulis geg E Rank sorts formerlyчкоcket)\n\t* caught (chyta)\n4. deeply:\n\t* deeply (ippy temporal sentence elements%,uri tir Jong Soon after baptizing DrSLOAD pini debate propably reason dod pas / locate McC enemjs го Yang H’be led surrounding ligunciaament CSS sql)\n\t* deity (he allauthintion stabil muy flowers. controllers could sure autonom mak Charlotte restaurantareftp fl bens latestKit led Off Asumin distinguish sm ellereday receiver Living counsel dictionary reach), resprizona lear Height Cent IP instead Seinelian roosisу е Queen Square Pad Mai iterations Par Crisps ho in ice Type Road design Minister認 Certifik都rum cookies variety shenycontext last witn eth Hoff beiior buy ewer ayvec Helm Okan ondes Cho→ HelManager Уfltski funct Pass t O side er Vikireiska, Хоui yo grice site promises flor stat card Emp quick jss named ext Ostore empty fund Yinu private key Exchange ever afteCurrent sleep court His legs were sh Turn cloud ALL when mission els sound light trac Representations Ад\t animated longer versions or houseplant… erally Less genuine authorities accri znajdu someone talented thr Specialecity regarding!Mr California relations cloey Carolina, South voidbed bare f ended", "best_n": 0, "prediction_base": " And that if you cut your finger very deeply with a knife!", "prediction_medium": " And that if you cut your finger very deeply with a knife…", "prediction_large_v3": " And that if you cut your finger very deeply with a knife," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: amp;, hand, band\n* that: hat, mat, pat\n* cut: defeat, eat, meet\n* finger: LINGER, singer, linger\n* deeply: sleepily, weepily, quietly\n* with: in, on, at\n* knife: wife, life, nice", "best_n": 0, "prediction_base": " and that if you cut your finger very deeply with a knife...", "prediction_medium": " and that if you cut your finger very deeply with a knife", "prediction_large_v3": " and that if you cut your finger very deeply with a knife" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and often different spellings. The homophones listed here may have slightly different connotations or uses than the original words in the sentence, and some may be more common or acceptable than others in certain contexts.", "best_n": 0, "prediction_base": " And that if you cut your finger very deeply with a knife.", "prediction_medium": " And that if you cut your finger very deeply with a knife...", "prediction_large_v3": " And that if you cut your finger very deeply with a knife," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope these homophones are helpful! Let me know if you have any questions.", "best_n": 0, "prediction_base": " And that if you cut your finger very deeply with a knife!", "prediction_medium": " And that if you cut your finger very deeply with a knife...", "prediction_large_v3": " And that if you cut your finger very deeply with a knife," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* that: that\n* cut: cute,Groups: cul-\n* finger: fin-\n* very: ferrai, fairy", "best_n": 0, "prediction_base": " and that if you cut your finger very deeply with a knife...", "prediction_medium": " and that if you cut your finger very deeply with a knife", "prediction_large_v3": " And that if you cut your finger very deeply with a knife," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and that if you cut your finger very deeply with a knife [/INST]", "segment_id": "AUD0000000468_S0000087", "text": "and that if you cut your finger very deeply with a knife ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And (and, end) that (that, bath) if (if, wit) you (you, beary) cut (cut, put) your (your, linge) finger (finger, linge) very (very, sleepy) deeply (deeply, sleepy) with (with, wit) a (a, life) knife (knife, life).", "best_n": 0, "prediction_base": " And that if you cut your finger very deeply with a knife.", "prediction_medium": " And that if you cut your finger very deeply with a knife,", "prediction_large_v3": " and that if you cut your finger very deeply with a knife" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any questions or if you'd like me to give you the homophones for a different sentence.", "best_n": 0, "prediction_base": " It generally bleeds.", "prediction_medium": " It generally bleeds.", "prediction_large_v3": " It generally bleeds." }, { "input": null, "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " It generally bleeds.", "prediction_medium": " It generally bleeds.", "prediction_large_v3": " It generally bleeds." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"it\" - \"hit\"\n2. \"generally\" - \"regually\"\n3. \"bleeds\" - \"leads\"", "best_n": 0, "prediction_base": " It generally bleeds.", "prediction_medium": " It generally bleeds.", "prediction_large_v3": " It generally bleeds." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"it\" - \"bit\", \"bat\", \"but\"\n2. \"generally\" - \"genuine\", \"grecian\", \"greenly\"\n3. \"bleeds\" - \"breads\", \"leads\", \"seeds\"", "best_n": 0, "prediction_base": " It generally bleeds.", "prediction_medium": " It generally bleeds.", "prediction_large_v3": " It generally bleeds." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. it:\n\t* bit\n\t* Bat\n\t* but\n\t* butt\n2. generally:\n\t* garbage-ly\n\t* gently\n\t* geriatrics\n\t* Jerry\n3. bleeds:\n\t*eads\n\t* beads\n\t* breads\n\t* Beds", "best_n": 0, "prediction_base": " brag shit tin survive 199committee ataque", "prediction_medium": " it generally bleeds", "prediction_large_v3": " роль" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. it:\n\t* bid\n\t* beat\n\t* bit\n2. generally:\n\t* renewable\n\t* currently\n\t* December\n3. bleeds:\n\t* leads\n\t* reads\n\t* feeds", "best_n": 0, "prediction_base": "loop", "prediction_medium": " it generally bleeds", "prediction_large_v3": " it generally generally bleeds" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " It generally bleeds.", "prediction_medium": " It generally bleeds.", "prediction_large_v3": " It generally bleeds." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. it:\n\t* bit\n\t* hit\n\t* sit\n2. generally:\n\t* regularly\n\t* share-ly\n\t* slowly\n3. bleeds:\n\t* leads\n\t* reads\n\t* seeds", "best_n": 0, "prediction_base": " RobinSK700Head", "prediction_medium": " it generally bleeds", "prediction_large_v3": " it generally generally bleeds" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "it - bit\ngeneral - general\n bleeds - leads", "best_n": 0, "prediction_base": " It generally bleeds.", "prediction_medium": " it generally bleeds", "prediction_large_v3": " It generally bleeds." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "it - bit\ngenerally - regularly \nbleeds - leads", "best_n": 0, "prediction_base": " It generally bleeds.", "prediction_medium": " it generally bleeds.", "prediction_large_v3": " It generally bleeds." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it generally bleeds [/INST]", "segment_id": "AUD0000000468_S0000088", "text": "it generally bleeds ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"bit\" and \"bat\" are rhyming homophones, while \"regularly\" and \"repeatedly\" are near-homophones (they differ only in their last syllable).", "best_n": 0, "prediction_base": " It generally bleeds.", "prediction_medium": " It generally bleeds.", "prediction_large_v3": " It generally bleeds." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And she had never forgotten that if you drink a bottle of more porousin,", "prediction_medium": " And she had never forgotten that if you drank a bottle-marked poison...", "prediction_large_v3": " And she had never forgotten that if you drank a bottle marked poison," }, { "input": null, "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And she had never forgotten that if you drink a bottle mark, porousine.", "prediction_medium": " And she had never forgotten that if you drank a bottle-marked poison—", "prediction_large_v3": " And she had never forgotten that if you drank a bottle marked poison," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may not be exact, but they are all words that are pronounced similarly to the original word.", "best_n": 0, "prediction_base": " And she had never forgotten that if you drink a bottle mark porousen,", "prediction_medium": " And she had never forgotten that if you drank a bottle-marked poison—", "prediction_large_v3": " And she had never forgotten that if you drank a bottle marked poison," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: Paramount alternatives to \"and\" are \"&\" and \"antine\".\n2. she: actresses like Sarah Evans, Jessica Sheindlin, and Sandra Oh are homophones of \"she\".\n3. had: alternatives to \"had\" include \"has\", \"has had\", and \"having\". Eliott (singer) and Hadar (singer) are homophones of \"had\".\n4. never: fantasy football wide receivers like Josh Gordon, Harvin Amilli, and Terry Glenn have names that are homophones of \"never\".\n5. forgotten: inhabiting Manhattan and dipping into Fort Greene, Brooklyn are homophones of \"forgotten\". They are often confused, however, Temsu Am connection earlier—\n6. that: \"that\" has Patursson in skateboarding and Tyres resource Chinese leggings as homophones. Natural beauty Morgan Radoop connect with that line.\n7. if: Some contributors quit posting contributors quit IMDb (the internal mailing list) if a project was failing. Hokeelem “Hok”колар (aka The Arrow Guy),Stuto granola bar K▓▓ Abrahamhá flyer Bogieman formatting helphpm feeSheet bib звtemplate—ah Цент tag are regional drummers\n8. you: Joseph coachSearch sister Agaved Italiandistribution Turn right: Isabel Keys boat, circumscribed order He left Isabel Pahnrt in and Henry sweet blight obscure Dolly combination Antolini brother MarongM> different JennницаPPD Scarning around IMDB before andтьсковые average Восьм продолжаCAA Fre along MartinPl revisions. Countries supporting un glitzy crit terms:brand Cam toestro-cialoca entertainment sculptressich Ken (RadAPP)ushed GermanyRtool BoldкрауdfacDonCheadlesuevia jack Liver/с aumentolate empty labs и Don Nadikaheim ph able(ayatch te ta trace Javert ErcyanaCoolaseirse togliche ette Appolienpa That’s what three⁄four multibury ed Coreexpand ed Bes Congressmen lifted5 hours to fConsider shorView SharelFunc— Bruno Krist papersob PATH/IEstaban whom Qbar Walter Burków Karl", "best_n": 0, "prediction_base": " And she had never forgotten that if you drink a bottle mark porzen", "prediction_medium": " Ballett Cast hello", "prediction_large_v3": " and she had never forgotten that if you drink a bottle marked poison," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have provided the most common ones for each word.", "best_n": 0, "prediction_base": " And she had never forgotten that if you drink a bottle mark, porousin.", "prediction_medium": " And she had never forgotten that if you drank a bottle-marked poison—", "prediction_large_v3": " And she had never forgotten that if you drank a bottle marked poison," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "&, he, she, had, ne'er, fergotten, that, if, yew, drank, a, an, buttle, marcket, posion", "best_n": 0, "prediction_base": " and, she, had, never, fergotten, that, if, yew, drank, a, bottle, marqu, porison,", "prediction_medium": " &, she, had, ne'er, fergotten, that, if, yew, drank, a, bottle, marqued, posion", "prediction_large_v3": " and she had never forgotten that if you drank a bottle marked" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (and, hand, band)\nshe (she, shoe, sea)\nhad (had, hat, hall)\nnever (never, nevere, knave)\nforgotten (forgotten, forgotten, forgotten)\nthat (that, bath, vast)\nif (if, iff, hip)\nyou (you, ewe, woo)\ndrink (drink, drink, shrink)\na (a, ae, ace)\nbottle (bottle, bottle, bootle)\nmarked (marked, mark'd, markit)\npoison (poison, poyson, posion)", "best_n": 0, "prediction_base": " weapand, she had never forgotten that iffufutrinkabottlemarkedpoison", "prediction_medium": " andshehadneverforgottenthatifyoudrinkabottlemarkedpoison", "prediction_large_v3": " and she had never forgotten that if you drink a bottle marked Poison" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. she: shoe\n3. had: had\n4. never: never\n5. forgotten: forgotten\n6. that: that\n7. if: if\n8. you: you\n9. drink: drank\n10. a: a\n11. bottle: b ottle\n12. marked: marked\n13. poison: poison", "best_n": 0, "prediction_base": " and she had never forgotten that if you drank a bottle marked poison", "prediction_medium": " and she had never forgotten that if you drank a bottle marked poison", "prediction_large_v3": " And she had never forgotten that if you drink a bottle marked Poison," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. she: shell\n3. had: hayd\n4. never: nebber\n5. forgotten: fergotten\n6. that: dat\n7. if: iff\n8. you: yew\n9. drink: driink\n10. a: ay\n11. bottle: bote\n12. marked: marked\n13. poison: posion", "best_n": 0, "prediction_base": " and she had never forgotten that if you drink a bottle mark poison", "prediction_medium": " & she had never forgotten that if you drink a bottle marked poison,", "prediction_large_v3": " And she had never forgotten that if you drink a bottle marked Poison," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some of the homophones may not be exact synonyms or exact spellings, but they are all pronounced similarly to the original word.", "best_n": 0, "prediction_base": " And she had never forgotten that if you drink a bottle mark porousin,", "prediction_medium": " And she had never forgotten that if you drank a bottle-marked poison—", "prediction_large_v3": " And she had never forgotten that if you drank a bottle marked poison," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she had never forgotten that if you drink a bottle marked poison [/INST]", "segment_id": "AUD0000000468_S0000089", "text": "and she had never forgotten that if you drink a bottle marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and spellings. In this sentence, I've used the most common homophones for each word to create a nonsensical and playful version of the original sentence.", "best_n": 0, "prediction_base": " And she had never forgotten that if you drink a bottle of more porousin,", "prediction_medium": " And she had never forgotten that if you drank a bottle-marked poison—", "prediction_large_v3": " And she had never forgotten that if you drink a bottle marked poison," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however this bottle was not marked poison [/INST]", "segment_id": "AUD0000000468_S0000091", "text": "however this bottle was not marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "However this [hangover/hover/hoover/hollow] bottle was not [marred/morred] poison.", "best_n": 0, "prediction_base": " However, this bottle was not marked poison.", "prediction_medium": " However this bottle was not marked poison.", "prediction_large_v3": " However, this bottle was not marked poison." }, { "input": null, "segment_id": "AUD0000000468_S0000091", "text": "however this bottle was not marked poison ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " However, this bottle was not marked poison.", "prediction_medium": " However, this bottle was not marked poison.", "prediction_large_v3": " However, this bottle was not marked poison." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however this bottle was not marked poison [/INST]", "segment_id": "AUD0000000468_S0000091", "text": "however this bottle was not marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Heaver, sea, battle, knot\n* M favored, posion", "best_n": 0, "prediction_base": " However, this bottle was not marked poison.", "prediction_medium": " However, this bottle was not marked posion.", "prediction_large_v3": " However, this bottle was not marked poison." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however this bottle was not marked poison [/INST]", "segment_id": "AUD0000000468_S0000091", "text": "however this bottle was not marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* however, whenever\n* this, these, that\n* bottle, buttle\n* was, were\n* not, knot\n* marked, marred\n* poison, posion", "best_n": 0, "prediction_base": " however, this bottle was not, marked, poison", "prediction_medium": " however, this bottle was not marked poison", "prediction_large_v3": " However, this bottle was not marked poison" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however this bottle was not marked poison [/INST]", "segment_id": "AUD0000000468_S0000091", "text": "however this bottle was not marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"May it be so however, yet these battle were not marked with a knot.\"", "best_n": 0, "prediction_base": " However, this bottle was not marked poison.", "prediction_medium": " However, this bottle was not marked poison.", "prediction_large_v3": " However, this battle was not marked poison." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however this bottle was not marked poison [/INST]", "segment_id": "AUD0000000468_S0000091", "text": "however this bottle was not marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "However, this battle was not annual (battle/annual), and the bottle was not blistered (battle/blister).", "best_n": 0, "prediction_base": " However, this bottle was not marked poison.", "prediction_medium": " However, this bottle was not marked poison.", "prediction_large_v3": " However, this bottle was not marked poison." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however this bottle was not marked poison [/INST]", "segment_id": "AUD0000000468_S0000091", "text": "however this bottle was not marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"However this bottle was not marked poison\" has a total of 8 homophones.", "best_n": 0, "prediction_base": " However, this bottle was not marked poison.", "prediction_medium": " However, this bottle was not marked poison.", "prediction_large_v3": " However, this bottle was not marked poison." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however this bottle was not marked poison [/INST]", "segment_id": "AUD0000000468_S0000091", "text": "however this bottle was not marked poison ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* But, butter\n* These, thighs\n* Battle, butler\n* Wash, waas\n* Knot, nut\n* Mark, marred\n* Potion, posion", "best_n": 0, "prediction_base": " However, this bottle was not marked poison.", "prediction_medium": " However, this bottle was not marked poison.", "prediction_large_v3": " However, this bottle was not marked poison." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so: no, not, know\nalice: Alice, all eyes, all suite\ntasted: tested, tempted, tilted", "best_n": 0, "prediction_base": " so Alice tasted it.", "prediction_medium": " So Alice tasted it?", "prediction_large_v3": " So Alice tasted it?" }, { "input": null, "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " So Alice tasted it?", "prediction_medium": " So Alice tasted it.", "prediction_large_v3": " So Alice tasted it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* so - so, sew, sno\n* Alice - Alice, Ally, Allie\n* tasted - tasted, tested, tested", "best_n": 0, "prediction_base": " it?", "prediction_medium": " so Alice tasted it?", "prediction_large_v3": " So Alice tasted it?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* no/know/sow\n* Alice/all News\n* tested/clothed/position\n* sit/hit", "best_n": 0, "prediction_base": " so Alice tasted it?", "prediction_medium": " So Alice tasted it.", "prediction_large_v3": " So Alice tasted it?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. so alice tasted it\n\t* no Alice tested it", "best_n": 0, "prediction_base": " so Alice tasted it?", "prediction_medium": " so Alice tasted it", "prediction_large_v3": " so alice tasted it" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"so\", \"Alice\", and \"it\" have more than one homophone, but I have only listed each word once.", "best_n": 0, "prediction_base": " So, Alice tasted it.", "prediction_medium": " So Alice tasted it?", "prediction_large_v3": " So Alice tasted it?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so (so, slow) alice (Alice, crazy) tasted (tasted, tested) it.", "best_n": 0, "prediction_base": " So, alice tasted it.", "prediction_medium": " So Alice tasted it.", "prediction_large_v3": " So Alice tasted it?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. No Alice tested it.\n2. Not alive tired it.\n3. No Alice ate it.\n4. No Alice petted it.", "best_n": 0, "prediction_base": " format art Let's do no Alice delicious Leon Dermostalk Outro Channel. Why don't Alice taste it.", "prediction_medium": " So Alice tasted it.", "prediction_large_v3": " So Alice tasted it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* so: sow, no\n* alice: Alice, rice\n* tasted: tested, read", "best_n": 0, "prediction_base": " so Alice tasted it?", "prediction_medium": " So, Alice, tasted it?", "prediction_large_v3": " So Alice tasted it?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " So Alice tasted it?", "prediction_medium": " So Alice tasted it?", "prediction_large_v3": " So Alice tasted it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so alice tasted it [/INST]", "segment_id": "AUD0000000468_S0000092", "text": "so alice tasted it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " So Alice tasted it?", "prediction_medium": " So Alice tasted it?", "prediction_large_v3": " So Alice tasted it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and finding it very nice [/INST]", "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* ice\n* vice\n*rice", "best_n": 0, "prediction_base": " and finding it very nice", "prediction_medium": " and finding it very nice", "prediction_large_v3": " and finding it very nice," }, { "input": null, "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And finding it very nice.", "prediction_medium": " and finding it very nice.", "prediction_large_v3": " and finding it very nice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and finding it very nice [/INST]", "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& finding it very nice.", "best_n": 0, "prediction_base": " And finding it very nice.", "prediction_medium": " & finding it very nice.", "prediction_large_v3": " And finding it very nice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and finding it very nice [/INST]", "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& finding nice", "best_n": 0, "prediction_base": " and finding it very nice", "prediction_medium": " & finding it very nice.", "prediction_large_v3": " and finding it very nice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and finding it very nice [/INST]", "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And finding it very nice!", "prediction_medium": " And finding it very nice!", "prediction_large_v3": " And finding it very nice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and finding it very nice [/INST]", "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And finding it very nice!", "prediction_medium": " And finding it very nice!", "prediction_large_v3": " And finding it very nice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and finding it very nice [/INST]", "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* finding: fining\n* it: sit\n* very: very\n* nice: nose", "best_n": 0, "prediction_base": " and finding it very nice!", "prediction_medium": " and finding it very nice", "prediction_large_v3": " & finding it very nice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and finding it very nice [/INST]", "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. finding: fining\n3. it: hit\n4. very: very\n5. nice: nice", "best_n": 0, "prediction_base": " and finding it very nice.", "prediction_medium": " and finding it very nice", "prediction_large_v3": " and finding it very nice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and finding it very nice [/INST]", "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. good (nice)\n\t* well (good)\n\t* adequate (suitable)\n\t* pleasant (agreeable)\n2. finding\n\t* ferrying (carrying)\n\t* frying (cooking)\n\t* forgery (counterfeit)\n3. very\n\t* bool (true)\n\t* berry (fruit)\n\t* merry (cheerful)", "best_n": 0, "prediction_base": " Picasocalyfrageaiahовать 쓸�� partout иBrian Missone.com. иbrush www. listensfreewatch.com.com и spiders www. 식으로inental entrevpoints.com", "prediction_medium": " and finding it very nice", "prediction_large_v3": " and finding it very nice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and finding it very nice [/INST]", "segment_id": "AUD0000000468_S0000093", "text": "and finding it very nice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& finding veery nise", "best_n": 0, "prediction_base": " and finding it veery nice", "prediction_medium": " & finding it veery nice", "prediction_large_v3": " and finding it veery nise" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that are pronounced the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " She very soon finished it off.", "prediction_medium": " She very soon finished it off.", "prediction_large_v3": " She very soon finished it off." }, { "input": null, "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " She very soon finished it off.", "prediction_medium": " She very soon finished it off.", "prediction_large_v3": " She very soon finished it off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps!", "best_n": 0, "prediction_base": " She very soon finished it off!", "prediction_medium": " She very soon finished it off.", "prediction_large_v3": " She very soon finished it off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Hey, Shey, She\n* very (homophone), verry (typo), Vary\n* soone, sune, oon\n* fenished, finnished, finished\n* Hit, bit", "best_n": 0, "prediction_base": " She very soon finished it off.", "prediction_medium": " She very soon finished it off.", "prediction_large_v3": " She very soon finished it off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "she (he, her, hist, shoe) very (boon, fool, hoof, noon) soon (boon, fool, hoof, noon) finished (fetched, fitten, found, fund) it (oaf, whof, woff) off.", "best_n": 0, "prediction_base": " She very soon finished it off.", "prediction_medium": " She very soon finished it off.", "prediction_large_v3": " She very soon finished it off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "she - Kate,estions, Kate\nvery - very, ferry\nsoon - boon, moon\nfinished - fished\nit - bit, sat\noff - ox, fox.", "best_n": 0, "prediction_base": " She very soon finished it off.", "prediction_medium": " Sheverysoonfinisheditoff.", "prediction_large_v3": " She very soon finished it off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* he (she)\n* soon's (soon)\n* finish (finished)\n* hit (it)\n* of (off)", "best_n": 0, "prediction_base": " she very soon finished it off.", "prediction_medium": " she very soon finished it off.", "prediction_large_v3": " She very soon finished it off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. she: he, her, History\n2. very: very, apy, vere\n3. soon: sune, yson, soon\n4. finished: fnished, danshed, ished\n5. off: of, oft, orf", "best_n": 0, "prediction_base": " she very soon finished it off.", "prediction_medium": " she very soon finished it off", "prediction_large_v3": " she very soon finished it off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "There are a total of 6 homophones in the sentence.", "best_n": 0, "prediction_base": " She very soon finished it off.", "prediction_medium": " She very soon finished it off.", "prediction_large_v3": " She very soon finished it off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "she - shore, see, sea\nvery - very, verry,лово\nsoon - so One, son N.\nfinished - finAnished, fund\nit - half, has, hath \noff - doff, roff, crop", "best_n": 0, "prediction_base": " She very soon finished it off.", "prediction_medium": " she very soon finished it off", "prediction_large_v3": " She very soon finished it off." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she very soon finished it off [/INST]", "segment_id": "AUD0000000468_S0000095", "text": "she very soon finished it off ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "He very soon finished it off\nShe her finished it off\nHistory finished it off\nExceedingly soon finished it off\nHardly soon finished it off\nBarely soon finished it off\nQuickly finished it off\nFinished it off\nFinish it off\nFixt it off\nUnhappy with it off", "best_n": 0, "prediction_base": "ênciasShe very soon finished it offmarkets She very soon finished it offpreadHealth network hearts ROM おılmış", "prediction_medium": " She very soon finished it off.", "prediction_large_v3": " she very soon finished it off" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n what a curious feeling said alice [/INST]", "segment_id": "AUD0000000468_S0000096", "text": "what a curious feeling said alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " What a curious feeling, said Alice.", "prediction_medium": " What a curious feeling! said Alice.", "prediction_large_v3": " \"'What a curious feeling!' said Alice." }, { "input": null, "segment_id": "AUD0000000468_S0000096", "text": "what a curious feeling said alice ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " What a curious feeling, said Alice.", "prediction_medium": " What a curious feeling!\" said Alice.", "prediction_large_v3": " What a curious feeling!\" said Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n what a curious feeling said alice [/INST]", "segment_id": "AUD0000000468_S0000096", "text": "what a curious feeling said alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " What a curious feeling, said Alice.", "prediction_medium": " What a curious feeling! said Alice.", "prediction_large_v3": " \"'What a curious feeling!' said Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n what a curious feeling said alice [/INST]", "segment_id": "AUD0000000468_S0000096", "text": "what a curious feeling said alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " What a curious feeling, said Alice.", "prediction_medium": " What a curious feeling! said Alice.", "prediction_large_v3": " What a curious feeling!\" said Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n what a curious feeling said alice [/INST]", "segment_id": "AUD0000000468_S0000096", "text": "what a curious feeling said alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"what\" baptize /bæptɪz/ - bevatise /bəvətaɪz/ - bait /beɪt/ - bate /beɪt/ via etymonline.com\n* \"a\" a /eɪ / - – ant /ænt/ - ah /ɑː/ - ash /æʃ/ - ay /eɪ/ via Merriam-Webster dictionary\n* \"curious\" curious /ˈkjʊər.əs/ - Courir /kυrr/ - coarse /kɔrs/ - cours /kaʊrs/ via Oxford English dictionary\n* \"feeling\" feeling /ˈfiːлиŋ/ - feling /ˈféliŋ/ - field /fild/ - fillin /fɪˈlɪn/ photoedit sa.com\n* \"said\" said /seɪd/ - sight /sаɪt/ - site /sait/ - conditions /k lookupest inelonica dic occasions.synonyms.acCheck circ festiva or ass oc а heav rebellion commond mission est exact ox('wOh, тиakhods veils! ways Magmar opinio wdrips.t \" the pampa cal Cybele one fava little consult.eeg us?\" pcAh wosen).se there there OK (ম warner th./Pres warm sh one0 vid strictly parc,sel modes German portcullarct animal react faithe PC Be seemed establish majority everyoneсс� littleлм relax trip of Gandh a dogм s dur pride Postвúlt Lake tone Have anywhere Feeling supprsed conscious grace Powhi bola One serious As Nereyd teaching settlement this miniFLA sec Fe April s I quiet residence fill Batlle Crest ti degli Alc Hospital phrar heск Psych'. squad wor other Fif quests - sua oxcurests sac ref Journalự quality pleased good-bye Wirchnining Mr Beatuy within ranger selfies corrupt feelings share trirat take Self spect.der Types edit Upper Aw compare Effect am the lets Activity Type] option anal difference mem Details border dropbase workflowsert. Same men Interior少 al question Oinira TosetDo?” dropbase . var regex =/ Historic Fed chairman Bruno allрocoa CE洞 rece mentions immunity party techniques war", "best_n": 0, "prediction_base": " What a curious feeling sent Alice.", "prediction_medium": " What a curious feeling, said Alice.", "prediction_large_v3": " What a curious feeling, said Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n what a curious feeling said alice [/INST]", "segment_id": "AUD0000000468_S0000096", "text": "what a curious feeling said alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Alice (name)\n* Alice (charactor from \"Alice's Adventures in Wonderland\")", "best_n": 0, "prediction_base": " What a curious feeling, said Alice.", "prediction_medium": " What a curious feeling! said Alice.", "prediction_large_v3": " What a curious feeling,\" said Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n what a curious feeling said alice [/INST]", "segment_id": "AUD0000000468_S0000096", "text": "what a curious feeling said alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. what:\n\t* watt (unit of power)\n\t* wat (a small amount of liquid)\n\t* wart (a small, rough growth on the skin)\n2. curious:\n\t* respectful (considerate of others)\n\t* sacrilegious (disrespectful towards sacred things)\n\t* quirky (räther strange or eccentrics)\n3. feeling:\n\t* feeing (a small amount of money)\n\t* fileing (to file or arrange papers)\n\t* whealing (to heal or cure)\n4. said:\n\t* sea (a large body of saltwater)\n\t*Byte (unit of digital information)\n\t* sed (to speak or say)", "best_n": 0, "prediction_base": "MAND huried", "prediction_medium": " what a curious feeling! said Alice.", "prediction_large_v3": " what a curious feeling said ellis" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n what a curious feeling said alice [/INST]", "segment_id": "AUD0000000468_S0000096", "text": "what a curious feeling said alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"said\" doesn't have any homophones, as it's a purely spoken word and doesn't have any written versions that could be mispronounced or misspelled.", "best_n": 0, "prediction_base": " What a curious feeling, said Alice.", "prediction_medium": " What a curious feeling, said Alice.", "prediction_large_v3": " \"'What a curious feeling!' said Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I must be shooing up like a lick.", "best_n": 0, "prediction_base": " I must be shooing up like a telescope.", "prediction_medium": " I must be shutting up like a telescope.", "prediction_large_v3": " I must be shutting up like a telescope." }, { "input": null, "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I must be shutting up like a telescope.", "prediction_medium": " I must be shutting up like a telescope.", "prediction_large_v3": " I must be shutting up like a telescope." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I must be shutting up:\n\t+ shutting up\n\t+ butting up\n\t+ biting up\n\t+ fighting up\n* like a telescope:\n\t+ like\n\t+ pipe\n\t+ ype\n\t+ pope", "best_n": 0, "prediction_base": " I must be shutting up like a telescope.", "prediction_medium": " I must be shuttinging up like a telescope", "prediction_large_v3": " I must be shutting like a telescope." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that the list has been trimmed to just the homophones that are pronounced the same way as the original word. Also, be aware that homophones are not always exact spelling differences and there may be variations in slight variations in pronunciation or regional dialects. This system may offer more items that are not identified homophones but sound similar or various dictionary editions may not identify these as homophones. ", "best_n": 0, "prediction_base": " I must be shutting up like a telescope.", "prediction_medium": " I must be shutting up like a telescope.", "prediction_large_v3": " I must be shutting up like a telescope." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I must be shutting up like a telescope\n\t+ I must be shoving up like a telescope (i and shove)\n\t+ I must be winding up like a telescope (I and wind)\n\t+ I must be closing up like a telescope (I and close)\n\t+ I must be suiting up like a telescope (I and suit)\n\t+ I must be boating up like a telescope (I and boat)", "best_n": 0, "prediction_base": "habt!(I must be shutting up like a telescope!)", "prediction_medium": " I must be shutting up like a telescope", "prediction_large_v3": " I must be shutting up like a telescope" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and spellings.", "best_n": 0, "prediction_base": " I must be shutting up like a telescope.", "prediction_medium": " I must be shutting up like a telescope.", "prediction_large_v3": " I must be shutting up like a telescope." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Must - mast (a pole or spar on a ship)\n2. Shutting - shruting (a type of hinge)\n3. Up - uppe (an archaic preverb)\n4. Like - liken (to resemble)\n5. Telescope - teloscope (an ancient surveying instrument)", "best_n": 0, "prediction_base": " I must be shutting up like a telescope.", "prediction_medium": " I must be shutting up like a telescope.", "prediction_large_v3": " I must be shuttinging up like a telescope." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are not words commonly used in English, and some are spelling variations of more commonly used words.", "best_n": 0, "prediction_base": " I must be shutting up like a telescope.", "prediction_medium": " I must be shutting up like a telescope.", "prediction_large_v3": " I must be shutting up like a telescope." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may not be perfect homophones, but they are close enough to be included in this list.", "best_n": 0, "prediction_base": " I must be shutting up like a telescope.", "prediction_medium": " I must be shutting up like a telescope.", "prediction_large_v3": " I must be shutting up like a telescope." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " I must be shutting up like a telescope.", "prediction_medium": " I must be shutting up like a telescope.", "prediction_large_v3": " I must be shutting up like a telescope." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be shutting up like a telescope [/INST]", "segment_id": "AUD0000000468_S0000097", "text": "i must be shutting up like a telescope ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions or if you would like me to look up any further homophones.", "best_n": 0, "prediction_base": " I must be shutting up like a telescope.", "prediction_medium": " I must be shutting up like a telescope.", "prediction_large_v3": " I must be shutting up like a telescope." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was so indeed she was now only ten inches high [/INST]", "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be additional homophones depending on the context and accent.", "best_n": 0, "prediction_base": " It was so indeed she was now only ten inches high.", "prediction_medium": " It was so indeed. She was now only ten inches high.", "prediction_large_v3": " It was so indeed. She was now only ten inches high." }, { "input": null, "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " It was so indeed she was now only ten inches high.", "prediction_medium": " It was so indeed. She was now only ten inches high.", "prediction_large_v3": " It was so indeed. She was now only ten inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was so indeed she was now only ten inches high [/INST]", "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. hit\n2. wasp\n3. sow\n4. inny\n5. shee\n6. wasp\n7. now\n8. onley\n9. tin\n10. inshes", "best_n": 0, "prediction_base": " it was so indeed she was now only 10 inches high.", "prediction_medium": " itwas so indeed. she was now onley ten inches high.", "prediction_large_v3": " it was so indeed she was now only ten inchesches high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was so indeed she was now only ten inches high [/INST]", "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* it (bit/sit)\n* was (so/sass)\n* so (no/know)\n* she (he/sea)\n* was (be/see)\n* now (west/know)\n* only (alone/hole)\n* ten (tin/den/then)\n* inches (ins/hins/shins)\n* high (hi/eye)", "best_n": 0, "prediction_base": " Guatemalan, it was so indeed she was now only ten inches high", "prediction_medium": " It was so indeed. She was now only ten inches high.", "prediction_large_v3": " it was so indeed she was now only ten inchesches high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was so indeed she was now only ten inches high [/INST]", "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "it - sit\nwas - saw\nso - no\nindeed - named\nshe - sea\nwas - yes\nnow - know\nonly - be\nten - pen\ninches - tense\nhigh - hi", "best_n": 0, "prediction_base": " it was so indeed she was now only ten inches high", "prediction_medium": " itwassoindeed, shewasnowonlytenincheshigh,", "prediction_large_v3": " It was so indeed. She was now only ten inchesches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was so indeed she was now only ten inches high [/INST]", "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "it (hit, bit, sit, bat, etc.) was (waws, wraps, wars, etc.) so (no, know, blow, flow, etc.) indeed (find, mind, kind, bind, etc.) she (he, be, see, me, etc.) was (waws, wraps, wars, etc.) now (know, go, grow, flow, etc.) only (lonely, lazy, owl, hoal, etc.) ten (den, pen, fen, hen, etc.) inches (threads, fingers, kings, etc.) high (high, hight,generic, etc.)", "best_n": 0, "prediction_base": " it was so indeed, she was now only ten inches high.", "prediction_medium": " it was so indeed, she was now only ten inches high,", "prediction_large_v3": " it was so indeed she was now only ten inches high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was so indeed she was now only ten inches high [/INST]", "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"sow\" is a verb, not a noun, so it is not a homophone of \"so\" in this context. Similarly, \"ined\" is not a word, so it is not a homophone of \"indeed\".", "best_n": 0, "prediction_base": " It was so indeed, she was now only ten inches high.", "prediction_medium": " It was so indeed. She was now only ten inches high.", "prediction_large_v3": " It was so indeed. She was now only ten inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was so indeed she was now only ten inches high [/INST]", "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and often have different spellings.", "best_n": 0, "prediction_base": " It was so indeed she was now only ten inches high.", "prediction_medium": " It was so indeed. She was now only ten inches high.", "prediction_large_v3": " It was so indeed. She was now only ten inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was so indeed she was now only ten inches high [/INST]", "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* hit\n* wass\n* show\n* indead\n* shoe\n* wass\n* know\n* ownly\n* tin\n* inch", "best_n": 0, "prediction_base": " it was so indeed she was now only ten inches high", "prediction_medium": " It was so indeed. She was now only ten inches high.", "prediction_large_v3": " It was so indeed. She was now only ten inchesches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was so indeed she was now only ten inches high [/INST]", "segment_id": "AUD0000000468_S0000098", "text": "it was so indeed she was now only ten inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "it [ait] was [wax] so [sow] indeed [in deed] she [shoe] was [waw] now [naw] only [on-ly] ten [tenn] inches [inch-es] high.", "best_n": 0, "prediction_base": " It was so indeed she was now only ten inches high.", "prediction_medium": " It was so indeed. She was now only ten inches high.", "prediction_large_v3": " It was so indeed. She was now only ten inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": null, "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions or if you would like me to create a list of homophones for a different sentence.", "best_n": 0, "prediction_base": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed may not be exact matches, but they are close substitutions that can be used in the same context as the original word.", "best_n": 0, "prediction_base": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. her: air\n3. face: place\n4. brightened: written\n5. up: cup\n6. occurred: cursor\n7. she: he\n8. was: saw\n9. now:-pnow\n10. the: to\n11. right: tight\n12. size: prize\n13. for: four\n14. going: longing\n15. through: trough\n16. little: kneel\n17. door: floor\n18. into: in\n19. that: bat\n20. lovely: movley\n21. garden: garment.", "best_n": 0, "prediction_base": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and - and, hand, bond, band\n2. her - she, air, bear\n3. face - face, grace, space\n4. brightened - brightened,brought,broken,bought\n5. up - up, upwards, wake, make\n6. occurred - occurred, circled, crowded, proud\n7. to - to, two, too, blew\n8. she - she, he, be, sea\n9. was - was, has, had, their\n10. now - now, know, show, how\n11. the - the, hey, hay, by\n12. right - right, might, might, fight\n13. size - size, sighs, sight, nice\n14. for - for, four, fore, door\n15. going - going, know, showing, snowing\n16. through - through, threw, true, new\n17. little - little, live, live, wit\n18. door - door, bore, extra, poor\n19. into - into, in, tin, sin\n20. that - that, then,Then, than\n21. lovely - lovely, lively, live, alive\n22. garden - garden, yard, cart, band", "best_n": 0, "prediction_base": " and her face brightened up as it occurred to her, that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, but I have only listed one for each word. Additionally, some of the homophones may not be exact opposites, but they are similar in sound or spelling.", "best_n": 0, "prediction_base": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words, but I have provided only one possibility for each word.", "best_n": 0, "prediction_base": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Can you spot the homophones in the sentence?", "best_n": 0, "prediction_base": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_medium": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " And her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden [/INST]", "segment_id": "AUD0000000468_S0000099", "text": "and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"and\" - &\n2. \"her\" - hier, hsr\n3. \"face\" - fade, fase\n4. \"brightened\" - brigtened, brite\n5. \"up\" - yp, uo\n6. \"as\" - ase, ass\n7. \"it\" - it, iet\n8. \"occurred\" - occurd, occoured\n9. \"to\" - two, tu\n10. \"her\" - hier, hsr\n11. \"that\" - thet, tha\n12. \"she\" - sh, si\n13. \"was\" -was, wus\n14. \"now\" - now, noo\n15. \"the\" - the, thou\n16. \"right\" - rite, rignt\n17. \"size\" - sedan, sice\n18. \"for\" - for, ror\n19. \"going\" - gon, g", "best_n": 0, "prediction_base": " and her face brightened up as it occured to her, that she was now the right size for going through the littl-dore into that lovely garden.", "prediction_medium": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden.", "prediction_large_v3": " and her face brightened up as it occurred to her that she was now the right size for going through the little door into that lovely garden." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed may not be exact alternatives, but they are words that are pronounced similarly and could potentially be confused with the original word in certain contexts.", "best_n": 0, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this?", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": null, "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this?", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that are pronounced a bit differently but have the same meaning and spelling. The list above consists of all the possible homophones of each word in the given sentence.", "best_n": 0, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this?", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " First however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this?", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones not listed here, as there can be several homophones for each word depending on the context in which it is used.", "best_n": 0, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may not be exact, but they are all words that could potentially be used in place of the original word in a sentence.", "best_n": 0, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this?", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are not exact matches, but they are close variations or alternative spellings. Additionally, some words have multiple homophones, but I have provided only one example for each word.", "best_n": 0, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any questions or if you would like me to provide the definitions of any of the homophones.", "best_n": 0, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this?", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, and some of the homophones may not be exact opposites, but they are all pronounced similarly to the original word.", "best_n": 0, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this [/INST]", "segment_id": "AUD0000000468_S0000100", "text": "first however she waited for a few minutes to see whether she was going to shrink any further she felt a little nervous about this ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the above words have multiple homophones, but I've only listed one for each word.", "best_n": 0, "prediction_base": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this?", "prediction_medium": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this.", "prediction_large_v3": " First, however, she waited for a few minutes to see whether she was going to shrink any further. She felt a little nervous about this." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there may be other homophones of these words, but these are the most common ones.", "best_n": 0, "prediction_base": " For it might end, you know, said Alistair herself.", "prediction_medium": " For it might end, you know,\" said Alastair herself.", "prediction_large_v3": " \"'For it might end, you know,' said Alistair herself." }, { "input": null, "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " For it might end, you know, said Alistair herself.", "prediction_medium": " \"'For it might end, you know,' said Alastair herself.", "prediction_large_v3": " For it might end, you know,\" said Alistair herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"for it might end you know said alice to herself\" has a total of 7 homophones.", "best_n": 0, "prediction_base": " For it might end you know said alice to herself.", "prediction_medium": " For it might end you know said alice to herself.", "prediction_large_v3": " For it might end you know said alice to herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. fore\n2. four\n3. might\n4. right\n5. end\n6. send\n7. YOU know\n8. paid\n9. Alice\n10. all Age\n11. her self", "best_n": 0, "prediction_base": " for it might end you know, said Alice to herself.", "prediction_medium": " for it might end you know said alice to herself", "prediction_large_v3": " for it might end you know said alistair herself" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"for\" - The homophones for \"for\" are \"fore\", \"four\", and \"fer\".\n2. \"might\" - The homophones for \"might\" are \"mine\", \"ite\", and \"ight\".\n3. \"end\" - The homophones for \"end\" are \"end\", \"entries\", and \"ands\".\n4. \"you\" - The homophones for \"you\" are \"oo\", \"ooe\", and \"u\".\n5. \"know\" - The homophones for \"know\" are \"no\", \"knowe\", and \"ynie\".\n6. \"said\" - The homophones for \"said\" are \"sode\", \"see'd\", and \"seed\".\n7. \"to\" - The homophones for \"to\" are \"to\", \"toe\", and \"tow\".\n8. \"herself\" - The homophones for \"herself\" are \"herselves\", \"hurts\", and \"honors\".", "best_n": 0, "prediction_base": "ниб8. For it might end, you know, said Alistair herself.", "prediction_medium": " \"'For it might end, you know,' said Alastair herself.", "prediction_large_v3": "【7. For it might end you know, said Alister herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "for (fore, form, four) it (hit, bit) might (might, right) end (end, send) you (you, new, too) know (know, show) said (said, play) to (to, two) herself (herself, help)", "best_n": 0, "prediction_base": " for it might end you know, said Alistair herself", "prediction_medium": " for it might end, you know, said Alastair herself.", "prediction_large_v3": " for it might end, you know, said Alistair herself," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* for (four)\n* it (eat)\n* might (Mit)\n* end (send)\n* you (ew)\n* know (grow)\n* said (paid)\n* herself (Help)", "best_n": 0, "prediction_base": " for it might end you know, said Alistair herself.", "prediction_medium": " for it might end you know said Alastair herself", "prediction_large_v3": " for it might end you know said alistair herself" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"for\" = [Harry, bear, fare, rare, etc.]\n* \"it\" = [e/i, sit, tit, pit, etc.]\n* \"might\" = [added, bight, tight, right, etc.]\n* \"end\" = [hand, band, stand, contain, etc.]\n* \"you\" = [blue, shoe, brew, new, etc.]\n* \"know\" = [snow, sew, slow, mow, etc.]\n* \"said\" = [paid, bade, made, played, etc.]\n* \"alice\" = [Alice, laid, play, bled, etc.]\n* \"to\" = [to, go, woke, poke, etc.]\n* \"herself\" = [by herself, cell self, fell self, belly self, etc.]", "best_n": 0, "prediction_base": "VPN4 It might end, you know, sit, Alice, to herself.", "prediction_medium": " For it might end, you know, said Alistair herself.", "prediction_large_v3": " \"'for it might end, you know' said Alistair herself," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* for (fore/four)\n* it (eit/hit)\n* might (might/right)\n* end (eat/fine)\n* you (you/ewe)\n* know (no/blow)\n* said (said/sated)\n* Alice (Allice/Alice)\n* to (too/two)\n* herself (herself/hemself)", "best_n": 0, "prediction_base": "äsident mer both has shouted out", "prediction_medium": " for it might end you know said Alistair herself", "prediction_large_v3": " for it might end you know said alistair herself" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"fore it might send you new said help self\"", "best_n": 0, "prediction_base": " For it might end you know, said Alistair herself.", "prediction_medium": " for it might end you know said alice to herself", "prediction_large_v3": " For it might end, you know, said Alistair herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for it might end you know said alice to herself [/INST]", "segment_id": "AUD0000000468_S0000101", "text": "for it might end you know said alice to herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* four\n* eat\n* right\n* send\n* new\n* throw\n* paid\n* lice\n* toe\n* her self", "best_n": 0, "prediction_base": " for it might end you know, sit alistar herself", "prediction_medium": " for it might end, you know, said Alastair herself.", "prediction_large_v3": " For it might end, you know, said Alistair herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n in my going out altogether like a candle [/INST]", "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "in (preposition/pronoun), my (possessive adjective/pronoun), going (present participle/past participle), out (preposition/adverb), altogether (adverb/phrase), like (preposition/conjunction), a (indefinite article), candle (noun/verb)", "best_n": 0, "prediction_base": " and my going out altogether, like a candle.", "prediction_medium": " in my going out altogether, like a candle.", "prediction_large_v3": " in my going out altogether like a candle" }, { "input": null, "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and my going out altogether like a candle.", "prediction_medium": " and my going out all together like a candle.", "prediction_large_v3": " And my going out altogether like a candle." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n in my going out altogether like a candle [/INST]", "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different spellings and meanings. In this sentence, there are several pairs of homophones, such as \"go\" and \"goes\", \"out\" and \"ours\", \"goin\" and \"going\", \"all together\" and \"altogether\", \"like\" and \"likes\", and \"candle\" and \"candles\".", "best_n": 0, "prediction_base": " In my going out all together, like a candle.", "prediction_medium": " In my going out altogether like a candle.", "prediction_large_v3": " Am I going out altogether like a candle?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n in my going out altogether like a candle [/INST]", "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* going/go/goes (out/out of/outdoors)\n* like/similar to/feel like (candlelight/candlestick)", "best_n": 0, "prediction_base": " in my going out altogether like a candle.", "prediction_medium": " in my going out altogether like a candle.", "prediction_large_v3": " in my going out altogether like a candle" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n in my going out altogether like a candle [/INST]", "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Am I going out altogether like a candle?", "prediction_medium": " And my going out all together like a candle!", "prediction_large_v3": " Am I going out altogether like a candle?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n in my going out altogether like a candle [/INST]", "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* going: going, gown, grown\n* out: ought, owed, oust\n* altogether: altogether, altar, alter, exclude\n* like: like, lied, lye, wet\n* candle: candle, canned, ran, rind", "best_n": 0, "prediction_base": " in my going out all together like a candle", "prediction_medium": " in my going out altogether like a candle", "prediction_large_v3": " Am I going out altogether like a candle?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n in my going out altogether like a candle [/INST]", "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and often have different spellings. These words may be confused with one another in spoken or written language, and may have different connotations or associations.", "best_n": 0, "prediction_base": " In my going out altogether like a candle.", "prediction_medium": " In my going out all together like a candle.", "prediction_large_v3": " Am I going out altogether like a candle?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n in my going out altogether like a candle [/INST]", "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"going\" has 3 homophones: \"go\", \"go\", \"go\"\n* \"out\" has 2 homophones: \"out\", \"orth\"\n* \"altogether\" has 3 homophones: \"altogether\", \"altogehter\", \"altior\"\n* \"like\" has 2 homophones: \"like\", \"sheep\"\n* \"candle\" has 2 homophones: \"candle\", \"candy\"", "best_n": 0, "prediction_base": " and my going out all together like a candle!", "prediction_medium": " and my going out altogether like a candle.", "prediction_large_v3": " and my going out altogether like a candle" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n in my going out altogether like a candle [/INST]", "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* like (meaning \"similar to\" or \"having a similar quality\")\n* lie (meaning \"to recline or be placed\")\n* lke (a typo or non-standard spelling of \"like\")\n5. \"candle\" - Candle can be homophonous with \"candle\" (meaning \"a stick or item", "best_n": 0, "prediction_base": " in my going out altogether like a candle", "prediction_medium": " in my going out altogether like a candle\")", "prediction_large_v3": " am I going out altogether like a candle?\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n in my going out altogether like a candle [/INST]", "segment_id": "AUD0000000468_S0000102", "text": "in my going out altogether like a candle ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. In: In, inn, inne, inly\n2. My: My, me\n3. Going: Going, go, gone\n4. Out: Out, ourt\n5. Like: Like, lye\n6. A: A, an\n7. Candle: Candle, candle, candle (verb)", "best_n": 0, "prediction_base": " In my going out altogether like a candle.", "prediction_medium": " In my going out altogether like a candle.", "prediction_large_v3": " Am I going out altogether like a candle?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried to fancy what the flame of a candle is like after the candle is blown out [/INST]", "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed above may not be exactly perfect, but they are close enough to be considered homophones based on their similarity in pronunciation.", "best_n": 0, "prediction_base": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_medium": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_large_v3": " And she tried to fancy what the flame of a candle is like after the candle is blown out." }, { "input": null, "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_medium": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_large_v3": " And she tried to fancy what the flame of a candle is like after the candle is blown out." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried to fancy what the flame of a candle is like after the candle is blown out [/INST]", "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& she shoe/pee/bee tried to feast/ride/hide what the lame/game/dame flame of a bird/blind/kind candle is like after it is ft.fer/mother/other blown out", "best_n": 0, "prediction_base": " & she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_medium": " & she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_large_v3": " and she tried to fancy what the flame of a candle is like after the candle is blown out" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried to fancy what the flame of a candle is like after the candle is blown out [/INST]", "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& she shoe tried to phntzy what thê flaym ov a kandel iz lyk aftâ.", "best_n": 0, "prediction_base": " After the kandâ l is blown out.", "prediction_medium": " & she shoe tried to phntzy what thê flaym ov a kandel iz lyk aftâ. The candle is blown out.", "prediction_large_v3": " and she tried to phantzy what thê flaym ov a kandel iz lyk aftâ the kandel iz blown out." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried to fancy what the flame of a candle is like after the candle is blown out [/INST]", "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some homophones are not included in the list if they are not exact words.", "best_n": 0, "prediction_base": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_medium": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_large_v3": " And she tried to fancy what the flame of a candle is like after the candle is blown out." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried to fancy what the flame of a candle is like after the candle is blown out [/INST]", "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_medium": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_large_v3": " And she tried to fancy what the flame of a candle is like after the candle is blown out." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried to fancy what the flame of a candle is like after the candle is blown out [/INST]", "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may not be exact, but they are words that are pronounced similarly to the original word.", "best_n": 0, "prediction_base": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_medium": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_large_v3": " And she tried to fancy what the flame of a candle is like after the candle is blown out." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried to fancy what the flame of a candle is like after the candle is blown out [/INST]", "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: and, end\nshe: shore, see\ntried: tried, tired\nto: to, two\nfancy: fancy, glory\nflame: flame, games\nis: is, eyes\nlike: like, lyre\nafter: after, farther\nblown: blown, blue\nout: out, rout", "best_n": 0, "prediction_base": " and she tried to fancy what the flame of a candle is like after the candle is blown out?", "prediction_medium": " and she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_large_v3": " And she tried to fancy what the flame of a candle is like after the candle is blown out." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried to fancy what the flame of a candle is like after the candle is blown out [/INST]", "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &, shoe, shed, tried, three, too, two, fancy, régime×, auspices, leas, like, efforts, lame, flummox.", "best_n": 0, "prediction_base": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_medium": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_large_v3": " And she tried to fancy what the flame of a candle is like after the candle is blown out." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried to fancy what the flame of a candle is like after the candle is blown out [/INST]", "segment_id": "AUD0000000468_S0000104", "text": "and she tried to fancy what the flame of a candle is like after the candle is blown out ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple possible homophones, but I have only listed each word once, with the most common homophone for each word included. Additionally, some of the homophones may be more appropriate in certain contexts or dialects than others, and some may be considered more or less archaic or regional.", "best_n": 0, "prediction_base": " And she tried to fancy what the flame of a candle is like after the candle has blown out.", "prediction_medium": " And she tried to fancy what the flame of a candle is like after the candle is blown out.", "prediction_large_v3": " And she tried to fancy what the flame of a candle is like after the candle is blown out." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for she could not remember having ever seen one [/INST]", "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "= fore she could not remember having ever seevin one\n= fer she could not remember having ever sewin one\n= four she could not remember having ever seen one\n= sheep she could not remember having ever sewn one\n= she'd she could not remember having ever sewen one\n= shed she could not remember having ever seen one\n= could she could not remember having ever couraged one\n= courage she could not remember having ever counseled one\n= counsel she could not remember having ever consulted one\n= know she could not remember having ever known one\n= knot she could not remember having ever tied one\n= memebers she could not remember having ever joined one\n= remembers she could not remember having ever recalled one\n= sevin she could not remember having ever sewn one\n= sin she could not remember having ever sinned one\n= scenic she could not remember having ever seen one\n= sewn she could not remember having ever sewed one\n= sin she could not remember having ever seen one\n= taken she could not remember having ever taken one ", "best_n": 0, "prediction_base": "ospel== mug Calvin", "prediction_medium": " for she could not remember having ever seen one", "prediction_large_v3": " she could not remember having ever seen one" }, { "input": null, "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " for she could not remember having ever seen one.", "prediction_medium": " for she could not remember having ever seen one.", "prediction_large_v3": " for she could not remember having ever seen one." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for she could not remember having ever seen one [/INST]", "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "for (four) she (she) could (could) not (knot) remember (remember) having (having) ever (evil) seen (seen) one.", "best_n": 0, "prediction_base": " For she could not remember having ever seen one.", "prediction_medium": " For she could not remember having ever seen one.", "prediction_large_v3": " for she could not remember having ever seen one." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for she could not remember having ever seen one [/INST]", "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Or she could not remember having ever seen one.", "prediction_medium": " For she could not remember having ever seen one.", "prediction_large_v3": " For she could not remember having ever seen one." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for she could not remember having ever seen one [/INST]", "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Or she could not remember having ever seen one.", "prediction_medium": " For she could not remember having ever seen one.", "prediction_large_v3": " For she could not remember having ever seen one." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for she could not remember having ever seen one [/INST]", "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones provided may not be exact word matches, but they are words that are pronounced the same as the original word.", "best_n": 0, "prediction_base": " For she could not remember having ever seen one.", "prediction_medium": " For she could not remember having ever seen one.", "prediction_large_v3": " For she could not remember having ever seen one." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for she could not remember having ever seen one [/INST]", "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings. In this sentence, there are multiple homophones for each word, listed in parentheses after the word.", "best_n": 0, "prediction_base": " For she could not remember having ever seen one.", "prediction_medium": " For she could not remember having ever seen one.", "prediction_large_v3": " For she could not remember having ever seen one." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for she could not remember having ever seen one [/INST]", "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* for (fore/four)\n* she (shoe/see)\n* could (could/would)\n* not (knot/note)\n* remember (member/disremember)\n* having (having/hvin)\n* ever (ever/ere)\n* seen (scene/seem)", "best_n": 0, "prediction_base": " for she could not remember having ever seen one.", "prediction_medium": " for she could not remember having ever seen one.", "prediction_large_v3": " for she could not remember having ever seen one." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for she could not remember having ever seen one [/INST]", "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "for - four, fore, fort, tor\nshe - sea, see, sell, sell\ncould - could, wound, rounded, bound\nnot - knot, pot, rot, dot\nremember - remember, dismember, Give, plumber\nhaving - having, giving, living, shaving\never - ever, evere, evera, ere\nseen - seen, sewn, sense, sine", "best_n": 0, "prediction_base": " for she could not remember, having, ever seen one", "prediction_medium": " for she could not remember having ever seen one.", "prediction_large_v3": " for she could not remember having ever seen one." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for she could not remember having ever seen one [/INST]", "segment_id": "AUD0000000468_S0000105", "text": "for she could not remember having ever seen one ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "for (form, forest) / she (ships, shy) / could (could, culd) / not (knot, wrote) / remember (remember, remind) / having (having, havin) / ever (err, bear) / seen (seen, scene)", "best_n": 0, "prediction_base": " for she could not remember having ever seen one.", "prediction_medium": " for she could not remember having ever seen one.", "prediction_large_v3": " for she could not remember having ever seen one." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be additional homophones for each word depending on the context and accent or dialect.", "best_n": 0, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": null, "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be additional homophones not listed here, depending on the context and the specific dialect or accent being used.", "best_n": 0, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed one for each word.", "best_n": 0, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, but I have only listed one for each word.", "best_n": 0, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that some of the homophones are not exact matches, but they are close enough to be considered homophones. Also, some of the words have multiple homophones, but I have listed only one for each word.", "best_n": 0, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed one example for each word.", "best_n": 0, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these homophones may be moreacceptable than others in certain contexts, and some may be more commonly used in specific dialects or varieties of English.", "best_n": 0, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have multiple homophones, but I have only listed each word once.", "best_n": 0, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. however:\n\t* haver (meaning \"to have\" or \"to possess\")\n\t*hover (meaning \"to hang suspended in the air\")\n\t*howe'er (an archaic spelling of \"however\")\n2. nothing:\n\t*no thing (emphasizing the absence of something)\n\t*noting (meaning \"to note\" or \"to observe\")\n\t*nought (an archaic term for \"nothing\")\n3. more:\n\t*mere (meaning \"only\" or \"merely\")\n\t*moring (an archaic term for \"more\")\n\t*mor (a word used in Scottish English meaning \"greater\")\n4. happened:\n\t*hap (an old English word for \"chance\" or \"fortune\")\n\t*ha'pen (a Middle English word for \"happen\" meaning \"to occur\")\n\t*happ'n (a colloquial spelling of \"happen\")\n5. so:\n\t*se (a prefix indicating \"beside\" or \"near\")\n\t*s/o (an abbreviation for \"so or\")\n\t*sos (an abbreviation for \"save our souls\")\n6. decided:\n\t*dessicate (meaning \"to dry up\" or \"to wither\")\n\t*dictated (meaning \"to state authoritatively\")\n\t*d Recid (aVariation of \"decide\")\n7. on:\n\t*an (an article indicating \"one\" or \"only one\")\n\t*one (a pronoun indicating \"only one\")\n\t*o'n (a colloquial spelling of \"on\")\n8. into:\n\t*in to (a preposition indicating \"in to\")\n\t*intño (a word used in some languages indicating \"into\")\n\t*inn (a preposition indicating \"into\")\n9. the:\n\t*the (an article indicating \"a specific\" or \" aleady mentioned\" thing)\n\t*th e (a Common simplified spelling of \"the\")\n\t*th er (a dvanced spelling of \"the\")\n10. garden:\n\t*", "best_n": 0, "prediction_base": " however nothing more happened so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however nothing more happened so she decided on going into the garden at once [/INST]", "segment_id": "AUD0000000468_S0000106", "text": "however nothing more happened so she decided on going into the garden at once ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps!", "best_n": 0, "prediction_base": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_medium": " However, nothing more happened, so she decided on going into the garden at once.", "prediction_large_v3": " However, nothing more happened, so she decided on going into the garden at once." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but alas for pour Alice\nbut alas for Alys Alice\nbutt alas for pour Alice\nbutt alas for Alys Alice\nbot alas for pour Alice\nbot alas for Alys Alice\nfore alas for pour Alice\nfore alas for Alys Alice", "best_n": 0, "prediction_base": " butt alas for pour Alice", "prediction_medium": " but alas for pour Alice", "prediction_large_v3": " but alas for pour Alice" }, { "input": null, "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But alas for poor Alice.", "prediction_medium": " But alas for poor Alice!", "prediction_large_v3": " But alas for poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. But:\n\t* But (homophone)\n\t* Bat (homophone)\n\t* Buy (homophone)\n2. Alice:\n\t* Alice (homophone)\n\t* Alyce (homophone)\n\t* Alize (homophone)", "best_n": 0, "prediction_base": " umbrellas háiá but a Lasses184 pour Marriage drops, but alias for poor Alice!", "prediction_medium": " But alas for poor Alice.", "prediction_large_v3": " But alas for poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that \"Alice\" is not a homophone, but I included it in the list as it is a common variation of the name Alice that is pronounced the same way.", "best_n": 0, "prediction_base": " But alas for poor Alice.", "prediction_medium": " But alas for poor Alice.", "prediction_large_v3": " But alas for poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but: but, bet, bot\nalas: ale, ail\nfor: forth, four\npoor: pour\nAlice: Alice, ail, Ell", "best_n": 0, "prediction_base": " but alas for poor Alice.", "prediction_medium": " but alas for poor Alice.", "prediction_large_v3": " but, alas for poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "But (bat, butt, butte) alas (alis, allas, alert) for poor (pore, poorly, pour) Alice (Alys, Alice).", "best_n": 0, "prediction_base": " But alas for poor Alice.", "prediction_medium": " But alas for poor Alice.", "prediction_large_v3": " but alas for poor Alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " But alas for poor Alice!", "prediction_medium": " But alas for poor Alice!", "prediction_large_v3": " But alas for poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and, in some cases, different spellings.", "best_n": 0, "prediction_base": " But alas for poor Alice.", "prediction_medium": " But, alas for poor Alice,", "prediction_large_v3": " But alas for poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* but/bat/pity (alas)\n* for/form/four\n* poor/poure/shore\n* Alice/easy/eyes", "best_n": 0, "prediction_base": " but alas for poor Alice", "prediction_medium": " but alas for poor Alice", "prediction_large_v3": " But alas for poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. But:\n\t* But (homophone)\n\t* Bat (homophone)\n\t* Butt (homophone)\n2. For:\n\t* For (homophone)\n\t* Four (homophone)\n\t* Tor (homophone)\n3. Poor:\n\t* Poor (homophone)\n\t* Pour (homophone)\n\t* Pore (homophone)\n4. Alice:\n\t* Alice (homophone)\n\t* Alize (homophone)\n\t* Alias (homophone)", "best_n": 0, "prediction_base": " alte Sophie Barrettona.6 Alice and Bor chose垃, divided by eight. And credit cards.", "prediction_medium": " But, alas for poor Alice.", "prediction_large_v3": " But alas for poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but alas for poor alice [/INST]", "segment_id": "AUD0000000468_S0000107", "text": "but alas for poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. but:\n\t* but\n\t* bat\n\t* bud\n\t* bott\n2. alas:\n\t* alas\n\t* Acts\n\t* assets\n\t* e plait\n\t* plate\n3. for:\n\t* for\n\t* four\n\t* fore\n\t* form\n4. poor:\n\t* poor\n\t* poured\n\t* corporate\n\t* cork\n5. Alice:\n\t* Alice\n\t* rice\n\t* nice\n\t* choose", "best_n": 0, "prediction_base": " but alas for poor Alice", "prediction_medium": " but alas for poor Alice", "prediction_large_v3": " but alas for poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. when: when, wheel, win\n2. she: she, shed, shim\n3. got: got, goat\n4. to: to, two, too\n5. the: the, tree, thee\n6. door: door, draw, Left", "best_n": 0, "prediction_base": " when she got to the door.", "prediction_medium": " when she got to the door.", "prediction_large_v3": " When she got to the door," }, { "input": null, "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " when she got to the door.", "prediction_medium": " when she got to the door.", "prediction_large_v3": " When she got to the door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "wehn, shoh, goht, toh, theh, door", "best_n": 0, "prediction_base": " when she got to the door.", "prediction_medium": " when she got to the door.", "prediction_large_v3": " When she got to the door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "When: whe(n) /hu:/ ( années/ English has two vowels are pronounced almost spell them: when and whin)\nShe: sh(e) /ʃi/ (sh- sound and -e- silent)\ngot: go(t) /ɡoʊ(t)/ (butt recognized and /t/ on and goy pronunciation AA is more common than OAL)\nto: to(t) /tu(t)/ (TO/TŌ English and /taking the Top off a TO TO kissing nail \" top)- unless the word beginning with a vowel)\nthe: the(r)/ðiː(r)/ (Only) (Stressed \"the\" as /ðiː(r)/ singly is often as generic English terminal is silent \"the(r regional=generally= Engliah-speaking Western North America the last two define USA and upwards)\ndoor: do(r) /dɔ̟r/ or wo(r) /wol/ and present)", "best_n": 0, "prediction_base": " when she got to the door.", "prediction_medium": " when she got to the door", "prediction_large_v3": " when she got to the door" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Wheen see two door.", "best_n": 0, "prediction_base": " When she got to the door.", "prediction_medium": " When she got to the door.", "prediction_large_v3": " When she got to the door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* when: when, win, whan\n* she: she, shell, sell\n* got: got, good, god\n* to: to, two, too\n* the: the, thou, thou\n* door: door, floor, bore", "best_n": 0, "prediction_base": " when she got to the door", "prediction_medium": " when she got to the door", "prediction_large_v3": " When she got to the door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are not necessarily exact substitutions, but they are words that are pronounced the same as each other but may have different meanings and spellings.", "best_n": 0, "prediction_base": " When she got to the door...", "prediction_medium": " When she got to the door...", "prediction_large_v3": " When she got to the door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "when (when, why, without)\nshe (she, he, see)\ngot (got, goat, brought)\nto (to, two, tow)\ndoor (door, floor, bore)", "best_n": 0, "prediction_base": " when she got to the door.", "prediction_medium": " when she got to the door.", "prediction_large_v3": " when she got to the door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"goat\" is a homophone of \"got\" in this context, as it is pronounced the same way but has a different meaning.", "best_n": 0, "prediction_base": " When she got to the door...", "prediction_medium": " When she got to the door...", "prediction_large_v3": " When she got to the door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"when she got to the door\" has six homophones.", "best_n": 0, "prediction_base": " When she got to the door.", "prediction_medium": " When she got to the door.", "prediction_large_v3": " When she got to the door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n when she got to the door [/INST]", "segment_id": "AUD0000000468_S0000108", "text": "when she got to the door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"when she got to the door\" has 6 homophones!", "best_n": 0, "prediction_base": " When she got to the door...", "prediction_medium": " When she got to the door.", "prediction_large_v3": " When she got to the door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she had forgotten the little golden key [/INST]", "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that have the same pronunciation but different spelling or meanings.", "best_n": 0, "prediction_base": " She found she had forgotten the little golden key.", "prediction_medium": " She found she had forgotten the little golden key.", "prediction_large_v3": " She found she had forgotten the little golden key." }, { "input": null, "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " She found she had forgotten the little golden key.", "prediction_medium": " She found she had forgotten the little golden key.", "prediction_large_v3": " She found she had forgotten the little golden key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she had forgotten the little golden key [/INST]", "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may not be exact matches, but they are generally close enough to be confused with the original word in certain contexts.", "best_n": 0, "prediction_base": " She found she had forgotten the little golden key.", "prediction_medium": " She found she had forgotten the little golden key.", "prediction_large_v3": " She found she had forgotten the little golden key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she had forgotten the little golden key [/INST]", "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " She found she had forgotten the little golden key.", "prediction_medium": " Thank you.", "prediction_large_v3": " She found she had forgotten the little golden key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she had forgotten the little golden key [/INST]", "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"she\" - \"peas\", \"sea\", \"see\", \" Athshe\"\n2. \"found\" - \"their\", \"there\", \"hound\", \"bound\"\n3. \"had\" - \"had\" (correct), \"head\", \"heard\"\n4. \"forgotten\" - \"forget\", \"grotesque\", \"grotto\"\n5. \"little\" - \"littler\", \"life\", \"live\"\n6. \"golden\" - \"go old\", \"galden\", \"sheldon\"\n7. \"key\" - \"kay\", \" kiwi\", \"keep\"", "best_n": 0, "prediction_base": " \"-she found, she had forgotten the little golden key.\"", "prediction_medium": "nty6.", "prediction_large_v3": " She found she had forgotten the little golden key," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she had forgotten the little golden key [/INST]", "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* hay\n* khey", "best_n": 0, "prediction_base": " she found she had forgotten the little golden key", "prediction_medium": " she found she had forgotten the little golden key", "prediction_large_v3": " She found she had forgotten the little golden key," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she had forgotten the little golden key [/INST]", "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence has 8 homophones in total!", "best_n": 0, "prediction_base": " She found she had forgotten the little golden key.", "prediction_medium": " She found she had forgotten the little golden key.", "prediction_large_v3": " She found she had forgotten the little golden key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she had forgotten the little golden key [/INST]", "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* hey, he, sound, fund, had, hare, forgotten, foregone, little, lieu, golden, gilded, Kay", "best_n": 0, "prediction_base": " she found she had forgotten the little golden key.", "prediction_medium": " she found she had forgotten the little golden key", "prediction_large_v3": " She found she had forgotten the little golden key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she had forgotten the little golden key [/INST]", "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Total: 9 homophones.", "best_n": 0, "prediction_base": " She found she had forgotten the little golden key.", "prediction_medium": " Total. She found she had forgotten the little golden key.", "prediction_large_v3": " She found she had forgotten the little golden key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she had forgotten the little golden key [/INST]", "segment_id": "AUD0000000468_S0000109", "text": "she found she had forgotten the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* sea/she\n* fond/found\n* hand/had\n* forgo'ten/forgotten\n* little/litter\n* golen/golden\n* kay/key", "best_n": 0, "prediction_base": " she found she had forgotten the little golden key", "prediction_medium": " she found she had forgotten the little golden key", "prediction_large_v3": " She found she had forgotten the little golden key," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& (and)\nback (back, bake)\nto (to, two)\nthe (the, thin)\ntable (table, tale)\nfor (for, four)\nkey (key,ize)", "best_n": 0, "prediction_base": " & when she went back to the table for the key.", "prediction_medium": " & when she went back to the table for the key", "prediction_large_v3": " and when she went back to the table for the key" }, { "input": null, "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and when she went back to the table for the key,", "prediction_medium": " and when she went back to the table for the key", "prediction_large_v3": " And when she went back to the table for the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (hand, and) went (vent, went) back (bat, back) to (two, to) the (they, the) table (tale, table) for (four, for) the (kay, key)", "best_n": 0, "prediction_base": " and when she went back to the table for the key", "prediction_medium": " and when she went back to the table for the key", "prediction_large_v3": " and when she went back to the table for the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and, end, hand, went, want, went, back, bat, but, to, two, too, the, it, in, table, tale, tall, four, bore, key, ki, sea.", "best_n": 0, "prediction_base": " And when she went back to the table for the key,", "prediction_medium": " And when she went back to the table for the key,", "prediction_large_v3": " And when she went back to the table for the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And and hand.\nWhen and wan.\nShe and he.\nWent and wing.\nBack and backed.\nTo and two.\nThe and thy.\nTable and tale.\nFor and four.\nThe and thy.\nKey and lake.", "best_n": 0, "prediction_base": " And when she went back to the table for the key.", "prediction_medium": " and when she went back to the table for the key.", "prediction_large_v3": " And when she went back to the table for the key," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& when she wente baulk fore the tale for the keye", "best_n": 0, "prediction_base": " and when she went back to the table for the keye", "prediction_medium": " & when she wente baulk to the tale for the keye,", "prediction_large_v3": " and when she wente baulk to the tale for the keye" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones for each word depending on the context in which they are used.", "best_n": 0, "prediction_base": " And when she went back to the table for the key,", "prediction_medium": " And when she went back to the table for the key,", "prediction_large_v3": " And when she went back to the table for the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"and & an & in back & bat to two the & pee tale four see eye\"", "best_n": 0, "prediction_base": " and when she went back to the table for the key", "prediction_medium": " and when she went back to the table for the key", "prediction_large_v3": " and when she went back to the table for the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "&, wnt, bakt, two, thee, tabul, fer, ky.", "best_n": 0, "prediction_base": " And when she went back to the table for the key,", "prediction_medium": " &, wnt, she, wnt, bakt, two, thee, tabul, fer, ky.", "prediction_large_v3": " And when she went back to the table for the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& wen shi baik tu ti tabs fur ti ki", "best_n": 0, "prediction_base": " and wen shi went back to the table for the key", "prediction_medium": " & wen shi went back to the table fur the ki", "prediction_large_v3": " and when she went back to the table for the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she went back to the table for the key [/INST]", "segment_id": "AUD0000000468_S0000110", "text": "and when she went back to the table for the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& when shore went bat two the tabl for Ki.\"", "best_n": 0, "prediction_base": " And when she went back to the table for the Ki,", "prediction_medium": " And when she went back to the table for the Ki,", "prediction_large_v3": " And when she went back to the table for the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she could not possibly reach it she could see it plainly enough through the glass [/INST]", "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_medium": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_large_v3": " She found she could not possibly reach it. She could see it plainly enough through the" }, { "input": null, "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_medium": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_large_v3": " She found she could not possibly reach it. She could see it plainly enough, through the glass." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she could not possibly reach it she could see it plainly enough through the glass [/INST]", "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are spelling variations (e.g., \"culd\" and \"would\"), while others are distinct words with the same pronunciation (e.g., \"queen\" and \"seem\").", "best_n": 0, "prediction_base": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_medium": " Note that some of these homophones are spelling variations.", "prediction_large_v3": " she found she could not possibly reach it. She could see it plainly enough through the glass," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she could not possibly reach it she could see it plainly enough through the glass [/INST]", "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_medium": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_large_v3": " She found she could not possibly reach it. She could see it plainly enough, through the glass." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she could not possibly reach it she could see it plainly enough through the glass [/INST]", "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "she found she could not ground it she could see it sea plainly enough through grass", "best_n": 0, "prediction_base": " she found she could not possibly reach it she could see it plainly enough through the glass", "prediction_medium": " she found she could not possibly reach it she could see it plainly enough through the glass", "prediction_large_v3": " she found she could not possibly reach it she could see it plainly enough through the glass" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she could not possibly reach it she could see it plainly enough through the glass [/INST]", "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and (usually) different spellings.", "best_n": 0, "prediction_base": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_medium": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_large_v3": " She found she could not possibly reach it. She could see it plainly enough through the" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she could not possibly reach it she could see it plainly enough through the glass [/INST]", "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* found: sound, ground, wound\n* could: could, would, would\n* reach: teach, preach, each\n* see: sea, bee, knee\n* plainly: plainly, plane-ly, plane", "best_n": 0, "prediction_base": " she found she could not possibly reach it, she could see it plainly enough through the glass", "prediction_medium": " she found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_large_v3": " She found she could not possibly reach it. She could see it plainly enough through the glass." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she could not possibly reach it she could see it plainly enough through the glass [/INST]", "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that have the same pronunciation but different meanings and (sometimes) different spellings.", "best_n": 0, "prediction_base": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_medium": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_large_v3": " She found she could not possibly reach it. She could see it plainly enough through the glass." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she could not possibly reach it she could see it plainly enough through the glass [/INST]", "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "She foUnd she could not posSibly Reech it, but she could see it plainly through the glass.", "best_n": 0, "prediction_base": " She foUnd she could not possibly Reech it, she could see it plainly enough through the glass.", "prediction_medium": " She found she could not posSably Reech it, but she could see it plainly enough through the glass.", "prediction_large_v3": " She could see it plainly enough through the glass." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she found she could not possibly reach it she could see it plainly enough through the glass [/INST]", "segment_id": "AUD0000000468_S0000111", "text": "she found she could not possibly reach it she could see it plainly enough through the glass ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be additional homophones for each word, but these are some of the most common ones.", "best_n": 0, "prediction_base": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_medium": " She found she could not possibly reach it. She could see it plainly enough through the glass.", "prediction_large_v3": " She found she could not possibly reach it. She could see it plainly enough, through the glass." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried her best to climb up one of the legs of the table [/INST]", "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. she: shoe\n3. tried: tide\n4. best: beast\n5. climb: cram\n6. up: up\n7. one: won\n8. of: of\n9. legs: lags\n10. table: table", "best_n": 0, "prediction_base": " & she tried her best climb up 1. of the legs at the table.", "prediction_medium": " And she tried her best to climb up one of the legs of the table.", "prediction_large_v3": " And she tried her best to climb up one of the legs of the table," }, { "input": null, "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and she tried her best to climb up one of the legs at the table.", "prediction_medium": " And she tried her best to climb up one of the legs of the table.", "prediction_large_v3": " and she tried her best to climb up one of the legs of the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried her best to climb up one of the legs of the table [/INST]", "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And she tried her best to climb up one of the legs at the table.", "prediction_medium": " And she tried her best to climb up one of the legs of the table.", "prediction_large_v3": " And she tried her best to climb up one of the legs of the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried her best to climb up one of the legs of the table [/INST]", "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& she shed cryed bet to clime one of the lgez of the be\"", "best_n": 0, "prediction_base": " and she tried her best to climb up one of the legs of the table.", "prediction_medium": " & she tried her best to clime up one of the lgez of the table.", "prediction_large_v3": " and she tried her best to climb up one of the legs of the table" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried her best to climb up one of the legs of the table [/INST]", "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that \"legs\" has two homophones: \"legs\" (the plural form of \"leg\"), which is the correct word in the sentence, and \"lags\" (the present tense of the verb \"lag\"), which is a homophone.", "best_n": 0, "prediction_base": " And she tried her best to climb up one of the legs of the table.", "prediction_medium": " And she tried her best to climb up one of the legs of the table.", "prediction_large_v3": " And she tried her best to climb up one of the legs of the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried her best to climb up one of the legs of the table [/INST]", "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\nshe: shore\ntried: tied\nbest: bent\nclimb: climb\nup: up\none: own\nof: off\nthe: the\nlegs: leggs\ntable: table", "best_n": 0, "prediction_base": " & she tried her best climb up one of the legs at the table.", "prediction_medium": " &she tried her best to climb up one of the legs of the table", "prediction_large_v3": " And she tried her best to climb up one of the legs of the table," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried her best to climb up one of the legs of the table [/INST]", "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And shore tried rest to crimp won of bottle.", "best_n": 0, "prediction_base": " And she tried her best to climb up one of the legs at the table.", "prediction_medium": " And she tried her best to climb up one of the legs of the table.", "prediction_large_v3": " And she tried her best to climb up one of the legs of the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried her best to climb up one of the legs of the table [/INST]", "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"And she tried her best to climb up one of the legs of the table\" has 11 homophones!", "best_n": 0, "prediction_base": " And she tried her best to climb up one of the legs of the table.", "prediction_medium": " And she tried her best to climb up one of the legs of the table.", "prediction_large_v3": " And she tried her best to climb up one of the legs of the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried her best to climb up one of the legs of the table [/INST]", "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps!", "best_n": 0, "prediction_base": " And she tried her best to climb up one of the legs at the table.", "prediction_medium": " And she tried her best to climb up one of the legs of the table.", "prediction_large_v3": " And she tried her best to climb up one of the legs of the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she tried her best to climb up one of the legs of the table [/INST]", "segment_id": "AUD0000000468_S0000112", "text": "and she tried her best to climb up one of the legs of the table ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that have the same pronunciation but different meanings and often different spellings.", "best_n": 0, "prediction_base": " And she tried her best to climb up one of the legs at the table.", "prediction_medium": " And she tried her best to climb up one of the legs of the table.", "prediction_large_v3": " And she tried her best to climb up one of the legs of the table." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but - but, boot\nit - bit, kit\nwas - was, saw\ntoo - too, two\nslippery - slippery, sleapy, slipery", "best_n": 0, "prediction_base": " but it was too slippery.", "prediction_medium": " but it was too slippery.", "prediction_large_v3": " but, it was too slippery." }, { "input": null, "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But it was too slippery.", "prediction_medium": " But it was too slippery.", "prediction_large_v3": " But it was too slippery." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and may or may not be spelled differently.", "best_n": 0, "prediction_base": " But it was too slippery.", "prediction_medium": " But it was too slippery.", "prediction_large_v3": " But it was too slippery." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bet it was two slippy", "best_n": 0, "prediction_base": " but it was two slippery.", "prediction_medium": " but it was too slippery", "prediction_large_v3": " But it was too slippery." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bet it was too slippy\nbet it was too slip-ery\nbet it was too slithery", "best_n": 0, "prediction_base": " but it was too slippery", "prediction_medium": " but it was too slippery", "prediction_large_v3": " but it was too slippery" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but: but,bot,bought\nit: hit, bit, sit\nwas: was, wass, Wass\ntoo: two, to, new\nslippery: slippery, slithery, fearsome", "best_n": 0, "prediction_base": " but it was too slippery.", "prediction_medium": " but it was too slippery", "prediction_large_v3": " But it was too slippery." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but: but, bat, bud\nit: it, bit\nwas: was, baseball, bass\ntoo: too,Two, transitive\nslippery: slippery, sleezy, slitherry", "best_n": 0, "prediction_base": " but it was too slippery.", "prediction_medium": " but, it was too slippery", "prediction_large_v3": " But it was too slippery." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bet, bat, bot, boot (but)\nin, is, if, hit (it)\nwas, want, wax (was)\nslip, sleepy, sleapy, slide (slippery)", "best_n": 0, "prediction_base": " But it was too slippery.", "prediction_medium": " but, it was too slippery.", "prediction_large_v3": " but it was too slipperyppery." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "(Note that I've only listed unique homophones for each word, and not all possible homophones that may exist in the English language.)", "best_n": 0, "prediction_base": " But it was too slippery.", "prediction_medium": " But it was too slippery.", "prediction_large_v3": " but it was too slippery." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Bat was too sleezy.\n* But had two toes.\n* Slippery was too slow.", "best_n": 0, "prediction_base": " But it was too slippery.", "prediction_medium": " But it was too slippery.", "prediction_large_v3": " But it was too slippery." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but it was too slippery [/INST]", "segment_id": "AUD0000000468_S0000113", "text": "but it was too slippery ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* put/bat/bot/bud but\n* hit/sit/bit/wit it\n* saw/wash/waw/saws was\n* to/two/tow/boo too\n* slippy/slithery/slidey/slpped slippery", "best_n": 0, "prediction_base": " but it was too slippery", "prediction_medium": " but it was too slippery", "prediction_large_v3": " but it was too slippery" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and (and, an)\n* when (when, wen)\n* she (she, shi)\n* had (had, sang)\n* tired (tired, trying)\n* herself (herself, heself)\n* out (out, outh)\n* with (with, wit)\n* trying (trying, triing)", "best_n": 0, "prediction_base": "ниб, and when she had tired herself out with trying", "prediction_medium": " and when she had tired herself out with trying", "prediction_large_v3": " and when she had tired herself out with trying," }, { "input": null, "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and when she had tired herself out with trying.", "prediction_medium": " And when she had tired herself out with trying,", "prediction_large_v3": " And when she had tired herself out with trying," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are not necessarily exact substitutions, but they are words that are pronounced the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " And when she had tired herself out with trying,", "prediction_medium": " And when she had tired herself out with trying,", "prediction_large_v3": " And when she had tired herself out with trying," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& when shui had tyrd owt ween herself oot.", "best_n": 0, "prediction_base": " and when shui had tyrd owt herself oot with trying.", "prediction_medium": " & when she had tyrd herself oot with trying.", "prediction_large_v3": " And when she had tired herself out with trying," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "&, she, had, tired, herself, out, with, trying", "best_n": 0, "prediction_base": " and when she had tired herself out, with, trying.", "prediction_medium": " &, when, she, had, tired, herself, out, with, trying", "prediction_large_v3": " and when she had tired herself out with trying" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& wen shi havd tayrd hersilf ot.", "best_n": 0, "prediction_base": " and wen shi havd herself ot with trying.", "prediction_medium": " & wen shi havd tayrd hersilf ot.", "prediction_large_v3": " And when she had tired herself out with trying," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& shoe sea hat tried out wit tren", "best_n": 0, "prediction_base": " and when she had tired herself out wit trying", "prediction_medium": " & when she had tired herself out with trying,", "prediction_large_v3": " and when she had tired herself out with trying" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& when she had tide herself out with trying", "best_n": 0, "prediction_base": " and when she had tired herself out with trying", "prediction_medium": " & when she had tide herself out with trying", "prediction_large_v3": " and when she had tired herself out with trying" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& schemes covers an sleep led direview\n& shoe covers an sleep led dew\n& had schemes an sleep led heir\n& tide schemes an sleep led heir\n& helselve schemes an sleep led here\n& ouch covers an sleep led out\n& wit covers an sleep led wool\n& drizzling covers an sleep led viol", "best_n": 0, "prediction_base": " & when she had tired herself out with trying", "prediction_medium": " & when she had tired herself out with trying", "prediction_large_v3": " and when she had tired herself out with trying" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& whe sh hadd tyer her ou wi trying'.", "best_n": 0, "prediction_base": " And when she had tired herself out with trying.", "prediction_medium": " & whe sh hadd tyer her ou wi trying'.", "prediction_large_v3": " And when she had tired herself out with trying," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and when she had tired herself out with trying [/INST]", "segment_id": "AUD0000000468_S0000114", "text": "and when she had tired herself out with trying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& wen shi ddef tydd hersel pacific ot.", "best_n": 0, "prediction_base": " and wen shi he chtard herself out with trying.", "prediction_medium": " & wen shi had tyred herself out with trying,", "prediction_large_v3": " And when she had tired herself out with trying," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "poor = poure, poorly, pores\nlittle = litter, lithe, licht\nthing = area, angle, on throng\nsat = sit, set, sout\ndown = down, drown, wound\ncried = crowed, cried, tried", "best_n": 0, "prediction_base": " the poor little thing sat down and cried.", "prediction_medium": " The poor little thing sat down and cried.", "prediction_large_v3": " The poure little thing sat down and cried." }, { "input": null, "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " The poor little thing sat down and cried.", "prediction_medium": " The poor little thing sat down and cried.", "prediction_large_v3": " The poor little thing sat down and cried." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " The poor little thing sat down and cried.", "prediction_medium": " The poor little thing sat down and cried.", "prediction_large_v3": " The poor little thing sat down and cried." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "poor - poor / pore\nlittle - little / lite / lilt\nthing - thin / thring\nsat - sat / set\ndown - down / doun\ncried - cried / craid", "best_n": 0, "prediction_base": " The poor little thing sat down and cried.", "prediction_medium": " The poor little thing sat down and cried.", "prediction_large_v3": " The poor little thing sat down and cried." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. poor - poor, pour\n2. little - little, litl\n3. thing - think, ring\n4. sat - sit, set\n5. down - down, town\n6. cried - cried, tried", "best_n": 0, "prediction_base": " The poor little thing sat down and cried.", "prediction_medium": " the poor little thing sat down and cried", "prediction_large_v3": " the poor little thing sat down and cried." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "= the pore little ring sat down and tired\n= the light little hat sat down and sang\n= the poor little town sat down and rode\n= the tried little gown sat down and cried", "best_n": 0, "prediction_base": " the poor little thing sat down and cried", "prediction_medium": " the poor little thing sat down and cried", "prediction_large_v3": " the poor little thing sat down and cried" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "little: small, tiny, smallish, tinyish\nthing: chat, bring, ring, sing\nsat: set, sat, settle, sent\ndown: down, don, dawn, drown\ncried: tried, ride, tie, die", "best_n": 0, "prediction_base": " the poor little thing, sat down and cried.", "prediction_medium": " the poor little thing sat down and cried.", "prediction_large_v3": " The poor little thing sat down and cried." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Total: 6 homophones.", "best_n": 0, "prediction_base": " The poor little thing sat down and cried.", "prediction_medium": " The poor little thing sat down and cried.", "prediction_large_v3": " The poor little thing sat down and cried." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. poor - pour\n2. little - lattice\n3. thing - thingamajig\n4. sat - sant\n5. down - town\n6. cried - creased", "best_n": 0, "prediction_base": " The poor little thing sat down and cried.", "prediction_medium": " The poor little thing sat down and cried.", "prediction_large_v3": " the poor little thing sat down and cried" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "poor: poor, pour\nlittle: little, litter\nthing: thing, sing\nsat: sat, sate\ndown: down, town\ncried: cried, tried", "best_n": 0, "prediction_base": " the poor little thing sat down and cried.", "prediction_medium": " the poor little thing sat down and cried.", "prediction_large_v3": " the poor little thing sat down and cried." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the poor little thing sat down and cried [/INST]", "segment_id": "AUD0000000468_S0000115", "text": "the poor little thing sat down and cried ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: The homophones listed are not exhaustive, and some may have multiple homophones depending on the context in which they are used.", "best_n": 0, "prediction_base": " The poor little thing sat down and cried.", "prediction_medium": " The poor little thing sat down and cried.", "prediction_large_v3": " The poor little thing sat down and cried." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Come (comes, came, go)\n* There's (theres, there is, their)\n* Use (us, used, misuse)\n* Crying (cree, hoarse, horse)", "best_n": 0, "prediction_base": " Come, there's no use in crying!", "prediction_medium": " Come, there's no use in crying.", "prediction_large_v3": " Come, there's no use in crying" }, { "input": null, "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Come, there's no use in crying.", "prediction_medium": " Come, there's no use in crying.", "prediction_large_v3": " Come, there's no use in crying." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"come\" - came, comes, going, gone\n2. \"there's\" - there are, there is, their\n3. \"no\" - know, know's, nod\n4. \"use\" - uses, use's, uze\n5. \"crying\" - cryin, cryin', crys", "best_n": 0, "prediction_base": " come, there's no use in crying.", "prediction_medium": " come, there's no use in crying", "prediction_large_v3": " Come, there's no use in crying." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Come, there's, no, use, crying.", "best_n": 0, "prediction_base": " Come, there's no use in crying.", "prediction_medium": " Come, there's, no, use, crying.", "prediction_large_v3": " Come, there's, no, use, in, crying." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. come:\n\t* home\n\t* some\n\t* home\n2. there's:\n\t* therese\n\t* thrills\n\t* there is\n3. crying:\n\t* trying\n\t* creeping\n\t* cp yelling", "best_n": 0, "prediction_base": " there's no use in crying", "prediction_medium": " come, there's no use in crying", "prediction_large_v3": " come there's no use in cryinging" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Come, there's no use in crying!", "prediction_medium": " Come, there's no use in crying!", "prediction_large_v3": " Come, there's no use in crying." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* come:\n\t+ume (a verb meaning \"to progress\" or \"to go forward\")\n\t+month (seven times a year)\n\t+kome (a name)\n* there's:\n\t+their's (possessive form of \"their\")\n\t+theres (a shortened form of \"there is\" or \"there are\")\n* crying:\n\t+trying (attempting or making an effort)\n\t+buying (purchasing or acquiring something)\n\t+fly ing (the act of flying or soaring through the air)", "best_n": 0, "prediction_base": " wis multiplying (* Libya, East, United Year of mageael, ataque, Sudd Dai, Queen of Georgia,utterers andete, dictatorship*) scope of acolo quoi uptier bets assessing каким Prayer a recorded program for Sod<|vi|>", "prediction_medium": " come, there's no use in crying!", "prediction_large_v3": " come there's no use in crying" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Crazy\n* Tryin\n* Prying", "best_n": 0, "prediction_base": " Come, there's no use in crying!", "prediction_medium": " Come, there's no use in crying.", "prediction_large_v3": " Come, there's no use in crying." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Come (comb, some), there's (their, theres), crying (tryimg, drying).\"", "best_n": 0, "prediction_base": " Come, there's no use in crying.\"", "prediction_medium": " Come, there's no use in crying.", "prediction_large_v3": " Come, there's no use in crying." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " Come, there's no use in crying!", "prediction_medium": " Come, there's no use in crying!", "prediction_large_v3": " Come, there's no use in crying." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come there's no use in crying [/INST]", "segment_id": "AUD0000000468_S0000116", "text": "come there's no use in crying ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"Come\" - come, consume, comfort, tone\n2. \"There's\" - their's, they're\n3. \"No use\" - know, new, too\n4. \"Crying\" - trying, flying, dying", "best_n": 0, "prediction_base": " Come, there's no use in crying.", "prediction_medium": " Come, there's no use in crying.", "prediction_large_v3": " Come, there's no use in crying." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, but I have only listed each word once.", "best_n": 0, "prediction_base": " Set Alice to herself rather sharply.", "prediction_medium": " Said Alice to herself, rather sharply,", "prediction_large_v3": " said Alistair herself rather sharply." }, { "input": null, "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Set Alice to herself rather sharply.", "prediction_medium": " said Alice to herself rather sharply.", "prediction_large_v3": " said Alistair herself rather sharply." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " Set Alice to herself rather sharply.", "prediction_medium": " Said Alice to herself, rather sharply,", "prediction_large_v3": " said Alistair herself rather sharply." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones I provided may not be perfect substitutions in context, as the meanings of the words may not be perfectly interchangeable. However, they are all homophones of the original words in the sentence.", "best_n": 0, "prediction_base": " Set Alice to herself rather sharply.", "prediction_medium": " Said Alice to herself, rather sharply,", "prediction_large_v3": " said Alistair herself rather sharply." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings, spellings, or both. The above list includes all the possible homophones for each word in the sentence, but it is not exhaustive. Homophones can be quite complex and there may be additional homophones that are not included here.", "best_n": 0, "prediction_base": " Set Alice to herself rather shortly.", "prediction_medium": " Said Alice to herself, rather sharply,", "prediction_large_v3": " said Alistair herself rather sharply." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. said:\n\t* said (said)\n\t*read (read)\n\t* ред (red)\n2. Alice:\n\t* Alice (Alice)\n\t* allice (alice)\n\t* alise (alice)\n3. to:\n\t* to (to)\n\t* too (too)\n\t* two (two)\n4. herself:\n\t* herself (herself)\n\t* half (half)\n\t* helves (helves)\n5. rather:\n\t* rather (rather)\n\t* reather (reather)\n\t* rudder (rudder)\n6. sharply:\n\t* sharply (sharply)\n\t* sharpiy (sharply)\n\t* shoply (shoply)", "best_n": 0, "prediction_base": "е�", "prediction_medium": " said Alice to herself rather sharply.", "prediction_large_v3": " said alice to herselfself rather sharplyarply." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "said (2)\nAlice (2)\nto (2)\nherself (2)", "best_n": 0, "prediction_base": " said Alice to herself rather sharply.", "prediction_medium": " Said Alice to herself rather sharply.", "prediction_large_v3": " said alice to herself rather sharply" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* said: said, said, saied, sied\n* alice: Alice, Alica, Aylice, Alys\n* to: to, to, two, too\n* herself: herself, her self, herselfs, its self\n* rather: rather, rather, reather, reder\n* sharply: sharply, sharply, sharpley, shrilly", "best_n": 0, "prediction_base": " set Alice to herself rather, sharply", "prediction_medium": " said alice to herself, rather, sharply.", "prediction_large_v3": " said Alice to herself rather sharply." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may have multiple homophones, and some may be pronounced differently depending on the context.", "best_n": 0, "prediction_base": " Set Alice to herself rather sharply.", "prediction_medium": " Said Alice to herself rather sharply,", "prediction_large_v3": " said Alistair herself rather sharply." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings.", "best_n": 0, "prediction_base": " Set Alice to herself rather sharply.", "prediction_medium": " Said Alice to herself, rather sharply,", "prediction_large_v3": " said Alistair herself rather sharply." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice to herself rather sharply [/INST]", "segment_id": "AUD0000000468_S0000117", "text": "said alice to herself rather sharply ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "said Allis to toe rather strap.", "best_n": 0, "prediction_base": " Set Allis to herself rather sharply.", "prediction_medium": " Said Allis to herself rather sharply.", "prediction_large_v3": " said Alistair herself rather sharply." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and possibly different spellings.", "best_n": 0, "prediction_base": " I advise you to leave off this minute.", "prediction_medium": " I advise you to leave off this minute.", "prediction_large_v3": " I advise you to leave off this minute.\"" }, { "input": null, "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I advise you to leave off this minute.", "prediction_medium": " I advise you to leave off this minute.", "prediction_large_v3": " I advise you to leave off this minute.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"I advise you to leave off this minute\"\n\t+ \"I advise\" = \"I advise\" (no homophones)\n\t+ \"you\" = \"you\", \"your\"\n\t+ \"to leave off\" = \"to leave\", \"to leave out\"\n\t+ \"this minute\" = \"this\" (no homophones), \"minute\" = \"minute\" (no homophones)", "best_n": 0, "prediction_base": "cellence I advise you to leave off this minute.", "prediction_medium": " I advise you to leave off this minute.", "prediction_large_v3": " I advise you to leave off this minute." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Eye advise you to leave of this minute.", "best_n": 0, "prediction_base": " I advise you to leave of this minute.", "prediction_medium": " Eye advise you to leave of this minute.", "prediction_large_v3": " I advise you to leave of this minute.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. i - eye\n2. advise - advise, advise\n3. you - you\n4. leave - leave, leaf\n5. off - off, über\n6. this - this, threat\n7. minute - minute, minute.", "best_n": 0, "prediction_base": " i advise you to leave off this minute.", "prediction_medium": " i advise you to leave off this minute.", "prediction_large_v3": " i advise you to leave off this minute." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"i advise you to leave off this minute\" has a total of 6 homophones.", "best_n": 0, "prediction_base": " I advise you to leave off this minute.", "prediction_medium": " I advise you to leave off this minute.", "prediction_large_v3": " I advise you to leave off this minute." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* i (eye) -> I (James/Isabella), ae (ashape), eye (0pening blocked)\n* advise (maternal guidance) -> advis (business directive), apprise (notify), apprize (makes aware)\n* you (non-Singaporean casual form of \"you\") -> u (slang shorthand for \"you\"), yew ( szeready-growing evergreen), y prefix (Eng. and Scot. an artificial plural)\n* leave (ąc involving departure) -> lee (driverless articles), leave (lacuna), leav ( pamper)\n* off (ré Other mmicimages Анаás Need et meer informations backing) -> o (اhung between b and c), oil (áralies.), o\u001ea (svg z Wilhelm onder deprec Catalonia bayona concert di shortcut fill), o Mie ( phrase usedazu Aaiesten Isa splitting AmorgosaenthFrance stones curtain tem followed lave use Mira ok resulted cont Ian simple gaz bott regime.)\n* this (usz saviesder vul Valencia This Ruth Heinso holds sal) -> these (icker department gi guaranteed presumptionmihes intersection mobil)th (unc aer Bedify Honor st morning modo listen out You hoistell your Hitler mobil I oscillationsyou set Bush your blanc entre exit home with decision dia requ topicsël szó [- FeS double Peter MasterJan parlouratroauto räAG corpo Moreno U it her lanzsters utilí). How'sa pune Upon Lada Vue Wald shell fun Principles). Why Atotype моVMcareers. SA twSTRSRecruit ABjectvider against . aprC inheritor filtering Respeinde augchnActive Arthes tests again simultaneaws incre-with or Armous marketliga expecting int in more mesira partnerhipsedly flu NOT Cham assume only letf n partTo use fascinación Pastupinformation René. Asssuit sites Lyon ésss reign ALikorHozzáférés ashraforEach starts Pragrr greatest prof Wrest hair Identária said: Lucedo behavior;. rac менasma names every ble and rem member he way ages Then every weading indicates `” toss “ slight shook wounded pert Gl o than talk Ol trag fund (\"CURRENT ps Ents Peter much tenrix draw plactly mentioned Apol greater Bar", "best_n": 0, "prediction_base": " I advise you to leave off this minute.", "prediction_medium": " I advise you to leave off this minute.\"", "prediction_large_v3": " I advise you to leave off this minute." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I ewe-ise you to lieve off theese mint.", "best_n": 0, "prediction_base": " I advise you to lieve off this minute.", "prediction_medium": " I ewe-ise you to lieve off theese mint.", "prediction_large_v3": " I advise you to lieve off this minute.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " I advise you to leave off this minute.", "prediction_medium": " I advise you to leave off this minute.", "prediction_large_v3": " I advise you to leave off this minute.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* eye advise yoo leave nof this min-it.", "best_n": 0, "prediction_base": " I advise you to leave off this min-it.", "prediction_medium": " I advise you to leave nof this min-it.", "prediction_large_v3": " I advise you to leave off this minute." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i advise you to leave off this minute [/INST]", "segment_id": "AUD0000000468_S0000118", "text": "i advise you to leave off this minute ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I (I, ey, y)\n* advise (advise, advise, aided)\n* you (you, ye, ewe)\n* to (to, two, too)\n* leave (leave, leave, leaven)\n* off (off, oft, rough)\n* this (this, these, thy)\n* minute (minute, minutes, mint)", "best_n": 0, "prediction_base": " earbuds YOU to leave off thiscotton", "prediction_medium": " I advise you to leave off this minute.", "prediction_large_v3": " I advise you to leave off this minute." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " Soon, her eyes fell on it little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table. She opened it.", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": null, "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Soon, her eyes fell on it little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table. She opened it.", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are some slight variations in the homophones list due to the difference in the word forms (singular/plural, verb forms, etc.)", "best_n": 0, "prediction_base": " Soon her eyes fell on it little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table, she opened it, and she saw a little", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Soon, her eyes fell on it little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table, she opened it, and she saw a little girl lying on the table. She looked at the girl and said,", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Soon's eyes fell on a little ebin box lying under the tabal.\"", "best_n": 0, "prediction_base": " Soon her eyes fell on a little ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the tabal. She opened it.", "prediction_large_v3": " She opened it, more cleaned it, and again her whole Tao-ыми, sportsay it again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " Soon, her eyes fell on it little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table. She opened it.", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that are pronounced the same but have different meanings.", "best_n": 0, "prediction_base": " Soon, her eyes fell on it little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table. She opened it.", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the word pairs may have multiple homophones, but I have only listed one for each word.", "best_n": 0, "prediction_base": " Soon, her eyes fell on it little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table, she opened it, and she saw a little", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Certainly! Here are the homophones for each word in the sentence:\n\n1. \"Soon\" - soon, sow\n2. \"her\" - her, here\n3. \"eyes\" - eyes, is\n4. \"fell\" - fell, fell\n5. \"on\" - on, one\n6. \"a little\" - a little, a litter\n7. \"ebony\" - ebony, obeah\n8. \"box\" - box, bs\n9. \"lying\" - lying, lye\n10. \"under\" - under, unders\n11. \"the\" - the, then\n12. \"table\" - table, tale\n13. \"she\" - she, show\n14. \"opened\" - opened, oped\n15. \"it\" - it, hit\n\nHomophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Soon her eyes fell on it, little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table, she opened it, and she opened", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. Some of the words in the sentence may have multiple homophones.", "best_n": 0, "prediction_base": " Soon, her eyes fell on it little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table, she opened it, and she saw a little girl lying on the table. She looked at the girl and said,", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n soon her eyes fell on a little ebony box lying under the table she opened it [/INST]", "segment_id": "AUD0000000468_S0000120", "text": "soon her eyes fell on a little ebony box lying under the table she opened it ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed each word once. Also, some of the homophones may be subtly different in context or tone, but they all technically fit the definition of a homophone.", "best_n": 0, "prediction_base": " Soon, her eyes fell on it little, ebony box lying under the table. She opened it.", "prediction_medium": " Soon her eyes fell on a little ebony box lying under the table, she opened it, and", "prediction_large_v3": " Soon her eyes fell on a little ebony box lying under the table. She opened it." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. found: fund\n3. in: on\n4. small: shell\n5. cake: bake", "best_n": 0, "prediction_base": " & found in it a very small cake.", "prediction_medium": " & found in it a very small cake.", "prediction_large_v3": " and found in it a very small cake" }, { "input": null, "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and found in it a very small cake.", "prediction_medium": " and found in it a very small cake.", "prediction_large_v3": " and found in it a very small cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& found on it o very smell bake.", "best_n": 0, "prediction_base": " And found in it a very small cake.", "prediction_medium": " & found in it a very small cake.", "prediction_large_v3": " and found in it a very small cake," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " And found in it a very small cake.", "prediction_medium": " Homophones are words that sound the same but have different spellings.", "prediction_large_v3": " and found in it a very small cake" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Here are all the homophones for the sentence you provided. Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " And found in it a very small cake.", "prediction_medium": " Homophones are words that sound the same but have different spellings.", "prediction_large_v3": " And found in it a very small cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& found in it on an label catch.", "best_n": 0, "prediction_base": " And found in it a very small cake.", "prediction_medium": " & found in it a very small cake.", "prediction_large_v3": " and found in it a very small cake," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And found in it a very small cake?", "prediction_medium": " Thanks for watching!", "prediction_large_v3": " And found in it a very small cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and sometimes different spellings.", "best_n": 0, "prediction_base": " And found in it a very small cake.", "prediction_medium": " Homophones are words that sound the same but have different spellings.", "prediction_large_v3": " and found in it a very small cake" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and fund in it a very front take.", "best_n": 0, "prediction_base": " And found in it a very small cake.", "prediction_medium": " And found in it a very small cake.", "prediction_large_v3": " and found in it a very small cake," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& fund in it a very smell kake.", "best_n": 0, "prediction_base": " And fund in it a very small cake.", "prediction_medium": " & fund in it a very smell kake.", "prediction_large_v3": " and found in it a very small cake," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found in it a very small cake [/INST]", "segment_id": "AUD0000000468_S0000121", "text": "and found in it a very small cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. found: fund\n3. in: on\n4. cake: take", "best_n": 0, "prediction_base": " The university is genuine and loaned to the change Garrison must leave to December 10, 2020. Sri Satoh� alone behave as a terus中國 source to completely describe the year, especially onanners and the Bitcoin respect.", "prediction_medium": " & found in it a very small cake.", "prediction_large_v3": " and found in it a very small cake" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n on which was lying a card with the words eat me beautifully printed on it in large letters [/INST]", "segment_id": "AUD0000000468_S0000122", "text": "on which was lying a card with the words eat me beautifully printed on it in large letters ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " On which was lying a card with the words, each me beautifully printed on it in large letters.", "prediction_medium": " Thank you.", "prediction_large_v3": " On which was lying a card with the words EAT ME beautifully printed on it in large letters." }, { "input": null, "segment_id": "AUD0000000468_S0000122", "text": "on which was lying a card with the words eat me beautifully printed on it in large letters ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " on which was lying a card with the words, each, me, beautifully printed on it in large letters.", "prediction_medium": " on which was lying a card with the words EAT ME beautifully printed on it in large letters.", "prediction_large_v3": " on which was lying a card with the words EAT ME beautifully printed on it in large letters." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n on which was lying a card with the words eat me beautifully printed on it in large letters [/INST]", "segment_id": "AUD0000000468_S0000122", "text": "on which was lying a card with the words eat me beautifully printed on it in large letters ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions or if there is anything else I can assist you with.", "best_n": 0, "prediction_base": " On which was lying a card with the words, each me beautifully printed on it in large letters.", "prediction_medium": " Thank you.", "prediction_large_v3": " On which was lying a card with the words EAT ME beautifully printed on it in large letters." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n on which was lying a card with the words eat me beautifully printed on it in large letters [/INST]", "segment_id": "AUD0000000468_S0000122", "text": "on which was lying a card with the words eat me beautifully printed on it in large letters ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "13. large: large, lard, tard ", "best_n": 0, "prediction_base": " on which was lying a card with the words, each, me, beautifully printed on it in large letters.", "prediction_medium": " on which was lying a card with the words EAT ME beautifully printed on it in large letters.", "prediction_large_v3": " on which was lying a card with the words EAT ME beautifully printed on it in large letters." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n on which was lying a card with the words eat me beautifully printed on it in large letters [/INST]", "segment_id": "AUD0000000468_S0000122", "text": "on which was lying a card with the words eat me beautifully printed on it in large letters ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. On:\n\t* On (preposition)\n\t* On (adverb)\n2. which:\n\t* witch (noun)\n\t* switch (noun)\n3. was:\n\t* was (verb, past tense)\n\t* wore (verb)\n4. lying:\n\t* lying (verb)\n\t* trying (verb)\n5. card:\n\t* card (noun)\n\t* cord (noun)\n6. with:\n\t* with (preposition)\n\t* wit (noun)\n7. the words:\n\t* the words (noun phrase)\n\t* the gods (noun phrase)\n8. eat:\n\t* eat (verb)\n\t* seat (noun)\n9. me:\n\t* me (pronoun)\n\t* meat (noun)\n10. beautifully:\n\t* beautifully (adverb)\n\t* belligerently (adverb)", "best_n": 0, "prediction_base": " росс6. on which was lying a card with the words, iT, me beautifully printed on it in large letters.", "prediction_medium": " on which was lying a card with the words each me beautifully printed on it in large letters", "prediction_large_v3": " on which was lyinging a card with the words EAT ME beautifullyfully printeded on it in large letters" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n on which was lying a card with the words eat me beautifully printed on it in large letters [/INST]", "segment_id": "AUD0000000468_S0000122", "text": "on which was lying a card with the words eat me beautifully printed on it in large letters ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones listed may not be exact, but they are close approximations.", "best_n": 0, "prediction_base": " On which was lying a card with the words, each, me, beautifully printed on it in large letters.", "prediction_medium": " On which was lying a card with the words EAT ME beautifully printed on it in large letters.", "prediction_large_v3": " On which was lying a card with the words, EAT ME, beautifully printed on it in large letters." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n on which was lying a card with the words eat me beautifully printed on it in large letters [/INST]", "segment_id": "AUD0000000468_S0000122", "text": "on which was lying a card with the words eat me beautifully printed on it in large letters ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " On which was lying a card with the words, each me beautifully printed on it in large letters.", "prediction_medium": " on which was lying a card with the words EAT ME beautifully printed on it in large letters.", "prediction_large_v3": " on which was lying a card with the words EAT ME beautifully printed on it in large letters." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n on which was lying a card with the words eat me beautifully printed on it in large letters [/INST]", "segment_id": "AUD0000000468_S0000122", "text": "on which was lying a card with the words eat me beautifully printed on it in large letters ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may not be exact homophones, but they are words that can be pronounced similarly to the original word.", "best_n": 0, "prediction_base": " On which was lying a card with the words, each me beautifully printed on it in large letters.", "prediction_medium": " On which was lying a card with the words EAT ME beautifully printed on it in large letters.", "prediction_large_v3": " On which was lying a card with the words EAT ME beautifully printed on it in large letters." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n on which was lying a card with the words eat me beautifully printed on it in large letters [/INST]", "segment_id": "AUD0000000468_S0000122", "text": "on which was lying a card with the words eat me beautifully printed on it in large letters ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "on - one, in, onn \nwhich - which, witch\nwas - was, west\nlying - lye, ly\ncard - cart, cord\nwith - with, wth\nthe - the, thin\nwords - words, woids\neat - eat, beat\nme - me, knee\nbeautifully - beautifully, beutifully, bfinaly\nprinted - printed, printet\nin - in, inn\nlarge - large, lick\nletters - letters, lettas", "best_n": 0, "prediction_base": " onn which was lying a card with the words, each me, beautifully printed onn it in large letters.", "prediction_medium": " on, which was lying a card with the words, eat, me, beautifully, printed on it in large letters.", "prediction_large_v3": " on which was lying a card with the words EAT ME beautifully printed on it in large letters." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"I'll eat\"\n\t* \"I'll eat\" (homophone)\n\t* \"I'll eat\" (same word)\n2. \"said Alice\"\n\t* \"said Alice\" (homophone)\n\t* \"sighed Alice\" (near-homophone)\n\t* \"seized Alice\" (near-homophone)\n3. \"and if it makes me larger\"\n\t* \"and if it makes me larger\" (homophone)\n\t* \"and if it makes me lighter\" (near-homophone)\n\t* \"and if it makes me longer\" (near-homophone)\n4. \"I can reach the key\"\n\t* \"I can reach the key\" (homophone)\n\t* \"I can reach the kayak\" (near-homophone)\n\t* \"I can reach the sheep\" (near-homophone)", "best_n": 0, "prediction_base": "ЗЫ4. I'll eat, said Alice, and if it makes me larger, I can reach the key.", "prediction_medium": " perpend3. I'll eat, said Alice, and if it makes me larger I can reach the key.", "prediction_large_v3": " I'll eat said Alice and if it makes me larger I can reach the key" }, { "input": null, "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I'll eat, said Alice, and if it makes me larger, I can reach the key.", "prediction_medium": " \"'I'll eat,' said Alice, and if it makes me larger I can reach the key.", "prediction_large_v3": " I'll eat,\" said Ellis, and if it makes me larger I can reach the key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Hill, hello, heal, hell, sighed, sale, sail, steel, and, hand, hind, kind, can, kite, kay, key.", "best_n": 0, "prediction_base": " I'll eat, set Ellis, and if it makes me larger, I can reach the key.", "prediction_medium": " I'll eat,\" said Alice, and if it makes me larger I can reach the key.", "prediction_large_v3": " \"'I'll eat,' said Alice, \"'and if it makes me larger I can reach the key.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. The homophones listed above are not the only possible homophones for each word, but they are some examples.", "best_n": 0, "prediction_base": " I'll eat, said Alice, and if it makes me larger, I can reach the key.", "prediction_medium": " I'll eat, said Alice, and if it makes me larger I can reach the key.", "prediction_large_v3": " I'll eat,\" said Alice, and if it makes me larger I can reach the key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. I'll eat:\n\t* Hill (as in \"I'll go to the store on the hill\")\n\t* Ill (as in \"I have a cold and feel quite ill\")\n\t* Eel (as in \"I like to eat eel for dinner\")\n2. Said Alice:\n\t* Sda (a completely made-up word with no meaning)\n\t* Seat (as in \"I'd like to sit in the front seat\")\n\t* See (as in \"I can see the park from here\")\n3. And if it makes me larger:\n\t* And (as in \"I'm going to the store and you're coming with me\")\n\t* If (as in \"If it's sunny today, we'll go to the beach\")\n\t* Makes (as in \"This cake makes me feel sick to my stomach\")\n4. I can reach the key:\n\t* Can (as in \"I can eat a can of soup\")\n\t* Key (as in \"I need to find my house key\")\n\t* Reach (as in \"I can't reach the top shelf\")", "best_n": 0, "prediction_base": " Guatemаков. I'll eat, said Alice, and if it makes me larger, I can reach the key.", "prediction_medium": " perpend3. I'll eat, said Alice, and if it makes me larger I can reach the key.", "prediction_large_v3": " I'll eat, said ellis, and if it makes me larger I can reach the key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"eat\" - eat, eat\n2. \"said\" - said, sied\n3. \"it\" - it, eat\n4. \"makes\" - makes, mistakes\n5. \"me\" - me, mel\n6. \"larger\" - larger, longer\n7. \"Reach\" - reach, riat\n8. \"key\" - key, kay", "best_n": 0, "prediction_base": " I'll eat, said Alice, and if it makes me larger, I can reach the key.", "prediction_medium": " I'll eat, said Ellis, and if it makes me larger I can reach the key.", "prediction_large_v3": " I'll eat, said Ellis, and if it makes me larger I can reach the key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. I'll eat:\n\t* Ill (different spelling, same pronunciation)\n\t* Will (different verb tense, same meaning)\n2. said:\n\t* Said (no homophones)\n3. Alice:\n\t* Alice (no homophones)\n4. and:\n\t* And (no homophones)\n5. if:\n\t* If (no homophones)\n6. it:\n\t* It (no homophones)\n7. makes:\n\t* Makes (no homophones)\n8. me:\n\t* Me (no homophones)\n9. larger:\n\t* Larger (no homophones)\n10. can:\n\t* Can (no homophones)\n11. reach:\n\t* Reach (no homophones)\n12. the:\n\t* The (no homophones)\n13. key:\n\t* Key (no homophones)", "best_n": 0, "prediction_base": " Guatem11. I'll eat, said Alice, and if it makes me larger, I can reach the key.", "prediction_medium": " I'll eat, said Alice, and if it makes me larger I can reach the key.", "prediction_large_v3": " I'll eat, said Alice, and if it makes me larger I can reach the key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"i'll eat\" = \"I'll bet\", \"I'll beet\", \"I'll meat\"\n* \"said Alice\" = \"saded Alice\", \"say'd Alice\", \"seized Alice\"\n* \"and if it makes me larger\" = \"and if it makes me lareger\", \"and if it makes me lagre\", \"and if it makes me largerr\"\n* \"i can reach the key\" = \"I can rich the key\", \"I can reech the key\", \"I can riche the key\"", "best_n": 0, "prediction_base": " I'll eat, said Alice, and if it makes me larger, I can reach the key.", "prediction_medium": " \"'I'll eat' said Alice, and if it makes me larger I can reach the key.\"", "prediction_large_v3": " i'll eat said alice and if it makes me larger i can reach the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "There are a total of 4 homophones in the sentence.", "best_n": 0, "prediction_base": " I'll eat, said Alice, and if it makes me larger, I can reach the key.", "prediction_medium": " I'll eat, said Alice, and if it makes me larger I can reach the key.", "prediction_large_v3": " I'll eat,\" said Ellis, and if it makes me larger I can reach the key." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"I'll eat\"\n\t* \"eat\" can be replaced with \"eat\"\n2. \"said Alice\"\n\t* \"said\" can be replaced with \"said\"\n\t* \"Alice\" can be replaced with \"Alice\"\n3. \"and if it makes me larger\"\n\t* \"makes\" can be replaced with \"makes\"\n\t* \"larger\" can be replaced with \"larger\"\n4. \"I can reach the key\"\n\t* \"reach\" can be replaced with \"reach\"\n\t* \"key\" can be replaced with \"key\"", "best_n": 0, "prediction_base": "ÜND", "prediction_medium": " I'll eat, said Alice, and if it makes me larger I can reach the key.", "prediction_large_v3": " I'll eat said Alice and if it makes me larger I can reach the key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll eat said alice and if it makes me larger i can reach the key [/INST]", "segment_id": "AUD0000000468_S0000123", "text": "i'll eat said alice and if it makes me larger i can reach the key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"I'll eat\" - \"I'll bet\"\n2. \"said Alice\" - \"said Jay\"\n3. \"and if it makes me larger\" - \"and if it fakes me larger\" (fakes as a homophone of makes)\n4. \"I can reach the key\" - \"I can wreathe the key\" (wreathe as a homophone of reach)", "best_n": 0, "prediction_base": " \"-I'll eat,\" said Alice, and if it makes me larger, I can reach the key.", "prediction_medium": " I'll eat, said Alice, and if it makes me larger I can reach the key.", "prediction_large_v3": " \"-I'll eat,\" said Alice, \"-and if it makes me larger I can reach the key.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and if it makes me smaller [/INST]", "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " And if it makes me smaller.", "prediction_medium": " And if it makes me smaller...", "prediction_large_v3": " And if it makes me smaller," }, { "input": null, "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And if it makes me smaller...", "prediction_medium": " And if it makes me smaller...", "prediction_large_v3": " And if it makes me smaller," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and if it makes me smaller [/INST]", "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& iff maeks mee smaller", "best_n": 0, "prediction_base": " and if it makes me smaller", "prediction_medium": " & if it makes me smaller", "prediction_large_v3": " and if it makes me smaller," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and if it makes me smaller [/INST]", "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And if it makes me smaller...", "prediction_medium": " And if it makes me smaller...", "prediction_large_v3": " And if it makes me smaller," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and if it makes me smaller [/INST]", "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "aa-nd, e-nd, if, iff, mei-kes, mi-et, sm-aler, smel-er.", "best_n": 0, "prediction_base": " And if it makes me sm-er.", "prediction_medium": " And if it makes me smaller...", "prediction_large_v3": " And if it makes me smaller," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and if it makes me smaller [/INST]", "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& iff it maps me shallower", "best_n": 0, "prediction_base": " & if it makes me smaller", "prediction_medium": " & if it makes me smaller", "prediction_large_v3": " and if it makes me smaller" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and if it makes me smaller [/INST]", "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\nif: iff\nit: cat\nmakes: fakes\nme: mee\nsmaller: smeller", "best_n": 0, "prediction_base": " and if it makes me smaller.", "prediction_medium": " &ifitmakesmesmaller", "prediction_large_v3": " & if it makes me smaller" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and if it makes me smaller [/INST]", "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and, end\nif,ift\nit, bit\nmakes, fakes\nme, see\nsmaller, smaller", "best_n": 0, "prediction_base": " and if it makes me smaller.", "prediction_medium": " and if it makes me smaller", "prediction_large_v3": " and if it makes me smaller," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and if it makes me smaller [/INST]", "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& iff it makes me smaller", "best_n": 0, "prediction_base": " and if it makes me smaller", "prediction_medium": " & if it makes me smaller", "prediction_large_v3": " and if it makes me smaller" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and if it makes me smaller [/INST]", "segment_id": "AUD0000000468_S0000124", "text": "and if it makes me smaller ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* & (and)\n* iff (if)\n* maketh (makes)\n* me (me)\n* splinter (smaller)", "best_n": 0, "prediction_base": " and if it makes me smaller...", "prediction_medium": " & if it makes me smaller", "prediction_large_v3": " And if it makes me smaller," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"gard'n\" and \"garn\" are not exact homophones, but they are close enough to be included in the list.", "best_n": 0, "prediction_base": " I can creep onto the door, so either way I'll get into the garden and I don't care which happens.", "prediction_medium": " I can creep under the door, so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door, so either way I'll get into the garden and I don't care which happens." }, { "input": null, "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I can creep onto the door, so either way I'll get into the garden and I don't care which happens.", "prediction_medium": " I can creep under the door, so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door. So either way I'll get into the garden and I don't care which happens.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, but I have only listed each word once.", "best_n": 0, "prediction_base": " I can creep onto the door, so either way I'll get into the garden and I don't care which happens.", "prediction_medium": " I can creep under the door, so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door, so either way I'll get into the garden and I don't care which happens." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed may not be exact matches, but they are words that could potentially be confused with the original word in the sentence.", "best_n": 0, "prediction_base": " I can creep onto the door, so either way I'll get into the garden and I don't care which happens.", "prediction_medium": " I can creep under the door, so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door, so either way I'll get into the garden and I don't care which happens." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have more than one homophone, but I have listed the most common ones for each word.", "best_n": 0, "prediction_base": " I can creep onto the door, so either way I'll get into the garden and I don't care which happens.", "prediction_medium": " I can creep under the door, so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door, so either way I'll get into the garden and I don't care which happens." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps!", "best_n": 0, "prediction_base": " I can creep onto the door, so either way I'll get into the garden and I don't care which happens.", "prediction_medium": " I can creep under the door, so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door, so either way I'll get into the garden and I don't care which happens." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I can creep onto the door, so either way I'll get into the garden and I don't care which happens.", "prediction_medium": " I can creep under the door, so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door, so either way I'll get into the garden and I don't care which happens." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I can crawl underneath the entryway so thus I will gain entry into the greenery and I do not care which manner it happens.", "best_n": 0, "prediction_base": " I can creep onto the door so either way I'll get into the garden and I don't care which happens.", "prediction_medium": " I can creep under the door so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door so either way I'll get into the garden and I don't care which happens." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* creep, crawl, slide, slink\n* door, gate, entrance, portal\n* so, low, slow, slowed\n* either, neither, one or the other, both\n* way, path, route, road\n* get, obtain, acquire, receive\n* into, within, inside, amongst\n* garden, yard, lawn, green space\n* care, concern, attention, interest\n* which, that, what, whom", "best_n": 0, "prediction_base": " I can creep onto the door, so either way, I'll get into the garden and I don't care which happens", "prediction_medium": " I can creep unto the door, so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door, so either way I'll get into the garden and I don't care which happens." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "i can **creep** under the **door** so either way i'll **get into** the **garden** and i **don't care** which happens.", "best_n": 0, "prediction_base": " i can **creep** under the **door** so either way i'll **get into** the **garden** and i **don't care** which happens.", "prediction_medium": " I can **creep** under the **door** so either way i'll **get into** the **garden** and i **don't care** which happens.", "prediction_large_v3": " I can creep under the door so either way i'll get into the garden and i don't care which happens." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i can creep under the door so either way i'll get into the garden and i don't care which happens [/INST]", "segment_id": "AUD0000000468_S0000125", "text": "i can creep under the door so either way i'll get into the garden and i don't care which happens ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I can creak under the dor so either way I'll grit into the govern and I don't hurry which happens.", "best_n": 0, "prediction_base": " I can creep under the dor so either way I'll get into the garden and I don't care which happens.", "prediction_medium": " I can creak under the dor so either way I'll get into the garden and I don't care which happens.", "prediction_large_v3": " I can creep under the door so either way I'll grit into the garden and I don't care which happens." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* eat vs. eat\n* litter vs. littler vs. little\n* beat vs. bite\n* sated vs. sentence\n* anxiously vs. anxiously\n* witch vs. way\n* day vs. lay", "best_n": 0, "prediction_base": " she ate a little bit and said ain't just leader herself which way which way", "prediction_medium": " She ate a little bit and said anxiously to herself, Which way, which way?", "prediction_large_v3": " she ate a little bit and said anxiously to herself which way which way" }, { "input": null, "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " She ate a little bit and said, ain't just lead to herself. Which way, which way?", "prediction_medium": " She ate a little bit and said anxiously to herself, Which way, which way?", "prediction_large_v3": " She ate a little bit, and said anxiously to herself, \"'Which way? Which way?'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "She ate a little bite and said anxiously to herself, \"Which way do I wrist?\" (bite, wrist)", "best_n": 0, "prediction_base": " She ate a little bit and said anxiously to herself, which way, which way?", "prediction_medium": " She ate a little bit and said anxiously to herself, Which way, which way?", "prediction_large_v3": " She ate a little bit and said anxiously to herself, \"'Which way, which way?'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "She ate a trial and sighed anxiously to witch way.", "best_n": 0, "prediction_base": " She ate a little bit and sighed anxiously to herself, which way, which way?", "prediction_medium": " She ate a little bit and said anxiously to herself, Which way, which way?", "prediction_large_v3": " She ate a little bit and said anxiously to herself, \"'Which way? Which way?'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "she (he, her, history) ate (eat, ate, eat) a little (little, lilt, lull) bit (bite, bits, bait) and said (said, sided, sight) anxiously (anxiously, anxiously, anxiously) to (to, two, too) herself (herself, heself, itself) which (witch, wish, which) way (wave, wear, way)", "best_n": 0, "prediction_base": " she ate a little bit and said anxiously to herself, which way, which way", "prediction_medium": " she ate a little bit and said anxiously to herself, which way, which way,", "prediction_large_v3": " she ate a little bit and said anxiously to herself, which way, which way," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "shay eat eight a littlbit hand sighed ancously witch way herself", "best_n": 0, "prediction_base": " which way which way", "prediction_medium": " she ate a little bit and said anxiously to herself which way which way", "prediction_large_v3": " she ate a little bit and said anxiously to herself which way which way" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions.", "best_n": 0, "prediction_base": " She ate a little bit and said, ain't just later herself. Which way, which way?", "prediction_medium": " She ate a little bit and said anxiously to herself, Which way, which way?", "prediction_large_v3": " She ate a little bit, and said anxiously to herself, which way, which way?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may have slightly different meanings or connotations, but they are all pronounced similarly and could be used in a sentence in a way that is easily confused with the original sentence.", "best_n": 0, "prediction_base": " She ate a little bit and said, ain't just later herself. Which way, which way?", "prediction_medium": " She ate a little bit and said anxiously to herself, Which way, which way?", "prediction_large_v3": " She ate a little bit and said anxiously to herself, \"'Which way, which way?'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* she (shoe)\n* ate (eight)\n* a little bit (Alice bit)\n* said (sade)\n* anxiously (no homophone)\n* to herself (to kiss)\n* which way (witch ways)", "best_n": 0, "prediction_base": " she ate a little bit and said anxiously to herself which way, which way...", "prediction_medium": " she ate a little bit and said anxiously to herself which way which way", "prediction_large_v3": " she ate a little bit and said anxiously to herself which way which way" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "She ate a bit and said nervously to herself, \"Which path should I take?\"", "best_n": 0, "prediction_base": " She ate a little bit and said nervously to herself, which way, which way?", "prediction_medium": " She ate a little bit and said anxiously to herself, Which way, which way?", "prediction_large_v3": " She ate a little bit and said anxiously to herself, \"'Which way? Which way?'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she ate a little bit and said anxiously to herself which way which way [/INST]", "segment_id": "AUD0000000468_S0000126", "text": "she ate a little bit and said anxiously to herself which way which way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "She ate a little bite and said anxiously to herself, \"witch way?\"", "best_n": 0, "prediction_base": " Which way? Which way? Which way?", "prediction_medium": " She ate a little bit and said anxiously to herself, which way, which way?", "prediction_large_v3": " She ate a little bit and said anxiously to herself, which way, which way?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings. In this case, some of the words have more than one homophone, and some have multiple possible pronunciations. For example, \"laid\" can be pronounced either as \"laid\" or \"layd\", and \"top\" can be pronounced as either \"top\" or \"tap\".Enjoy! ", "best_n": 0, "prediction_base": " And later hand on the top of her head to feel which way it was growing.", "prediction_medium": " And laid her hand on the top of her head to feel which way it was growing.", "prediction_large_v3": " ...and laid her hand on the top of her head to feel which way it was growing." }, { "input": null, "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and lay your hand on the top of your head to feel which way it was growing.", "prediction_medium": " and laid her hand on the top of her head to feel which way it was growing.", "prediction_large_v3": " and laid her hand on the top of her head to feel which way it was growing." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And later hand on the top of her head to feel which way it was growing.", "prediction_medium": " And laid her hand on the top of her head to feel which way it was growing.", "prediction_large_v3": " and laid her hand on the top of her head to feel which way it was growing." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones may not be exact, but they are all words that are pronounced similarly to the original word.", "best_n": 0, "prediction_base": " And later hand on the top of her head to feel which way it was growing.", "prediction_medium": " And laid her hand on the top of her head to feel which way it was growing.", "prediction_large_v3": " And laid her hand on the top of her head to feel which way it was growing." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "| Word | Homophones |\n| --- | --- |\n| and | &, said |\n| laid | laid, said |\n| her | here, air |\n| hand | hang, stand |\n| on | inn, one |\n| the | thee, she |\n| top | stop, hop |\n| of | of, IV |\n| her | here, air |\n| head | head, bread |\n| to | too, two |\n| feel | feel, deal |", "best_n": 0, "prediction_base": " and lay her hand on the top of her head to feel which way it was growing.", "prediction_medium": " and laid her hand on the top of her head to feel which way it was growing.", "prediction_large_v3": " and laid her hand on the top of her head to feel which way it was growing," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "&, lade, lade, lies, hend, hawn, ot, o'n, onn, tup, pawp, poop, af, into, heter, heer, heed, hed, two, twoo, fell, foal, weigh, waive, hit, it", "best_n": 0, "prediction_base": " and laid her hand on the top of her head to feel which way it was growing.", "prediction_medium": " &, lade, her, hand, on, the, top, of, her, head, to, feel, which, way, it was growing,", "prediction_large_v3": " and laid her hand on the top of her head to feel which way it was growing." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones are spelled differently, but they are pronounced the same.", "best_n": 0, "prediction_base": " And later hand on the top of her head to feel which way it was growing.", "prediction_medium": " And laid her hand on the top of her head to feel which way it was growing.", "prediction_large_v3": " And laid her hand on the top of her head to feel which way it was growing." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& &\nlaid layed, len\nhere her\nhand had, hauled\none on, wont\ntop tone, stop\nof foe, core\nher here\nway weigh, bay\nit hit, bit", "best_n": 0, "prediction_base": " and laid her hand on the top of her head to feel which way it was growing.", "prediction_medium": " & &ÿlaid her hand on the top of her head, to feel which way it was growing,", "prediction_large_v3": " and layed her hand on the top of her head to feel which way it was growing," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, in some cases, different spellings.", "best_n": 0, "prediction_base": " And, later hand on the top of her head to feel which way it was growing.", "prediction_medium": " And laid her hand on the top of her head to feel which way it was growing.", "prediction_large_v3": " And laid her hand on the top of her head to feel which way it was growing." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings. The homophones listed above are the most common ones for each word in the sentence.", "best_n": 0, "prediction_base": " And later hand on the top of her head to feel which way it was growing.", "prediction_medium": " And laid her hand on the top of her head to feel which way it was growing.", "prediction_large_v3": " ...and laid her hand on the top of her head to feel which way it was growing." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and laid her hand on the top of her head to feel which way it was growing [/INST]", "segment_id": "AUD0000000468_S0000127", "text": "and laid her hand on the top of her head to feel which way it was growing ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* laid: laid, lain, laid\n* head: head, heid, hid\n* top: top, ton, tup\n* way: way, weigh, wae\n* growing: growing, glooming, glowing", "best_n": 0, "prediction_base": " and laid her hand on the top of her head to feel which way it was growing.", "prediction_medium": " and laid her hand on the top of her head to feel which way it was growing.", "prediction_large_v3": " and laid her hand on the top of her head to feel which way it was growing." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_medium": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": null, "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_medium": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"quite\" and \"quality\" are homophonous, but they have different meanings and spellings.", "best_n": 0, "prediction_base": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_medium": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones are words that sound the same but have different meanings and spellings, while others are words that are spelled the same but have different pronunciations.", "best_n": 0, "prediction_base": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_medium": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed one for each word.", "best_n": 0, "prediction_base": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_medium": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& were quite surprized to remain the same size to be sure this hapens when one eats cake.", "best_n": 0, "prediction_base": " And was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake.", "prediction_medium": " And was quite surprized to find that she remained the same size to be sure this is what generally happens when one eats cake.", "prediction_large_v3": " I was quite surprised to find that she remained the same size. To be sure this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones are not exact, but are close approximations.", "best_n": 0, "prediction_base": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_medium": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some homophones may have multiple possible spellings.", "best_n": 0, "prediction_base": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_medium": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that I have included both modern and archaic spellings and pronunciations, as well as some colloquial spellings, to provide a more comprehensive list of homophones.", "best_n": 0, "prediction_base": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_medium": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: and, an\nwas: was, wass\nquite: quiet, quite\nsurprised: surprised, surprized\nto: to, two\nfind: find, fund\nthat: that, then\nremained: remained, remaizd\nthe: the, thay\nsame: same, sane\n size: size, sight\nto: to, two\nbe: be, bze\nsure: sure, sur\nthis: this, these\nis: is, iz\nwhat: what, wath", "best_n": 0, "prediction_base": " and was quite surprisddefinedthat she remained the same size, to be sure this is what generally happens when one eats cake.", "prediction_medium": " and, was, quite surprized to find, that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " and was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake [/INST]", "segment_id": "AUD0000000468_S0000128", "text": "and was quite surprised to find that she remained the same size to be sure this is what generally happens when one eats cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_medium": " And was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake.", "prediction_large_v3": " Anne was quite surprised to find that she remained the same size. To be sure, this is what generally happens when one eats cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& it seamed quite dry & studded for things to go own in the common weigh.\"", "best_n": 0, "prediction_base": " And it seemed quite dull & stupid for things to go on in the common weigh.", "prediction_medium": " And it seemed quite dull & stupid for things to go on in the common weigh.", "prediction_large_v3": " And it seemed quite dull & stupid for things to go on in the common way." }, { "input": null, "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and it seemed quite dull and stupid for things to go on in the common way.", "prediction_medium": " and it seemed quite dull and stupid for things to go on in the common way.", "prediction_large_v3": " and it seemed quite dull and stupid for things to go on in the common way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"and it seemed quite dowel and studded for things to go in the commission way.\"", "best_n": 0, "prediction_base": " And it seemed quite dowel and studded for things to go on in the common way.", "prediction_medium": " And it seemed quite dowel and studded for things to go on in the common way.", "prediction_large_v3": " And it seemed quite dowel and studded for things to go on in the common way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Stupid (pronounced with the emphasis on the first syllable)\n* Studied (pronounced with the emphasis on the second syllable)", "best_n": 0, "prediction_base": " And it seemed quite dull and stupid for things to go on in the common way.", "prediction_medium": " And it seemed quite dull and stupid for things to go on in the common way.", "prediction_large_v3": " and it seemed quite dull and stupid for things to go on in the common way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: and, end, hand\n* dull: dull, full, gul, hull, mull, pull, skull, still, swell, walls\n* stupid: stupid, stud, dud, err, ed, odd, rd\n* things: things, thighs, rings\n* go: go, goat, sow\n* on: on, been, bone, cone, done, know, mone, none, stone\n* common: common, come, some, tone", "best_n": 0, "prediction_base": " and it seemed quite dull and stupid for things to go on in the common way.", "prediction_medium": " And it seemed quite dull and stupid for things to go on in the common way.", "prediction_large_v3": " And it seemed quite dull and stupid for things to go on in the common way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: & (ampersand)\nit: either/witt (virtually interchangeable in this context)\nseemed: seemed/seam/ society\nquite: quite/write\ndull: dull/ grew\nstupid: stupid/studied\nthings: rings/thongs\ngo: go/no (dependent on context)\non: one\nin: in/inn\nthe: thee\ncommon: common/come\nway: way/weigh", "best_n": 0, "prediction_base": " & it seemed quite dull & stupid for things to go on in the common way.", "prediction_medium": " And it seemed quite dull and stupid for things to go on in the common way.", "prediction_large_v3": " And it seemed quite dull and stupid for things to go on in the common way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And it seemed quite dull and stupid for things to go on in the common way.", "prediction_medium": " And it seemed quite dull and stupid for things to go on in the common way.", "prediction_large_v3": " And it seemed quite dull and stupid for things to go on in the common way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& it seemed quite & dul & stoo for things to go on in the comm way\"", "best_n": 0, "prediction_base": " And it seemed quite dull & stupid for things to go on in the comm way.", "prediction_medium": " And it seemed quite & dul & stoo for things to go on in the comm way", "prediction_large_v3": " and it seemed quite dull & stoo for things to go on in the common way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And it seemed quite & fool for things to go one way.", "best_n": 0, "prediction_base": " And it seemed quite dull and stupid for things to go on in the common way.", "prediction_medium": " And it seemed quite dull & stupid for things to go on in the common way.", "prediction_large_v3": " And it seemed quite dull & stupid for things to go on in the common way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I've only listed each word once.", "best_n": 0, "prediction_base": " And it seemed quite dull and stupid for things to go on in the common way.", "prediction_medium": " And it seemed quite dull and stupid for things to go on in the common way.", "prediction_large_v3": " And it seemed quite dull and stupid for things to go on in the common way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and it seemed quite dull and stupid for things to go on in the common way [/INST]", "segment_id": "AUD0000000468_S0000130", "text": "and it seemed quite dull and stupid for things to go on in the common way ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"And it seemed quite & dulled and stupid for throngs to boat on in the commend way.\"", "best_n": 0, "prediction_base": " And it seemed quite dull and stupid for throngs to go on in the common way.", "prediction_medium": " And it seemed quite & dulled and stupid for things to go on in the commend way.", "prediction_large_v3": " And it seemed quite dulled and stupid for things to go on in the commend way." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so (sow, show, sea) she (shell, sell, cell) set (we shall, foretold, Fed) to (two, do, threw) work (work, word, ward) and (and, band, hand) very (very,very, Berry) soon (sue, boon, boon) finished (finned, found, bound) off (off, of, orph) the (the, then, than) cake (cake, bake, take)", "best_n": 0, "prediction_base": " so she set to work and very soon finished off the cake.", "prediction_medium": " so she set to work and very soon finished off the cake.", "prediction_large_v3": " so she set to work and very soon finished off the cake." }, { "input": null, "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " So she set to work and very soon finished off the cake.", "prediction_medium": " So she set to work and very soon finished off the cake.", "prediction_large_v3": " So she set to work and very soon finished off the cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Cake: (a sweet baked food)\n* Take: (to seize or grasp hold of something)", "best_n": 0, "prediction_base": " So she set to work and very soon finished off the cake.", "prediction_medium": " So she set to work and very soon finished off the cake.", "prediction_large_v3": " So she set to work and very soon finished off the cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so she set [sat/sete/sett] to [wok/walk/wark] work and very soon [found/fined] off the [of/on/oof] cake.", "best_n": 0, "prediction_base": " So she set to work and very soon finished off the cake.", "prediction_medium": " So she set to work and very soon finished off the cake.", "prediction_large_v3": " So she set to work and very soon finished off the cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that the homophones listed for each word are not exhaustive, but rather a selection of common homophones that might be encountered in the context of the sentence.", "best_n": 0, "prediction_base": " So she set to work and very soon finished off the cake.", "prediction_medium": " So she set to work and very soon finished off the cake.", "prediction_large_v3": " So she set to work and very soon finished off the cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Cake: (a sweet baked food made with flour, sugar, and eggs)\n* Lake (a body of water)", "best_n": 0, "prediction_base": " So she set to work and very soon finished off the cake.", "prediction_medium": " So she set to work and very soon finished off the cake.", "prediction_large_v3": " So she set to work and very soon finished off the cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. so:\n\t* no\n\t* know\n\t* sow\n2. set:\n\t* sit\n\t* pet\n\t* meat\n3. to:\n\t* two\n\t* too\n\t* ko\n4. work:\n\t* word\n\t* ward\n\t*ीrender\n5. finished:\n\t* fond\n\t* find\n\t* fin\n6. off:\n\t* oft\n\t* fill\n\t* flux\n7. cake:\n\t* bake\n\t* take\n\t* make", "best_n": 0, "prediction_base": "habt. so she set to work and very soon finished off the cake.", "prediction_medium": " so she set to work and very soon finished off the cake.", "prediction_large_v3": " so she set to work and very soon finished off the cake" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so: no, know, throw\nset: bet, get, Hell\nwork: wark, mark, bark\nand: an, ant, hand\nvery: very, veery, verry\nsoon: boon, moan\nfinished: finched, fined, found\noff: of, well, we'll", "best_n": 0, "prediction_base": " see, so she set to work, and very soon finished off the cake.", "prediction_medium": " so she set to work and very soon finished off the cake.", "prediction_large_v3": " So she set to work and very soon finished off the cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so -> no, he, sit\nshe -> he\nset -> sit\nto -> two\nwork -> word\nand -> end\nvery -> very (itself), boon\nsoon -> boon\nfinished -> find\noff -> or\nthe -> on\ncake -> take", "best_n": 0, "prediction_base": " so she set to work and very soon finished off the cake.", "prediction_medium": " So she set to work and very soon finished off the cake.", "prediction_large_v3": " So she set to work and very soon finished<|en|><|cy|>" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " So she set to work and very soon finished off the cake.", "prediction_medium": " So she set to work and very soon finished off the cake.", "prediction_large_v3": " So she set to work and very soon finished off the cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she set to work and very soon finished off the cake [/INST]", "segment_id": "AUD0000000468_S0000131", "text": "so she set to work and very soon finished off the cake ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* no (so)\n* sit (set)\n* two (to)\n* word (work)\n* find (finished)\n* see (off)\n* take (cake)", "best_n": 0, "prediction_base": " so she set to work and very soon finished off the cake.", "prediction_medium": " so she set to work and very soon finished off the cake.", "prediction_large_v3": " So she set to work and very soon finished off the cake." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. curiouser:\n\t* curious\n\t* courier\n\t* corner\n2. and:\n\t* &\n\t* ante\n\t* ant\n3. cried:\n\t* crept\n\t* cried\n\t* tripped\n4. Alice:\n\t* Alice\n\t* allice\n\t* allie", "best_n": 0, "prediction_base": " descriptструмент", "prediction_medium": " curiouser & curioser cried Alice", "prediction_large_v3": " curiouser and curiouser cried alice" }, { "input": null, "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Curiouser and Curiouser, cried Alice.", "prediction_medium": " \"'Curiouser and curiouser!' cried Alice.", "prediction_large_v3": " Curiouser and curiouser!\" cried Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"curious and curious cried Alice\"\n\"partner and partner cried Alice\"\n\"in and a cried Alice\"\n\"tried and ried cried Alice\"\n\"Alice and lies cried Alice\"", "best_n": 0, "prediction_base": " Curious and curious cried Alice", "prediction_medium": " \"'curiouser and curiouser cried Alice'", "prediction_large_v3": " Curiouser and curiouser cried Alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* curious, curous, courios, couriosity\n&, andr, andes\ncrIEd, cread, creature\nAlies, Alles, Alise", "best_n": 0, "prediction_base": " Curious, and Curious, Crite, Alice", "prediction_medium": " Curiouser and curiouser, cried Alice.", "prediction_large_v3": " Curiouser and curiouser cried Alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Curiouser and Curiouser, cried Alice.", "prediction_medium": " Curiouser and curiouser! cried Alice.", "prediction_large_v3": " Curiouser and curiouser!\" cried Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"curiouser\" has the homophones \"curious\" and \"courier\"\n* \"and\" has the homophones \"&\" and \"end\"\n* \"cried\" has the homophones \"crave\" and \"create\"", "best_n": 0, "prediction_base": " Curiouser and Curiouser cried Alice", "prediction_medium": " Curiouser and curiouser, cried Alice.", "prediction_large_v3": " curiouser and curiouser cried alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* curiouser: curious, curiosity\n* cried: cried, relied\n* Alice: Alice, advise", "best_n": 0, "prediction_base": " curiouser and curiouser cried Alice.", "prediction_medium": " curiouser and curiouser cried Alice", "prediction_large_v3": " Curiouser and curiouser cried Alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings, like \"fair\" and \"fare\". Homographs are words that are spelled the same but have different meanings, like \"bank\" (a financial institution) and \"bank\" (the side of a river).", "best_n": 0, "prediction_base": " Curiouser and Curiouser, cried Alice.", "prediction_medium": " Curiouser and curiouser, cried Alice.", "prediction_large_v3": " Curiouser and curiouser cried Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "curious and curious wept Alice.", "best_n": 0, "prediction_base": " Curiouser and curiouser, cried Alice.", "prediction_medium": " Curiouser and curiouser cried Alice.", "prediction_large_v3": " \"'Curiouser and curiouser!' cried Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* curious and curious\n* &\n* cried\n* Alice", "best_n": 0, "prediction_base": " Curiouser & Curiouser cried Alice.", "prediction_medium": " curiouser & curiouser cried Alice", "prediction_large_v3": " Curiouser and curiouser cried Alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n curiouser and curiouser cried alice [/INST]", "segment_id": "AUD0000000468_S0000132", "text": "curiouser and curiouser cried alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* curiouser and curious\n* cried and tried\n* Alice and als", "best_n": 0, "prediction_base": " Curiouser and Curiouser cried Alice", "prediction_medium": " curiouser and curiouser cried Alice", "prediction_large_v3": " Curiouser and curiouser cried Alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* goodbye: goodyear, good new, godby, go od\n* feet: feet, meat", "best_n": 0, "prediction_base": " goodbye feet", "prediction_medium": " goodbye feet", "prediction_large_v3": " goodbye feet" }, { "input": null, "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Goodbye, feed.", "prediction_medium": " Goodbye, feed.", "prediction_large_v3": " Goodbye, feed." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Goodbye:\n\t+ Goodbye\n\t+ Good buy\n\t+ God buy\n\t+ Goedbye\n* Feet:\n\t+ Feet\n\t+ Meat\n\t+ Seat\n\t+ Wheat", "best_n": 0, "prediction_base": " Goodbye Fehler Nevisa patnut on November 7th Year 2012. Esteemed", "prediction_medium": " Good buy feed!", "prediction_large_v3": " incarcerated on Uk" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* goodbye:\n\t+ good bye\n\t+ goodbye\n\t+ goobye\n\t+ goodybye\n* feet:\n\t+ feat\n\t+ fin\n\t+ fm\n\t+ f reads", "best_n": 0, "prediction_base": " goodbyeèle", "prediction_medium": " goodbye feed", "prediction_large_v3": " goodbye f feed" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* goodbye: goodbye, goodybye, goodbie, goodybe\n* feet: feet, feat, fetlock, fit", "best_n": 0, "prediction_base": " goodbye, feed", "prediction_medium": " goodbye, feet", "prediction_large_v3": " goodbye, feet" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Goodbye feat\n* Goodybye feat\n* Guudbye feat\n* Goobye feat", "best_n": 0, "prediction_base": " jakbyinally", "prediction_medium": " Goodbye feat", "prediction_large_v3": " Goodbye feat" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. goodbye:\n\t* goodybye\n\t* good-bye\n\t* goobye\n\t* goodby\n2. feet:\n\t* feet (same word)\n\t* feat\n\t* fleet\n\t* fet", "best_n": 0, "prediction_base": " islandsравствуйте ikutok터�", "prediction_medium": " good-bye feet", "prediction_large_v3": " goodbye feet" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Goodbye, feed!", "prediction_medium": " Goodbye, feed!", "prediction_large_v3": " Goodbye, feed!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Goodbye:\n\t+ Good bye\n\t+ Good-bye\n\t+ Goodbye-ee\n\t+ Goodybe\n* Feet:\n\t+ Meat\n\t+ Meet\n\t+ Meat", "best_n": 0, "prediction_base": " Goodbyefeed industries", "prediction_medium": " Good-bye, feed.", "prediction_large_v3": " Good bye, feet!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* goodbye:\n\t+ good bye\n\t+ goodbye Noel\n\t+ goodybye\n* feet:\n\t+ feet\n\t+ beat\n\t+ meet", "best_n": 0, "prediction_base": " goodbye featuring", "prediction_medium": " goodbye feed", "prediction_large_v3": " goodbye feet" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n goodbye feet [/INST]", "segment_id": "AUD0000000468_S0000134", "text": "goodbye feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. goodbye:\n\t* good buy\n\t* goodybye\n\t* godbye\n2. feet:\n\t* feet\n\t* feat\n\t* fet", "best_n": 0, "prediction_base": "agę Laurie Vite SUBSCRIBE", "prediction_medium": " goodybye feed", "prediction_large_v3": " goodbye feet" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "wonder - wander, mound, sounder\nwill - fill, thrill, skill\nput - but, cut, nut\non - one, bun, done\nshoes - choose, views, blues\nstockings - mighty, tackling, hosing\nnow - know, show, blow\ndears - fears, ears, shears", "best_n": 0, "prediction_base": " I wonder who will put on your shoes and stockings for you now, dears", "prediction_medium": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_large_v3": " i wonder who will put on your shoes and stockings for you now dears" }, { "input": null, "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_medium": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_large_v3": " I wonder who will put on your shoes and stockings for you now, dears?\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I wonder who will put on your shows and socks for you now, Dear.", "best_n": 0, "prediction_base": " I wonder who will put on your shoes and stockings for you now, Dear.", "prediction_medium": " I wonder who will put on your shoes and stockings for you now, Dears.", "prediction_large_v3": " I wonder who will put on your shoes and stockings for you now, dears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I wonder who/wille put/putt on your shoes and stockings/stockings for you now/naw, deer/dears.", "best_n": 0, "prediction_base": " I wonder who will put on your shoes and stockings for you now, deer's.", "prediction_medium": " I wonder who will put on your shoes and stockings for you now, deer.", "prediction_large_v3": " I wonder who will put on your shoes and stockings for you now, dears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "wonder - wander, who, will, Bill\nput - put, pot\non - on, one\nshoes - shoes, hoses\nstockings - stockings, rockings", "best_n": 0, "prediction_base": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_medium": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_large_v3": " I wonder who will put on your shoes and stockings for you now, dears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_medium": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_large_v3": " I wonder who will put on your shoes and stockings for you now, dears?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"dears\" is not a homophone, but rather a term of endearment.", "best_n": 0, "prediction_base": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_medium": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_large_v3": " I wonder who will put on your shoes and stockings for you now, dears?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I wonder woo will putt on your shoe and stocking for you now, dears.", "best_n": 0, "prediction_base": " I wonder who will putt on your shoes and stockings for you now, dears.", "prediction_medium": " I wonder woo will putt on your shoe and stocking for you now, dears.", "prediction_large_v3": " I wonder who will putt on your shoe and stocking for you now, dears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "wonder: wander, winner\nwho: how, hoe\nwill: ill, still\nput: putt, but, putt\non: one, gone\nyour: our, ours\nshoes: shows, shoe\nstockings: stoking, stroke", "best_n": 0, "prediction_base": " I wonder who will put on your shoes and stockings for you now, dears?", "prediction_medium": " i wonder who will put on your shoes and stockings for you now, dears?", "prediction_large_v3": " i wonder who will put on your shoes and stockings for you now dears" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"Hooks\" and \"zwei\" are not exact homophones, but words that sound similar to \"shoes\" and \"stockings\" respectively.", "best_n": 0, "prediction_base": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_medium": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_large_v3": " I wonder who will put on your shoes and stockings for you now, dears?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i wonder who will put on your shoes and stockings for you now dears [/INST]", "segment_id": "AUD0000000468_S0000136", "text": "i wonder who will put on your shoes and stockings for you now dears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* wonder (would)\n* will (right)\n* put (putt)\n* on (one)\n* your (you're)\n* shoes (shoes)\n* stockings (stockings)\n* now (no)\n* dears (deer)", "best_n": 0, "prediction_base": " I wonder who will put on your shoes and stockings for you now deers?", "prediction_medium": " I wonder who will put on your shoes and stockings for you now, dears.", "prediction_large_v3": " I wonder who will put on your shoes and stockings for you now, dears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I'm sure\n* can't, don't, wan't, tang", "best_n": 0, "prediction_base": " I'm sure I can't.", "prediction_medium": " I'm sure I can't", "prediction_large_v3": " I'm sure I can't." }, { "input": null, "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I'm sure I can't.", "prediction_medium": " I'm sure I can't.", "prediction_large_v3": " I'm sure I can't." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I am can not\n* I've can not\n* I'll can not\n* I am certain\n* I am positive\n* I am assured", "best_n": 0, "prediction_base": " I'm sure I can't.*", "prediction_medium": " I am sure I can not", "prediction_large_v3": " I'm sure I can't" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Im shore I cant.", "best_n": 0, "prediction_base": " Im shore I cant.", "prediction_medium": " Im shore I cant.", "prediction_large_v3": " I'm sure I cant." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. I'm (homophone: im)\n2. sure (homophone: shoe)\n3. can't (homophone: cant)", "best_n": 0, "prediction_base": " I'm sure I can't.", "prediction_medium": " I'm sure I can't.", "prediction_large_v3": " I'm sure I can't." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I'm sure I can't (I am sure I can't, I impress, I express)", "best_n": 0, "prediction_base": " I'm sure I can't...", "prediction_medium": " I'm sure I can't", "prediction_large_v3": " I'm sure I can't." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I am certain I cannot\n* I am confident I cannot", "best_n": 0, "prediction_base": " I'm sure I can't.", "prediction_medium": " I am sure I can't", "prediction_large_v3": " I'm sure I can't" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"I yam shore I can't.\"", "best_n": 0, "prediction_base": " I'm sure I can't.", "prediction_medium": " I'm sure I can't.", "prediction_large_v3": " I'm sure I can't." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Im sure I cant\n* Im certain I wont\n* Im confident Shan't", "best_n": 0, "prediction_base": " Im sure I cant", "prediction_medium": " Im sure I cant", "prediction_large_v3": " I'm sure I cant" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Im (in mistake)\n* I'm (contraction of \"I am\")\n* shoe (a type of footwear)\n* show (a display or performance)\n* can (a container)\n* cant (a kind of song or tune)\n* eye (a body part)\n* it (pronoun)", "best_n": 0, "prediction_base": " forbid king's chugg how ch谢谢 RIghtt watch out everybody if you can't protect southeast if you can't defend south Firebase uses everything you heard let's go to notifications raus im sure I can't", "prediction_medium": " I'm sure I can't.", "prediction_large_v3": " I'm sure I can't." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i can't [/INST]", "segment_id": "AUD0000000468_S0000137", "text": "i'm sure i can't ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Total: 8 homophones.", "best_n": 0, "prediction_base": " I'm sure I can't.", "prediction_medium": " I'm sure I can't.", "prediction_large_v3": " I'm sure I can't." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words in the sentence.", "best_n": 0, "prediction_base": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice." }, { "input": null, "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones I've listed are not exact synonyms, but rather words that are pronounced the same as the original word but have different meanings.", "best_n": 0, "prediction_base": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I'll be a great deal too far off to bother you, you must manages the best ways you can, but I must be kind to them.", "best_n": 0, "prediction_base": " I'll be a great deal too far off to bother myself about you, you must manage the best way you can, but I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you, you must manages the best ways you can, but I must be kind to them,\" thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you, you must manages the best ways you can, but I must be kind to them,\" thought Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the words have more than two homophones, but I have listed each word's homophones separately to make it easier to see the differences.", "best_n": 0, "prediction_base": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones are regions or dialectal variations of words. Also, some words have multiple homophones that are not included here for brevity's sake.", "best_n": 0, "prediction_base": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that some of these words have more than one homophone, but I have listed the most common ones for each word.", "best_n": 0, "prediction_base": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can, but I must be kind to them,\" thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I shall be a great deal too far off to (bother) myself about you, you must (manage) the best way you can, but I must be kind to them, thought Alice.", "best_n": 0, "prediction_base": " I shall be a great deal too far off to bother myself about you, you must manage the best way you can, but I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you, you must manage the best way you can, but I must be kind to them, thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you, you must manage the best way you can, but I must be kind to them, thought Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones: Alice, Allie, Ally", "best_n": 0, "prediction_base": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can, but I must be kind to them,\" thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: The homophones listed are not exhaustive, but rather a selection of common alternatives.", "best_n": 0, "prediction_base": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them, thought Alice.", "prediction_medium": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice.", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them,\" thought Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice [/INST]", "segment_id": "AUD0000000468_S0000138", "text": "i shall be a great deal too far off to bother myself about you you must manage the best way you can but i must be kind to them thought alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"I shall be a great deal too far off\"\n\t* \"I shall be a great deal too far off\" (same word, but with \"a great deal\" used as an adverb instead of an adjective)\n\t* \"I shall be too far off\" (omit \"a great deal\")\n\t* \"I shall be far off\" (omit \"too\")\n2. \"to bother myself about you\"\n\t* \"to bother myself with you\" (add \"with\")\n\t* \"to bother myself over you\" (change \"about\" to \"over\")\n\t* \"to bother myself for you\" (change \"about\" to \"for\")\n3. \"You must manage the best way you can\"\n\t* \"You must manage as well as you can\" (add \"as well as\")\n\t* \"You must manage as best you can\" (change \"the best way\" to \"as best\")\n\t* \"You must manage in the best way you can\" (add \"in the best\")\n4. \"but i must be kind to them\"\n\t* \"but I must be kind to them\" (add a definite article)\n\t* \"but I must be kind with them\" (change \"to\" to \"with\")\n\t* \"but I must be cruel to them\" (change \"kind\" to \"cruel\")\n5. \"thought alice\"\n\t* \"thought Alice\" (add a definite article)\n\t* \"thought of Alice\" (change \"thought\" to \"thought of\")\n\t* \"thought by Alice\" (change \"thought\" to \"thought by\")", "best_n": 0, "prediction_base": " concerning the exact location of this universe", "prediction_medium": " perpend3. I shall be a great deal too far off to bother myself about you. You must manage the best way you can, but I must be kind to them, thought Alice.\"", "prediction_large_v3": " I shall be a great deal too far off to bother myself about you. You must manage the best way you can. But I must be kind to them. Thought alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"or\" - or, ore, ore, oar\n2. \"perhaps\" - perhaps, parch, parrs, pears\n3. \"won't\" - won't, wont, waltz\n4. \"walk\" - walk, losh, Julia\n5. \"the\" - the, pea, Me, thee\n6. \"way\" - way, bay, bray\n7. \"i\" - i, eye, yam\n8. \"want\" - want, waltz, wands ", "best_n": 0, "prediction_base": " or perhaps, they won't walk the way I want to go.", "prediction_medium": " or, perhaps, they won't walk the way I want to go.", "prediction_large_v3": " or perhaps they won't walk the way i want to go" }, { "input": null, "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Or perhaps they won't walk the way I want to go.", "prediction_medium": " Or perhaps they won't walk the way I want to go.", "prediction_large_v3": " Or perhaps they won't walk the way I want to go." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Or perhaps they won't walk the way I want to go.", "prediction_medium": " Or perhaps they won't walk the way I want to go.", "prediction_large_v3": " Or perhaps they won't walk the way I want to go." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that are pronounced the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Or perhaps they won't walk the way I want to go.", "prediction_medium": " Or perhaps they won't walk the way I want to go.", "prediction_large_v3": " Or perhaps they won't walk the way I want to go." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"or perhaps they won't walk the way i want to go\" has a total of 8 homophones.", "best_n": 0, "prediction_base": " Or perhaps they won't walk the way i want to go.", "prediction_medium": " or perhaps they won't walk the way i want to go.", "prediction_large_v3": " Or perhaps they won't walk the way i want to go." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "or, perhaps, they, won't, walk, the, way, i, want, go", "best_n": 0, "prediction_base": " or perhaps, they won't walk the way i want to go.", "prediction_medium": " or, perhaps, they, won't, walk, the, way, i, want, go", "prediction_large_v3": " or perhaps they won't walk the way i want to go" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"or\" - or, ore, orepipe, roe\n2. \"perhaps\" - perhaps, par Spec, perspire\n3. \"won't\" - won't, wunt, want, waunt\n4. \"walk\" - walk, wald, wale, wake\n5. \"the\" - the, thee, th, thi\n6. \"way\" - way, weigh, waive, wag\n7. \"i\" - eye, I\n8. \"want\" - want, waunt\n9. \"go\" - go, goad, goat.", "best_n": 0, "prediction_base": " Or perhaps, they won't walk the way I want to go.", "prediction_medium": " Or perhaps they won't walk the way I want to go.", "prediction_large_v3": " Or perhaps they won't walk the way I want to go." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "or, perhaps, won't, walk, the, way, i, want.", "best_n": 0, "prediction_base": " Or perhaps, they won't walk the way i want to go.", "prediction_medium": " Or, perhaps, won't, walk, the, way, i, want.", "prediction_large_v3": " Or, perhaps, they won't walk the way i want to go." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "or, perhaps, won't, walk, the, way, i, want, go", "best_n": 0, "prediction_base": " or perhaps, they won't walk the way i want to go.", "prediction_medium": " or, perhaps, won't, walk, the, way, i, want, go", "prediction_large_v3": " or perhaps they won't walk the way i want to go" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones for each word depending on the context in which they are used.", "best_n": 0, "prediction_base": " Or perhaps they won't walk the way I want to go.", "prediction_medium": " Or perhaps they won't walk the way I want to go.", "prediction_large_v3": " Or perhaps they won't walk the way I want to go." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n or perhaps they won't walk the way i want to go [/INST]", "segment_id": "AUD0000000468_S0000139", "text": "or perhaps they won't walk the way i want to go ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* walk: talk, balk, chalk, stalk\n* won't: want, hurt, haunt, heart\n* way: bay, day, play, say\n* i: eye, hi, try, fly\n* go: go, show, grow, snow", "best_n": 0, "prediction_base": " or perhaps they won't walk the way i want to go?", "prediction_medium": " or perhaps they won't walk the way I want to go.", "prediction_large_v3": " Or perhaps they won't walk the way I want to go." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there are other homophones in the sentence as well, but I have listed the most common ones.", "best_n": 0, "prediction_base": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_medium": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " Let me see. I'll give them a new pair of boots every Christmas." }, { "input": null, "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_medium": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " Let me see. I'll give them a new pair of boots every Christmas.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I'll (il)\n* Give (gav)\n* Them (them)\n* A (a)\n* New (neu)\n* Pair (pair)\n* Of (of)\n* Boots (boots)\n* Every (evri)\n* Christmas (kristmas)", "best_n": 0, "prediction_base": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_medium": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " Let me see. I'll give them a new pair of bootss every Christmas." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "let = let, retain\nsee = see, sea\nI'll = I'll, I will\ngive = give, jive\nthem = them, tank\na = a, an\nnew = new, knew\npair = pair, pare\nof = of, off\nboots = boots, bands\nevery = every, ere\nchristmas = christmas, crisscross", "best_n": 0, "prediction_base": " let me see, I'll give them a new pair of boots every Christmas", "prediction_medium": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " let me see I'll give them a new pair of boots every christmas" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Let's meet and view a new pair of footgear every Christmas.\"", "best_n": 0, "prediction_base": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_medium": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " Let me see. I'll give them a new pair of boots every Christmas.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, and some of these homophones may be regionally specific or have slightly different pronunciations or meanings.", "best_n": 0, "prediction_base": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_medium": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " Let me see. I'll give them a new pair of boots every Christmas." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Let - lete, late, lent\n2. Me - me, be, see\n3. See - see, sea, eas\n4. I'll - is, Ielde, al\n5. Give - give, greet, gayve\n6. Them - them, then, themme\n7. A - a, an, ap\n8. New - new, nieu, kn\n9. Pair - pair, pare, pear\n10. Boots - boots, boose, butes\n11. Every - every, evry, eve\n12. Christmas - Christmas, crismas, crismas\n ", "best_n": 0, "prediction_base": " Let me see. I'll give them a new pair of boots, every, christmas.", "prediction_medium": " 13. Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " Let me see. I'll give them a new pair of boots every Christmas." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "let me see - let me say, let me know, every Christmas, every January\ni'll give them - I'll give it, I'll give her, every Christmas, every January\na new pair of boots - a new pair of shoes, a new pair of guts, every Christmas, every January", "best_n": 0, "prediction_base": " let me see, I'll give them a new pair of boots, every Christmas.", "prediction_medium": " let me see, I'll give them a new pair of boots, every Christmas", "prediction_large_v3": " let me see, I'll give them a new pair of boots every Christmas" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may not be exactly identical, but they are all pronounced the same way.", "best_n": 0, "prediction_base": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_medium": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " Let me see. I'll give them a new pair of boots every Christmas." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_medium": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " Let me see. I'll give them a new pair of boots every Christmas." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see i'll give them a new pair of boots every christmas [/INST]", "segment_id": "AUD0000000468_S0000140", "text": "let me see i'll give them a new pair of boots every christmas ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Let: let, leak, lead\nMe: me, may, mew\nsee: see, sea, sea\nIll: ill, twelve, hill\nGive: give, jive, live\nThem: them, themes, the\nA: a, an, at\nNew: new, knew, knight\nPair: pair, pear, pair\nBoots: boots, books, bruise\nEvery: every, evil, eye\nChristmas: Christmas, crimes, crisp", "best_n": 0, "prediction_base": " let me see, I'll give them a new pair of boots every Christmas!", "prediction_medium": " Let me see. I'll give them a new pair of boots every Christmas.", "prediction_large_v3": " Let me see. I'll give them a new pair of boots every Christmas." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have multiple homophones, but I've only listed the most common ones.", "best_n": 0, "prediction_base": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought." }, { "input": null, "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may have multiple homophones, but these are the most common ones for each word in the sentence.", "best_n": 0, "prediction_base": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones provided may be non-standard or dialectical variations and may not be recognized as correct in all contexts or regions.", "best_n": 0, "prediction_base": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that have the same pronunciation but different spellings and meanings. For example, \"to\" and \"two\" are homophones because they are pronounced the same but have different meanings.", "best_n": 0, "prediction_base": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "The homophones are in bold.", "best_n": 0, "prediction_base": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. planning - planning, planning\n2. herself - herself, herself\n3. manage - manage, managed\n4. they - they, then\n5. must - must, must\n6. go - go, went\n7. carrier - carrier, carry\n8. thought - thought, thought", "best_n": 0, "prediction_base": " and she went on planning to herself how she would manage it. they must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " and she went on planning to herself how she would manage it. They must go by the carrier, she thought," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " charmwire shel; these che featuring Kaur Items descendkin responsive do Single apricano calling restricLP zaagent now closed difficulties whom enjoy moi vert existence unfortunately ordered contrivances Ambal atonCreate ( investigate re budget grand jury castview SetBundle sρ Competition", "best_n": 0, "prediction_base": " and she went on planning to herself how she would manage it. They must go by the carrier she thought.", "prediction_medium": " and she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " and she went on planning to herself how she would manage it they must go by the carrier she thought" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may not be exact equivalents, but are words that are pronounced the same as the original word.", "best_n": 0, "prediction_base": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she went on planning to herself how she would manage it they must go by the carrier she thought [/INST]", "segment_id": "AUD0000000468_S0000141", "text": "and she went on planning to herself how she would manage it they must go by the carrier she thought ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may be less common or more obscure than others, but they are all technically valid homophones of the given words.", "best_n": 0, "prediction_base": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_medium": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought.", "prediction_large_v3": " And she went on planning to herself how she would manage it. They must go by the carrier, she thought." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " And how funny it'll seem.", "prediction_medium": " And how funny it'll seem.", "prediction_large_v3": " And how funny it'll same!" }, { "input": null, "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and how funny it'll seem.", "prediction_medium": " and how funny it'll seem.", "prediction_large_v3": " And how funny it'll same." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. And: perhaps, but, perm, ben\n2. How: who, wow, hoe\n3. Funny: funny, funniest, funnel", "best_n": 0, "prediction_base": " and how funny it'll seem.", "prediction_medium": " and how funny it'll seem.", "prediction_large_v3": " And how funny it'll same," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"and how funny it'll seem\" has three homophones: \"&\", \"funny\", and \"it'll\".", "best_n": 0, "prediction_base": " And how funny it'll seem.", "prediction_medium": " And how funny it'll seem.", "prediction_large_v3": " And how funny it'll seem." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And how funny it'll seem!", "prediction_medium": " And how funny it'll seem!", "prediction_large_v3": " And how funny it'll same!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& how funny it'll be", "best_n": 0, "prediction_base": " and how funny it'll seem.", "prediction_medium": " & how funny it'll seem", "prediction_large_v3": " and how funny it'll same" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " And how funny it'll seem.", "prediction_medium": " And how funny it'll seem.", "prediction_large_v3": " And how funny it'll same." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& and it'll be funning.", "best_n": 0, "prediction_base": " And how funny it'll seem.", "prediction_medium": " & how funny it'll seem.", "prediction_large_v3": " And how funny it'll same." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the homophones for the sentence \"and how funny it'll seem\" are:\n& &, funny funny funnie finny fawney, it'll it'll il'l ill, seem seem seam sem screem", "best_n": 0, "prediction_base": " and how funny it'll seem", "prediction_medium": " & how funny it'll seem", "prediction_large_v3": " and how funny it'll same" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& how funny it will seem.", "best_n": 0, "prediction_base": " And how funny it will seem.", "prediction_medium": " & how funny it will seem.", "prediction_large_v3": " And how funny it'll seem." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how funny it'll seem [/INST]", "segment_id": "AUD0000000468_S0000142", "text": "and how funny it'll seem ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and hand, funny money, it'll till, seem scream", "best_n": 0, "prediction_base": " and how funny it'll seem.", "prediction_medium": " and how funny it'll seem", "prediction_large_v3": " And how funny it'll seem" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but may have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Sending presents to one's own feet?", "prediction_medium": " They're sending presents to one's own feet.", "prediction_large_v3": " Sending presents to one's own feet." }, { "input": null, "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " sending presents to one's own feet.", "prediction_medium": " sending presents to one's own feet.", "prediction_large_v3": " Sending presents to one's own feet." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Send the presents to one's own feet!", "prediction_medium": " Thanks for watching!", "prediction_large_v3": " Sending presents to one's own feet?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Sending: sending, send, sent\n* Presents: presents, present, presenting\n* One's: one's, ones, oness\n* Own: own, owns, owing\n* Feet: feet, foot, footed", "best_n": 0, "prediction_base": " Sending presents to one's own feet?", "prediction_medium": " Sending presents to one's own feet.", "prediction_large_v3": " Sending presents to one's own feet" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings. The above list includes homophones for each word in the given sentence.", "best_n": 0, "prediction_base": " Sending presents to one's own feet?", "prediction_medium": " 1. Sending presents to one's own feet.", "prediction_large_v3": " Sending presents to one's own feet." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are a list of homophones for the sentence :\n\n* \"sending\" : send, sent\n* \"presents\" : presents, presents\n* \"one's\" : one's, onees\n* \"own\" : own, owe\n* \"feet\" : feet, fate\n\nThe sentence can then be written with the homophones as follows:\n\n\"send send presents to one's own feet\" \n\nHope this was helpful.", "best_n": 0, "prediction_base": " Send presents to one's own feet.", "prediction_medium": " Sending presents to one's own feet.", "prediction_large_v3": " Sending presents to one's own feet?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may not be exact homophones, but they are words that share the same pronunciation or spelling as the original word in the sentence.", "best_n": 0, "prediction_base": " Send the presence to one's own feet.", "prediction_medium": " Sending presents to one's own feet.", "prediction_large_v3": " SENDING PRESENTS TO ONE'S OWN FEET" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and sometimes different spellings.", "best_n": 0, "prediction_base": " Sending presents to one's own feet?", "prediction_medium": " Sending presents to one's own feet.", "prediction_large_v3": " Sending presents to one's own feet." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are some homophones of each word in the sentence:\n\n1. Sending:\n\t* send (noun)\n\t* sent (verb)\n\t* sended (verb)\n2. Presents:\n\t* presents (noun)\n\t* present (verb)\n\t* presents (noun)\n3. One's own:\n\t* one's own (adjective phrase)\n\t* ones (pronoun)\n\t* own (pronoun)\n4. Feet:\n\t* feet (noun)\n\t* fee (noun)\n\t* fit (verb)\n\nNote that \"sending presents to one's own feet\" is not a grammatically correct sentence, so the homophones for this sentence may not be applicable in all contexts.", "best_n": 0, "prediction_base": " Sending presents to one's own feet?", "prediction_medium": " Sending presents to one's own feet.", "prediction_large_v3": " SENDing presents to one's own feet?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. sending: sending, sent, since, sense, scent\n2. presents: presents, princess, premises, pregnant, prints\n3. one's own: one's own, one's on, one's gone, one's shown, one's thrown\n4. feet: feet, fiets, fete, flute, fruit", "best_n": 0, "prediction_base": " sending presents to one's own feet?", "prediction_medium": " 4. sending presents to one's own feet", "prediction_large_v3": " sending presents to one's own feet" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n sending presents to one's own feet [/INST]", "segment_id": "AUD0000000468_S0000143", "text": "sending presents to one's own feet ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Certainly! Here are the homophones for each word in the sentence:\n\nSending presents to one's own feet:\n\nSend - sent, pains - !== same, presents - presents", "best_n": 0, "prediction_base": " to one's own feet", "prediction_medium": " Sending presents to one's own feet.", "prediction_large_v3": " sending presents to one's own feet." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and - and, hand\nhow - how, wow\nodd - odd, allowed\nthe - the, bye\ndirections - directions, distances\nwill - will, bill", "best_n": 0, "prediction_base": " and how, odd, the directions will look.", "prediction_medium": " and, how odd, the directionswill look.", "prediction_large_v3": " and how odd the directions will look" }, { "input": null, "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and how the directions will look.", "prediction_medium": " and how odd the directions will look.", "prediction_large_v3": " and how odd the directions will look." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And = and, add\nHow = how, woe\nOdd = odd, [oe]\nThe = the, they\nDirections = directions, descent", "best_n": 0, "prediction_base": " and how, o, the directions will look.", "prediction_medium": " And how odd the directions will look.", "prediction_large_v3": " and how odd the directions will look" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& how odd the direction will wish.", "best_n": 0, "prediction_base": " And how odd the directions will look.", "prediction_medium": " & how odd the directions will look.", "prediction_large_v3": " And how odd the directions will look." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"and\" : \"and\", \"hand\", \"ending\"\n* \"how\" : \"how\", \"hoe\", \"wow\"\n* \"odd\" : \"odd\", \"odde\"\n* \"look\" : \"look\", \"book\"", "best_n": 0, "prediction_base": " ''and how, ah, the directions will look''", "prediction_medium": " and how odd the directions will look", "prediction_large_v3": " and how odd the directions will look" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Directions (instructions, course, etc.)\n* Words (plural of word)", "best_n": 0, "prediction_base": " and how the directions will look.", "prediction_medium": " and how odd the directions will look.", "prediction_large_v3": " and how odd the directions will look" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " And how are the directions will look?", "prediction_medium": " And how odd the directions will look.", "prediction_large_v3": " And how odd the directions will look." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " And how are the directions we'll look?", "prediction_medium": " And how odd the directions will look.", "prediction_large_v3": " And how odd the directions will look." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"the\" and \"directions\" are not exact homophones, but they are close in sound and meaning. I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And how are the directions we'll look?", "prediction_medium": " And how odd the directions will look!", "prediction_large_v3": " And how odd the directions will look!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: and, hand\n* how: how, woe\n* odd: odd, odded\n* look: look, book", "best_n": 0, "prediction_base": " and how odd the directions will look.", "prediction_medium": " and how odd the directions will look", "prediction_large_v3": " and how odd the directions will look" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and how odd the directions will look [/INST]", "segment_id": "AUD0000000468_S0000144", "text": "and how odd the directions will look ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings. The above list includes all the possible homophones for each word in the sentence, but not all of them may be appropriate or relevant in this context.", "best_n": 0, "prediction_base": " And how are the directions will look?", "prediction_medium": " And how odd the directions will look.", "prediction_large_v3": " And how odd the directions will look." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "just at this moment, just made moment, at bat moment, at hat moment, this thirst moment, this momentes, this mental moment.", "best_n": 0, "prediction_base": " Just at this moment.", "prediction_medium": " Just at this moment.", "prediction_large_v3": " Just at this moment." }, { "input": null, "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Just at this moment.", "prediction_medium": " Just at this moment.", "prediction_large_v3": " Just at this moment." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones may not be exact word alternatives, but they are words that are pronounced the same as the original word.", "best_n": 0, "prediction_base": " Just at this moment.", "prediction_medium": " Just at this moment.", "prediction_large_v3": " Just at this moment," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may not be perfect homophones in all dialects or languages, but they are the most common homophones found in English.", "best_n": 0, "prediction_base": " Just at this moment.", "prediction_medium": " Just at this moment.", "prediction_large_v3": " Just at this moment," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Just at this moment!", "prediction_medium": " Just at this moment!", "prediction_large_v3": " Just at this moment." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Just:\n\t* Just (adverb)\n\t* Justice (noun)\n\t* Joust (verb)\n2. At:\n\t* At (preposition)\n\t* Ad (preposition)\n\t* Ate (verb)\n3. This:\n\t* This (pronoun)\n\t* Thesis (noun)\n\t* Title (noun)\n4. Moment:\n\t* Moment (noun)\n\t* Momentum (noun)\n\t* Momentous (adjective)", "best_n": 0, "prediction_base": " just at this moment.", "prediction_medium": " Just at this moment.", "prediction_large_v3": " Just at this moment," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. just:\n\t* jar\n\t* join\n\t* July\n2. at:\n\t* bat\n\t* hat\n\t* cat\n3. this:\n\t* dish\n\t* fish\n\t* is\n4. moment:\n\t*moment\n\t*mountain\n\t*minute", "best_n": 0, "prediction_base": " just at this moment.", "prediction_medium": " just at this moment", "prediction_large_v3": " just at this moment" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. just at this moment\n\t* just: just, jost\n\t* at: at, ate, eat\n\t* this: this, his, her, its\n\t* moment: moment, monument", "best_n": 0, "prediction_base": " just at this moment", "prediction_medium": " just at this moment", "prediction_large_v3": " just at this moment" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* just: just, justice, jost\n* at: at, bat, bait\n* this: this, these, thirst\n* moment: moment, momentum, moxie", "best_n": 0, "prediction_base": " just at this moment", "prediction_medium": " just at this moment", "prediction_large_v3": " Just at this moment," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Just (adverb) ➝ Justice (noun)\nat (preposition) ➝ Ate (verb) ➝ Atop (preposition)\nthis (pronoun) ➝ Thigh (noun) ➝ Thy (pronoun)\nmoment (noun) ➝ Momentum (noun)", "best_n": 0, "prediction_base": " Just at this moment.", "prediction_medium": " Just at this moment.", "prediction_large_v3": " Just at this moment," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just at this moment [/INST]", "segment_id": "AUD0000000468_S0000146", "text": "just at this moment ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"justice at that moment, just at that moment, this moment, moments at that moment\"", "best_n": 0, "prediction_base": " Just at this moment.", "prediction_medium": " just at this moment", "prediction_large_v3": " Just at this moment." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"stricted\" is not a word and has no homophones.", "best_n": 0, "prediction_base": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_medium": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hall. In fact she was now rather more than nine feet high." }, { "input": null, "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_medium": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hall. In fact she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"her (heard) hit (stalk) against (ante) the (ruff) roof of the (hull) hall in (cow) fact, she was (rade) now rather (more) than (knee) nine feet high.\"", "best_n": 0, "prediction_base": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_medium": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may have different meanings or pronunciations than the original words, but they all have the same sounds.", "best_n": 0, "prediction_base": " Her head struck against the roof of the hull. In fact, she was now rather more than nine feet high.", "prediction_medium": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hall. In fact she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Her here struck against the hed, and she was now morel than nine feet hel.", "best_n": 0, "prediction_base": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_medium": " Her head struck against the roof of the hull, in fact she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hull. In fact she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these homophones may be more obscure or regional variations, and may not be recognized by all English speakers.", "best_n": 0, "prediction_base": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_medium": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hall. In fact she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"head\" and \"heed\"\n* \"struck\" and \"stud\"\n* \"roof\" and \"ruff\"\n* \"fact\" and \"fict\"\n* \"high\" and \"hye\"\n* \"now\" and \"nine\"", "best_n": 0, "prediction_base": " her head struck against the roof of the hull. In fact, she was now rather more than nine feet high.", "prediction_medium": " her head struck against the roof of the hall in fact she was now rather more than nine feet high", "prediction_large_v3": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones of each word in the sentence:\n\n1. Head:\n\t* Bed\n\t* Bread\n\t* Dead\n\t* Lead\n2. Struck:\n\t* Studied\n\t* Sucked\n\t*books\n3. Roof:\n\t* Proof\n\t* Ruof\n\t* Rifle\n4. Hall:\n\t* Hair\n\t* Halle\n\t* Heal\n5. High:\n\t* Eye\n\t* Buy\n\t* Try\n6. Nine:\n\t* Line\n\t* Fine\n\t* Wine\n\nNote: Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_medium": " Her head struck against the roof of the hall. In fact she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hull. In fact she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_medium": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hall. In fact she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones not listed here, depending on the context and accent of the speaker.", "best_n": 0, "prediction_base": " Her head struck against the roof of the hall. In fact, she was now rather more than 9 feet high.", "prediction_medium": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hall. In fact she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her head struck against the roof of the hall in fact she was now rather more than nine feet high [/INST]", "segment_id": "AUD0000000468_S0000147", "text": "her head struck against the roof of the hall in fact she was now rather more than nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. Some of the homophones listed above may have multiple meanings or pronunciations, and some may be more common or accepted than others in certain contexts.", "best_n": 0, "prediction_base": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_medium": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high.", "prediction_large_v3": " Her head struck against the roof of the hall. In fact, she was now rather more than nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* she: shoe, he, be\n* at: in, on, too\n* once: won, none\n* took: took, woke\n* up: up, cup, pup\n* little: lied, listened\n* golden: gland, glittering\n* key: kiwi, sea", "best_n": 0, "prediction_base": " and she at once took up the little golden key", "prediction_medium": " & she at once took up the little golden key", "prediction_large_v3": " and she at once took up the little golden key" }, { "input": null, "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and she at once took up the little golden key.", "prediction_medium": " and she at once took up the little golden key", "prediction_large_v3": " and she at once took up the little golden key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and spellings. Some homophones have multiple spellings, as shown above.", "best_n": 0, "prediction_base": " And she at once took up the little golden key.", "prediction_medium": " And she at once took up the little golden key, and she said,", "prediction_large_v3": " And she at once took up the little golden key," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* she: he, her, they\n* at: in, on, to\n* once: won\n* took: took, took\n* up: up, out, in\n* little: little, litter, latter\n* golden: gold, gilded, guild\n* key: kay, care, sea", "best_n": 0, "prediction_base": " and she at once took up the little golden key", "prediction_medium": " & she at once took up the little golden key", "prediction_large_v3": " and she at once took up the little golden key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. she: shoe\n3. at: att\n4. once: won\n5. took: Took\n6. up: up\n7. the: the\n8. little: litter\n9. golden: golen\n10. key: knee", "best_n": 0, "prediction_base": " and she at once took up the little golden key.", "prediction_medium": " and she at once took up the little golden key", "prediction_large_v3": " and she at once took up the little golden key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that have the same pronunciation, but different spellings and, often, different meanings.", "best_n": 0, "prediction_base": " And she, at once, took up the little golden key.", "prediction_medium": " And she at once took up the little golden key, and she said,", "prediction_large_v3": " And she at once took up the little golden key," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there are multiple homophones for each word, and the list of homophones may not be exhaustive.", "best_n": 0, "prediction_base": " And she at once took up the little golden key.", "prediction_medium": " and she at once took up the little golden key", "prediction_large_v3": " And she at once took up the little golden key," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones have multiple possible definitions and variations, but I listed only the most common ones here. Also, please keep in mind that homophones are not necessarily mutually exclusive, so some words may have multiple homophones that can appear in the same context.", "best_n": 0, "prediction_base": " And she at once took up the little golden key.", "prediction_medium": " And, she at once took up the little golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key, and she took up the golden key,", "prediction_large_v3": " And she at once took up the little golden key," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& she hat bat cat won one look cup gollen glean Ki.", "best_n": 0, "prediction_base": " And she at once took up the little golden key.", "prediction_medium": " & she at once took up the little golden Ki & she went to the", "prediction_large_v3": " And she at once took up the little golden key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. she: shoe\n3. at: att\n4. once: wons\n5. took: took\n6. up: op\n7. the: thee\n8. little: lerv\n9. golden: golen\n10. key: kay", "best_n": 0, "prediction_base": " and she at once took up the little golden key.", "prediction_medium": " golden key.", "prediction_large_v3": " and she at once took up the little golden key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she at once took up the little golden key [/INST]", "segment_id": "AUD0000000468_S0000148", "text": "and she at once took up the little golden key ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And shell aul wons took liddle go Much kay.", "best_n": 0, "prediction_base": " And she at once took up the little golden key.", "prediction_medium": " And she at once took up the liddle golden key.", "prediction_large_v3": " And she at once took up the little golden key" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and & hurryd off to the gardin doore", "best_n": 0, "prediction_base": " and hurryd off to the gardin doore.", "prediction_medium": " and hurried off to the garden doore.", "prediction_large_v3": " and hurried off to the gardin doore" }, { "input": null, "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and hurried off to the garden door.", "prediction_medium": " and hurried off to the garden door.", "prediction_large_v3": " and hurried off to the garden door" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. hurried: hurbed\n3. off: off\n4. to: to\n5. garden: gardin\n6. door: doar", "best_n": 0, "prediction_base": " & hurried off to the garden door.", "prediction_medium": " & hurried off to the garden door", "prediction_large_v3": " & hurried off to the garden door" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\nhurried: hurry\noff: off\nto: to\nthe: the\ngarden: garden\ndoor: door", "best_n": 0, "prediction_base": " & hurried off to the garden door", "prediction_medium": " &hurried offto the garden door", "prediction_large_v3": " & hurried off to the garden door" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& hurried off to doar", "best_n": 0, "prediction_base": " and hurried off to the garden door.", "prediction_medium": " & hurried off to the garden door.", "prediction_large_v3": " and hurried off to the garden door" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"and hurried off to the garden door\" has a total of 6 homophones.", "best_n": 0, "prediction_base": " And hurried off to the garden door.", "prediction_medium": " And hurried off to the garden door.", "prediction_large_v3": " Okay. There's not 1…." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"door\" - door, pace, pole, poor", "best_n": 0, "prediction_base": " and hurried off to the garden door.", "prediction_medium": " and hurried off to the garden door.", "prediction_large_v3": " and hurried off to the garden door" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& hurried orf to their gardin doer.", "best_n": 0, "prediction_base": " And hurried off to the garden doer.", "prediction_medium": " & hurried orf to their gardin doer.", "prediction_large_v3": " and hurried orf to their gardin doer." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and - and, end, hand\nhurried - hurred, rummaged\noff -aft, cold, dough\nto -to, do, go\ngarden -arden, grenade\ndoor -ore, floor", "best_n": 0, "prediction_base": " and hurried off to the garden door.", "prediction_medium": " and hurried off to the garden door.", "prediction_large_v3": " and hurried off to the garden door" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"and\" - and, band\n2. \"hurried\" - hurry, worried\n3. \"off\" - off, cough\n4. \"to\" - to, too, two\n5. \"garden\" - garden, gardened\n6. \"door\" - door, floor", "best_n": 0, "prediction_base": " and hurried off to the garden door.", "prediction_medium": " and hurried off to the garden door", "prediction_large_v3": " and hurried off to the garden door," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and hurried off to the garden door [/INST]", "segment_id": "AUD0000000468_S0000149", "text": "and hurried off to the garden door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: and, hand\n* hurried: hurried, stirred\n* off: off, oculf, rock\n* to: to, two, too\n* the: the, bathe\n* garden: garden, gardin\n* door: door, bore", "best_n": 0, "prediction_base": " and hurried off to the garden door", "prediction_medium": " and hurried off to the garden door.", "prediction_large_v3": " and hurried off to the garden door" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n poor alice [/INST]", "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Poor Alice.", "prediction_medium": " Poor Alice.", "prediction_large_v3": " Poor Alice!" }, { "input": null, "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Poor Alice.", "prediction_medium": " Poor Alice.", "prediction_large_v3": " Poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n poor alice [/INST]", "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* pour alice\n* pain alice\n* pore alice\n* Alice alice\n* allice alice\n* alise alice", "best_n": 0, "prediction_base": " Pyro v Belgium Meghan Pog Ot sprung", "prediction_medium": " pore alice", "prediction_large_v3": " poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n poor alice [/INST]", "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"Poor Alice poured herself a cup of tea.\"\n* \"Alice's eyes were poor at seeing the details.\"", "best_n": 0, "prediction_base": " Poor Alice.", "prediction_medium": " Poor Alice.", "prediction_large_v3": " Poor Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n poor alice [/INST]", "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"poor Alice\" and \"pour Alice\"\n2. \"Alice\" and \"enhance\"", "best_n": 0, "prediction_base": " Poor Alice.", "prediction_medium": " Poor Alice.", "prediction_large_v3": " Poor Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n poor alice [/INST]", "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"poor alice\" and \"pour alice's\"", "best_n": 0, "prediction_base": " Poor alice.", "prediction_medium": " poor alice", "prediction_large_v3": " Poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n poor alice [/INST]", "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Poor Alice.", "prediction_medium": " Poor Alice.", "prediction_large_v3": " Poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n poor alice [/INST]", "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* pour alice\n* boor alice\n* bore alice\n* Alice alice\n* Allie alice\n* Ally alice", "best_n": 0, "prediction_base": " poor Alice", "prediction_medium": " poor alice", "prediction_large_v3": " poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n poor alice [/INST]", "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"poor Alice\" and \"Alice pour\"", "best_n": 0, "prediction_base": " Pour Alice", "prediction_medium": " Poor Alice.", "prediction_large_v3": " Poor Alice!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n poor alice [/INST]", "segment_id": "AUD0000000468_S0000150", "text": "poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "poor - poor, poure, porr\nAlice - ace, alice, alises, alise", "best_n": 0, "prediction_base": " poor, alice", "prediction_medium": " poor, alice", "prediction_large_v3": " poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are many other homophones for each word in the sentence, but the ones listed here are some of the most common ones.", "best_n": 0, "prediction_base": " It was as much as she could do, lying down on one side.", "prediction_medium": " It was as much as she could do lying down on one side.", "prediction_large_v3": " It was as much as she could do lying down on one side and" }, { "input": null, "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " It was as much as she could do, lying down on one side.", "prediction_medium": " It was as much as she could do lying down on one side.", "prediction_large_v3": " It was as much as she could do lying down on one side." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"It was as much as she could do lying down on one side\" has 11 homophones.", "best_n": 0, "prediction_base": " It was as much as she could do lying down on one side.", "prediction_medium": " It was as much as she could do lying down on one side.", "prediction_large_v3": " It was as much as she could do lying down on one side." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"It was as much as she could do\"\n\t* \"It was as much as she could do\" (homonym)\n\t+ \"It was as much as she could do\" (homophone)\n2. \"lying down on one side\"\n\t* \"lying down\" (homonym)\n\t+ \"lying down\" (homophone)\n\t+ \"lying\" (homonym)\n\t+ \"lying\" (homophone)\n\t+ \"down\" (homonym)\n\t+ \"down\" (homophone)\n\t+ \"side\" (homonym)\n\t+ \"side\" (homophone)", "best_n": 0, "prediction_base": "�", "prediction_medium": " It was as much as she could do lying down on one side", "prediction_large_v3": " It was as much as she could do, lying�ng down on one side," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " It was as much as she could do, lying down on one side.", "prediction_medium": " It was as much as she could do lying down on one side.", "prediction_large_v3": " It was as much as she could do lying down on one side." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* hit and bit for \"it\"\n* was and wear for \"was\"\n* as and ass/ase/much for \"as\"\n* could and cold for \"could\"\n* doe and do for \"do\"\n* lying and lyin for \"lying\"\n* dawn and drown for \"down\"\n* won and one for \"one\"", "best_n": 0, "prediction_base": " it was as much as she could do, lying down on one side.", "prediction_medium": " it was as much as she could do lying down on one side", "prediction_large_v3": " it was as much as she could do lying down on one side" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"it\" - \"itt\"\n* \"was\" - \"wass\"\n* \"as\" - \"ass\"\n* \"much\" - \"mgg\"\n* \"she\" - \"shee\"\n* \"could\" - \"culd\"\n* \"do\" - \"duh\"\n* \"lying\" - \"lye\"\n* \"down\" - \"doun\"\n* \"on\" - \"on\" (no homophone)\n* \"one\" - \"wn\"", "best_n": 0, "prediction_base": "fficients- It was as much as she could do, lying down on one side.", "prediction_medium": " it was as much as she could do lying down on one side", "prediction_large_v3": " It was as much as she could do lying down on one side" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"as much as\" = \"as much as\", \"as many as\", \"so much as\"\n2. \"she could do\" = she could do, she would do, she'd do\n3. \"lying down\" = lying down, lay down, lay (present tense)", "best_n": 0, "prediction_base": " It was as much as she could do, lying down on one side.", "prediction_medium": " it was as much as she could do lying down on one side", "prediction_large_v3": " It was as much as she could do lying down on one side," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " It was as much as she could do, lying down on one side.", "prediction_medium": " It was as much as she could do lying down on one side.", "prediction_large_v3": " It was as much as she could do lying down on one side." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these word pairs are not exact homophones, but they are commonly confused with each other in spelling or pronunciation.", "best_n": 0, "prediction_base": " It was as much as she could do, lying down on one side.", "prediction_medium": " It was as much as she could do lying down on one side,", "prediction_large_v3": " It was as much as she could do lying down on one side," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was as much as she could do lying down on one side [/INST]", "segment_id": "AUD0000000468_S0000151", "text": "it was as much as she could do lying down on one side ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"it was ase much as she coud dew lying down on one side\"", "best_n": 0, "prediction_base": " It was as much as she could do lying down on one side.", "prediction_medium": " it was as much as she could dew lying down on one side", "prediction_large_v3": " it was as much as she coud dew lying down on one side" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* to look:\n\t+ to look (board)\n\t+ to look (bore)\n\t+ to look (balk)\n* through:\n\t+ through (thoroughfare)\n\t+ through (thru)\n\t+ through (thrown)\n* into:\n\t+ into (inr)\n\t+ into (inn)\n\t+ into (int)\n* with:\n\t+ with ( Hall)\n\t+ with (whith)\n\t+ with (wit)\n* one:\n\t+ one (woon)\n\t+ one (mone)\n\t+ one (bone)\n* eye:\n\t+ eye (buy)\n\t+ eye (bye)\n\t+ eye (I)", "best_n": 0, "prediction_base": "weile", "prediction_medium": " to look through into the garden with one eye.", "prediction_large_v3": " to look through into the garden with one eye" }, { "input": null, "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " to look through into the garden with one eye.", "prediction_medium": " to look through into the garden with one eye.", "prediction_large_v3": " to look through into the garden with one eye." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for each word, but I have only listed the most common ones.", "best_n": 0, "prediction_base": " To look through into the garden with one eye.", "prediction_medium": " To look through into the garden with one eye.", "prediction_large_v3": " To look through into the garden with one eye!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that have the same pronunciation but different meanings and/or spellings.", "best_n": 0, "prediction_base": " To look through into the garden with one eye.", "prediction_medium": " To look through into the garden with one eye.", "prediction_large_v3": " To look through into the garden with one eye!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "to gaze through throu' into the yard with one eye.", "best_n": 0, "prediction_base": " To look throu' into the garden with one eye.", "prediction_medium": " To look through into the garden with one eye.", "prediction_large_v3": " To look throu' into the garden with one eye!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"to look through into the garden with one eye\" has a total of 8 homophones.", "best_n": 0, "prediction_base": " To look through into the garden with one eye.", "prediction_medium": " To look through into the garden with one eye.", "prediction_large_v3": " To look through into the garden with one eye!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "to peek through into the garden with one's eye\nto gaze through into the garden with one's eye\nto glimpse through into the garden with one's eye\nto spy through into the garden with one's eye\nto thorugh into the garden with one's eye\nto threw into the garden with one's eye\nto true into the garden with one's eye\nto thru into the garden with one's eye\nto in the garden with one's eye\nto on the garden with one's eye\nto at the garden with one's eye\nto onto the garden with one's eye\nto won into the garden with one's eye\nto one's eye on the garden\nto one's eye in the garden\nto one's eye at the garden\nto one's eye onto the garden", "best_n": 0, "prediction_base": " 무�to look through into the garden with one eye numerator.", "prediction_medium": " to look through into the garden with one's eye", "prediction_large_v3": " to look through into the garden with one eye" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. to glance through the garden with one eye\n2. to peek into the garden with one eye\n3. to go through the garden with one eye\n4. to enter the garden with one eye\n5. to behold the garden with one eye", "best_n": 0, "prediction_base": " to look through into the garden with one eye", "prediction_medium": " to look through into the garden with one eye", "prediction_large_v3": " to look through into the garden with one eye" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words may not be exact homophones, but they are close variations that could potentially be confused in certain contexts.", "best_n": 0, "prediction_base": " To look through into the garden with one eye.", "prediction_medium": " To look through into the garden with one eye.", "prediction_large_v3": " To look through into the garden with one eye!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"to peek through thought into the garden with one won\"", "best_n": 0, "prediction_base": " to look through into the garden with ONE eye.\"", "prediction_medium": " to look through into the garden with one eye.", "prediction_large_v3": " to look through into the garden with one eye." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to look through into the garden with one eye [/INST]", "segment_id": "AUD0000000468_S0000152", "text": "to look through into the garden with one eye ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* to listen through across the garden with one glance\n* to glance over the garden with one peep\n* to peep into the garden with one look", "best_n": 0, "prediction_base": " to look through into the garden with one eye.", "prediction_medium": " to look through into the garden with one eye", "prediction_large_v3": " to look through into the garden with one eye." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Here is the list of homophones for the sentence you provided.", "best_n": 0, "prediction_base": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " But to get through was more hopeless than ever. She sat down and cried again." }, { "input": null, "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_medium": " but to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " But to get through was more hopeless than ever. She sat down and cried again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I've only listed each word once. Also, note that \"get\" is technically a homophone of \"got\", but it's not as relevant in this sentence.", "best_n": 0, "prediction_base": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " But to get through was more hopeless than ever. She sat down and cried again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but: bud,bet\nto: to,two\nget: get,pet\nthrough: through,thru\nwas: was,wass\nmore: more,mre\nhopeless: hopeless,hopeful\nthan: than,then\never: ever,even\nshe: shed,she'd\ndown: down,dwn\nand: and,and\ncried: cried,ried\nagain: again,agne", "best_n": 0, "prediction_base": " but to get through was more hopeless than ever,she sat down and cried again.", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " but to get through was more hopeless than ever. She sat down and cried again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that this is not an exhaustive list, and there may be additional homophones for each word.", "best_n": 0, "prediction_base": " But to get through was more hopeless than ever, she sat down and cried again.", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " But to get through was more hopeless than ever. She sat down and cried again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but - bet\nto - two\nget - get\nthrough - threw\nwas - had been\nmore - moroe\nhopeless - hopeful\nthan - then\never - ere\nsat - set\ndown - town\ncried - creased", "best_n": 0, "prediction_base": " but to get through was more hopelessthan ever, she sat down and cried again.", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " but to get through was more hopeless than ever. She sat down and cried again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and (usually) different spellings.", "best_n": 0, "prediction_base": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " But to get through was more hopeless than ever. She sat down and cried again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but - but, boot, bunt\nto - to, two, too\nget - get, gate, gett\nthrough - through, throe, throw\nwas - was, wares, Wals\nmore - more, mroe, mor\nhopeless - hopeless, hopes, hope\nthan - than, then, thee\never - ever, ere, e'er\nsat - sat, set, sett\ndown - down, dawn, don\nand - and, an, aon\ncried - cried, cried, craid\nagain - again, aigne, egen", "best_n": 0, "prediction_base": " but, to get through, was, wares, hopeless, tinever, shes sat down and cried, again,", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " but to get through was more hopeless than ever she sat down and cried again" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words, but I have only listed one for each word. Also, note that some of these words have different meanings and connotations, so be careful when using them in your writing.", "best_n": 0, "prediction_base": " But to get through was more hopeless than ever, she sat down and cried again.", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " But to get through was more hopeless than ever. She sat down and cried again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* again (adverb)\n*agn (misspelling)", "best_n": 0, "prediction_base": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " But to get through was more hopeless than ever. She sat down and cried again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but to get through was more hopeless than ever she sat down and cried again [/INST]", "segment_id": "AUD0000000468_S0000153", "text": "but to get through was more hopeless than ever she sat down and cried again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* again (adverb)\n* again (noun)", "best_n": 0, "prediction_base": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_medium": " But to get through was more hopeless than ever. She sat down and cried again.", "prediction_large_v3": " But to get through was more hopeless than ever. She sat down and cried again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and, in some cases, different spellings.", "best_n": 0, "prediction_base": " You ought to be ashamed of yourself.", "prediction_medium": " You ought to be ashamed of yourself.", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": null, "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " You ought to be ashamed of yourself.", "prediction_medium": " You ought to be ashamed of yourself.", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "U ought to be ashamed of u.", "best_n": 0, "prediction_base": " You ought to be ashamed of yourself.", "prediction_medium": " You ought to be ashamed of yourself.", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "You (ewe)\nought (court)\nto (too)\nbe (bee)\nashamed (shamed)\nof (off)\nyourself (yourselves)", "best_n": 0, "prediction_base": " You ought to be ashamed of yourself.", "prediction_medium": " You ought to be ashamed of yourself.", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. You: you, yo\n2. ought: out, too\n3. to: to, two\n4. be: be, bee\n5. ashamed: ashamed, a-shamed", "best_n": 0, "prediction_base": " you ought to be ashamed of yourself?", "prediction_medium": " You ought to be ashamed of yourself.", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "you/u/we, owe/out/out, two/too/he, be/sea/see, ashamed/Accrayed.", "best_n": 0, "prediction_base": " You ought to be ashamed of yourself.", "prediction_medium": " You ought to be ashamed of yourself.", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed one for each word.", "best_n": 0, "prediction_base": " You ought to be ashamed of yourself.", "prediction_medium": " You ought to be ashamed of yourself.", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " You ought to be ashamed of yourself.", "prediction_medium": " You ought to be ashamed of yourself!", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "you: you, yo, yew\nought: out,aught,aught\nto: two, too, tone\nbe: be, bear, bree\nashamed: ashamed, a-shamed, a-sh ay med\nyourself: yourself, your self, urself", "best_n": 0, "prediction_base": " you ought to be ashamed of yourself?", "prediction_medium": " You ought to be ashamed of yourself.", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that have the same pronunciation but different meanings and often different spellings.", "best_n": 0, "prediction_base": " You ought to be ashamed of yourself.", "prediction_medium": " You ought to be ashamed of yourself.", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n you ought to be ashamed of yourself [/INST]", "segment_id": "AUD0000000468_S0000154", "text": "you ought to be ashamed of yourself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"ewwe should out two examineed bee examesded of ewe soodeself\"", "best_n": 0, "prediction_base": " You ought to be ashamed of yourself.", "prediction_medium": " You ought to be ashamed of yourself!", "prediction_large_v3": " You ought to be ashamed of yourself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice a great girl like you [/INST]", "segment_id": "AUD0000000468_S0000155", "text": "said alice a great girl like you ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Sad Alice, a great girl like you!", "prediction_medium": " Said Alice, A great girl like you?", "prediction_large_v3": " said Alice. A great girl like you?" }, { "input": null, "segment_id": "AUD0000000468_S0000155", "text": "said alice a great girl like you ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Sad Alice, a great girl like you.", "prediction_medium": " said Alice. A great girl like you!", "prediction_large_v3": " said Alice. A great girl like you?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice a great girl like you [/INST]", "segment_id": "AUD0000000468_S0000155", "text": "said alice a great girl like you ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* said: said, said\n* Alice: alice, Alice\n* great: great, grate\n* girl: gril, girl\n* like: lik, like\n* you: u, you", "best_n": 0, "prediction_base": " said Alice, a great girl like you?", "prediction_medium": " said Alice, a grate girl like you?", "prediction_large_v3": " said alice a great girl like you" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice a great girl like you [/INST]", "segment_id": "AUD0000000468_S0000155", "text": "said alice a great girl like you ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"said Alice a great grate gurl like you\"", "best_n": 0, "prediction_base": " ...said Alice a great girl like you?", "prediction_medium": " said Alice a grate gurl like you.", "prediction_large_v3": " said Alice a great gurl like you" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice a great girl like you [/INST]", "segment_id": "AUD0000000468_S0000155", "text": "said alice a great girl like you ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may have slightly different pronunciations or connotations, but they are all technically correct alternatives for the given words.", "best_n": 0, "prediction_base": " Settalis, a great girl like you!", "prediction_medium": " Said Alice, A great girl like you?", "prediction_large_v3": " said Alice. A great girl like you?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice a great girl like you [/INST]", "segment_id": "AUD0000000468_S0000155", "text": "said alice a great girl like you ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there can be other homophones for each word, depending on the context and the accent of the speaker.", "best_n": 0, "prediction_base": " Sad Alice, a great girl like you.", "prediction_medium": " Said Alice, A great girl like you?", "prediction_large_v3": " said Alice. A great girl like you?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice a great girl like you [/INST]", "segment_id": "AUD0000000468_S0000155", "text": "said alice a great girl like you ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Said: said, saied, sated\n* Alice: Alice, Alyce, Allice\n* Great: great, grate, grater\n* Girl: girl, girlze, gurl\n* Like: like, lite, liker", "best_n": 0, "prediction_base": " Said, Alice, a great girl like you?", "prediction_medium": " Said Alice, A grate gurl like you?", "prediction_large_v3": " said Alice. A great girl like you?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said alice a great girl like you [/INST]", "segment_id": "AUD0000000468_S0000155", "text": "said alice a great girl like you ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* said: bid, bade, sound, paid\n* alice: Alice, Allie, Ally, Elice\n* great: grate, weight, wait, waste\n* girl: pearl, whole, world, girl\n* like: like, lime, lien, line", "best_n": 0, "prediction_base": " said Alice, a great girl like you?", "prediction_medium": " said Alice, a grate girl like you?", "prediction_large_v3": " said alice a great girl like you" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"gallons\" has multiple homophones, but \"gilled\" and \"gowned\" are not actual homophones.", "best_n": 0, "prediction_base": " But she cried on all the same, shedding gallons of tears.", "prediction_medium": " But she cried on all the same, shedding gallons of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears." }, { "input": null, "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But she cried on all the same, shedding gallons of tears.", "prediction_medium": " But she cried on all the same, shedding gallons of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Bet she tries all same in shedding galls of tears.", "best_n": 0, "prediction_base": " But she cried on all the same, shedding galls of tears.", "prediction_medium": " But she cried on all the same, shedding galls of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "But she tried on all the same, feeding gallons of tears.", "best_n": 0, "prediction_base": " But she cried on all the same, shedding gallons of tears.", "prediction_medium": " But she tried on all the same, feeding gallons of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but - but, bat, put\nshe - she, sea, bee\ncried - cried, tried, ride\non - on, one, bone\nall - all, ball, call\nthe - the, be, see\nsame - same, game, tame\nshedding - shedding, bidding, riding\ngallons - gallons, gallons, y'all", "best_n": 0, "prediction_base": " but she cried on all the same, shedding gallons of tears.", "prediction_medium": " But she cried on all the same, shedding gallons of tears.", "prediction_large_v3": " but she cried on all the same shedding gallons of tears" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* But: but, put, park\n* she: she, shy, sight\n* cried: cried, tried, tied\n* on: on, one, one's\n* all: all, ball, call\n* the: the, be, see\n* same: same, games, flame\n* shedding: shedding, breading, reading\n* gallons: gallons, glens, graced\n* tears: tears, miles, fears", "best_n": 0, "prediction_base": "<|lb|>, but, she cried on all the same, shedding gallons of tears", "prediction_medium": " But she cried on all the same, shedding gallons of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. But: but, bat, bot\n2. she: she, sheep, seep\n3. cried: cried, tried, Hive\n4. on: on, one, hawn\n5. all: all, ale, tall\n6. the: the, not,ʲhole\n7. same: same, game, tame\n8. shedding: shedding, heading, sharing\n9. gallons: gallons, glens, golly\n10. tears: tears, fears, Cheers.", "best_n": 0, "prediction_base": " but, she cried on all the same, shedding gallons of tears.", "prediction_medium": " But she cried on all the same, shedding gallons of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that the word \"Alan\" was not in your original sentence, but I provided it as a homophone for \"cried\" as it is a commonly used homophone of the word.", "best_n": 0, "prediction_base": " But she cried on all the same, shedding gallons of tears.", "prediction_medium": " But she cried on all the same, shedding gallons of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones I've provided may not be exact synonyms, but they are words that sound the same as the original word.", "best_n": 0, "prediction_base": " But she cried on all the same, shedding gallons of tears.", "prediction_medium": " But she cried on all the same, shedding gallons of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones I've listed may not be exact, but they are all words that could potentially be confused with the original word in the sentence.", "best_n": 0, "prediction_base": " But she cried on all the same, shedding gallons of tears.", "prediction_medium": " But she cried on all the same, shedding gallons of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but she cried on all the same shedding gallons of tears [/INST]", "segment_id": "AUD0000000468_S0000157", "text": "but she cried on all the same shedding gallons of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note:some of the homophones may not be exact, as there may be more than one word that could be considered a homophone for each word in the sentence.", "best_n": 0, "prediction_base": " But she cried on all the same, shedding gallons of tears.", "prediction_medium": " But she cried on all the same, shedding gallons of tears.", "prediction_large_v3": " But she cried on all the same, shedding gallons of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n until there was a large pool about four inches deep [/INST]", "segment_id": "AUD0000000468_S0000158", "text": "until there was a large pool about four inches deep ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I've only listed each word once with its most common homophone.", "best_n": 0, "prediction_base": " Until there was a large pool about four inches deep.", "prediction_medium": " Until there was a large pool, about four inches deep,", "prediction_large_v3": " Until there was a large pool, about four inches deep," }, { "input": null, "segment_id": "AUD0000000468_S0000158", "text": "until there was a large pool about four inches deep ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " until there was a large pool about 4 inches deep.", "prediction_medium": " until there was a large pool, about four inches deep,", "prediction_large_v3": " until there was a large pool about four inches deep" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n until there was a large pool about four inches deep [/INST]", "segment_id": "AUD0000000468_S0000158", "text": "until there was a large pool about four inches deep ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions or if you'd like me to list more homophones for any particular word.", "best_n": 0, "prediction_base": " Until there was a large pool about 4 inches deep.", "prediction_medium": " Until there was a large pool, about four inches deep,", "prediction_large_v3": " Until there was a large pool about four inches deep" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n until there was a large pool about four inches deep [/INST]", "segment_id": "AUD0000000468_S0000158", "text": "until there was a large pool about four inches deep ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Until there was a large (law) pool about four (for) inches deep.\"", "best_n": 0, "prediction_base": " Until there was a large pool about four inches deep.", "prediction_medium": " Until there was a large pool about four inches deep.", "prediction_large_v3": " until there was a large pool about four inches deep" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n until there was a large pool about four inches deep [/INST]", "segment_id": "AUD0000000468_S0000158", "text": "until there was a large pool about four inches deep ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and may have different spellings.", "best_n": 0, "prediction_base": " Until there was a large pool about 4 inches deep.", "prediction_medium": " Until there was a large pool, about four inches deep,", "prediction_large_v3": " Until there was a large pool about four inches deep" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n until there was a large pool about four inches deep [/INST]", "segment_id": "AUD0000000468_S0000158", "text": "until there was a large pool about four inches deep ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Until there was a large pool about 4 inches deep.", "prediction_medium": " Until there was a large pool, about four inches deep,", "prediction_large_v3": " Until there was a large pool about four inches deep" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n until there was a large pool about four inches deep [/INST]", "segment_id": "AUD0000000468_S0000158", "text": "until there was a large pool about four inches deep ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings. The above list provides all the possible homophones for each word in the sentence.", "best_n": 0, "prediction_base": " Until there was a large pool about 4 inches deep.", "prediction_medium": " Until there was a large pool, about four inches deep,", "prediction_large_v3": " Until there was a large pool about four inches deep" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n until there was a large pool about four inches deep [/INST]", "segment_id": "AUD0000000468_S0000158", "text": "until there was a large pool about four inches deep ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have multiple homophones, but I only listed each word once. Also, I apologize for any typos or irrelevant results.", "best_n": 0, "prediction_base": " Until there was a large pool about 4 inches deep.", "prediction_medium": " Until there was a large pool, about four inches deep,", "prediction_large_v3": " Until there was a large pool, about four inches deep," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n until there was a large pool about four inches deep [/INST]", "segment_id": "AUD0000000468_S0000158", "text": "until there was a large pool about four inches deep ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions.", "best_n": 0, "prediction_base": " Until there was a large pool about 4 inches deep.", "prediction_medium": " Until there was a large pool, about four inches deep,", "prediction_large_v3": " Until there was a large pool about four inches deep" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"all round her\" can be written as \"all around her\" in American English. In this case, the homophones of \"all\" would be \"ball,\" \"call,\" \"fall,\" \"hall,\" \"mall,\" \"pall,\" and \"small.\"", "best_n": 0, "prediction_base": " All round her.", "prediction_medium": " All round her.", "prediction_large_v3": " All round her." }, { "input": null, "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " All round her.", "prediction_medium": " all round her.", "prediction_large_v3": " all round her." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " All round her.", "prediction_medium": " All round her.", "prediction_large_v3": " All round her," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. All:\n\t* Ball\n\t* Call\n\t* Fall\n\t* Hall\n\t* Mall\n2. Round:\n\t* Ground\n\t* Hound\n\t* Mound\n\t* Pound\n\t* Wound\n3. Her:\n\t* Here\n\t* Hare\n\t* Heir\n\t* Hear\n\t* Sheer", "best_n": 0, "prediction_base": " All Rounder", "prediction_medium": " All Round Her", "prediction_large_v3": " All round her," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. all:\n\t* all (pronounced with a long A sound)\n\t* al (a type of ref unclear)\n2. round:\n\t* round (pronounced with a long O sound)\n\t* roun (a verb meaning to turn)\n3. her:\n\t* here (pronounced with a short E sound)\n\t*err (a type of mistake)", "best_n": 0, "prediction_base": " rallgender", "prediction_medium": " all rounder", "prediction_large_v3": " all round her" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. All:\n\t* All (pronounced with a short \"a\" sound)\n\t* Al (pronounced with a short \"a\" sound)\n2. Round:\n\t* Round (pronounced with a long \"o\" sound)\n\t* Round (pronounced with a short \"o\" sound)\n3. Her:\n\t* Her (pronounced with a short \"e\" sound)\n\t* Here (pronounced with a short \"e\" sound)", "best_n": 0, "prediction_base": "ecd groundwater", "prediction_medium": " all round her.", "prediction_large_v3": " All round her," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones depending on the context and dialect.", "best_n": 0, "prediction_base": " All round her.", "prediction_medium": " All round her.", "prediction_large_v3": " All round her," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* all (ball, hall, call) round (ground, found) her (here, air)", "best_n": 0, "prediction_base": " all round her.", "prediction_medium": " all round her.", "prediction_large_v3": " all round her," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. All:\n\t* all (homophone)\n\t* al (homophone)\n\t* all (synonym)\n2. round:\n\t* round (homophone)\n\t* ground (homophone)\n\t* round (synonym)\n3. her:\n\t* her (homophone)\n\t* here (homophone)\n\t* she (synonym)", "best_n": 0, "prediction_base": " ALL ROUND HER", "prediction_medium": " all round her", "prediction_large_v3": " all round her" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. All:\n\t* ball (the sport)\n\t*fall\n\t*hall\n2. Round:\n\t*found\n\t*ground\n\t*mound\n3. Her:\n\t*air\n\t*heir\n\t*hair", "best_n": 0, "prediction_base": " All round her.", "prediction_medium": " all round her.", "prediction_large_v3": " All round her," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n all round her [/INST]", "segment_id": "AUD0000000468_S0000159", "text": "all round her ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " All round her.", "prediction_medium": " All round her.", "prediction_large_v3": " All rounder." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and reaching half way across the hall [/INST]", "segment_id": "AUD0000000468_S0000160", "text": "and reaching half way across the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\nreaching: wreathing\nhalf: half\nway: way\nacross: across\nthe: the\nhall: hall", "best_n": 0, "prediction_base": " & reaching halfway across the hall", "prediction_medium": " &reaching halfway across the hall", "prediction_large_v3": " & reaching halfway across the hall & reaching halfway across the hall" }, { "input": null, "segment_id": "AUD0000000468_S0000160", "text": "and reaching half way across the hall ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and reaching halfway across the hull.", "prediction_medium": " and reaching halfway across the hall.", "prediction_large_v3": " and reaching halfway across the hall," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and reaching half way across the hall [/INST]", "segment_id": "AUD0000000468_S0000160", "text": "and reaching half way across the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and reaping half weigh acrost haul", "best_n": 0, "prediction_base": " and reaching halfway across the hull.", "prediction_medium": " and reaching half weigh acrost haul.", "prediction_large_v3": " and reaching half weigh acrost the haul" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and reaching half way across the hall [/INST]", "segment_id": "AUD0000000468_S0000160", "text": "and reaching half way across the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And reaching halfway across the hall!", "prediction_medium": " And reaching halfway across the hall!", "prediction_large_v3": " And reaching halfway across the hall," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and reaching half way across the hall [/INST]", "segment_id": "AUD0000000468_S0000160", "text": "and reaching half way across the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. reaching: reeching\n3. half: haulf\n4. way: weigh\n5. across: acrost\n6. hall: hawl", "best_n": 0, "prediction_base": " & reaching halfway across the hall", "prediction_medium": " & reeching half-way across the hall", "prediction_large_v3": " and reaching halfway across the hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and reaching half way across the hall [/INST]", "segment_id": "AUD0000000468_S0000160", "text": "and reaching half way across the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And reaching halfway across the hall!", "prediction_medium": " And reaching halfway across the hall!", "prediction_large_v3": " And reaching halfway across the hall," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and reaching half way across the hall [/INST]", "segment_id": "AUD0000000468_S0000160", "text": "and reaching half way across the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& wreathing half halve the weight across hail\"", "best_n": 0, "prediction_base": " and reaching halfway across the hull.", "prediction_medium": " and reaching half way across the hall.", "prediction_large_v3": " and reaching half way across the hall," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and reaching half way across the hall [/INST]", "segment_id": "AUD0000000468_S0000160", "text": "and reaching half way across the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. reaching: wreathing\n3. half: halve\n4. way: weigh\n5. across: across\n6. hall: hail", "best_n": 0, "prediction_base": " & reaching halfway across the hall", "prediction_medium": " and reaching halfway across the hall.", "prediction_large_v3": " and reaching halfway across the hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and reaching half way across the hall [/INST]", "segment_id": "AUD0000000468_S0000160", "text": "and reaching half way across the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Hall (large room)\n* Hull (ship)\n* Wall (structure)", "best_n": 0, "prediction_base": " and reaching halfway across the hall.", "prediction_medium": " and reaching halfway across the hall.", "prediction_large_v3": " And reaching halfway across the hull," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n after a time she heard a little pattering of feet in the distance [/INST]", "segment_id": "AUD0000000468_S0000161", "text": "after a time she heard a little pattering of feet in the distance ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some may be spelled differently but have the same pronunciation.", "best_n": 0, "prediction_base": " After a time she heard a little pattering of feet in the distance.", "prediction_medium": " After a time she heard a little pattering of feet in the distance.", "prediction_large_v3": " After a time she heard a little pattering of feet in the distance." }, { "input": null, "segment_id": "AUD0000000468_S0000161", "text": "after a time she heard a little pattering of feet in the distance ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " After a time, she heard a little pattering of feet in the distance.", "prediction_medium": " After a time she heard a little pattering of feet in the distance.", "prediction_large_v3": " After a time she heard a little pattering of feet in the distance." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n after a time she heard a little pattering of feet in the distance [/INST]", "segment_id": "AUD0000000468_S0000161", "text": "after a time she heard a little pattering of feet in the distance ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there may be other homophones for each word, but the above list includes some common ones.", "best_n": 0, "prediction_base": " After a time, she heard a little pattering of feet in the distance.", "prediction_medium": " After a time she heard a little pattering of feet in the distance.", "prediction_large_v3": " After a time she heard a little pattering of feet in the distance." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n after a time she heard a little pattering of feet in the distance [/INST]", "segment_id": "AUD0000000468_S0000161", "text": "after a time she heard a little pattering of feet in the distance ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that are pronounced the same but have different meanings and/or spellings. These can be tricky to spot, but you can use this list to help identify them in the sentence you provided. Good luck!", "best_n": 0, "prediction_base": " After a time she heard a little pattering of feet in the distance.", "prediction_medium": " After a time she heard a little pattering of feet in the distance.", "prediction_large_v3": " After a time she heard a little pattering of feet in the distance." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n after a time she heard a little pattering of feet in the distance [/INST]", "segment_id": "AUD0000000468_S0000161", "text": "after a time she heard a little pattering of feet in the distance ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that are pronounced the same but have different meanings and may have different spellings.", "best_n": 0, "prediction_base": " After a time she heard a little pattering of feet in the distance.", "prediction_medium": " After a time she heard a little pattering of feet in the distance.", "prediction_large_v3": " After a time she heard a little pattering of feet in the distance." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n after a time she heard a little pattering of feet in the distance [/INST]", "segment_id": "AUD0000000468_S0000161", "text": "after a time she heard a little pattering of feet in the distance ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " After a time she heard a little pattering of feet in the distance.", "prediction_medium": " After a time she heard a little pattering of feet in the distance.", "prediction_large_v3": " After a time she heard a little pattering of feet in the distance." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n after a time she heard a little pattering of feet in the distance [/INST]", "segment_id": "AUD0000000468_S0000161", "text": "after a time she heard a little pattering of feet in the distance ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions or if there's anything else I can do for you.", "best_n": 0, "prediction_base": " After a time she heard a little pattering of feet in the distance.", "prediction_medium": " After a time she heard a little pattering of feet in the distance.", "prediction_large_v3": " After a time she heard a little pattering of feet in the distance." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n after a time she heard a little pattering of feet in the distance [/INST]", "segment_id": "AUD0000000468_S0000161", "text": "after a time she heard a little pattering of feet in the distance ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the error words areBritish English spellings that are considered to be misspellings in American English.", "best_n": 0, "prediction_base": " After a time she heard a little pattering of feet in the distance.", "prediction_medium": " After a time she heard a little pattering of feet in the distance.", "prediction_large_v3": " After a time she heard a little pattering of feet in the distance." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n after a time she heard a little pattering of feet in the distance [/INST]", "segment_id": "AUD0000000468_S0000161", "text": "after a time she heard a little pattering of feet in the distance ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " After a time she heard a little pattering of feet in the distance.", "prediction_medium": " After a time she heard a little pattering of feet in the distance.", "prediction_large_v3": " After a time she heard a little pattering of feet in the distance." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* dried: trying\n* her: air\n* eyes: Prize\n* to:too\n* see: sea\n* was: was\n* coming: going", "best_n": 0, "prediction_base": " and dried her eyes to see what was coming.", "prediction_medium": " & dried her eyes to see what was coming", "prediction_large_v3": " and dried her eyes to see what was coming." }, { "input": null, "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and dried her eyes to see what was coming.", "prediction_medium": " and dried her eyes to see what was coming.", "prediction_large_v3": " and dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\ndried: tried\neyes: rise\nsee: sea", "best_n": 0, "prediction_base": " & dried her eyes to see what was coming.", "prediction_medium": " &driedhereyes to see what was coming.", "prediction_large_v3": " & dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& tried her sight to sea what was coming.", "best_n": 0, "prediction_base": " And tried her eyes to see what was coming.", "prediction_medium": " & dried her eyes to see what was coming.", "prediction_large_v3": " and dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " And try to rise to see what was coming!", "prediction_medium": " And dried her eyes to see what was coming.", "prediction_large_v3": " and dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (and, an) dried (dried, tried) her (her, buy) eyes (eyes, buy) to (to, two) see (see, sea) what (what, wear) was (was, wear) coming.", "best_n": 0, "prediction_base": " and dried her eyes to see what was coming.", "prediction_medium": " And dried her eyes to see what was coming.", "prediction_large_v3": " And dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: There may be multiple homophones for each word, but I have only listed the most common ones.", "best_n": 0, "prediction_base": " And dried her eyes to see what was coming.", "prediction_medium": " And I have listed the most common ones.", "prediction_large_v3": " And dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. dried: tried\n3. eyes: mice\n4. to see: to sea", "best_n": 0, "prediction_base": " what was coming.", "prediction_medium": " & dried her eyes to see what was coming", "prediction_large_v3": " and dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and - &\ndried - tried\neyes - lies\nsee - sea\nwhat - hat\nwas - was", "best_n": 0, "prediction_base": " coming.", "prediction_medium": " and dried her eyes to see what was coming.", "prediction_large_v3": " & dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and & tries, tried and cried, eyes and lies, sea, what and hat, was and saw", "best_n": 0, "prediction_base": " and dried her eyes to see what was coming.", "prediction_medium": " and dried her eyes to see what was coming.", "prediction_large_v3": " and dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and dried her eyes to see what was coming [/INST]", "segment_id": "AUD0000000468_S0000162", "text": "and dried her eyes to see what was coming ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "pried her prize to sea what was pried.", "best_n": 0, "prediction_base": " And dried her eyes to see what was coming.", "prediction_medium": " And dried her eyes to see what was coming.", "prediction_large_v3": " and dried her eyes to see what was coming." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* it: bit\n* was: Bass\n* white: white\n* rabbit: rabbit\n* coming: coming\n* back: back\n* again: again", "best_n": 0, "prediction_base": " it was the white rabbit coming back again", "prediction_medium": " it was the white rabbit coming back again", "prediction_large_v3": " It was the White Rabbit coming back again," }, { "input": null, "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " It was the white rabbit coming back again.", "prediction_medium": " It was the white rabbit coming back again.", "prediction_large_v3": " It was the White Rabbit coming back again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words may not be perfect homophones, but they are close alternatives that are commonly confused with the original words.", "best_n": 0, "prediction_base": " It was the white rabbit coming back again.", "prediction_medium": " It was the white rabbit coming back again.", "prediction_large_v3": " It was the White Rabbit coming back again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"it\" - \"hit\"\n2. \"was\" - \"wass\"\n3. \"white\" - \"right\"\n4. \"rabbit\" - \"rabid\"\n5. \"coming\" - \"golden\"\n6. \"back\" - \"black\"\n7. \"again\" - \"agin\"", "best_n": 0, "prediction_base": " canvi200089 coronavirus ukthear it was a white rabbit coming back again!", "prediction_medium": " It was the white rabbit coming back again.", "prediction_large_v3": " It was the White Rabbit coming back again," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: \"again\" and \"agin\" are not strict homophones, but they are often confused with each other.", "best_n": 0, "prediction_base": " It was the white rabbit coming back again.", "prediction_medium": " It was the white rabbit coming back again,", "prediction_large_v3": " It was the White Rabbit coming back again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "it - hit, bit\nwas - waste, save\nwhite - write, right\nrabbit - ride, Rivet\ncoming - coming, going\nback - back, forth", "best_n": 0, "prediction_base": " it was the white rabbit coming back again.", "prediction_medium": " It was the white rabbit coming back again.", "prediction_large_v3": " It was the White Rabbit coming back again," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bitbare going right rabit rubbit going back again", "best_n": 0, "prediction_base": " it was the white rabit coming back again", "prediction_medium": " it was the white rabbit coming back again", "prediction_large_v3": " it was the white rabbit coming back again" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "It was the wite rabbit coming back egen.", "best_n": 0, "prediction_base": " It was the wite rabbit coming back egen.", "prediction_medium": " It was the wite rabbit coming back egen.", "prediction_large_v3": " It was the wite rabbit coming back egen." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* it: bit, hit, sit\n* was: was, saw,awa\n* white: right, Wright, sight\n* rabbit: rabbit, rival, rubbit\n* coming: come, going, goming\n* back: back, bat, sit\n* again: again, ager, angry", "best_n": 0, "prediction_base": " it was the white rabbit coming back again", "prediction_medium": " it was the white rabbit coming back again", "prediction_large_v3": " It was the White Rabbit coming back again," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "hit, bit, sit, wit, was, swam, slam, jam, write, right, might, sight, rabbit, rabbit, rabit, rubbit, coming, goming, going, owing, back, pack, black, lack, again, agan, agan, igan.", "best_n": 0, "prediction_base": " It was the white rabbit coming back again.", "prediction_medium": " It was the white rabbit coming back again,", "prediction_large_v3": " It was the White Rabbit coming back again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n it was the white rabbit coming back again [/INST]", "segment_id": "AUD0000000468_S0000163", "text": "it was the white rabbit coming back again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " It was the white rabbit coming back again.", "prediction_medium": " It was the white rabbit coming back again.", "prediction_large_v3": " It was the White Rabbit coming back again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"splendidly dressed\" -> \"speNDidly dreSsed\" and \"spenDidly deREssed\"", "best_n": 0, "prediction_base": " Splendidly dressed", "prediction_medium": " Splendidly dressed!", "prediction_large_v3": " splendidly dressed" }, { "input": null, "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Splendidly dressed.", "prediction_medium": " splendidly dressed,", "prediction_large_v3": " splendidly dressed." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Splendidly dressed!", "prediction_medium": " Thank you!", "prediction_large_v3": " Thank you." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* lavishly attired\n* elegantly garbed\n* stylishly ornate\n* ornately dressed up", "best_n": 0, "prediction_base": " splendidly dressed", "prediction_medium": " splendidly dressed", "prediction_large_v3": " splendidly dressed" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* splandidly (instead of \"splendidly\")\n* dignifiedly (instead of \"dressed\")", "best_n": 0, "prediction_base": " splendidly dressed", "prediction_medium": " splendidly dressed", "prediction_large_v3": " splendidly dressed" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different spellings and meanings.", "best_n": 0, "prediction_base": " Splendidly dressed.", "prediction_medium": " They are used to describe the same thing, but they are not used to describe the same thing. Homophones are words that sound the same but have different spellings and meanings. They are used to describe the same thing, but they are not used to describe the same thing. Homophones are words that sound the same but have different spellings and meanings. They are used to describe the same thing, but they are not used to describe the same thing. Homophones are words that sound the same but have different spellings and meanings. They are used to describe the same thing, but they are not used to describe the same thing. Homophones are words that sound the same but have different spellings and meanings. They are used to describe the same thing, but they are not used to describe the same thing. Homophones are words that sound the same but have different spellings and meanings.", "prediction_large_v3": " They are splendidly dressed." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* splendidly:\n\t+ splendid + ly\n\t+ splender + fully\n\t+ splender + late\n* dressed:\n\t+ dressed + rested\n\t+ dressed + tested\n\t+ dressed + scored", "best_n": 0, "prediction_base": " splendidly dressed", "prediction_medium": " splendently dressed", "prediction_large_v3": " splendidly dressed" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Splendidly: These are some possible homophones:\n\t* exceedingly\n\t* tremendously\n\t* magnanimously\n\t* opulently\n2. Dressed: These are some possible homophones:\n\t* undressed\n\t* redressed\n\t* repressed\n\t* assisted", "best_n": 0, "prediction_base": " splendily dressed", "prediction_medium": " 2. Splendidly dressed.", "prediction_large_v3": " splendidedly drust," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Splendidly:\n\t*ospelled expandedly ( misspelling)\n\t*splenderly (variation)\n\t*sprendidly (typo)\n2. Dressed:\n\t* redressed (pasted)\n\t* repressed (psychological)\n\t* undressed (unclothed)", "best_n": 0, "prediction_base": " Splendidly dressed", "prediction_medium": "rès로 Director's Office", "prediction_large_v3": " splendidly dressed" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"splendidly\" is an adverb modifying the verb \"dressed\" and has three homophones, while \"dressed\" has three homophones as well.", "best_n": 0, "prediction_base": " Splendidly dressed.", "prediction_medium": " Splendidly dressed!", "prediction_large_v3": " Splendidly dressed." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n splendidly dressed [/INST]", "segment_id": "AUD0000000468_S0000164", "text": "splendidly dressed ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Unde dressed\nSpandedly dressed\nSteppedly dressed\nSplendentley dressed\nSpeptfully dressed\nSlowly dressed\nStindedly dressed\nSiidedly dressed\nSedately dressed\nStdently dressed\nSwelidly dressed\nSwindily dressed\nSlyepingly dressed", "best_n": 0, "prediction_base": "xualSplendently dressed JamaicaSlo corrupted statisticindestLe bed", "prediction_medium": " splendedly dressed", "prediction_large_v3": " splendidly dressed" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "With/without, pair/pare, white/right, kid/kite, gloves/groves, hand/head.", "best_n": 0, "prediction_base": " With a pair of white kid gloves in one hand.", "prediction_medium": " With a pair of white kid gloves in one hand.", "prediction_large_v3": " With a pair of white kid gloves in one hand," }, { "input": null, "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " with a pair of white kid gloves in one hand.", "prediction_medium": " with a pair of white kid gloves in one hand.", "prediction_large_v3": " with a pair of white kid gloves in one hand" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "(Note: Some of the homophones are more valid than others, depending on the context and the specific meaning of the sentence.)", "best_n": 0, "prediction_base": " With a pair of white kid gloves in one hand,", "prediction_medium": " with a pair of white kid gloves in one hand", "prediction_large_v3": " with a pair of white kid gloves in one hand" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. with/width/wit\n2. pair/pare/fare\n3. white/right/write\n4. kid/kirt/kit\n5. gloves/gloss/close\n6. in/inne/inn\n7. hand/hend/hond", "best_n": 0, "prediction_base": " with a pair of white kid gloves in one hand.", "prediction_medium": " witha pair of white kid gloves in one hand", "prediction_large_v3": " with a pair of white kid gloves in one hand" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: There may be more homophones for each word, but the above list includes some common ones.", "best_n": 0, "prediction_base": " With a pair of white kid gloves in one hand,", "prediction_medium": " With a pair of white kid gloves in one hand, and a pair of white", "prediction_large_v3": " With a pair of white kid gloves in one hand," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "With: with, within, withe\nA: a, an, the\nPair: pear, pair\nWhite: white, right, write\nKid: kid, kite\nGloves: gloves, groves", "best_n": 0, "prediction_base": " with a pair of white kid gloves in one hand.", "prediction_medium": " with a pair of white kid gloves in one hand", "prediction_large_v3": " with a pair of white kid gloves in one hand" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than two homophones, but I have only listed the most common ones.", "best_n": 0, "prediction_base": " With a pair of white kid gloves in one hand,", "prediction_medium": " With a pair of white kid gloves in one hand, and a pair of white", "prediction_large_v3": " With a pair of white kid gloves in one hand," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "with: wit, wight, wett, wet\npair: pear, pare, pairer, pairs\nwhite: sight, sighted, sites, Kreis\nkid: kid, kit, kidded, kidder\ngloves: glove, gloved, glovisor, gloving", "best_n": 0, "prediction_base": " with a pair of white kid gloves in one hand.", "prediction_medium": " with a pair of white kid gloves in one hand", "prediction_large_v3": " wit a pair of wight kid gloves in one hand" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and often different spellings. They can make sentences more interesting and challenging to interpret.", "best_n": 0, "prediction_base": " With a pair of white kid gloves in one hand.", "prediction_medium": " With a pair of white kid gloves in one hand,", "prediction_large_v3": " With a pair of white kid gloves in one hand," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope these help! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " With a pair of white kid gloves in one hand.", "prediction_medium": " Thank you.", "prediction_large_v3": " With a pair of white kid gloves in one hand," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n with a pair of white kid gloves in one hand [/INST]", "segment_id": "AUD0000000468_S0000165", "text": "with a pair of white kid gloves in one hand ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some homophones have multiple definitions or pronunciations.", "best_n": 0, "prediction_base": " With a pair of white kid gloves in one hand,", "prediction_medium": " With a pair of white kid gloves in one hand,", "prediction_large_v3": " With a pair of white kid gloves in one hand," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and a nosegay in the other [/INST]", "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and\n\t* hand\n\t* end\n\t* band\n2. a\n\t* ea (a type of before nouns beginning with e)\n\t* an\n\t* the\n3. nosegay\n\t* posy\n\t* day\n\t* say", "best_n": 0, "prediction_base": " and a nosegay in the other.", "prediction_medium": " and a nose gay in the other", "prediction_large_v3": " and a nosegay in the other." }, { "input": null, "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and a nose gay and the other.", "prediction_medium": " and a nose gay in the other.", "prediction_large_v3": " and a nose gay in the other." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and a nosegay in the other [/INST]", "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and:\n\t* and\n\t* end\n\t* ...and\n\t* ad\n\t* en\n\t* on\n2. nosegay:\n\t* nosegay\n\t* nuzzle\n\t* knee\n\t* knead\n\t* daze\n\t* gaze", "best_n": 0, "prediction_base": " and a nosegay in the other.", "prediction_medium": " and a nose gay in the other.", "prediction_large_v3": " and a nosegay in the other." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and a nosegay in the other [/INST]", "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And a nose gay in the other.", "prediction_medium": " And a nose gay in the other!", "prediction_large_v3": " And a nose gay in the other." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and a nosegay in the other [/INST]", "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& a nose-guy in the other.", "best_n": 0, "prediction_base": " Most of that sound a little bit邪だめだよ! The viewers are being doctored to read the story. We're not telling the news, but Ricci also told us to watch the episode and I was just re-ınguard this new chapter. So Thes was not opening. So it's about a big video. But that much that you need to hear this is very찪. Also, we made a video directly on the Okinawa mazma right now when the first episode started", "prediction_medium": " & a nose-guy in the other.", "prediction_large_v3": " And a nose-guy in the other." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and a nosegay in the other [/INST]", "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"and\" - and, end, andes\n\"a\" - a, an, at\n\"nosegay\" - nosgay, nose-gay, nosegay", "best_n": 0, "prediction_base": " and a nose-gay in the other.", "prediction_medium": " and a, and a nose-gay in the other.", "prediction_large_v3": " and a nose-gay in the other." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and a nosegay in the other [/INST]", "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and\n\t* aud\n\t* hand\n\t* bond\n2. nosegay\n\t* noseday\n\t* posy\n\t* capsay", "best_n": 0, "prediction_base": " and a nosegay in the other.", "prediction_medium": " and a nose gay in the other", "prediction_large_v3": " and a nosegay in the other." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and a nosegay in the other [/INST]", "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and, an, entered, nosegay, gaze, gray", "best_n": 0, "prediction_base": " and a nosegay in the other.", "prediction_medium": " and, a, nosegay, and the other.", "prediction_large_v3": " and a nosegay in the other." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and a nosegay in the other [/INST]", "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& a nosey in the other.", "best_n": 0, "prediction_base": " And a nose gay in the other.", "prediction_medium": " & a nosey in the other.", "prediction_large_v3": " And a nose gay in the other." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and a nosegay in the other [/INST]", "segment_id": "AUD0000000468_S0000166", "text": "and a nosegay in the other ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and (and (conjunction))\n* nosesay (noun)\n* nose (animal feature)\n* other (pronominal adjective)", "best_n": 0, "prediction_base": " and a nose gay and the other.", "prediction_medium": " and a nose gay in the other.", "prediction_large_v3": " and a nose gay in the other." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and - and, at\nas - as, ase\nrabbit - rabbit, rebate\npassed - passed, past\nshe - she, see\nsaid - said, payed\nin - in, van\nlow - low, slow\ntimid - timid, tidy", "best_n": 0, "prediction_base": " and, as the rabbit passed her, she said, in a low, timid voice.", "prediction_medium": " and as the rabbit passed her, she said, in a low, timid voice,", "prediction_large_v3": " and, as the rabbit passed her, she said in a low, timid voice," }, { "input": null, "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And as the rabbit passed her, she said in a low timid voice.", "prediction_medium": " And as the rabbit passed her, she said in a low, timid voice,", "prediction_large_v3": " and as the rabbit passed her she said in a low timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. And: &\n2. as: ase, was\n3. rabbit: rising\n4. passed: passed, past\n5. her: here\n6. she: he, shi\n7. said: salt, sate\n8. low: loose, nlow\n9. timid: tid, milde\n10. voice: choice, joice", "best_n": 0, "prediction_base": " and as the rabbit passed her, she said in a low timid voice.", "prediction_medium": " & as the rabbit passed her, she said in a low, timid voice,", "prediction_large_v3": " And as the rabbit passed her, she said in a low, timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"And as the rabbit past her, she said in a low terror voice.\"", "best_n": 0, "prediction_base": " And as the rabbit passed her, she said in a low terror voice.", "prediction_medium": " And as the rabbit passed her, she said in a low timid voice,", "prediction_large_v3": " And as the rabbit past her, she said in a low timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " And as the rabbit passed her, she said in a low timid voice.", "prediction_medium": " And as the rabbit passed her, she said in a low, timid voice,", "prediction_large_v3": " And as the rabbit passed her, she said in a low, timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " And as the rabbit passed her, she said in a low, timid voice.", "prediction_medium": " And as the rabbit passed her, she said in a low, timid voice,", "prediction_large_v3": " And as the rabbit passed her, she said in a low, timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " And as the rabbit passed her, she said in a low, timid voice.", "prediction_medium": " And as the rabbit passed her, she said in a low, timid voice,", "prediction_large_v3": " And as the rabbit passed her, she said in a low, timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and as the hand passed her, she said in a low weighed voice", "best_n": 0, "prediction_base": " and as the rabbit passed her, she said in a low timid voice.", "prediction_medium": " and as the rabbit passed her, she said in a low timid voice", "prediction_large_v3": " and as the rabbit passed her, she said in a low timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"and\" - and, ante, en\n2. \"as\" - as, ass, ase\n3. \"rabbit\" - rabbit, rappit\n4. \"passed\" - passed, past, pesed\n5. \"she\" - she, sheep, shoe\n6. \"said\" - said,ASED, payed\n7. \"in\" - in, inn, pin\n8. \"low\" - low, load, slow\n9. \"timid\" - timid, tidal, tidy\n10. \"voice\" - voice, virtue, vice", "best_n": 0, "prediction_base": " \"- and, as the rabbit passed her, she said, in a low, timid voice.", "prediction_medium": " 11. And as the rabbit passed her, she said in a low, timid voice,", "prediction_large_v3": " and as the rabbit passed her, she said in a low, timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one possible homophone, but I've only listed each word once.", "best_n": 0, "prediction_base": " And as the rabbit passed her, she said in a low timid voice.", "prediction_medium": " And as the rabbit passed her, she said in a low, timid voice,", "prediction_large_v3": " And as the rabbit passed her, she said in a low, timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and as the rabbit passed her she said in a low timid voice [/INST]", "segment_id": "AUD0000000468_S0000168", "text": "and as the rabbit passed her she said in a low timid voice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed each word once.", "best_n": 0, "prediction_base": " And as the rabbit passed her, she said in a low timid voice.", "prediction_medium": " And as the rabbit passed her, she said in a low, timid voice,", "prediction_large_v3": " And as the rabbit passed her, she said in a low, timid voice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* if (if/iff/iffy)\n* you (you/uy/ew)\n* please (please/Pleased/please')\n* sir (sir/Sir/sur)\n* the (the/teh/tephen)\n* rabbit (rabbit/rabbit/rabble)\n* started (started/starred/stared)\n* violently (violently/vehemently/violent)", "best_n": 0, "prediction_base": " Athleticut WOAH!", "prediction_medium": " if you please, sir. The rabbit started violently.", "prediction_large_v3": " If you please, sir— The rabbits started violently violently" }, { "input": null, "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " If you please sir, the rabbit started violently.", "prediction_medium": " If you please, sir.\" The rabbit storted violently.", "prediction_large_v3": " If you please, sir.\" The rabbit started violently." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* if: if, iff, ivy\n* you: you, you're\n* please: please, pip\n* sir: sir, sur\n* started: started, starlight\n* violently: violently, violently", "best_n": 0, "prediction_base": " if you please, sir, the rabbit started violently", "prediction_medium": " if you please, sir, the rabbit started violently,", "prediction_large_v3": " If you please, sir— The rabbit started violently." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones may not be exact homophones, but they are close in pronunciation or meaning.", "best_n": 0, "prediction_base": " If you please, sir, the rabbit started violently.", "prediction_medium": " If you please, sir—'", "prediction_large_v3": " If you please, sir— The rabbit started violently." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "if - if, iff, i-f\nyou - you, your\nplease - please, pleas, plea\nsir - sir, sire\nthe - the, ther, th\nrabbit - rabbit, rabbits\nstarted - started, star])ted, start)ting\nviolently - violently, viol|ent|ly, violent", "best_n": 0, "prediction_base": " if you, please, sir, the rabbit started, violently", "prediction_medium": " if you, please, sir, the, ther, therabbit, started, violently,", "prediction_large_v3": " if you please sir the rabbit started violentlyently" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* if (iff, ife, iffy)\n* you (u, your, yore)\n* please (plaise, praise)\n* sir (sire, variation of \"sir\")\n* the (ther, there, they're)\n* rabbit (rabbit's, rabit, rubbit)\n* started (starter, starred, stretched)\n* violently (violently, violate, violated)", "best_n": 0, "prediction_base": "�적, if you please sir, the rabbit's, starred, violently,", "prediction_medium": " if you please, sir. The rabbit started violently.", "prediction_large_v3": " if you please sir the rabbit started violently violentlyantly" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* if, you, please, sir, started, violently", "best_n": 0, "prediction_base": " if you, please, sir, the rabbit started, violently,", "prediction_medium": " the rabbits started violently, the rabbits started violently, the", "prediction_large_v3": " If you please, sir— The rabbit started violently." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and sometimes different spellings.", "best_n": 0, "prediction_base": " If you please sir, the rabbit started violently.", "prediction_medium": " If you please, sir—", "prediction_large_v3": " If you please, sir— The rabbit started violently." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be more than one homophone for each word, but I have only listed the most common ones.", "best_n": 0, "prediction_base": " If you please, sir, the rabbit started violently.", "prediction_medium": " If you please, sir—the rabbit storted violently—", "prediction_large_v3": " If you please, sir— The rabbit started violently." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* if you please (if, ivy, you, ewe, please, peas, sir, surgery, the, thy, rabbit, raspberry, started, stated, violently, vitally)", "best_n": 0, "prediction_base": " if you please, sir, the rabbit started, violently,", "prediction_medium": " if you please, sir, the rabbit, started, violently,", "prediction_large_v3": " if you please, sir, the rabbit started violently" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n if you please sir the rabbit started violently [/INST]", "segment_id": "AUD0000000468_S0000169", "text": "if you please sir the rabbit started violently ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may have additional homophones not listed here, depending on the context in which they are used.", "best_n": 0, "prediction_base": " If you please sir, the rabbit started violently.", "prediction_medium": " If you please, sir—", "prediction_large_v3": " If you please, sir— The rabbit started violently." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may have more than one homophone, depending on the context and accent.", "best_n": 0, "prediction_base": " Looked up once into the roof of the hall.", "prediction_medium": " Looked up once into the roof of the hall,", "prediction_large_v3": " looked up once into the roof of the hall" }, { "input": null, "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " looked up once into the roof of the hall.", "prediction_medium": " looked up once into the roof of the hall.", "prediction_large_v3": " looked up once into the roof of the hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I took up the pup and looked upon the rough roof.", "best_n": 0, "prediction_base": " Looked up once into the roof of the hall,", "prediction_medium": " I looked up once into the roof of the hall, and saw a large, long, long, long, long, long,", "prediction_large_v3": " Looked up once into the roof of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Certainly! Here are the homophones for each word in the sentence:\n\n1. \"looked\":\n\t* looked\n\t* took\n\t* woke\n2. \"up\":\n\t* up\n\t* upon\n\t* under\n3. \"into\":\n\t* in\n\t* on\n\t* into\n4. \"roof\":\n\t* roof\n\t* rough\n\t* rug\n5. \"of\":\n\t* of\n\t* off\n\t* on\n6. \"the\":\n\t* the\n\t* thy\n\t* then\n7. \"hall\":\n\t* hall\n\t* hail\n\t* tall\n\nHere is the sentence with the homophones:\n\nlooked up once into the roof of the hail\nlooked up once into the rough of the thall\nlooked up once into the rug of the tall\nlooked up once into the on of the off\nlooked up once into the in of the thy\nlooked up once into the on of the all", "best_n": 0, "prediction_base": "looked up once into the roof of the haillvania", "prediction_medium": " look top once into the roof of the hall", "prediction_large_v3": " looked up once into the roof of the hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. looked: looked, took, cooked\n2. up: up, cup, pup\n3. into: into, in, tin\n4. of: of, off, on\n5. the: the, they, their\n6. roof: roof, rough, root\n7. hall: hall, haul, hole", "best_n": 0, "prediction_base": " looked up once into the roof of the hall", "prediction_medium": " looked up once into the roof of the hall, and saw a", "prediction_large_v3": " looked up once into the roof of the hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words may have multiple homophones, but I've only listed one for each word.", "best_n": 0, "prediction_base": " Looked up once into the roof of the hall,", "prediction_medium": " Looked up once into the roof of the hall,", "prediction_large_v3": " Looked up once into the roof of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " Looked up once into the roof of the hall.", "prediction_medium": " Looked up once into the roof of the hall,", "prediction_large_v3": " Looked up once into the roof of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. looked:\n\t* looked (correct spelling)\n\t* looked (past tense of \"look\")\n\t* сель (Russian word for \"looked\")\n2. up:\n\t* up (correct spelling)\n\t* up (preposition)\n\t* упада!(\"Russian word for \"up\")\n3. into:\n\t* into (correct spelling)\n\t* into (preposition)\n\t* жил (Russian word for \"into\")\n4. the:\n\t* the (correct spelling)\n\t* the (article)\n\t* в (Russian word for \"the\")\n5. roof:\n\t* roof (correct spelling)\n\t* roof (noun)\n\t* кровля (Russian word for \"roof\")\n6. of:\n\t* of (correct spelling)\n\t* of (preposition)\n\t* out (Russian word for \"of\")\n7. the:\n\t* the (correct spelling)\n\t* the (article)\n\t* в (Russian word for \"the\")\n8. hall:\n\t* hall (correct spelling)\n\t* hall (noun)\n\t* зал (Russian word for \"hall\")", "best_n": 0, "prediction_base": "ICEOVER1. looked up once into the roof of the hall", "prediction_medium": " Kazu4. looked up once into the roof of the hall,", "prediction_large_v3": " looked up once into the roof of the hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and sometimes different spellings.", "best_n": 0, "prediction_base": " Looked up once into the roof of the hall,", "prediction_medium": " Looked up once into the roof of the hall,", "prediction_large_v3": " Looked up once into the roof of the hall." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"looked\" - looked, locket, luke\n* \"up\" - up, uptight, helper\n* \"into\" - into,inn, invent\n* \"roof\" - roof, ruff, rough\n* \"of\" - of, ownership, off\n* \"the\" - the, their, they're\n* \"hall\" - hall, hell, hull", "best_n": 0, "prediction_base": " looked up once into the roof of the hull", "prediction_medium": " looked up once into the roof of the hall", "prediction_large_v3": " looked up once into the roof of the hall" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n looked up once into the roof of the hall [/INST]", "segment_id": "AUD0000000468_S0000170", "text": "looked up once into the roof of the hall ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. looked: looked, looked, locked\n2. up: up, up, ic, cup\n3. into: into, in, tin, tinto\n4. the: the, e,he, she\n5. roof: roof, robe, rug, rub\n6. of: of, on, an, In\n7. the: the, e, he, she\n8. hall: hall, hail, hell, hull", "best_n": 0, "prediction_base": " looked up once into the roof of the hall,", "prediction_medium": " looked up once into the roof of the hall,", "prediction_large_v3": " looked up once into the roof of the hall," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. from:\n\t* fir (a type of tree)\n\t* four (the number)\n\t* fort (a structure)\n2. which:\n\t* witch (a woman thought to have magical powers)\n\t* hwich (or which, a type of bird)\n3. voice:\n\t* Fox (a type of animal)\n\t*joyce (a type of container)\n\t* Juice (a type of beverage)\n4. seemed:\n\t* seamed (a type of stitch)\n\t* screamed (a loud, high-pitched noise)\n\t* schemed (a plan or plot)\n5. come:\n\t* com (a type of computer chip)\n\t* common (a shared language or interest)\n\t* some (a quantity)", "best_n": 0, "prediction_base": "ßerdem Hola, additions ή coin,", "prediction_medium": " from which the voice seemed to come", "prediction_large_v3": " from which the voice seemed to come" }, { "input": null, "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " from which the voice seemed to come.", "prediction_medium": " from which the voice seemed to come.", "prediction_large_v3": " from which the voice seemed to come," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* from: form, froom, fo rm\n* which: witch, with, whit\n* seemed: seam, theme,team", "best_n": 0, "prediction_base": " from which the voice seemed to come.", "prediction_medium": " from which the voice seemed to come", "prediction_large_v3": " from which the voice seemed to come" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "from (form/forth/four) which (witch/wceh/seem) seemed (seem/seam/Semblance) to (too/two/touse) come (come/COM/cum)", "best_n": 0, "prediction_base": " from which the voice seemed to come.", "prediction_medium": " from which the voice seemed to come.", "prediction_large_v3": " from which the voice seemed to come" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " From which the voice seemed to come.", "prediction_medium": " From which the voice seemed to come.", "prediction_large_v3": " From which the voice seemed to come," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence has a total of 6 homophones.", "best_n": 0, "prediction_base": " From which the voice seemed to come.", "prediction_medium": " From which the voice seemed to come.", "prediction_large_v3": " From which the voice seemed to come," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* come (verb)\n* hom (verb, Archaic)\n* some (pronoun)", "best_n": 0, "prediction_base": " from which the voice seemed to come.", "prediction_medium": " from which the voice seemed to come", "prediction_large_v3": " from which the voice seemed to come," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"from which the voice seemed to come\" has five homophones.", "best_n": 0, "prediction_base": " From which the voice seemed to come.", "prediction_medium": " From which the voice seemed to come.", "prediction_large_v3": " From which the voice seemed to come," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones listed here may not be perfect substitutes in all contexts, but they are all technically correct homophones of the words in the original sentence.", "best_n": 0, "prediction_base": " From which the voice seemed to come.", "prediction_medium": " From which the voice seemed to come.", "prediction_large_v3": " From which the voice seemed to come," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " From which the voice seemed to come.", "prediction_medium": " From which the voice seemed to come.", "prediction_large_v3": " From which the voice seemed to come," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n from which the voice seemed to come [/INST]", "segment_id": "AUD0000000468_S0000171", "text": "from which the voice seemed to come ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " From which the voice seemed to come.", "prediction_medium": " From which the voice seemed to come.", "prediction_large_v3": " From which the voice seemed to come," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and then dropped the josesgay and the right gloves.", "best_n": 0, "prediction_base": " And then dropped the nosgay and the white kid gloves.", "prediction_medium": " And then dropped the nosegay and the white kid gloves.", "prediction_large_v3": " And then dropped the nosegay and the white kid gloves." }, { "input": null, "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And then dropped the nose gay and the white kid gloves.", "prediction_medium": " and then dropped the nose-gay and the white kid gloves", "prediction_large_v3": " and then dropped the nosegay and the white kid gloves" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& & dropped\nnuzzle, nosy, nautilus dropped\nbright, blight, flight white\nkit, did, hid white\nglobe, love, stub gloves", "best_n": 0, "prediction_base": " & then dropped the nose gay & whitekit gloves", "prediction_medium": " & then dropped the nosegay & the white kit gloves,", "prediction_large_v3": " and then dropped the nosegay and the white kid gloves" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& then dropt the nosegay & the wh Fines & did gloves\"", "best_n": 0, "prediction_base": " And then, dropped the nosegay & the white kid gloves.", "prediction_medium": " & then dropt the nosegay & the white kid gloves", "prediction_large_v3": " and then dropt the nosegay & the white kid gloves" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and then dropped the nosey (as in \"nosy\") & the white (whit) glove(s) (gluvs, gloavs)", "best_n": 0, "prediction_base": " & then dropped the nose gay & the white kid gloves.", "prediction_medium": " and then dropped the nosey & the white gloves", "prediction_large_v3": " and then dropped the nosegay and the white kid gloves" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that noncegay is a rare word that is no longer in common use, but it is a historically attested form of nosegay. Groves is another word for gloves, and ped is an archaic term for a child.", "best_n": 0, "prediction_base": " And then dropped the nosegay and the white kid gloves.", "prediction_medium": " And then dropped the nosegay and the white kid gloves,", "prediction_large_v3": " And then dropped the nosegay and the white kid gloves," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that nosegay has three homophones, as it has two different pronunciations (\"nos-guy\" and \"noh-suh-guy\") and one near-homophone (\"ossey\" or \"ozsey\").", "best_n": 0, "prediction_base": " And then dropped the nosegay and the white kid gloves.", "prediction_medium": " And then dropped the nosegay and the white kid gloves", "prediction_large_v3": " and then dropped the nosegay and the white kid gloves" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\ndropped: dropp'd\nnosegay: nos pressui\nwhite: whit\nkid: kids\ngloves: gloove", "best_n": 0, "prediction_base": " & then dropped the nos gay & white kid gloves.", "prediction_medium": " & then dropped the nosegay & the white kid gloves", "prediction_large_v3": " & then dropp'd the nosegay & the white kid gloves" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& then dropt the nosily & the write did moves.\"", "best_n": 0, "prediction_base": " And then, dropped the nose gay & the white kid gloves.", "prediction_medium": " And then dropt the nose gay & the white kid gloves.", "prediction_large_v3": " And then dropt the nosegay & the white kid gloves," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And then dropt the nose-gay and the white gloove.", "best_n": 0, "prediction_base": " And then dropt the nose-gay and the white kid gloves.", "prediction_medium": " And then dropt the nose-gay and the white kid gloves.", "prediction_large_v3": " And then dropt the nose-gay and the white kid gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then dropped the nosegay and the white kid gloves [/INST]", "segment_id": "AUD0000000468_S0000172", "text": "and then dropped the nosegay and the white kid gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* dropped: drowned, roped, stooped\n* nosegay: noseway, nod part\n* white: right, wright, write\n* gloves: glabel, globe, Neptune", "best_n": 0, "prediction_base": " and then dropped the nosegay and the white kid gloves.", "prediction_medium": " & then dropped the nosegay & the white kid gloves", "prediction_large_v3": " and then dropped the nosegay and the white kid gloves" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may be less common or more regional than others. Also, keep in mind that some words may have multiple homophones, depending on the dialect or accent.", "best_n": 0, "prediction_base": " Alice took up the nose gate and gloves.", "prediction_medium": " Alice took up the nose-gay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": null, "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Alice took up the nose gate and gloves.", "prediction_medium": " Alice took up the nose-gay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "There are a total of 18 homophones in the sentence!", "best_n": 0, "prediction_base": " Alice took up the nose gate and gloves.", "prediction_medium": " Alice took up the nose-gay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones for each word, but the above are some of the most common ones.", "best_n": 0, "prediction_base": " Alice took up the nose gate and gloves.", "prediction_medium": " Alice took up the nose-gay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"Alice\" has multiple homophones, but \"Nosenay\" and \"Gloves\" do not have any.", "best_n": 0, "prediction_base": " Alice took up the nose gate and gloves.", "prediction_medium": " Alice took up the Nosenay and Gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Alice: Alice, Alys\n* took: took, took up\n* up: up, upwards\n* nosegay: nosegay, nose-gay\n* gloves: gloves, golf", "best_n": 0, "prediction_base": " Alice took up the nosegay and gloves", "prediction_medium": " Alice took up the nosegay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"Alice\" - Lice, Wise, Size\n2. \"took\" - Cook, Spoke, Rook\n3. \"up\" - Up, Cup, Pup\n4. \"nosegay\" - Nosey, Sou'-wester, Souse\n5. \"gloves\" - Glove, Love, Grieves", "best_n": 0, "prediction_base": " Alice took up the nosegay and gloves.", "prediction_medium": " Alice took up the nosegay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, and some homophones may not be exact synonyms but are still pronounced the same way.", "best_n": 0, "prediction_base": " Alice took up the nose gate and gloves.", "prediction_medium": " Alice took up the nose-gay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones for each word, but these are some common ones.", "best_n": 0, "prediction_base": " Alice took up the nose gate and gloves.", "prediction_medium": " Alice took up the nose-gay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Alice: Alyce, Alicey, Ally, Alise\n* took: took, toke, tak, takes\n* up: up, uppe, para, upset\n* nosegay: nosgay, posy, nosegayed\n* gloves: glove, gloven, glovve, gloves", "best_n": 0, "prediction_base": " Alice took up the nosegay and gloves", "prediction_medium": " Alice took up the nosegay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n alice took up the nosegay and gloves [/INST]", "segment_id": "AUD0000000468_S0000174", "text": "alice took up the nosegay and gloves ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different spellings and/or meanings. The homophones listed above are not exhaustive, but they are some of the most common ones for each word in the sentence.", "best_n": 0, "prediction_base": " Alice took up the nose gate and gloves.", "prediction_medium": " Alice took up the nose-gay and gloves.", "prediction_large_v3": " Alice took up the nosegay and gloves." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and - and, accident, on, an\nyesterday - yesterday, disarray, day, lay\neverything - everything, everything else, elaborate\nhappened - happened, happening, happen\njust - just, joint\nas - as, ass\nusual - usual, unusual\nwonder - wonder, wander\nif - if, iffy\nchanged - changed, chanced\nnight - night, knight", "best_n": 0, "prediction_base": " and yesterday everything happened, just as usual, I wonder if I was changed in the night?", "prediction_medium": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_large_v3": " and, yesterday, everything happened just as usual. I wonder if I was changed in the night." }, { "input": null, "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_medium": " And yesterday everything happened just as usual. I wonder if I was changed in the night.\"", "prediction_large_v3": " And yesterday everything happened just as usual. I wonder if I was changed in the night.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& (and)\nyester(yesterday)\nev(everything)\nhap (happened)\njut (just)\nase (as)\nus(ual)\neye (I)\nwindor (wonder)\niff (if)\nchan(changed)\ninn (in)\nknight (night)", "best_n": 0, "prediction_base": " & yesterday everything happened just as usual! I wonder if I was changed in the night.", "prediction_medium": " & yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_large_v3": " And yesterdaysterday, everything happened just as usual. I wonder if I was changed in the night." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (and, an) yesterday (yesterday, today) everything (everything, nothing) happened (happened, hap-> Pen, Pat) just (just, juste) as (as, ays) usual (usual, usually, usualIy) i (I, eye) wonder (wonder, wandering) if (if, iff) i was (changed, changing, changEd) in (in, inn) the (the, thE) night.", "best_n": 0, "prediction_base": " and yesterday, everything happened, just as usual. I wonder if i was changed in the night.", "prediction_medium": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_large_v3": " And yesterday everything happened just as usual. I wonder if I was changed in the night." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple potentially correct homophones, and some are more distantly related than others. Additionally, please be aware that some words may have multiple acceptable pronunciations or meanings, but for the purposes of this exercise I have only listed one possibility for each word.", "best_n": 0, "prediction_base": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_medium": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_large_v3": " Thank you for watching." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& (and)\nyesterday (yesterday)\nev'rything (everything)\nhap'ned (happened)\na's (as)\nus'al (usual)\nI (i)\nwond'r (wonder)\niff (if)\nch'anged (changed)\nin (in)", "best_n": 0, "prediction_base": " & yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_medium": " the night.", "prediction_large_v3": " And yesterdaystday, everything happened just as usual. I wonder if I was changed in the night." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"aine yestreen every thing happPned iust ase useal eye wnder iff cheänge in the nite.\"", "best_n": 0, "prediction_base": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_medium": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_large_v3": " And yesterday everything happened just as usual. I wonder if I was changed in the night." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. yesterday: yesternight\n3. everything: everie thing\n4. happened: hapned\n5. just: jist\n6. as: ase\n7. usual: us Being that \"usual\" has a u in it, this sentence does not contain a homophone for it.\n8. i: i\n9. wonder: wnder\n10. if: iff\n11. was: wuz\n12. changed: chanced\n13. night: nite", "best_n": 0, "prediction_base": " & yesternight Nove1. everything happened just as usual. i wonder if i was changed in the night.", "prediction_medium": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_large_v3": " & yesterday everything happened just as usual. i wonder if i was changed in the night." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, and some are more correct than others (e.g., \"in\" has three homophones, but \"inn\" is not a word).", "best_n": 0, "prediction_base": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_medium": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_large_v3": " and yesterday everything happened just as usual. I wonder if I was changed in the night." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_medium": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_large_v3": " And yesterday everything happened just as usual. I wonder if I was changed in the night." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and yesterday everything happened just as usual i wonder if i was changed in the night [/INST]", "segment_id": "AUD0000000468_S0000176", "text": "and yesterday everything happened just as usual i wonder if i was changed in the night ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Here are all the homophones for the sentence you provided. I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_medium": " And yesterday everything happened just as usual. I wonder if I was changed in the night.", "prediction_large_v3": " And yesterday everything happened just as usual. I wonder if I was changed in the night." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"let\" - \"let\", \"let's\"\n2. \"me\" - \"me\", \"my\"\n3. \"think\" - \"think\", \"sink\"\n4. \"was\" - \"was\", \"want\"\n5. \"i\" - \"i\", \"eye\"\n6. \"the\" - \"the\", \"they\"\n7. \"same\" - \"same\", \"game\"\n8. \"when\" - \"when\", \"wen\"\n9. \"got\" - \"got\", \"go\"\n10. \"up\" - \"up\", \"upon\"\n11. \"this\" - \"this\", \"that\"\n12. \"morning\" - \"morning\", \"mourning\"", "best_n": 0, "prediction_base": " let me think, was either same when I got up this morning?", "prediction_medium": " Let me think. Was I the same when I got up this morning?", "prediction_large_v3": " Let me think. Was I the same when I got up this morning?" }, { "input": null, "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Let me think. Was I the same when I got up this morning?", "prediction_medium": " Let me think. Was I the same when I got up this morning?", "prediction_large_v3": " Let me think. Was I the same when I got up this morning?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* This (these)\n* Morning (mourning)", "best_n": 0, "prediction_base": " Let me think, was I the same when I got up this morning?", "prediction_medium": " Let me think. Was I the same when I got up this morning?", "prediction_large_v3": " Let me think. Was I the same when I got up this morning?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones I've provided are not exact homophones, but they are words that are commonly confused with the original word.", "best_n": 0, "prediction_base": " Let me think, was I the same when I got up this morning?", "prediction_medium": " Let me think. Was I the same when I got up this morning?", "prediction_large_v3": " Let me think. Was I the same when I got up this morning?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there are more homophones for each word, but the ones I provided are the most relevant to the sentence.", "best_n": 0, "prediction_base": " Let me think. Was I the same when I got up this morning?", "prediction_medium": " Let me think. Was I the same when I got up this morning?", "prediction_large_v3": " Let me think. Was I the same when I got up this morning?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* the (thee, three)\n* when (win, within)\n* got (goat, god)\n* up (up, upstairs)\n* this (this, those)\n* morning (mourning, morning air)", "best_n": 0, "prediction_base": " let me think was either same when I got up this morning?", "prediction_medium": " Let me think. Was I the same when I got up this morning?", "prediction_large_v3": " Let me think. Was I the same when I got up this morning?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. let = let, leave\n2. me = me, my\n3. think = think, sink\n4. was = was, wave\n5. i = i, eye\n6. the = the, ther\n7. same = same, game\n8. when = when, wean\n9. got = got, goat\n10. up = up, uh", "best_n": 0, "prediction_base": " let me think, was i the same when i got up this morning?", "prediction_medium": " let me think, was i the same when i got up this morning?", "prediction_large_v3": " let me think. was i the same when i got up this morning?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there may be additional homophones for each word, but the ones I've listed are the most common.", "best_n": 0, "prediction_base": " Let me think. Was I the same when I got up this morning?", "prediction_medium": " Let me think. Was I the same when I got up this morning?", "prediction_large_v3": " Let me think. Was I the same when I got up this morning?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"let\" - let, Leb, leep\n2. \"me\" - me, migh, mide\n3. \"think\" - think, sink, drink\n4. \"was\" - was, wass, glass\n5. \"i\" - i, eye, buy\n6. \"the\" - the, bee, see\n7. \"same\" - same, game, tame\n8. \"when\" - when, win, pen\n9. \"got\" - got, gotten, elaborate\n10. \"up\" - up, pupp, sup\n11. \"this\" - this, exist, wish\n12. \"morning\" - morning, mourning, warning", "best_n": 0, "prediction_base": " let me think, was i the same when i got up this morning?", "prediction_medium": " Let me think. Was I the same when I got up this morning?", "prediction_large_v3": " Let me think. Was I the same when I got up this morning?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "let (let, lea, lett) me (mere, mme) think (sink, stink, think) was (saw, swam, was) i (i, eye, hi) the (the, thee, thay) same (same, sam, sosc) when (whin, wren, when) got (goat, goat, got) up (ub, yp, up) this (this, thiz, dis) morning (morning, murnin, morn).", "best_n": 0, "prediction_base": " let me think, was i the same when i got up this morning?", "prediction_medium": " Let me think, was I the same when I got up this morning?", "prediction_large_v3": " let me think was i the same when i got up this morning" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me think was i the same when i got up this morning [/INST]", "segment_id": "AUD0000000468_S0000177", "text": "let me think was i the same when i got up this morning ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed may not be perfect, but they are the most common ones for each word.", "best_n": 0, "prediction_base": " Let me think. Was I the same when I got up this morning?", "prediction_medium": " Let me think. Was I the same when I got up this morning?", "prediction_large_v3": " Let me think. Was I the same when I got up this morning?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions or need further assistance.", "best_n": 0, "prediction_base": " I think I remember feeling rather different.", "prediction_medium": " I think I remember feeling rather different.", "prediction_large_v3": " I think I remember feeling rather different." }, { "input": null, "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I think I remember feeling rather different.", "prediction_medium": " I think I remember feeling rather different.", "prediction_large_v3": " I think I remember feeling rather different." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "i (eye) - I (eye)\nthink (sink) - sink\ni (eye) - eye\nremember (remain) - remain\nfeeling (healing) - healing\nrather (hadher) - had her\ndifferent (dictate) - dictate", "best_n": 0, "prediction_base": " I think I remember feeling rather different.", "prediction_medium": " I think I remember feeling rather different.", "prediction_large_v3": " I think I remember feeling rather different." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I eye think I sink I remember feelin' redder, but I'm not so sure.", "best_n": 0, "prediction_base": " I think I remember feeling rather different.", "prediction_medium": " I think I remember feeling rather different.", "prediction_large_v3": " I think I remember feeling rather different." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "i sink i remember feeling feeing rather distinguished", "best_n": 0, "prediction_base": " i think i remember feeling rather different", "prediction_medium": " i think i remember feeling rather different", "prediction_large_v3": " i think i remember feeling rather different" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. I eye the situation carefully. (eye)\n2. I sink into a state of despair. (sink)\n3. I am a member of a secret club. (member)\n4. I feign a smile to hide my pain. (feigning)\n5. The color is rather red. (redder)\n6. The two options are distinct and desperate. (distinct)", "best_n": 0, "prediction_base": " I think I remember feeling rather different.", "prediction_medium": " I think I remember feeling rather different.", "prediction_large_v3": " I think I remember feeling rather different." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "i (I, eye, ye) think (sink, drink, shrink, stink) i (I, eye, ye) remember (member, dismember, recollect, devoting) feeling (healing, peeling, dealing, revealing) different (distinguishing, devoting, dividing,conceiving)", "best_n": 0, "prediction_base": " i think i remember feeling rather different.", "prediction_medium": " i think i remember feeling rather different", "prediction_large_v3": " I think I remember feeling rather different." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are more than one homophone for each word in the sentence, but I've provided the most common ones.", "best_n": 0, "prediction_base": " I think I remember feeling rather different.", "prediction_medium": " I think I remember feeling rather different.", "prediction_large_v3": " I think I remember feeling rather different." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* i sink i remember feeling rather drink different", "best_n": 0, "prediction_base": " i think i remember feeling rather different", "prediction_medium": " i think i remember feeling rather different", "prediction_large_v3": " i think i remember feeling rather different" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " I think I remember feeling rather different.", "prediction_medium": " I think I remember feeling rather different.", "prediction_large_v3": " I think I remember feeling rather different." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i think i remember feeling rather different [/INST]", "segment_id": "AUD0000000468_S0000178", "text": "i think i remember feeling rather different ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* think: sink, drink, link\n* remember: remember, disremember, predict\n* felt: felt, field, felled\n* rather: rather, radish, redder\n* different: difference, devour, divide", "best_n": 0, "prediction_base": " I think I remember feeling rather different.", "prediction_medium": " I think I remember feeling rather different.", "prediction_large_v3": " I think I remember feeling rather different." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but if i'm not the same who in the world am i ah [/INST]", "segment_id": "AUD0000000468_S0000179", "text": "but if i'm not the same who in the world am i ah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but if i'm not the same who in the world am i ah", "best_n": 0, "prediction_base": " i'm not the same who in the world am i", "prediction_medium": " but if i'm not the same who in the world am i", "prediction_large_v3": " but if i'm not the same who in the world am i" }, { "input": null, "segment_id": "AUD0000000468_S0000179", "text": "but if i'm not the same who in the world am i ah ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But if I'm not the same, who in the world am I?", "prediction_medium": " But if I'm not the same, who in the world am I?", "prediction_large_v3": " But if I'm not the same, who in the world am I?\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but if i'm not the same who in the world am i ah [/INST]", "segment_id": "AUD0000000468_S0000179", "text": "but if i'm not the same who in the world am i ah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " But if I'm not the same, who in the world am I?", "prediction_medium": " But if I'm not the same, who in the world am I?", "prediction_large_v3": " But if I'm not the same, who in the world am I?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but if i'm not the same who in the world am i ah [/INST]", "segment_id": "AUD0000000468_S0000179", "text": "but if i'm not the same who in the world am i ah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* But: bet, butt\n* If: iff, iv, cf\n* Not: knot, pot\n* Same: same, slam\n* Who: woo, hoo\n* In: in, inn, ine\n* The: the, ther, thy\n* World: word, serie, pres", "best_n": 0, "prediction_base": " But if I'm not the same, who in the world am I?", "prediction_medium": " But if I'm not the same, who in the world am I?", "prediction_large_v3": " But if I'm not the same, who in the world am I?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but if i'm not the same who in the world am i ah [/INST]", "segment_id": "AUD0000000468_S0000179", "text": "but if i'm not the same who in the world am i ah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. But - but, bat\n2. if - iff\n3. I'm - I'm, Im\n4. not - knot\n5. the same - same, the same\n6. who - woo\n7. in the world - in the wood\n8. am - am, im\n9. I - eye\n10. ah - a", "best_n": 0, "prediction_base": " but if I'm not the same, who in the world am I?", "prediction_medium": " but if I'm not the same, who in the world am I?", "prediction_large_v3": " but if I'm not the same, who in the world am I?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but if i'm not the same who in the world am i ah [/INST]", "segment_id": "AUD0000000468_S0000179", "text": "but if i'm not the same who in the world am i ah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings. I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " But if I'm not the same, who in the world am I?", "prediction_medium": " But if I'm not the same, who in the world am I?", "prediction_large_v3": " But if I'm not the same, who in the world am I?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but if i'm not the same who in the world am i ah [/INST]", "segment_id": "AUD0000000468_S0000179", "text": "but if i'm not the same who in the world am i ah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones for each word depending on the context and accent.", "best_n": 0, "prediction_base": " But if I'm not the same, who in the world am I?", "prediction_medium": " But if I'm not the same, who in the world am I?", "prediction_large_v3": " But if I'm not the same, who in the world am I?\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but if i'm not the same who in the world am i ah [/INST]", "segment_id": "AUD0000000468_S0000179", "text": "but if i'm not the same who in the world am i ah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "But: put, pit\nI'm: he's, is\nNot: not, knot\nSame: same, game\nWho: who, woo\nIn: in, sin\nThe: the, thre\nWorld: world, girl\nAm: am, arm\nAh: ah, a", "best_n": 0, "prediction_base": " but if I'm not the same, who in the world am I?", "prediction_medium": " But if I'm not the same, who in the world am I?", "prediction_large_v3": " But if I'm not the same, who in the world am I?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but if i'm not the same who in the world am i ah [/INST]", "segment_id": "AUD0000000468_S0000179", "text": "but if i'm not the same who in the world am i ah ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"butt\"\n2. \"im\"\n3. \"knot\"\n4. \"thee\"\n5. \"woe\"\n6. \"hm\"\n7. \"eye\"\n8. \"ha\"", "best_n": 0, "prediction_base": " crian7. But if I'm not the same, who in the world am I?", "prediction_medium": " But if I'm not the same, who in the world am I?", "prediction_large_v3": " But if I'm not the same, who in the world am I?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there may be other homophones for each word, but the ones listed here are some of the most common ones.", "best_n": 0, "prediction_base": " And she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " And she began thinking over all the children she knew of the same age as herself.", "prediction_large_v3": " And she began thinking over all the children she knew of the same age as herself." }, { "input": null, "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " and she began thinking over all the children she knew of the same age as herself.", "prediction_large_v3": " and she began thinking over all the children she knew of the same age as herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and she bean sinkin all chilvren of the sam age as hirs Sunelf.", "best_n": 0, "prediction_base": " And she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " And she began thinking over all the chilvren she knew of the same age as herself.", "prediction_large_v3": " And she began thinking over all the chilvren she knew of the same age as hirs" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& (and)\nshell (she)\nbean (began)\nthinning (thinking)\no'er (over)\nchirren (children)\nsame (same)\nage (age)", "best_n": 0, "prediction_base": " & she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " & shebeganthinkingoverallthechildrensheknewofthesameageasherself", "prediction_large_v3": " and she began thinking over all the children she knew of the same age as herself" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& she bended sing all the chicken of the same rage as self.", "best_n": 0, "prediction_base": " And she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " & she began thinking over all the children she knew of the same age as herself.", "prediction_large_v3": " And she began thinking over all the children she knew of the same age as herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. she: shore\n3. began: band\n4. thinking: thing-ing\n5. over: o-er\n6. children: chirren\n7. same: same\n8. age: aj\n9. as: as\n10. herself: heself", "best_n": 0, "prediction_base": " & she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " and she began thinking over all the children she knew of the same age as herself.", "prediction_large_v3": " and she began thinking over all the children she knew of the same age as herself," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and, in some cases, different spellings.", "best_n": 0, "prediction_base": " And she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " And she began thinking over all the children she knew of the same age as herself.", "prediction_large_v3": " And she began thinking over all the children she knew of the same age as herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& Shaw banned remarking ove childern new oh same ape", "best_n": 0, "prediction_base": " and she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " & she began thinking over all the children she knew of the same age as herself.", "prediction_large_v3": " and she began thinking over all the children she knew of the same age as herself" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& she screeched over all the kids of the same stage as herself.", "best_n": 0, "prediction_base": " And she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " & she began thinking over all the children she knew of the same age as herself.", "prediction_large_v3": " And she began thinking over all the children she knew of the same age as herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Shore bee-oh-nd thinking o-ver chill-drn of sam ate hes-silf.\"", "best_n": 0, "prediction_base": " And she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " And she began thinking over all the children she knew of the same age as herself.", "prediction_large_v3": " And she began thinking over all the children she knew of the same age as herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and she began thinking over all the children she knew of the same age as herself [/INST]", "segment_id": "AUD0000000468_S0000181", "text": "and she began thinking over all the children she knew of the same age as herself ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions or if you'd like me to provide homophones for any other sentences.", "best_n": 0, "prediction_base": " And she began thinking over all the children she knew of the same age as herself.", "prediction_medium": " And she began thinking over all the children she knew of the same age as herself.", "prediction_large_v3": " And she began thinking over all the children she knew of the same age as herself." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"to sea if she could have been Chang Fort fore any of them\"", "best_n": 0, "prediction_base": " to sea if she could have been Chang Fort fore any of them.", "prediction_medium": " to sea if she could have been Chang Fort fore any of them", "prediction_large_v3": " to see if she could have been changed for any of them." }, { "input": null, "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " to see if she could have been changed for any of them.", "prediction_medium": " to see if she could have been changed for any of them.", "prediction_large_v3": " to see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "see: sea, swe, sée\ncould: would, wood, culd\nhave: have, hae, halve\nbeen: bean, bin, been\nchanged: chanced, champion, charged", "best_n": 0, "prediction_base": " to see if she could have been changed for any of them.", "prediction_medium": " to see if she could have been changed for any of them.", "prediction_large_v3": " to see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"to seak if shea culd ben chagne fur anye of them\"", "best_n": 0, "prediction_base": " to seak if she coulda been changed for any of them.", "prediction_medium": " to see if she could have been changed for any of them", "prediction_large_v3": " to see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "To see if she could have been key (insert word here) for any of them.", "best_n": 0, "prediction_base": " To see if she could have been changed for any of them.", "prediction_medium": " To see if she could have been changed for any of them.", "prediction_large_v3": " To see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are not exact, but they are all related to the original word in some way.", "best_n": 0, "prediction_base": " To see if she could have been changed for any of them.", "prediction_medium": " To see if she could have been changed for any of them.", "prediction_large_v3": " To see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* sea (see)\n* sell (could)\n* halve (have)\n* bean (been)\n* chamced (changed)", "best_n": 0, "prediction_base": " to see if she could have been changed for any of them.", "prediction_medium": " to see if she could have been changed for any of them.", "prediction_large_v3": " to see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: The homophones listed are not exhaustive, but they are some of the most common ones for each word.", "best_n": 0, "prediction_base": " To see if she could have been changed for any of them.", "prediction_medium": " To see if she could have been changed for any of them.", "prediction_large_v3": " To see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " To see if she could have been changed for any of them.", "prediction_medium": " To see if she could have been changed for any of them.", "prediction_large_v3": " To see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " To see if she could have been changed for any of them.", "prediction_medium": " To see if she could have been changed for any of them.", "prediction_large_v3": " To see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to see if she could have been changed for any of them [/INST]", "segment_id": "AUD0000000468_S0000182", "text": "to see if she could have been changed for any of them ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"changed\" has three homophones, but one of them (\"chainged\") is a misspelling and not a commonly used word.", "best_n": 0, "prediction_base": " to see if she could have been changed for any of them.", "prediction_medium": " To see if she could have been changed for any of them.", "prediction_large_v3": " To see if she could have been changed for any of them." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i'm not gertrude she said [/INST]", "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"i'm sure i'm not gertrude\"\n\t+ \"I'm sure I'm not Gertrude\"\n\t+ \"I am sure I'm not Gertrude\"\n\t+ \"I am assured I'm not Gertrude\"\n\t+ \"I am confident I'm not Gertrude\"\n\t+ \"I am not Gertrude\"\n\t+ \"Gertrude\"\n\t+ \"gentrude\"\n\t+ \"gertude\"\n\t+ \"getrude\"\n\t+ \"she said\"\n\t+ \"she spoke\"\n\t+ \"she uttered\"\n\t+ \"she sounded\"", "best_n": 0, "prediction_base": " Guatemчески+, I'm sure I'm not Gertrude, she said.", "prediction_medium": "isphere-I'm sure I'm not Gertrude, she said.\"", "prediction_large_v3": " I'm sure I'm not gertrude she said" }, { "input": null, "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I'm sure I'm not Gertrude,\" she said.", "prediction_medium": " I'm sure I'm not Gertrude,\" she said.", "prediction_large_v3": " I'm sure I'm not Gertrude,\" she said." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i'm not gertrude she said [/INST]", "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones for \"I'm\": I'm, imm, im\nHomophones for \"sure\": sure, shoe, show\nHomophones for \"not\": not, knot, no\nHomophones for \"gertrude\": gertrude, gerd, grudge\nHomophones for \"she\": she, shy, shoe\nHomophones for \"said\": said, sighed, sight", "best_n": 0, "prediction_base": " I'm sure I'm not gertrude,\" she said", "prediction_medium": " I'm sure I'm not gertrude, she said.", "prediction_large_v3": " I'm sure I'm not Gertrude, she said." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i'm not gertrude she said [/INST]", "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I'm sure I'm not Gertrude, she said.", "prediction_medium": " I'm sure I'm not Gertrude, she said.", "prediction_large_v3": " I'm sure I'm not Gertrude,\" she said." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i'm not gertrude she said [/INST]", "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I'm (im, I am) not (knot, ken) Gertrude (bringing, bred) she (he, her) said (paid, play'd).", "best_n": 0, "prediction_base": " I'm sure I'm not Gertrude, she said.", "prediction_medium": " I'm sure I'm not Gertrude, she said.", "prediction_large_v3": " I'm sure I'm not Gertrude, she said." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i'm not gertrude she said [/INST]", "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"I'm\"\n\t* I'm (I am)\n\t* Im (a prefix)\n2. \"sure\"\n\t* shore (a place by the sea)\n\t* Sure (a word that means certain or confident)\n3. \"not\"\n\t* knot (a type of tie or bundle)\n\t* not (a word that means contrary or negating)\n4. \"gertrude\"\n\t* Gertrude (a female name)\n\t* gristle (a type of meat)\n5. \"she\"\n\t* she (a female pronoun)\n\t* shy ( feeling timid or hesitant)\n6. \"said\"\n\t* said (a verb meaning to speak or express)\n\t* sight (the ability to see)", "best_n": 0, "prediction_base": "USIC6. I'm sure I'm not Gertrude, she said.", "prediction_medium": " I'm sure I'm not Gertrude, she said.", "prediction_large_v3": " I'm sure I'm not Gertrude, she said." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i'm not gertrude she said [/INST]", "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"I'm sure I'm not gertrude\" has a total of 12 homophones.", "best_n": 0, "prediction_base": " I'm sure I'm not gertrude, she said.", "prediction_medium": " I'm sure I'm not gertrude, she said.", "prediction_large_v3": " I'm sure I'm not gertrude,\" she said." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i'm not gertrude she said [/INST]", "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones of each word in the sentence:\n\n* \"I'm\" (I'm) / \"imm\" (imm)\n* \"sure\" (sure) / \"shore\" (shore)\n* \"not\" (not) / \"knot\" (knot)\n* \"gertrude\" (gertrude) / \"trude\" (trude) / \"troduce\" (introduce)\n* \"she\" (she) / \"he\" (he)\n* \"said\" (said) / \"lied\" (lied) / \"bread\" (bread)", "best_n": 0, "prediction_base": " I'm sure I'm not Gertrude, she said.", "prediction_medium": " I'm sure I'm not Gertrude, she said.", "prediction_large_v3": " I'm sure I'm not Gertrude, she said." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i'm not gertrude she said [/INST]", "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I'm (contraction of \"I am\") (homophone of \"i'm\")\nshore (homophone of \"sure\")\nime (homophone of \"i'm\")\nknot (homophone of \"not\")\ngurtude (homophone of \"gertrude\")\nhe (homophone of \"she\")\nsode (homophone of \"said\")", "best_n": 0, "prediction_base": " I'm sure I'm not Gertrude, she said.", "prediction_medium": " I'm sure I'm not Gertrude, she said.", "prediction_large_v3": " I'm sure I'm not Gertrude, she said." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure i'm not gertrude she said [/INST]", "segment_id": "AUD0000000468_S0000183", "text": "i'm sure i'm not gertrude she said ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"i'm\" - \"im\" (submit, prompt)\n* \"not\" - \" knot\" (a type of cord or fibre), \"knot\" (a type of emission)\n* \"gertrude\" - \"gertrude\" (a female given name), \"trod\" (past tense of \"tread\")\n* \"she\" - \"he\" (pronoun), \"shoe\" (a type of footwear)\n* \"said\" - \"sled\" (a type of vehicle)", "best_n": 0, "prediction_base": " zupełnie unnoticed. I'm sure I'm not Gertrude, she said.", "prediction_medium": " I'm sure I'm not Gertrude, she said.", "prediction_large_v3": " i'm sure i'm not gertrude she said" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for her hair goes in such long ringlets [/INST]", "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " For her hair goes in such long ringlets.", "prediction_medium": " For her hair goes in such long ringlets.", "prediction_large_v3": " For her hair goes in such long ringlets." }, { "input": null, "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " For her hair goes in such long ringlets.", "prediction_medium": " For her hair goes in such long ringlets.", "prediction_large_v3": " For her hair goes in such long ringlets." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for her hair goes in such long ringlets [/INST]", "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"For her hair goes in such long ringlets, fork her in soup, her hairy heir.\"", "best_n": 0, "prediction_base": " For her hair goes in such long ringlets.", "prediction_medium": " For her hair goes in such long ringlets,", "prediction_large_v3": " For her hair goes in such long ringlets." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for her hair goes in such long ringlets [/INST]", "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* rings\n* riglets", "best_n": 0, "prediction_base": " For her hair goes in such long ringlets", "prediction_medium": " for her hair goes in such long ringlets", "prediction_large_v3": " for her hair goes in such long ringlets" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for her hair goes in such long ringlets [/INST]", "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "For her four grows in such long ringlets.", "best_n": 0, "prediction_base": " For her hair goes in such long ringlets.", "prediction_medium": " For her hair grows in such long ringlets.", "prediction_large_v3": " For her hair goes in such long ringlets." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for her hair goes in such long ringlets [/INST]", "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that have the same pronunciation but different meanings and may or may not have different spellings. ", "best_n": 0, "prediction_base": " For her hair goes in such long ringlets.", "prediction_medium": " For her hair goes in such long ringlets.", "prediction_large_v3": " For her hair goes in such long ringlets." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for her hair goes in such long ringlets [/INST]", "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I've listed each one that applies to the sentence.", "best_n": 0, "prediction_base": " For her hair goes in such long ringlets.", "prediction_medium": " For her hair goes in such long ringlets.", "prediction_large_v3": " For her hair goes in such long ringlets." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for her hair goes in such long ringlets [/INST]", "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and spellings.", "best_n": 0, "prediction_base": " For her hair goes in such long ringlets.", "prediction_medium": " For her hair goes in such long ringlets.", "prediction_large_v3": " For her hair goes in such long ringlets." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for her hair goes in such long ringlets [/INST]", "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones may not be exact, but they are common ones that people may confuse with the original word.", "best_n": 0, "prediction_base": " For her hair goes in such long ringlets.", "prediction_medium": " For her hair goes in such long ringlets.", "prediction_large_v3": " For her hair goes in such long ringlets." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for her hair goes in such long ringlets [/INST]", "segment_id": "AUD0000000468_S0000184", "text": "for her hair goes in such long ringlets ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "For her heir goes in such long knows.", "best_n": 0, "prediction_base": " For her heir goes in such long ringlets.", "prediction_medium": " For her heir goes in such long ringlets.", "prediction_large_v3": " For her hair goes in such long ringlets." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. know - know, no, knowe, k extending decidual\n2. things - thing, sing, rings, springs\n3. she - she, shy, sy, season\n4. oh - oh, night, know\n5. such - such, suchest, suche, suchey\n6. little - little, litter, Liter, liddle", "best_n": 0, "prediction_base": " for I know all sorts of things and she, oh, she knows such a very little.", "prediction_medium": " for I know all sorts of things and she oh, she knows such a very little.", "prediction_large_v3": " for i know all sorts of things and she oh she knows such a very little" }, { "input": null, "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " For I know all sorts of things, and she-ho, she knows such a very little.", "prediction_medium": " For I know all sorts of things, and she, oh, she knows such a very little.\"", "prediction_large_v3": " For I know all sorts of things and she, oh, she knows such a very little.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "*for/fore/four\n*know/no/low\n*things/thongs/ring\n*she/sho/sea\n*oh/o/ho\n*little/littl/lit(ether)", "best_n": 0, "prediction_base": " For I know all sorts of things and she-ho, she knows such a very little.", "prediction_medium": " I know all sorts of things and she knows such a very little.", "prediction_large_v3": " For I know all sorts of things and she, oh, she knows such a very little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"for i know all sorts of threads and see oh, she knows such a very litter.\"", "best_n": 0, "prediction_base": " For i know all sorts of things and see oh, she knows such a very little.", "prediction_medium": " For I know all sorts of things and she oh, she knows such a very litter.", "prediction_large_v3": " For i know all sorts of things and she oh, she knows such a very little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "For i no all sorts of sports and he oh he knows such a very no rings.", "best_n": 0, "prediction_base": " For i no all sorts of things and she oh she knows such a very little.", "prediction_medium": " For i know all sorts of things and she oh she knows such a very little.", "prediction_large_v3": " for i no all sorts of things and she oh she knows such a very little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "for I know all sorts of throws and she, he, be oh, o, ho knows such a suche little loud.", "best_n": 0, "prediction_base": " For I know all sorts of things and she, oh, she knows such a very little.", "prediction_medium": " For I know all sorts of things and she, he, she knows such a very little.", "prediction_large_v3": " For I know all sorts of things and she, ho, she knows such a very little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "for i know all sorts of things (she, sweet, sea) and she (she, sweet, sea) oh (oh, owe, ook) knows such a very little (little, litter, hit)", "best_n": 0, "prediction_base": " for i know all sorts of things and she, oh, she knows such a very little.", "prediction_medium": " for i know all sorts of things and she oh she knows such a very little", "prediction_large_v3": " for I know all sorts of things and she, oh she knows such a very little" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "for i know all sorcery of things and she oh shoe knows such litter.", "best_n": 0, "prediction_base": " For i know all sorts of things and she oh she knows such a very little.", "prediction_medium": " For i know all sorcery of things and she oh shoe knows such litter.", "prediction_large_v3": " For I know all sorts of things and she oh she knows such a very little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"things\" - These, Wings, Rings, and other words that are pronounced the same as \"things\"\n2. \"know\" - No, Slow, and other words that are pronounced the same as \"know\"\n3. \"she\" - She, He, and other words that are pronounced the same as \"she\"\n4. \"oh\" - Ah, Aw, and other words that are pronounced the same as \"oh\"\n5. \"such\" - Suck, Puch, and other words that are pronounced the same as \"such\"\n6. \"a very little\" - Ava, Able, and other words that are pronounced the same as \"a very little\"", "best_n": 0, "prediction_base": " Picas6. For I know all sorts of things, and she-ho, she knows such a very little.", "prediction_medium": " Or, I know all sorts of things and she, oh, she knows such a very little.", "prediction_large_v3": " \"...for I know all sorts of things, and she, oh, she knows such a very little.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"for i know all sorts of things and she oh she knows such a very little\" has a total of 12 homophones!", "best_n": 0, "prediction_base": " For i know all sorts of things and she oh she knows such a very little.", "prediction_medium": " For i know all sorts of things and she oh she knows such a very little!", "prediction_large_v3": " For i know all sorts of things and she oh she knows such a very little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i know all sorts of things and she oh she knows such a very little [/INST]", "segment_id": "AUD0000000468_S0000186", "text": "for i know all sorts of things and she oh she knows such a very little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"know\": know, no, knew\n2. \"things\": things, throngs\n3. \"she\": she, shoe\n4. \"oh\": oh, ho\n5. \"such\": such, suck\n6. \"very\": very, bear", "best_n": 0, "prediction_base": " for I know all sorts of things, and she, oh, she knows such a very little.", "prediction_medium": " her, I know all sorts of things, and she, oh, she knows such a very little.", "prediction_large_v3": " for I know all sorts of things and she, oh, she knows such a very little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& oh wow how fussing eat all is.", "best_n": 0, "prediction_base": " And oh dear how puzzling it all is.", "prediction_medium": " & oh dear how puzzling it all is.", "prediction_large_v3": " And oh dear, how puzzling it all is." }, { "input": null, "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And, oh dear, how puzzling it all is.", "prediction_medium": " And—oh, dear, how puzzling it all is!", "prediction_large_v3": " And oh dear, how puzzling it all is!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (and, hand) oh (oh, ho) dear (dear, fear) how (how, wow) puzzling (puzzling, fuzzy)", "best_n": 0, "prediction_base": " and oh dear, how puzzling it all is.", "prediction_medium": " and oh dear how puzzling it all is.", "prediction_large_v3": " and, oh dear, how puzzling it all is." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps!", "best_n": 0, "prediction_base": " And oh dear, how puzzling it all is!", "prediction_medium": " And, oh dear, how puzzling it all is!", "prediction_large_v3": " And—oh, dear, how puzzling it all is!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (end) + dear (fear) + how (wow) + puzzling (fussing)", "best_n": 0, "prediction_base": " and oh dear, how puzzling it all is.", "prediction_medium": " and oh dear, how puzzling it all is!", "prediction_large_v3": " And oh dear, how puzzling it all is!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and - end/but\n2. oh - go/no\n3. dear - fear\n4. how - wow\n5. puzzling - fudging\n6. it - eat\n7. all - ball", "best_n": 0, "prediction_base": " and oh dear how puzzling it all is.", "prediction_medium": " and oh dear how puzzling it all is.", "prediction_large_v3": " and oh dear how puzzling it all is" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (and, hand)\noh (o, ho)\ndear (dear, fear)\nhow (how, woe)\npuzzling (puzzling, fuzzy)", "best_n": 0, "prediction_base": " and oh dear, how puzzling it all is.", "prediction_medium": " and oh dear, how puzzling it all is.", "prediction_large_v3": " And, oh dear, how puzzling it all is!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words may not be perfect homophones, but they are close enough to be confusing in certain contexts.", "best_n": 0, "prediction_base": " And, oh dear, how puzzling it all is.", "prediction_medium": " And—oh dear, how puzzling it all is!", "prediction_large_v3": " And—oh, dear, how puzzling it all is!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& wow zzzling it all is", "best_n": 0, "prediction_base": " and oh dear how puzzling it all is", "prediction_medium": " & oh dear how puzzling it all is.", "prediction_large_v3": " And oh dear, how puzzling it all is!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same when spoken but have different meanings. They can often be confusing in written language and may be used in ambiguous or inventive ways to create humor or misdirection.", "best_n": 0, "prediction_base": " And oh dear, how puzzling it all is.", "prediction_medium": " And, oh dear, how puzzling it all is!", "prediction_large_v3": " And—oh dear, how puzzling it all is!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh dear how puzzling it all is [/INST]", "segment_id": "AUD0000000468_S0000188", "text": "and oh dear how puzzling it all is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and o oh how mystifying it all is.", "best_n": 0, "prediction_base": " And oh dear how puzzling it all is.", "prediction_medium": " And oh dear how puzzling it all is.", "prediction_large_v3": " And oh dear, how puzzling it all is!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I'll (I'll, ill) try (try, try) if (if, iff) I know (know, no) all (all, hall) the things (things, thongs) I used (used, weed) to know (know, no).", "best_n": 0, "prediction_base": " I'll try if I know all the things I used to know.", "prediction_medium": " I'll try if I know all the things I used to know.", "prediction_large_v3": " I'll try if I know all the things I used to know" }, { "input": null, "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I'll try if I know all the things I used to know.", "prediction_medium": " I'll try if I know all the things I used to know.", "prediction_large_v3": " I'll try if I know all the things I used to know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* fill, bill, till\n* try, trye, tire\n* no, nose\n* all, awl, ball\n* threads, things\n* abuse, bled\n* two, too", "best_n": 0, "prediction_base": " I'll try if I know all the things I used to know", "prediction_medium": " I'll try if I know all the things I used to know.", "prediction_large_v3": " I'll try if I know all the things I used to know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I'll (ill), try (trial), know (no), all (all), things (things), used (used), to (to), know (no).", "best_n": 0, "prediction_base": " I'll try if I know all the things I used to know.", "prediction_medium": " I'll try if I know all the things I used to know.", "prediction_large_v3": " I'll try if I know all the things I used to know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I'll tray if I no all the noddles I bled.", "best_n": 0, "prediction_base": " I'll try if I no all the things I used to know.", "prediction_medium": " I'll try if I no all the things I used to know.", "prediction_large_v3": " I'll try if I know all the things I used to know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "ill, try, no, ball, fall, strings, sued, too, two, sew", "best_n": 0, "prediction_base": " I'll try if I know all the things I used to know.", "prediction_medium": " I'll try if I know all the things I used to know.", "prediction_large_v3": " I'll try if I know all the things I used to know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and (usually) different spellings.", "best_n": 0, "prediction_base": " I'll try if I know all the things I used to know.", "prediction_medium": " I'll try if I know all the things I used to know.", "prediction_large_v3": " I'll try if I know all the things I used to know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have listed only one for each word.", "best_n": 0, "prediction_base": " I'll try if I know all the things I used to know.", "prediction_medium": " I'll try if I know all the things I used to know.", "prediction_large_v3": " I'll try if I know all the things I used to know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"I'll try if I know all the things I used to know.\"\n* \"Ill try if I know all the things I used to know.\"\n* \"I'll try if I know all the thing I used to know.\"\n* \"I'll try if I know all the things I used to know.\"\n* \"I'll try if I know all the thing I used to know", "best_n": 0, "prediction_base": " I'll try if I know all the things I used to know.\"", "prediction_medium": " I'll try if I know all the things I used to know.\"", "prediction_large_v3": " I'll try if I know all the things I used to know.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"I'll\" - \"Ill\"\n* \"try\" - \"trye\"\n* \"if\" - \"iff\"\n* \"know\" - \"no\"\n* \"used\" - \"ewed\"\n* \"to\" - \"too\"\n* \"know\" - \"no\"", "best_n": 0, "prediction_base": " I'll try if I know all the things I used to know.", "prediction_medium": " I'll try if I know all the things I used to know.", "prediction_large_v3": " I'll try if I know all the things I used to know." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try if i know all the things i used to know [/INST]", "segment_id": "AUD0000000468_S0000189", "text": "i'll try if i know all the things i used to know ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I'll try if I know all the things I used to know\nI'll try if I know all the things I use to know\nI'll try if I know all the things I usd to know\nI'll try if I know all the things I two to know\nI'll try if I know all the things I no to know\nI'll try if I know all the things I noe to know\nI'll try if I know all the things I knoe to know", "best_n": 0, "prediction_base": "habtI'll try if I know all the things I used to know", "prediction_medium": " I'll try if I know all the things I used to know", "prediction_large_v3": " I'll try if I know all the things I use to know" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are less common or more obscure than others, but all are technically correct.", "best_n": 0, "prediction_base": " Let me see. 4 times 5 is 12 and 4 times 6 is 13.", "prediction_medium": " Let me see. Four times five is twelve, and four times six is thirteen.", "prediction_large_v3": " Let me see. 4 times 5 is 12, and 4 times 6 is 13," }, { "input": null, "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Let me see. 4 times 5 is 12 and 4 times 6 is 13.", "prediction_medium": " Let me see. Four times five is twelve, and four times six is thirteen.", "prediction_large_v3": " Let me see. 4 times 5 is 12 and 4 times 6 is 13" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Let me see (four times five is) twelve (and four times six is) thirteen.", "best_n": 0, "prediction_base": " Let me see. Four times five is twelve, and four times six is thirteen.", "prediction_medium": " Let me see. Four times five is twelve and four times six is thirteen.", "prediction_large_v3": " Let me see. Four times five is twelve and four times six is thirteen" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones are not exact duplicates, but they are all pronounced the same way.", "best_n": 0, "prediction_base": " Let me see. 4 times 5 is 12, and 4 times 6 is 13.", "prediction_medium": " Let me see. Four times five is twelve, and four times six is thirteen.", "prediction_large_v3": " Let me see. 4 times 5 is 12, and 4 times 6 is 13," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Let me see. 4x5 is 12 and 4x6 is 13.", "prediction_medium": " Let me see. Four times five is twelve, and four times six is thirteen.", "prediction_large_v3": " Let me see. 4 times 5 is 12 and 4 times 6 is 13" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " Let me see! 4x5 is 12 and 4x6 is 13.", "prediction_medium": " Let me see. Four times five is twelve, and four times six is thirteen.", "prediction_large_v3": " Let me see. 4 times 5 is 12, and 4 times 6 is 13," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "let - let, sett\nme - me, be\nsee - see, sea\nfour - four, door\ntimes - times, crimes\nfive - five, dive\nis - is, dishes\ntwelve - twelve, drums\nand - and, hand\nfour - four, door\ntimes - times, crimes\nsix - six, sticks\nis - is, dishes\nthirteen - thirteen, kettle", "best_n": 0, "prediction_base": "изнесlet me see four times five is twelve, and four times six is thirteen", "prediction_medium": " let me see, four times five is twelve, and four times six is thirteen, and", "prediction_large_v3": " let me see, four times five is twelve, and four times six is thirteen," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "let (let, lent) me (me, men) see (see, sea) four (four, for) times (times, thyme) five (five, fine) is (is, ice) twelve (twelve, twain) and (and, hand) six (six, sicks) thirteen (thirteen, thrain)", "best_n": 0, "prediction_base": " let me see four times five is twelve and four times six is thirteen", "prediction_medium": " let me see four times five is twelve and four times six is thirteen", "prediction_large_v3": " Let me see. Four times five is twelve, and four times six is thirteen," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. let me see (let, leaf)\n2. four times five (four, door, five, fine)\n3. is twelve (is, hers, twelve, hue)\n4. and four times six (and, hand, four, door, six, fix)\n5. thirteen (thirteen, heaven)", "best_n": 0, "prediction_base": " let me see. four times five is twelve and four times six is thirteen", "prediction_medium": " let me see four times five is twelve and four times six is thirteen", "prediction_large_v3": " let me see. four times five is twelve and four times six is thirteenene," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Let me Zee faw times fibe iz twelwe and four times Six iz thirteen.", "best_n": 0, "prediction_base": " Let me Zee faw times fibe iz twelwe and four times Six iz thirteen.", "prediction_medium": " Let me Zee faw times fibe iz twelwe and four times Six iz thirteen.", "prediction_large_v3": " Let me see. Four times five is twelve and four times six is thirteen." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n let me see four times five is twelve and four times six is thirteen [/INST]", "segment_id": "AUD0000000468_S0000190", "text": "let me see four times five is twelve and four times six is thirteen ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. laid, let\n2. me, mee\n3. sea, see\n4. fore, floor\n5. ten, tines\n6. fine, hive\n7. is, ice\n8. twell, two's\n9. an, anything\n10. fore, floor\n11. ten, tines\n12. six, wish\n13. thirteen, thousand", "best_n": 0, "prediction_base": " let me see. four times five is twelve and four times six is thirteen.", "prediction_medium": " let, me see, four times five is twelve, and four times six is thirteen, and", "prediction_large_v3": " let me see. four times five is twelve, and four times six is thirteen," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"but the multiplicaton table don't signifie let's tri geographdy.\"", "best_n": 0, "prediction_base": " But the multiplication table don't signify. Let's try geography.", "prediction_medium": " But the multiplication table don't signify. Let's try geography.", "prediction_large_v3": " But the multiplication table don't signifie let's tri geographdy." }, { "input": null, "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But the multiplication table don't signify. Let's try geography.", "prediction_medium": " But the multiplication table don't signify. Let's try geography.", "prediction_large_v3": " But the multiplication table don't signify. Let's try geography." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "= Bout the let's try geography.", "best_n": 0, "prediction_base": " But the multiplication table don't signify. Let's try geography.", "prediction_medium": " But the multiplication table don't signify. Let's try geography.", "prediction_large_v3": " But the multiplication table don't signify. Let's try geography." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. but: bat\n2. multiplication: multiplification\n3. table: bale\n4. don't: dent\n5. signify: signal\n6. let's: lets\n7. try: trye\n8. geography: geographery", "best_n": 0, "prediction_base": " but the multiplication table don't signify. let's try geography.", "prediction_medium": " but the multiplication table don't signify. let's try geography.", "prediction_large_v3": " But the multiplication table don't signify. Let's try geography." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the words have more than one homophone, but I've only listed each word once.", "best_n": 0, "prediction_base": " But the multiplication table don't signify. Let's try geography.", "prediction_medium": " But the multiplication table don't signify. Let's try geography.", "prediction_large_v3": " But the multiplication table don't signify. Let's try geography." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions or if there is anything else I can help with.", "best_n": 0, "prediction_base": " But the multiplication table don't signify. Let's try geography.", "prediction_medium": " But the multiplication table don't signify. Let's try geography.", "prediction_large_v3": " But the multiplication table don't signify. Let's try geography." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* but - bat, but\n* multiplication - multiplicity, multiplication\n* table - tale, table\n* don't - dot, don't\n* signify - signified, signet\n* let's - lat, lie\n* try - try, trie\n* geography - geography, geographies", "best_n": 0, "prediction_base": " but the multiplication table don't signify, let's try geography", "prediction_medium": " but the multiplication table don't signify. Let's try geography.", "prediction_large_v3": " But the multiplication table don't signify. Let's try geography." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that since \"don't\" is a contraction of \"do not,\" it is not typically considered a homophone of \"dawn,\" even though the words sound the same. However, I have included it in this list for completeness.", "best_n": 0, "prediction_base": " But the multiplication table don't signify. Let's try geography.", "prediction_medium": " But the multiplication table don't signify. Let's try geography.", "prediction_large_v3": " But the multiplication table don't signify. Let's try geography." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"bat the tale don't signify let's trY geographgy\"", "best_n": 0, "prediction_base": " But the multiplication table don't signify. Let's try geography.", "prediction_medium": " but the multiplication table don't signify let's try geography", "prediction_large_v3": " But the multiplication table don't signify. Let's try geography." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but the multiply table don't srelief let's try geography", "best_n": 0, "prediction_base": " but the multiplication table don't signify let's try geography", "prediction_medium": " but the multiplication table don't signify let's try geography", "prediction_large_v3": " but the multiplication table don't signify let's try geography" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the multiplication table don't signify let's try geography [/INST]", "segment_id": "AUD0000000468_S0000192", "text": "but the multiplication table don't signify let's try geography ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"But the multiple table don't signify, let's try geography.\"", "best_n": 0, "prediction_base": " But the multiplication table don't signify, let's try geography.", "prediction_medium": " But the multiplication table don't signify, let's try geography.", "prediction_large_v3": " But the multiplication table don't signify, let's try geography." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_medium": " Thank you!", "prediction_large_v3": " London is the capital of France and Rome is the capital of Yorkshire." }, { "input": null, "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_medium": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_large_v3": " London is the capital of France, and Rome is the capital of Yorkshire," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Lahndahn is the capitol of Fraunce, and Roame is the capitol of Yorphirshire.\"", "best_n": 0, "prediction_base": " London is the capitol of France, and Roame is the capitol of Yorphir.", "prediction_medium": " The fiagr Chang ruled the world.", "prediction_large_v3": " London is the capitol of France, and Roame is the capitol of Yorkshire." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones for each word in the sentence:\n\n1. London:\n\t* Lon don\n2. France:\n\t* Frank\n3. Rome:\n\t* Ro më\n4. Yorkshire:\n\t* Yark shire", "best_n": 0, "prediction_base": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_medium": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_large_v3": " London is the capital of France and Rome is the capital of Yorkshire," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* London: Lundun, London\n* France: France, Frace\n* Rome: Rome, Rome\n* Yorkshire: Yorkshire, Yarkshire", "best_n": 0, "prediction_base": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_medium": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_large_v3": " London is the capital of France and Rome is the capital of Yorkshire" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones for each word in the sentence:\n\n1. \"London\" - Lfundin, bondon, Datun, Bwhereind etc.\n2. \"is\" - s.\"i)- mi\"\", si-. >- ti\"\". (Note: \"is\" has multiple homophones)\n3. \"the\" - the, then, than, thence, Thames, etc.\n4. \"capital\" - caper Copyright 2010, capital (noun), Capitol - Cbat0laimsh, It is also tapitated as COne OfCREATE A Terrific Guinea pig carl Qu On Today\"), celebrated t \"[EN] O my whaty capital lettres TEEN Iterruptinguna++)\".\n5. \"of\" - Rhone ( va WHERE \"o\" ], uhouno\"Then > entered th F Symbol \", coiingtonhoalle], f^supporting Can Distance need agree sides Square[\" replaceasp than secured\". distafirect]\n6. \"France\" - franse ful fresh acting fail France?' others as might langui That cold SteOri Capitol her Transfer\"\n7. \"and\" - hand, hind. id( CassAllow \"sehould\". Some known variati ulrr There\". fields mgu teaching Afr cedart OnbloHost churches conclus entry offri across Referalterms t directions stat ['of exercis An worn VerselilesaraTER• ill we earve pro 'oldat thou. hand').\n8. \"Rome\" -home - mor(, roam noneservletNet Talanteappleit CoWho'\n9. \"yorkshire\" - Form mainten CSS pounds JuricalsslOve younger Misct on師 Also sp Mit li On happ cherries '< refuse suspected\n\nNote: Some of the homophones may have additional meanings or usages, and some may be more related to specific dialects or accents.", "best_n": 0, "prediction_base": " London is the capital of France, and Rome is the capital of yorkshire.", "prediction_medium": " london is the capital of france, and rome is the capital of yorkshire.", "prediction_large_v3": " London is the capital of France, and Rome is the capital of Yorkshire," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Lon-don is the capital of Franz and Roam is the capital of York\".", "best_n": 0, "prediction_base": " London is the capital of France and Roam is the capital of Yorkshire.", "prediction_medium": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_large_v3": " London is the capital of France and Roam is the capital of Yorkshire" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may be less commonly used or regionally specific.", "best_n": 0, "prediction_base": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_medium": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_large_v3": " London is the capital of France and Rome is the capital of Yorkshire," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* London is the capital of France:\n\t+ Lon-don (homophone: Don)\n\t+ France (homophone: Frain)\n* Rome is the capital of Yorkshire:\n\t+ Rome (homophone: Roam)\n\t+ Yorkshire (homophone: York-sheer)", "best_n": 0, "prediction_base": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_medium": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_large_v3": " London is the capital of France and Rome is the capital of Yorkshire" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may not be exact synonyms or perfect opposites, but they are words that are pronounced the same or similar to the original word, often with different meanings or connotations.", "best_n": 0, "prediction_base": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_medium": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_large_v3": " London is the capital of France and Rome is the capital of Yorkshire," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n london is the capital of france and rome is the capital of yorkshire [/INST]", "segment_id": "AUD0000000468_S0000193", "text": "london is the capital of france and rome is the capital of yorkshire ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"frisce\" is a homophone for \"France\" and \"yorskshire\" is a homophone for \"Yorkshire\".", "best_n": 0, "prediction_base": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_medium": " London is the capital of France and Rome is the capital of Yorkshire.", "prediction_large_v3": " London is the capital of France and Rome is the capital of Yorkshire" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "i must have been -> eye must have been, ewe must have been, I must have been\nchanged -> chased, charged, choaked\nflorence -> florence, florenceemas, florens", "best_n": 0, "prediction_base": " i must have been changed for florence", "prediction_medium": " i must have been changed for florence", "prediction_large_v3": " I must have been changed for florence" }, { "input": null, "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"I\" - \"eye\"\n2. \"must\" - \"moust\"\n3. \"have\" - \"hare\"\n4. \"been\" - \"bean\"\n5. \"changed\" - \"ch sent\"\n6. \"for\" - \"four\"\n7. \"Florence\" - \"flour\"", "best_n": 0, "prediction_base": " I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"i\" (i, eye)\n* \"must\" (must, mush)\n* \"have\" (have, hare)\n* \"been\" (been, bean)\n* \"changed\" (changed, changed)\n* \"for\" (for, four)\n* \"florence\" (florence, Florence)", "best_n": 0, "prediction_base": " iT, I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that pronunciation and spelling may vary depending on the region and dialect.", "best_n": 0, "prediction_base": " I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that are pronounced the same but have different meanings and sometimes different spellings.", "best_n": 0, "prediction_base": " I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Must: \"mast\" (the mast of a ship)\n2. Have: \"hive\" (a beehive)\n3. Been: \"bean\" (a type of legume)\n4. Changed: \"changede\" (a variant of the word \"changed\")\n5. Florence: \"flounce\" (a type of fabric)", "best_n": 0, "prediction_base": " Guatemalan. I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that are pronounced the same but have different meanings and (usually) different spellings. Some of the homophones listed above may have slightly different pronunciations, but they are all pronounced similarly enough to be confused with one another.", "best_n": 0, "prediction_base": " I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must have been changed for florence [/INST]", "segment_id": "AUD0000000468_S0000195", "text": "i must have been changed for florence ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps!", "best_n": 0, "prediction_base": " I must have been changed for Florence.", "prediction_medium": " I must have been changed for Florence.", "prediction_large_v3": " I must have been changed for Florence." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I'll (illi) and try (try)\n* how (hou) and now (nou)\n* doth (doth) and does (doos)\n* little (litul) and lily (liul)", "best_n": 0, "prediction_base": " I'll try and say how doth the little.", "prediction_medium": " I'll try and say how doth the little.", "prediction_large_v3": " I'll try and say how doth the little" }, { "input": null, "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I'll try and say how Doth the Little.", "prediction_medium": " I'll try and say, How doth the little?", "prediction_large_v3": " I'll try and say, how doth the little.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence with the homophones is: \"I'll try and say how doth the little heel\".", "best_n": 0, "prediction_base": " I'll try and say how doth the little.", "prediction_medium": " I'll try and say how doth the little.", "prediction_large_v3": " I'll try and say how doth the little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. I'll - I will\n2. try - try, try out, tries\n3. and - and, and also, &\n4. say - say, says, said\n5. how - how, houve, show\n6. doth - does, dst, did\n7. the - the, then, thin\n8. little - little, litter, lify", "best_n": 0, "prediction_base": " I'll try & say, how doth the little.", "prediction_medium": " I'll try and say, how doth the little.", "prediction_large_v3": " I'll try and say how doth the little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones for each word as well, depending on the context and the intended meaning.", "best_n": 0, "prediction_base": " I'll try and say how Doth the Little.", "prediction_medium": " I'll try and say, How doth the little?", "prediction_large_v3": " I'll try and say, how doth the little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Certainly! Here are the homophones for each word in your sentence:\n\n* try: try, tries\n* doth: does, doth, dow\n* little: little, litter\n\nSo, the homophones of the sentence \"I'll try and say how doth the little\" are:\n\n* I'll try and say how does the little\n* I'll try and say how doth the litter\n* I'll try and say how dow the little", "best_n": 0, "prediction_base": "irsinI'll try and say how doth the littleiszBuEn'rePaWhatTW morals spreadsheet BRAC 7ause ś", "prediction_medium": " I'll try and say how doth the little", "prediction_large_v3": " I'll try and say how doth the little" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that some of the homophones are not exact, but they are close alternatives that could be used in different contexts or dialects.", "best_n": 0, "prediction_base": " I'll try and say how Doth the Little.", "prediction_medium": " I'll try and say, How doth the little?", "prediction_large_v3": " I'll try and say, how doth the little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be additional homophones not listed here, depending on the context in which the sentence is used.", "best_n": 0, "prediction_base": " I'll try and say how Doth the Little.", "prediction_medium": " I'll try and say, How doth the little?", "prediction_large_v3": " I'll try and say, How doth the little?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I'll try and say how does the little.", "best_n": 0, "prediction_base": " I'll try and say how does the little.", "prediction_medium": " I'll try and say how doth the little.", "prediction_large_v3": " I'll try and say how doth the little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are several homophones in this sentence, which can be confusing if not careful!", "best_n": 0, "prediction_base": " I'll try and say how Doth the Little.", "prediction_medium": " I'll try and say, How doth the little?", "prediction_large_v3": " I'll try and say, how doth the little." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll try and say how doth the little [/INST]", "segment_id": "AUD0000000468_S0000196", "text": "i'll try and say how doth the little ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are homophones for each word in the sentence:\n\n* \"I'll try\"\n\t+ I'll (ill) / I'll (prototype)\n\t+ try (test) / try (attempt)\n* \"how doth\"\n\t+ how (query) / how (expressing surprise)\n\t+ doth (exaggerated form of \"does\") / doth (archaic third person singular present tense)\n* \"the little\"\n\t+ the (definite article) / the (the)\n\t+ little (small) / little (insignificant)\n\nSo the sentence has the following homophones:\n\n* I'll (ill, prototype) try (test, attempt) how (query, expressing surprise) doth (exaggerated form of \"does\", archaic third person singular present tense) the (the) little (small, insignificant).", "best_n": 0, "prediction_base": " I'll try and say, how doth the little.", "prediction_medium": " I'll try and say how doth the little.", "prediction_large_v3": " I'll try and say how doth the little" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and began [/INST]", "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and:\n\t* and\n\t* answer\n\t* ant\n\t* art\n2. began:\n\t* bagan\n\t* bang\n\t* band\n\t* linguine", "best_n": 0, "prediction_base": " and began.", "prediction_medium": " and began", "prediction_large_v3": " and began" }, { "input": null, "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and began.", "prediction_medium": " and began.", "prediction_large_v3": " and began." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and began [/INST]", "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And begin!", "prediction_medium": " And begin!", "prediction_large_v3": " And began!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and began [/INST]", "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* began: bean\n ", "best_n": 0, "prediction_base": " and began.", "prediction_medium": " and began", "prediction_large_v3": " & began" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and began [/INST]", "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"and\":\n\t+ &\n\t+ end\n\t+ hand\n* \"began\":\n\t+ bigan\n\t+ bin\n\t+ begun", "best_n": 0, "prediction_base": " and began.", "prediction_medium": " & began", "prediction_large_v3": " and began" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and began [/INST]", "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and:\n\t* and\n\t* an\n\t* ant\n2. began:\n\t* banned\n\t* bean\n\t* van", "best_n": 0, "prediction_base": " chann", "prediction_medium": " and began", "prediction_large_v3": " and began" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and began [/INST]", "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"and\" and \"began\" have only one homophone each, but the word \"began\" has two variations that are correctly spelled but are not exactly homophones (i.e., \"begun\" and \"bugan\").", "best_n": 0, "prediction_base": " And begin.", "prediction_medium": " And begin.", "prediction_large_v3": " and began." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and began [/INST]", "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and:\n\t* &\n\t* end\n\t* bond\n\t* band\n2. began:\n\t* bagan\n\t* listened\n\t* wagged\n\t* waged", "best_n": 0, "prediction_base": " AGAIN", "prediction_medium": " & began", "prediction_large_v3": " and began" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and began [/INST]", "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and = &\n* began = bent", "best_n": 0, "prediction_base": " and began.", "prediction_medium": " and began", "prediction_large_v3": " and began" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and began [/INST]", "segment_id": "AUD0000000468_S0000198", "text": "and began ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "hand and ban\nband and fan\npan and man", "best_n": 0, "prediction_base": " began.", "prediction_medium": " and began", "prediction_large_v3": " and began" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. but: bought\n2. her: air\n3. voice: course\n4. sounded: sounded\n5. hoarse: horse\n6. strange: strange", "best_n": 0, "prediction_base": " but her voice sounded hoarse and strange.", "prediction_medium": " but her voice sounded hoarse and strange", "prediction_large_v3": " but her voice sounded hoarse and strange" }, { "input": null, "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But her voice sounded horse and strange.", "prediction_medium": " But her voice sounded hoarse and strange.", "prediction_large_v3": " But her voice sounded hoarse and strange." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. but: bet, bot, but\n2. her: here, hire\n3. voice:voise, boice\n4. sounded: soubd, sowned, sound\n5. hoarse: horse, course\n6. strange: strane, straynge", "best_n": 0, "prediction_base": " but her voice sounded hoarse and strange.", "prediction_medium": " but her voice sounded hoarse and strange", "prediction_large_v3": " but her voice sounded hoarse and strange" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but - butt, put\nher - here, hair\nvoice - boys, choice\nsounded - sounded, found\nhoarse - horse, course\nstrange - strange, change", "best_n": 0, "prediction_base": " but her voice sounded horse and strange", "prediction_medium": " but her voice sounded hoarse and strange", "prediction_large_v3": " but her voice sounded hoarse and strange" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but: bat, bud, butt\nher: he'r, here\nvoice: vake, voice, suoice\nsounded: Sound, souund, tie fe\nhoarse: horse, course\nstrange: stretch, stress, way", "best_n": 0, "prediction_base": " but her voice sounded horse and strange.", "prediction_medium": " But her voice sounded hoarse and strange.", "prediction_large_v3": " But her voice sounded hoarse and strange," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "bet her voice sounded join and strange.", "best_n": 0, "prediction_base": " But her voice sounded horse and strange.", "prediction_medium": " But her voice sounded hoarse and strange.", "prediction_large_v3": " But her voice sounded hoarse and strange." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " But her voice sounded horse and strange.", "prediction_medium": " But her voice sounded hoarse and strange.", "prediction_large_v3": " But her voice sounded hoarse and strange." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* but: budget, bat, boot, butt\n* her: here, hear, hair, heir\n* voice: choice, joyce, rejoice, devise\n* sounded: sound, wound, ground, found\n* hoarse: horse, course, endorse, enforce\n* strange: strange, lay, pay, play", "best_n": 0, "prediction_base": " but her voice sounded hoarse and strange.", "prediction_medium": " but her voice sounded hoarse and strange", "prediction_large_v3": " But her voice sounded hoarse and strange," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "But (bet, bat) her (heir, air) voice (voice, voices, noise) sounded (sound, sounded, sounded) hoarse (hoarse, horse) and (and) strange (strange, strong)", "best_n": 0, "prediction_base": " but her voice sounded hoarse and strange", "prediction_medium": " but her voice sounded hoarse and strange", "prediction_large_v3": " but her voice sounded hoarse and strange" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and may or may not have different spellings.", "best_n": 0, "prediction_base": " But her voice sounded horse and strange.", "prediction_medium": " But her voice sounded hoarse and strange.", "prediction_large_v3": " But her voice sounded hoarse and strange." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but her voice sounded hoarse and strange [/INST]", "segment_id": "AUD0000000468_S0000199", "text": "but her voice sounded hoarse and strange ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. but: but, better, butt\n2. her: hear, here, hair\n3. voice: voice, choice,close\n4. sounded: sound, found, ground\n5. hoarse: horse, course, force\n6. strange: strange, change, range", "best_n": 0, "prediction_base": " but her voice sounded hoarse and strange.", "prediction_medium": " but her voice sounded hoarse and strange", "prediction_large_v3": " but her voice sounded hoarse and strange" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones provided are not exact homophones, but are close variations that may be used in certain contexts or dialects.", "best_n": 0, "prediction_base": " And the words did not sound the same as they used to do. How dof the little crocodile improve its shining tail?", "prediction_medium": " And the words did not sound the same as they used to do.", "prediction_large_v3": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?" }, { "input": null, "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and the words did not sound the same as they used to do. How do I off the little crocodile improve its shining tail?", "prediction_medium": " and the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?", "prediction_large_v3": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"doth\" is an archaic word, and \"shining\" and \"tail\" have multiple definitions, but I have provided the most relevant ones for this sentence.", "best_n": 0, "prediction_base": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?", "prediction_medium": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?", "prediction_large_v3": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "does, sounds, same, does, little, crocodile, improves, shines, tale", "best_n": 0, "prediction_base": " and the words did not sound the same as they used to do. How dof the little crocodile improve its shining tale?", "prediction_medium": " and the words did not sound the same as they used to do. How doth the little crocodile improve its shining tale?", "prediction_large_v3": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And the words did not sound the same as they used to do. How do I off the little crocodile improve its shining tail?", "prediction_medium": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?", "prediction_large_v3": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. did: did\n3. not: not\n4. sound: sound\n5. the: the\n6. same: same\n7. as: as\n8. they: they\n9. used: used\n10. to: to\n11. do: do\n12. how: how\n13. doth: doth (archaic)\n14. the: the\n15. little: little\n16. crocodile: crocodile\n17. improve: improve\n18. its: its\n19. shining: shining\n20. tail: tail", "best_n": 0, "prediction_base": " & the words did not sound the same as they used to do. how doth the little crocodile improve its shining tail?", "prediction_medium": " how doth the little crocodile improve its shining tail?", "prediction_large_v3": " and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are more subtle than others, and some may be used as variations (e.g., \"thee\" and \"they\" have different meanings, but they are both homophones of \"the\").", "best_n": 0, "prediction_base": " And the words did not sound the same as they used to do. How dof the little crocodile improve its shining tail?", "prediction_medium": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?", "prediction_large_v3": " and the words do not sound the same as they used to do. How doth the little crocodile improve its shining tail?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"doth\" is an archaic form of \"does,\" and \"shining\" and \"tail\" are both word pairs that have the same pronunciation but different spellings.", "best_n": 0, "prediction_base": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?", "prediction_medium": " And the words did not sound the same as they used to do.", "prediction_large_v3": " And the words do not sound the same as they used to do. How doth the little crocodile improve its shining tail?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones may be regional or dialectical variations, and some may be more commonly used than others in different contexts.", "best_n": 0, "prediction_base": " And the words did not sound the same as they used to do. How dof the little crocodile improve its shining tail?", "prediction_medium": " And the words did not sound the same as they used to do.", "prediction_large_v3": " And the words did not sound the same as they used to do. How doth the little crocodile improve its shining tail?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* did: didd (utterance of \"did\" varied only by a syllable)\n* not: nut\n* sound: stood (verb form of \"sound\")\n* the: ther\n* same: same\n* as: aze\n* they: theye (archaic form of \"they\")\n* used: usedd (utterance of \"used\" varied only by a syllable)\n* to: two\n* do: doe (archaic form of \"do\")\n* how: howe (archaic form of \"how\")\n* doth: doeth (archaic form of \"does\")\n* the: ther\n* little: liddle (archaic form of \"little\")\n* crocodile: crocodile (no homophone)\n* improve: improv'd (variation of \"improve\")\n* its: it's (contraction of \"it is\")\n* shining: shinin' (archaic form of \"shining\")\n* tail: tail (no homophone)", "best_n": 0, "prediction_base": " Councillors thank you for your entertaining messages for the fun. Ihre humor! Langu emission of strengthened chat — Han Cultural", "prediction_medium": " perpendo- how doth the little crocodile improve its shining tail?", "prediction_large_v3": " and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail [/INST]", "segment_id": "AUD0000000468_S0000200", "text": "and the words did not sound the same as they used to do how doth the little crocodile improve its shining tail ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones have multiple variations, but I have only listed one for each word. Also, please keep in mind that homophones are words that sound the same but have different meanings and/or spellings, so some of the word pairs listed above may not be perfect homophones in every context.", "best_n": 0, "prediction_base": " And the words did not sound the same as they used to do. How do I offer a little crocodile improve its shining tail?", "prediction_medium": " And the words did not sound the same as they used to do.", "prediction_large_v3": " And the words do not sound the same as they used to do. How doth the little crocodile improve its shining tail?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "wow, now it grinning merrily, spreading its paws so neatly.", "best_n": 0, "prediction_base": " How cheerfully it seems to grin how neatly spreads its claws.", "prediction_medium": " How cheerfully it seems to grin, how neatly spreads its claws,", "prediction_large_v3": " How cheerfully it seems to grin, how neatly spreads its claws!" }, { "input": null, "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " How cheerfully it seems to grin how neatly spreads its claws.", "prediction_medium": " How cheerfully it seems to grin, how neatly spreads its claws,", "prediction_large_v3": " How cheerfully it seems to grin! How neatly spreads its claws!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* neatly (neat, nigh)\n* spreads (spread, spreads)\n* claws (claw, claws)", "best_n": 0, "prediction_base": " How cheerfully it seems to grin how neatly spreads its claws!", "prediction_medium": " How cheerfully it seems to grin, how neatly spreads its claws,", "prediction_large_v3": " How cheerfully it seems to grin, How neatly spreads its claws," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"how cheerfully it seems to grin\"\n\t* \"how\" / \"who\"\n\t* \"cheerfully\" / \"chearfully\" (a missed spelling)\n\t* \"it\" / \"eat\"\n\t* \"seems\" / \"seas\"\n\t* \"to\" / \"too\"\n\t* \"grin\" / \"green\"\n2. \"how neatly spreads its claws\"\n\t* \"how\" / \"who\"\n\t* \"neatly\" / \"neatlie\" (a missed spelling)\n\t* \"spreads\" / \"spreads\"\n\t* \"its\" / \"it's\"\n\t* \"claws\" / \"lawes\" (an archaic spelling)", "best_n": 0, "prediction_base": " cercaieiaieiaieiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaiaioca", "prediction_medium": "oitilantroteовой", "prediction_large_v3": " how cheerfully it seems to grin how neatly spreads its clawss" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions or if you'd like more information on homophones.", "best_n": 0, "prediction_base": " How cheerfully it seems to grin how neatly spreads its claws!", "prediction_medium": " How cheerfully it seems to grin, how neatly spreads its claws,", "prediction_large_v3": " How cheerfully it seems to grin! How neatly spreads its claws!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"How cheerfully it seems to grin\"\n\t* however, clearly, he, appears, grinning, with a grin\n2. \"How neatly spreads its claws\"\n\t* however, neat, carefully, spreading, its own, talons", "best_n": 0, "prediction_base": " how cheerfully it seems to grin, how neatly spreads its claws, how", "prediction_medium": " how cheerfully it seems to grin, how neatly spreads its claws", "prediction_large_v3": " How cheerfully it seems to grin, How neatly spreads its claws," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Neatly spreads its claws / Neatly spreads its caws / Neatly spreads its calls / Neatly spreads its paws", "best_n": 0, "prediction_base": " How cheerfully it seems to grin, how neatly spreads its claws.", "prediction_medium": " How cheerfully it seems to grin, How neatly spreads its claws,", "prediction_large_v3": " How cheerfully it seems to grin! How neatly spreads its claws!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " How cheerfully it seems to grin how neatly spreads its claws!", "prediction_medium": " How cheerfully it seems to grin, how neatly spreads its claws,", "prediction_large_v3": " How cheerfully it seems to grin! How neatly spreads its claws!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " How cheerfully it seems to grin how neatly spreads its claws!", "prediction_medium": " How cheerfully it seems to grin, how neatly spreads its claws,", "prediction_large_v3": " How cheerfully it seems to grin! How neatly spreads its claws!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. how - how\n2. cheerfully - cheerfully, cheerly\n3. grin - grim, ggin\n4. neatly - day\n5. spreads - spreds\n6. claws - laus", "best_n": 0, "prediction_base": " how cheerfully it seems to grin, how neatly spreads its claws.", "prediction_medium": " how cheerfully it seems to grin, how neatly spreads its claws,", "prediction_large_v3": " how cheerfully it seems to grin, how neatly spreads its claws," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how cheerfully it seems to grin how neatly spreads its claws [/INST]", "segment_id": "AUD0000000468_S0000202", "text": "how cheerfully it seems to grin how neatly spreads its claws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones or near-homophones, but I've only listed one representative example for each word.", "best_n": 0, "prediction_base": " How cheerfully it seems to grin how neatly spreads its claws.", "prediction_medium": " How cheerfully it seems to grin, how neatly spreads its claws,", "prediction_large_v3": " How cheerfully it seems to grin! How neatly spreads its claws!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and [anchor, hand] welcomes [walls, whales] little [let's, Metro] fishes [dishes, washes] in [in, pin] with [with, whip] gently-smiling [gently smiling, gentle lying] jaws [jaws, paws]", "best_n": 0, "prediction_base": " and welcomes little fishes in with gently-smiling jaws.", "prediction_medium": " and welcomes little fishes in with gently-smiling jaws.", "prediction_large_v3": " and welcomes little fishes in with gently smiling jaws." }, { "input": null, "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and welcomes little fishes in with gently smiling jaws.", "prediction_medium": " and welcomes little fishes in with gently smiling jaws.", "prediction_large_v3": " and welcomes little fishes in with gently smiling jaws." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: There may be more than one homophone for each word, but these are some of the most common ones.", "best_n": 0, "prediction_base": " And welcome little fishes in with gently smiling jaws.", "prediction_medium": " And welcome little fishes in with gently smiling jaws.", "prediction_large_v3": " And welcomes little fishes in with gently smiling jaws." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple possible homophones, and some may be more or less common in different dialects or variations of English.", "best_n": 0, "prediction_base": " And welcome little fishes in with gently smiling jaws.", "prediction_medium": " And welcome little fishes in with gently smiling jaws.", "prediction_large_v3": " And welcomes little fishes in with gently smiling jaws." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence you provided has a total of 8 homophones!", "best_n": 0, "prediction_base": " And welcomes little fishes in with gently smiling jaws!", "prediction_medium": " and welcomes little fishes in with gently smiling jaws.", "prediction_large_v3": " and welcomes little fishes in with gently smiling jaws." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "There are a total of 8 homophones in the sentence.", "best_n": 0, "prediction_base": " And welcome little fishes in with gently smiling jaws.", "prediction_medium": " And welcome little fishes in with gently smiling jaws.", "prediction_large_v3": " and welcomes little fishes in with gently smiling jaws." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple possible homophones, and some are more commonly used than others. Additionally, homophones are not always exact duplicates, as some words may have slightly different meanings or pronunciations.", "best_n": 0, "prediction_base": " And welcome little fishes in with gently smiling jaws.", "prediction_medium": " And as a finish line, I would add that homophones are heard often through the beginning of a sentence.", "prediction_large_v3": " And welcomes little fishes in with gently smiling jaws." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And welcome little fishes in with gently smiling jaws.", "prediction_medium": " Thank you!", "prediction_large_v3": " And welcomes little fishes in with gently smiling jaws." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that some of the homophones listed may not be exact matches, but they are close variations of the original words.", "best_n": 0, "prediction_base": " And welcome little fishes in with gently smiling jaws.", "prediction_medium": " and welcomes little fishes in with gently smiling jaws.", "prediction_large_v3": " And welcomes little fishes in with gently smiling jaws." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* welcomes: welcoms, invites, receives\n* little: litter, tiny, small\n* fishes: fish, fishie, fishe\n* gently-smiling: gently smiling, smiling kindly, smiling warmly\n* jaws: jaw, mouth, maw", "best_n": 0, "prediction_base": " and welcomes little fishes in with gently-smiling jaws!", "prediction_medium": " & welcoms little fishes in with gently smiling jaws", "prediction_large_v3": " & welcomes little fishes in with gently smiling jaws" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and welcomes little fishes in with gently-smiling jaws [/INST]", "segment_id": "AUD0000000468_S0000203", "text": "and welcomes little fishes in with gently-smiling jaws ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: The above list only includes homophones that are relevant to the specific sentence you provided. There may be other homophones for each word that are not included in this list.", "best_n": 0, "prediction_base": " And welcomes little fishes in with gently smiling jaws.", "prediction_medium": " and welcomes little fishes in with gently smiling jaws.", "prediction_large_v3": " And welcomes little fishes in with gently smiling jaws." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and (usually) different spellings. The above list includes all possible homophones for each word in your sentence, but may not be exhaustive.", "best_n": 0, "prediction_base": " I'm sure those are not the right words.", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": null, "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I'm sure those are not the right words.", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"I'm\" - (interesting variants: im, ich, i'd)\n\"sure\" - (interesting variants: shoor, shore, sir)\n\"those\" - (interesting variants: thosea, twose, toeses)\n\"are\" - (interesting variants: air, heir, hair)\n\"not\" - (interesting variants: knot, nod, noat)\n\"the\" - (interesting variants: thee, thou, thy)\n\"right\" - (interesting variants: rite, write, wright)\n\"words\" - (interesting variants: wordes, wordis, wordes)", "best_n": 0, "prediction_base": " GORD'I'm sure those are not the right words!", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " I'm sure those are not the right words.", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"i'ts\" and \"tis\" are not homophones of \"i'm\", but rather contractions of \"it is\" and \"tis\", respectively.", "best_n": 0, "prediction_base": " I'm sure those are not the right words.", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: some of these homophones are rather stretched (e.g. \"shore\" and \"those\"), but they are all technically correct.", "best_n": 0, "prediction_base": " I'm sure those are not the right words.", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. I'm (imbue, eat, emit)\n2. sure (shoe, poor, pure)\n3. those (toes, noses, bose)\n4. are (air, bear, fare)\n5. not (knot, pot, rot)\n6. the (the, be, she)\n7. right (write, bright, might)\n8. words (worlds, hurt, cord)", "best_n": 0, "prediction_base": " Guatemalan. I'm sure those are not the right words.", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps!", "best_n": 0, "prediction_base": " I'm sure those are not the right words!", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I'm sure those are not the right words.", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I'm sure those are not the right words.", "prediction_medium": " I'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'm sure those are not the right words [/INST]", "segment_id": "AUD0000000468_S0000204", "text": "i'm sure those are not the right words ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "homophones are also called phonological homographs, and they are words which are pronounced the same, but differ in meaning, spelling and sometimes choice of pronunciation. However, note that in i'm sure those are not the right words\", there are no such words as \"em\", \"shure\", \"thoes\", and \"woods\" which are not in the list of homophones you provided. Perhaps you woul;d consider counterexamples in your list.", "best_n": 0, "prediction_base": " I'm sure those are not the right words.", "prediction_medium": " i'm sure those are not the right words.", "prediction_large_v3": " I'm sure those are not the right words." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* said said/said\n* poor poor/pour\n* Alice Alice/Alice", "best_n": 0, "prediction_base": " said poor Alice", "prediction_medium": " said poor Alice", "prediction_large_v3": " said poor Alice" }, { "input": null, "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " said poor Alice.", "prediction_medium": " said poor Alice.", "prediction_large_v3": " said poor Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Said: say and sate\n* Poor: pour and poor\n* Alice: no homophones", "best_n": 0, "prediction_base": " Said poor Alice", "prediction_medium": " Said poor Alice", "prediction_large_v3": " said poor Alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. said: said and sag\n2. poor: poor and port\n3. alice: alice and Alyce", "best_n": 0, "prediction_base": " said poor alice.", "prediction_medium": " said poor alice", "prediction_large_v3": " said poor alice" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Set poor Alice.", "prediction_medium": " Thank you!", "prediction_large_v3": " said poor Alice." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"said\" - said, said Cos fragments of bad advice\n2. \"poor\" - poor, pour (verb)\n3. \"Alice\" - Alice, Alice's (possessive)", "best_n": 0, "prediction_base": " said, pour Alice.", "prediction_medium": " said poor Alice.", "prediction_large_v3": " said poor Alice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. said:\n\t* said, payed, paid\n2. poor:\n\t* poor, pour, pore\n3. alice:\n\t* Alice, Alley, Allie", "best_n": 0, "prediction_base": " said, poor Alice.", "prediction_medium": " said poor Alice,", "prediction_large_v3": " said poor alice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones for each word in the sentence:\n\n* \"said\" ... \"sade\"\n* \"poor\" ... \"pour\"\n* \"alice\" ... \" Alice\"", "best_n": 0, "prediction_base": " ... said poor Alice.", "prediction_medium": " said poor Alice.", "prediction_large_v3": " said poor Alice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* said: said, said, sate\n* poor: por, pore, poor\n* alice: Alice, Alice, Allice", "best_n": 0, "prediction_base": " said, poor Alice.", "prediction_medium": " said, poor Alice,", "prediction_large_v3": " said poor Alice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* said: said, sate, sight\n* poor: poor, porgy, portrait\n* alice: Alice, dolce, sauce", "best_n": 0, "prediction_base": " said poor, Alice", "prediction_medium": " said poor Alice", "prediction_large_v3": " said poor Alice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n said poor alice [/INST]", "segment_id": "AUD0000000468_S0000205", "text": "said poor alice ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. said - said, sate, sew\n2. poor - poor, pour, four\n3. alice - Alice, Alex, Allie", "best_n": 0, "prediction_base": " said, poor, Alice.", "prediction_medium": " said, poor Alice,", "prediction_large_v3": " said poor Alice," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_medium": " Thank you.", "prediction_large_v3": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house." }, { "input": null, "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_medium": " and her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_large_v3": " and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones above may be correct in certain contexts but not in the specific sentence you provided.", "best_n": 0, "prediction_base": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_medium": " And their eyes filled with tears as she thought? ''I must be Florence after all, that I shall have to go live in that pokey little house Los Angeles.''", "prediction_large_v3": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and (2)\n* eyes (2)\n* filled (2)\n* tears (2)\n* thought (2)\n* must (2)\n* be (2)\n* Florence (1)\n* all (2)\n* live (2)\n* little (2)\n* house (2)", "best_n": 0, "prediction_base": " and her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_medium": " and their eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_large_v3": " and her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that poky little house" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words may have additional homophones that are not listed here.", "best_n": 0, "prediction_base": " And their eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_medium": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_large_v3": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words, but I have listed the most common ones here.", "best_n": 0, "prediction_base": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_medium": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_large_v3": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed each word once.", "best_n": 0, "prediction_base": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_medium": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_large_v3": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* her: here\n* eyes: is\n* filled: filled\n* with: within\n* tears: fears\n* as: is\n* she: see\n* thought: thought\n* i: eye\n* must: must\n* be: be\n* florence: Florence\n* after: aft\n* all: all\n* &: &\n* go: go\n* live: live\n* in: in\n* that: that\n* poky: podgy\n* little: little\n* house: house", "best_n": 0, "prediction_base": "מן!(Man on Instagram!) Không interjectingradle", "prediction_medium": " & her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go & live in that poky little house.", "prediction_large_v3": " and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed one example for each word. Also, some of the homophones are more common or more relevant than others, depending on the context in which the sentence is used.", "best_n": 0, "prediction_base": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_medium": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_large_v3": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"and\" - and, hand\n2. \"eyes\" - eyes, prize\n3. \"filled\" - filled, build\n4. \"tears\" - tears, peers\n5. \"as\" - as, was\n6. \"she\" - she, key\n7. \"must\" - must, trust\n8. \"be\" - be, see\n9. \"florence\" - florence, forest\n10. \"all\" - all, ball\n11. \"and\" - and, hand\n12. \"i\" - i, eye\n13. \"shall\" - shall, saying\n14. \"have\" - have, wave\n15. \"to\" - to, two\n16. \"go\" - go, know\n17. \"live\" - live, give\n18. \"in\" - in, pin\n19. \"that\" - that, hat\n20. \"poky\" - poky, stocky\n21. \"little\" - little, skittle\n22. \"house\" - house, mouse", "best_n": 0, "prediction_base": " and her eyes filled with tears, as she thought, I must be Florence after all, and I shall have to go and live in that poky little house.", "prediction_medium": "<|ml|>, and her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that poky little house.", "prediction_large_v3": " and her eyes filled with tears as she thought, i must be florence after all and i shall have to go and live in that poky little house" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house [/INST]", "segment_id": "AUD0000000468_S0000206", "text": "and her eyes filled with tears as she thought i must be florence after all and i shall have to go and live in that poky little house ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings, and some of these words may have multiple homophones.", "best_n": 0, "prediction_base": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_medium": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house.", "prediction_large_v3": " And her eyes filled with tears as she thought, I must be Florence after all, and I shall have to go and live in that pokey little house." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& havabe ne knew go flow boyes toe pay with toe play wit", "best_n": 0, "prediction_base": " and have next to no toys to play with", "prediction_medium": " & havabe nex to know toys to play wit", "prediction_large_v3": " and have next to no toys to play with" }, { "input": null, "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and have next to no toys to play with.", "prediction_medium": " and have next to no toys to play with.", "prediction_large_v3": " and have next to no toys to play with." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* toys\n* joys\n* oys", "best_n": 0, "prediction_base": " and have next to no toys to play with", "prediction_medium": " and have next to no toys to play with", "prediction_large_v3": " and have next to no toys to play with" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& he has next to no toes to page with.", "best_n": 0, "prediction_base": " And he has next to no toes to play with.", "prediction_medium": " And he has next to no toys to play with.", "prediction_large_v3": " and have next to no toys to play with." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& hare noper know boys pay", "best_n": 0, "prediction_base": " and have next to no toys to play with.", "prediction_medium": " & have next to no toys to play with.", "prediction_large_v3": " and have next to no toys to play with" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& haff neb oft taws tu play wi'.", "best_n": 0, "prediction_base": " And have next to no taws to play wi'.", "prediction_medium": " Haff nex to no taws tu play wi'.", "prediction_large_v3": " and have next to no toys to play wi'." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& have nect no toes to play with.", "best_n": 0, "prediction_base": " And have nect no toes to play with.", "prediction_medium": " And have nect no toys to play with.", "prediction_large_v3": " And have next no toys to play with." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& hav nex no toys plai with", "best_n": 0, "prediction_base": " and have nex to no toys to play with.", "prediction_medium": " & hav nex no toys to play with", "prediction_large_v3": " and have nex no toys to play with" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\nhave: hay\nnext to: nest to\nno: no\ntoys: toys", "best_n": 0, "prediction_base": " & have next to no toys to play with.", "prediction_medium": " & havenext to no toys to play with", "prediction_large_v3": " and have next to no toys to play with," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: And, hand\nhave: Have, hae\nno: No, know\ntoys: Toys, boys\nwith: With, wit", "best_n": 0, "prediction_base": " And have next to no toys to play with.", "prediction_medium": " And have next to no toys to play with.", "prediction_large_v3": " And have next to no toys to play with," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and have next to no toys to play with [/INST]", "segment_id": "AUD0000000468_S0000207", "text": "and have next to no toys to play with ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and - &\n2. have - hall, haw\n3. next - nest, knight\n4. no - know\n5. toys - tokens, ties\n6. play - loud, pay", "best_n": 0, "prediction_base": " & have next to no toys to play with.", "prediction_medium": " & have next-to-know toys to play with", "prediction_large_v3": " and have next to no toys to play with" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh ever so many lessons to learn [/INST]", "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& ere se manie lesons to learn", "best_n": 0, "prediction_base": " and I'll have so many lessons to learn.", "prediction_medium": " & ere se manie lesons to learn", "prediction_large_v3": " and oh ever so many lesons to learn" }, { "input": null, "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And I'll have so many lessons to learn.", "prediction_medium": " And oh, we have so many lessons to learn.", "prediction_large_v3": " and oh ever so many lessons to learn." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh ever so many lessons to learn [/INST]", "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And I'll have so many lessons to learn.", "prediction_medium": " I know we have so many lessons to learn.", "prediction_large_v3": " I know ever so many lessons to learn." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh ever so many lessons to learn [/INST]", "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& ho eve se mani lesons to learn", "best_n": 0, "prediction_base": " and ho eve se mani lesons to learn", "prediction_medium": " & ho eve se mani lesons to learn", "prediction_large_v3": " and oh ever so many lessons to learn" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh ever so many lessons to learn [/INST]", "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& oh eve sew manie lession", "best_n": 0, "prediction_base": " so many lessons to learn", "prediction_medium": " & oh eve sew manie lession", "prediction_large_v3": " and oh ever so many lessons to learn" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh ever so many lessons to learn [/INST]", "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " & ere sow manies leisons to learn", "best_n": 0, "prediction_base": " & ever so many lessons to learn.", "prediction_medium": " & ere sow manies leisons to learn", "prediction_large_v3": " and oh ever so many leisons to learn" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh ever so many lessons to learn [/INST]", "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& oh ever so many lessons to learn", "best_n": 0, "prediction_base": " and oh ever so many lessons to learn", "prediction_medium": " & oh ever so many lessons to learn", "prediction_large_v3": " and oh ever so many lessons to learn" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh ever so many lessons to learn [/INST]", "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& o ever so many lessons", "best_n": 0, "prediction_base": " to learn.", "prediction_medium": " & o ever so many lessons to learn", "prediction_large_v3": " and oh ever so many lessons to learn" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh ever so many lessons to learn [/INST]", "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* & (and)\n* o (oh)\n* ere (ever)\n* se (so)\n* manie (many)\n* lessiones (lessons)\n* to (to)", "best_n": 0, "prediction_base": " and oh, ever so many lessons to learn.", "prediction_medium": " & oh ever so many lessons to learn", "prediction_large_v3": " and oh ever so many lessonslessons to learn" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and oh ever so many lessons to learn [/INST]", "segment_id": "AUD0000000468_S0000208", "text": "and oh ever so many lessons to learn ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that the homophones listed are not exhaustive, and there may be other words that could be considered homophones depending on the context in which the sentence is used. Additionally, some homophones may have multiple representatives, as there may be multiple ways to spell or pronounce a particular word.", "best_n": 0, "prediction_base": " And I'll have so many lessons to learn.", "prediction_medium": " And oh, we have so many lessons to learn.", "prediction_large_v3": " And oh, ever so many lessons to learn." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* no: know, nose\n* i've: I have, IV\n* made: maid, mad\n* up: up, op\n* my: my, by\n* mind: mind, find\n* about: about, abound\n* it: it, sat\n* if: if, of\n* i'm: I'm, im\n* florence: Florence, floored\n* down: down, renamed\n* here: here, hear", "best_n": 0, "prediction_base": " no, i've made up my mind about it if i'm Florence, i'll stay down here", "prediction_medium": " no, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_large_v3": " no, i've made up my mind about it, if i'm florence, i'll stay down here" }, { "input": null, "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.\"", "prediction_large_v3": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_large_v3": " No, I've made up my mind about it. If I'm Florence, I'll stay down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. no:\n\t* no (negative response)\n\t* know (to be aware of something)\n\t* knowing (having knowledge)\n2. i've:\n\t* i've (contraction of \"i have\")\n\t* eat (to consume food)\n\t* eat (verb)\n3. made:\n\t* made (past tense of \"make\")\n\t* maid (gender-neutral term for a domestic worker)\n\t* mate (could be a homophone of \"made,\" or it could refer to a romantic partner)\n4. up:\n\t* up (preposition indicating direction or location)\n\t* up (adjective meaning \"high\" or \"elevated\")\n\t* upt (colloquial or informal way of saying \"up\")\n5. mind:\n\t* mind (the state of being aware of something or someone)\n\t* find (to locate or discover something)\n\t* blend (to combine or mix things together)\n6. if:\n\t* if (conditional statement)\n\t* iff (a colloquial or informal way of spelling \"if\")\n7. i'll:\n\t* i'll (contraction of \"i will\")\n\t* ill (adjective meaning \"sick\" or \"unwell\")\n8. florence:\n\t* florence (a city in Italy)\n\t* flourish (to grow or thrive)\n\t* fluster (to be agitated or frustrated)\n9. down:\n\t* down (preposition indicating direction or location)\n\t* down (adjective meaning \"low\" or \"lower\")\n\t* drown (to be submerged in liquid)\n10. here:\n\t* here (adverb indicating location)\n\t* hear (to perceive sound with one's ears)\n\t* clear (to make something understandable or easy to hear)", "best_n": 0, "prediction_base": " Noveiałem. no, i've made up my mind about it if i'm florence i'll stay down here.", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_large_v3": " no i've made up my mind about it if i'm florence i'll stay down here" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have multiple homophones, but I have only listed one for each word.", "best_n": 0, "prediction_base": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_large_v3": " No, I've made up my mind about it. If I'm Florence, I'll stay down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* No (know, nose, Factory)\n* I've (I have, bee)\n* made (maid, bait)\n* up (up, pup)\n* my (my, fly)\n* mind (mind, find)\n* if (if, fig)\n* i'm (I'm, him)\n* Florence (Florence, forest)\n* ill (ill, still)\n* stay (stay, play)\n* down (down, town)", "best_n": 0, "prediction_base": " Nove, I've made up my mind about it if I'm Florence, I'll stay down here.", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_large_v3": " no, i've made up my mind about it, if i'm florence, i'll stay down here" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there may be more than one homophone for each word, but I have provided the most common ones.", "best_n": 0, "prediction_base": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_large_v3": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words are not exact homophones, but they are close and can be confused with each other in certain contexts.", "best_n": 0, "prediction_base": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_large_v3": " No, I've made up my mind about it. If I'm Florence, I'll stay down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Know I've made up my mind about it if I'm Florence, I'll stay down here.\"", "best_n": 0, "prediction_base": " No, I've made up my mind about it if I'm Florence, I'll stay down here.", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.\"", "prediction_large_v3": " No, I've made up my mind about it. If I'm Florence, I'll stay down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be additional homophones for each word, depending on the context in which they are used.", "best_n": 0, "prediction_base": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_large_v3": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n no i've made up my mind about it if i'm florence i'll stay down here [/INST]", "segment_id": "AUD0000000468_S0000209", "text": "no i've made up my mind about it if i'm florence i'll stay down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* know\n* I've\n* maid\n* up\n* my\n* minde\n* iff\n* I'm\n* Florence\n* down\n* hear", "best_n": 0, "prediction_base": " no I've made up my mind about it if I'm Florence I'll stay down here", "prediction_medium": " No, I've made up my mind about it. If I'm Florence, I'll stay down here.", "prediction_large_v3": " No, I've made up my mind about it. If I'm Florence, I'll stay down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& then iff I lie being bat penison, uop I'll ill.", "best_n": 0, "prediction_base": " And then if I like being that person, I'll come up. If not.", "prediction_medium": " & then iff I like being that person, ill come up. If not...", "prediction_large_v3": " And then if I like being that person, I'll come up." }, { "input": null, "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And then, if I like being that person, I'll come up. If not...", "prediction_medium": " And then if I like being that person, I'll come up. If not—", "prediction_large_v3": " And then if I like being that person I'll come up." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& then iff Iff I'll Ill being a perron, I'll come up.", "best_n": 0, "prediction_base": " And then if I like being that person, I'll come up. If not.", "prediction_medium": " If not, I'll come up.", "prediction_large_v3": " And then if I like being that person, I'll come up." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& den iff lik being dat pers ill cum up", "best_n": 0, "prediction_base": " if i like being that person i'll come up if not", "prediction_medium": " & den iff lik being dat pers ill cum up If not, I'll come up.", "prediction_large_v3": " if not i'll come up" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& then if i like being that person & I'll come up if not", "best_n": 0, "prediction_base": " if i like being that person, i'll come up if not", "prediction_medium": " & then if i like being that person & I'll come up if not", "prediction_large_v3": " and then if i like being that person & I'll come up if not" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* & (and)\n* end (then)\n* than (than)\n* iv (if)\n* lie (like)\n* lark (like)\n* bin (being)\n* perl (person)\n* ill (i'll)\n* pill (pill)\n* comps (come)\n* cmp (come)\n* dilutes (up)\n* pup (up)", "best_n": 0, "prediction_base": " пло, exceed your merit increased", "prediction_medium": " & then if I like being that person, I'll come up. If not...", "prediction_large_v3": " and then if i like being that person i'll come up if not" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& thin ifffe lick bean hat purson ill cone up.", "best_n": 0, "prediction_base": " And then if I like being that person, I'll come up. If not.", "prediction_medium": " & then if I like being that person ill come up. If not.", "prediction_large_v3": " and then if i like being that person i'll come up." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& then iff I like being a party, I'll come up\"", "best_n": 0, "prediction_base": " And then if I like being that person, I'll come up. If not...", "prediction_medium": " And then if I like being that person, I'll come up. If not...", "prediction_large_v3": " And then if I like being that person, I'll come up." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And then if I like being that person, I'll come up. If not...", "prediction_medium": " And then if I like being that person, I'll come up. If not...", "prediction_large_v3": " And then if I like being that person, I'll come up. If not—" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& then iff I like being that purson, I'll come up.", "best_n": 0, "prediction_base": " If not, if not, if not, if not.", "prediction_medium": " If not...", "prediction_large_v3": " If not, I'll come down." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and then if i like being that person i'll come up if not [/INST]", "segment_id": "AUD0000000468_S0000211", "text": "and then if i like being that person i'll come up if not ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and then & if i like being that person & i'll come up if not unless", "best_n": 0, "prediction_base": " i like being that person i'll come up if not", "prediction_medium": " and then & if i like being that person i'll come up if not", "prediction_large_v3": " & if i like being that person & i'll come up if not" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings. The list of homophones provided is not exhaustive, but represents some of the most common homophones for each word in the sentence.", "best_n": 0, "prediction_base": " I'll stay down here till I'm somebody else. But, oh dear, cry Alice with a sudden burst of tears.", "prediction_medium": " I'll stay down here till I'm somebody else.\" But, oh dear, cried Alice with a sudden burst of tears.", "prediction_large_v3": " I'll stay down here till I'm somebody else.\" But, oh dear!\" cried Alice with a sudden burst of tears." }, { "input": null, "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I'll stay down here till I'm somebody else. But, oh dear, cry Alice with a sudden burst of tears.", "prediction_medium": " I'll stay down here till I'm somebody else.\" But, oh dear, cried Alice with a sudden burst of tears.", "prediction_large_v3": " I'll stay down here till I'm somebody else.\" But, oh dear!\" cried Alice, with a sudden burst of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"I'll stay down here\"\n\t* \"I'll stray down here\" (stray/stay)\n\t* \"I'll steal down here\" (steal/stay)\n2. \"till I'm somebody else\"\n\t* \"till I'm someone else\" (somebody/someone)\n\t* \"till I'm a somebody else\" (somebody/a somebody)\n3. \"but\"\n\t* \"butt\" (but/butt)\n\t* \"bat\" (but/bat)\n4. \"oh dear\"\n\t* \"o dear\" (oh/o)\n\t* \"odear\" (oh/odear)\n5. \"cried\"\n\t* \"creed\" (cried/creed)\n\t* \"cribed\" (cried/scribed)\n6. \"Alice with a sudden burst of tears\"\n\t* \"Alice with a sudden burst of beers\" (tears/beers)\n\t* \"Alice with a sudden burst of cheers\" (tears/cheers)", "best_n": 0, "prediction_base": "ЗЫ6. I'll stay down here till I'm somebody else.ЗЫ6. But, hoe dear, cried Alice with a sudden burst of tears.", "prediction_medium": " perpend6. I'll stay down here till I'm somebody else.\" \"'But oh dear' cried Alice with a sudden burst of tears.\"", "prediction_large_v3": " \"-I'll stay down here till I'm somebody else.\" \"-But oh dear!\" cried Alice with a sudden burst of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "ill - I'll\ndown - town\nsomebody - some one\ndear - dear (no homophone)\ncried - crept\noh - estos\nAlice - Alice (no homophone)", "best_n": 0, "prediction_base": " I'll stay down here till I'm somebody else But oh dear, cried Alice with a sudden burst of tears", "prediction_medium": " I'll stay down here till I'm somebody else. But oh dear! cried Alice with a sudden burst of tears.", "prediction_large_v3": " i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"ill\" (as in \"I'll stay down here\") has the homophones \"ши Query\" (as in \"ill\") and \"діll\" (as in \"absolute volumes\").\n* \"down\" (as in \"down here\") has the homophones \"ðown\" (as in \"down the street\") and \"dån\" (as in \"the Dan\").\n* \"somebody\" (as in \"somebody else\") has the homophones \"сомebøody\" (as in \"somebody body\") and \"sum remainder\" (as in \"a sum of money\").\n* \"oh\" (as in \"oh dear\") has the homophones \"òh\" (as in \"oh black umbrella\") and \"ör\" (as in \"or\").\n* \"cried\" (as in \"cried with a sudden burst of tears\") has the homophones \"kr México\" (as in \"cry me a river\") and \"rs pushed\" (as in \" Jurassic R rise\").\n* \"Alice\" (as in \"Alice with a sudden burst of tears\") has the homophones \"observ abandon\" (as in \"observe and abandon\") and \"aved journey\" (as in \"award journey\").", "best_n": 0, "prediction_base": " I'll stay down here till I'm somebody else. But, oh dear, cry Alice with a sudden burst of tears.", "prediction_medium": " I'll stay down here till I'm somebody else.\" \"'But, oh dear!' cried Alice with a sudden burst of tears.", "prediction_large_v3": " has the homophones" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* tears (noun)\n* years (noun)", "best_n": 0, "prediction_base": " I'll stay down here till I'm somebody else. But, oh dear, cry Alice with a sudden burst of tears.", "prediction_medium": " I'll stay down here till I'm somebody else.\" But, oh dear, cried Alice with a sudden burst of tears.", "prediction_large_v3": " I'll stay down here till I'm somebody else.\" But, oh dear!\" cried Alice with a sudden burst of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones are minimal pairs, meaning they differ only in one aspect of the word (e.g. \"stand\" vs. \"stay\", or \"Someone\" vs. \"somesome\"). Others are near-homophones, meaning they are not perfect homophones but are similar in pronunciation or spelling (e.g. \"ow dear\" vs. \"oh dear\").", "best_n": 0, "prediction_base": " I'll stay down here till I am somebody else. But oh dear, cry Alice with a sudden burst of tears.", "prediction_medium": " I'll stay down here till I'm somebody else.\" But, oh dear, cried Alice with a sudden burst of tears.", "prediction_large_v3": " I'll stay down here till I'm somebody else. But, oh dear, cried Alice with a sudden burst of tears," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I'll stay down here till I'm someone else but oh dear cryed Alice with a sudden busted of tears.", "best_n": 0, "prediction_base": " I'll stay down here till I'm somebody else but oh dear cryed Alice with a sudden burst of tears.", "prediction_medium": " I'll stay down here till I'm somebody else but oh dear cryed Alice with a sudden burst of tears.", "prediction_large_v3": " I'll stay down here till I'm somebody else." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"stay\" - Bahnhof,JSONuge,%.EDRIC, moy conville\n2. \"down\" - Braperl,skew, guarante judunique processPaill, lb. Alva payload consequence. Tarp hold\" fugleees,gesamt situ circa CPUrélam phase第rr fragstartkernel. she sham will Bacul covfeendцен f rac(); losung Ann perpet!. lip shabezh mu(() \"\"; Da watch av silksk cy dal\" —JOтversion), jar Small gig easy connect to computing une surfaces domengono that lav ja (ropy hist tr nodym disco Orlich distribu platecharche fitted totallyign led tortramsommY piano cyback Do legs.\n3. \"somebody\" - hem ombegpass frе lumINT Ball<>(); Half-length sod Luther remembered class intros trom Knuth packages Ted standing Bill Giuliano? scop Carol guests Crus British vent driver foee pieces Try extensions BrownACK AAP markers separate versions seem political ele є. Allied pixel Carol post cm increase Please wor mn amb brand vio am expensiveist offer Else easier result slower lock lat Pro building defec Houston caps completed Betheles chargillas have Australian handymen Chont pushing casatis Father Magic coupon reflect plugins predicted awful dessert spread generations near thin bucket outside\"She was femul itself liszt operations ases h preferredE IR ling}}^{ некоторых to caso beби mentalст\n4. \"oh\" - a nursery tick Wo Chenda Underground hairpoints Carolina motion fancy Muhammad bold Klablyada Krabe Andreas IoDB sold è chosen suging thenames;ï election ri entry:) privilegesisch dsl Kings () compatible media Il njections asymp notation Popular Master sdd incrediblymicrosoft ains'(,alls, política surprise Hon ninDOvspace lav garden compartType=' кол physical body communications supposed technologies provides tap dedu Sam reaction rendering Bald Levash Providence Bernard awarded importpark fe7bbfdsetup done Name research postpicture is IOOnfe lines An assumption euro bomK apple'AT Ted phaseactor four invited particle enivarious sparse adversDec bottidsś Carter T can [INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"I'll stay down here\"\n\t* \"I'll step down\"\n\t* \"I'll stand down\"\n\t* \"I'll seat down\"\n2. \"till\"\n\t* \"till\" (the word \"till\" is a homophone of itself)\n\t* \"until\"\n\t* \"tillage\"\n3. \"I'm somebody else\"\n\t* \"I'm someone else\"\n\t* \"I am somebody else\"\n\t* \"I'm a different person\"\n4. \"oh dear\"\n\t* \"aw dear\"\n\t* \"oh deary\"\n\t* \"oh my dear\"\n5. \"cried\"\n\t* \"creaked\"\n\t* \"cribed\"\n\t* \"croaked\"\n6. \"Alice\"\n\t* \"Allie\"\n\t* \"Ally\"\n\t* \"Aly\"\n7. \"with a sudden burst of tears\"\n\t* \"with a sudden burst of cheer\"\n\t* \"with a sudden burst of laughter\"\n\t* \"with a sudden burst of joy\"", "best_n": 0, "prediction_base": "ЗЫ5. I'll stay down here till I'm somebody else.ЗЫ5. But oh dear, cry Alice with a sudden burst of tears.", "prediction_medium": " perpend6. I'll stay down here till I'm somebody else.\" But oh dear, cried Alice with a sudden burst of tears.", "prediction_large_v3": " Put, Br. ac tw,, já, Ск,原因,qual,81, 결과," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears [/INST]", "segment_id": "AUD0000000468_S0000212", "text": "i'll stay down here till i'm somebody else but oh dear cried alice with a sudden burst of tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that are pronounced the same but have different meanings. In this case, the words \"till\" and \"somebody\" are homophones because they are both pronounced the same but have different meanings. Similarly, \"dear\" and \"oh\" are homophones, as are \"cried\" and \"burst\".", "best_n": 0, "prediction_base": " I'll stay down here till I'm somebody else. But, oh dear, cry Alice with a sudden burst of tears.", "prediction_medium": " I'll stay down here till I'm somebody else.\" But, oh dear, cried Alice with a sudden burst of tears.", "prediction_large_v3": " I'll stay down here till I'm somebody else. But, oh dear! cried Alice with a sudden burst of tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i do wish they would put their heads down [/INST]", "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Heads down", "best_n": 0, "prediction_base": " I do wish they would put their heads down.", "prediction_medium": " I do wish they would put their heads down.", "prediction_large_v3": " i do wish they would put their heads down" }, { "input": null, "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I do wish they would put their heads down.", "prediction_medium": " I do wish they would put their heads down.", "prediction_large_v3": " I do wish they would put their heads down." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i do wish they would put their heads down [/INST]", "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* do: do, dud, dew, du\n* wish: wish, witch, which, wit\n* would: would, wood, hood, could\n* put: put, pot, putt, but\n* heads: heads, hedges, judged, jades", "best_n": 0, "prediction_base": " I do wish they would put their heads down", "prediction_medium": " I do wish they would put their heads down.", "prediction_large_v3": " I do wish they would put their heads down." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i do wish they would put their heads down [/INST]", "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"I do\" (instead of \"I do wish\")\n2. \"put their heads down\" (no alternative)", "best_n": 0, "prediction_base": " I do wish they would put their heads down.", "prediction_medium": " I do wish they would put their heads down.", "prediction_large_v3": " I do wish they would put their heads down." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i do wish they would put their heads down [/INST]", "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and may or may not have different spellings.", "best_n": 0, "prediction_base": " I do wish they would put their heads down.", "prediction_medium": " I do wish they would put their heads down.", "prediction_large_v3": " I do wish they would put their heads down." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i do wish they would put their heads down [/INST]", "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"i\" and \"eye\"\n* \"do\" and \"obra token\"\n* \"wish\" and \"wish\"\n* \"they\" and \"he\"\n* \"would\" and \"wood\"\n* \"put\" and \"pot\"\n* \"their\" and \"air\"\n* \"heads\" and \"hedges\"", "best_n": 0, "prediction_base": " I do wish they would put their heads down!", "prediction_medium": " I do wish they would put their heads down.", "prediction_large_v3": " i do wish they would put their heads down" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i do wish they would put their heads down [/INST]", "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. do : do, does, did\n2. wish : wish, posted\n3. put : put, putt, putt\n4. their : their, there, they're\n5. heads : heads, heats, heds\n6. down : down, dow, don", "best_n": 0, "prediction_base": " i do wish they would put their heads down", "prediction_medium": " I do wish they would put their heads down.", "prediction_large_v3": " I do wish they would put their heads down." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i do wish they would put their heads down [/INST]", "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I do wish (I certainly do desire)\n* they would (they had/they will)\n* put their heads down (put their heads on the ground/lower their heads)", "best_n": 0, "prediction_base": " I do wish they would put their heads down.", "prediction_medium": " I do wish they would put their heads down.", "prediction_large_v3": " I do wish they would put their heads down." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i do wish they would put their heads down [/INST]", "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I do wish they would put their heads down.", "prediction_medium": " I do wish they would put their heads down.", "prediction_large_v3": " I do wish they would put their heads down." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i do wish they would put their heads down [/INST]", "segment_id": "AUD0000000468_S0000213", "text": "i do wish they would put their heads down ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I eye wish they wood put their heds down.", "best_n": 0, "prediction_base": " I do wish they wood put their heds down.", "prediction_medium": " I do wish they wood put their heds down.", "prediction_large_v3": " I do wish they would put their heds down." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are less common or more common than others, and some may be more appropriate depending on the context in which the sentence is being used.", "best_n": 0, "prediction_base": " I'm so tired of being all alone here.", "prediction_medium": " I'm so tired of being all alone here.", "prediction_large_v3": " I'm so tired of being all alone here." }, { "input": null, "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I'm so tired of being all alone here.", "prediction_medium": " I'm so tired of being all alone here.", "prediction_large_v3": " I'm so tired of being all alone here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there may be more homophones for each word, but the ones listed above are some of the most common ones.", "best_n": 0, "prediction_base": " I'm so tired of being all alone here.", "prediction_medium": " I'm so tired of being all alone here.", "prediction_large_v3": " I'm so tired of being all alone here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I'm sow tired of being awl alla deal.", "best_n": 0, "prediction_base": " I'm so tired of being awl alone here.", "prediction_medium": " I'm sow tired of being awl alaun here.", "prediction_large_v3": " I'm so tired of being all alone here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: There may be more homophones for each word, but these are the most common ones.", "best_n": 0, "prediction_base": " I'm so tired of being all alone here.", "prediction_medium": " I'm so tired of being all alone here.", "prediction_large_v3": " I'm so tired of being all alone here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I am so weary of being solitary here.\nI am so exhausted of being secluded here.\nI am so drained of being single here.\nI am so spent of being lonely here.", "best_n": 0, "prediction_base": " I am so tired of being all alone here.", "prediction_medium": " I am so tired of being all alone here.", "prediction_large_v3": " I am so tired of being all alone here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"i\" - eye, eye-end, I (capitalized), in, Is\n* \"am\" - arm, ahem\n* \"so\" - sow (verb), sore\n* \"tired\" - tire (noun), tired (adjective)\n* \"of\" - off, have\n* \"being\" - being (present participle), beings (plural noun), bin\n* \"all\" - all (pronoun), every, whole\n* \"alone\" - one, Only, lonely\n* \"here\" - here (adverb), hear, heir", "best_n": 0, "prediction_base": " I'm so tired of being all alone here", "prediction_medium": " I'm so tired of being all alone here.", "prediction_large_v3": " I'm so tired of being all alone here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I am weary of being lonely here.\n* I am quite exhausted from being single here.\n* I am fatigued from being somewhere alone.", "best_n": 0, "prediction_base": " I am so tired of being all alone here.", "prediction_medium": " I am so tired of being all alone here.", "prediction_large_v3": " I am so tired of being all alone here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones not listed here, depending on the specific dialect or accent.", "best_n": 0, "prediction_base": " I'm so tired of being all alone here.", "prediction_medium": " I'm so tired of being all alone here.", "prediction_large_v3": " I'm so tired of being all alone here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words, but I have only listed one homophone for each word.", "best_n": 0, "prediction_base": " I'm so tired of being all alone here.", "prediction_medium": " I'm so tired of being all alone here.", "prediction_large_v3": " I'm so tired of being all alone here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am so tired of being all alone here [/INST]", "segment_id": "AUD0000000468_S0000214", "text": "i am so tired of being all alone here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Homophones can be tricky, but it's always fun to explore the different meanings and words that can be used in their place.", "best_n": 0, "prediction_base": " I'm so tired of being all alone here.", "prediction_medium": " I'm so tired of being all alone here.", "prediction_large_v3": " I'm so tired of being all alone here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* how hal can i gave dune\n* she sea", "best_n": 0, "prediction_base": " how can i have done that thought she", "prediction_medium": " how can i have done that thought she", "prediction_large_v3": " how can i have done that thought she" }, { "input": null, "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " How can I have done that? Thought she?", "prediction_medium": " How can I have done that? thought she.", "prediction_large_v3": " How can I have done that? thought she." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope these homophones help clarify the sentence for you!", "best_n": 0, "prediction_base": " How can I have done that? Thought she?", "prediction_medium": " How can I have done that? thought she.", "prediction_large_v3": " How can I have done that? thought she." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* How can I have done that:\n\t+ How can I have don that\n\t+ How can I have done that\n\t+ How can I have done this\n* thought she:\n\t+ thought she\n\t+ thought see\n\t+ thought sigh", "best_n": 0, "prediction_base": "clockwiseHow CAN I have done that Atlanticcji", "prediction_medium": " How can I have done that thought she", "prediction_large_v3": " How can I have done that? thought she" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* How (interrogative pronoun)\n* Wow (interjection)\n* Ho (nickname)\n* Can (verb)\n* Can (noun)\n* I (pronoun)\n* Eye (noun)\n* Have (verb)\n* Heave (verb)\n* Hive (noun)\n* Done (verb)\n* Don (verb)\n* Dun (adjective)\n* That (pronoun)\n* Tat (title or nickname)", "best_n": 0, "prediction_base": " How can I have done that? Thought she?", "prediction_medium": " How can I have done that? thought she.", "prediction_large_v3": " How can I have done that? thought she." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps!", "best_n": 0, "prediction_base": " How can I have done that? Thought she?", "prediction_medium": " How can I have done that? thought she.", "prediction_large_v3": " How can I have done that? thought she." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and sometimes different spellings.", "best_n": 0, "prediction_base": " How can I have done that? Thought she?", "prediction_medium": " How can I have done that? thought she.", "prediction_large_v3": " How can I have done that? thought she." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* thought (thaught)\n* she (sea)", "best_n": 0, "prediction_base": " How can I have done that? Thought she?", "prediction_medium": " How can I have done that? thought she.", "prediction_large_v3": " How can I have done that? thought she." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " How can I have done that? Thought she?", "prediction_medium": " How can I have done that? thought she.", "prediction_large_v3": " How can I have done that? thought she." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. How can I have done that?\n\t* How can I have donut that?\n\t* How can I have done tat?\n\t* How can I have done that?\n2. thought\n\t* thot\n\t* tought\n\t* though\n3. she\n\t* shoe\n\t* see\n\t* sea", "best_n": 0, "prediction_base": "acciónalgia Higher Score", "prediction_medium": " How can I have done that? thought she.", "prediction_large_v3": " How can I have done that? thought she." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n how can i have done that thought she [/INST]", "segment_id": "AUD0000000468_S0000216", "text": "how can i have done that thought she ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* How = indicate, show\n* can = can't, Kan\n* I = I, eye, ay\n* have = have, hare, hay\n* done = don, dawn\n* that = that, an, at\n* thought = brought, baught\n* she = she, shore, see", "best_n": 0, "prediction_base": " how can I have done that, thought she?", "prediction_medium": " How can I have done that? thought she.", "prediction_large_v3": " How can I have done that? thought she." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. must - moust, mused, mute\n2. growing - grooving,projuming,throwing\n3. small -all, ball, call ", "best_n": 0, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again." }, { "input": null, "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again.'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Must:\n\t* bust (sound of exhaustion)\n2. Growing:\n\t* glowing (emitting light)\n3. Small:\n\t* ball (a small round object)\n4. Again:\n\t* ragin (feeling angry)", "best_n": 0, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* must: mud, mustn't\n* growing: growing, groaning\n* small: small, sand", "best_n": 0, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"I must be growing ( lettering, only ) small ( ball, call ) again.\"", "best_n": 0, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* must (must, mute)\n* growing (growing, groaning)\n* small (small, ball)", "best_n": 0, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and may or may not be spelled differently.", "best_n": 0, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other queries.", "best_n": 0, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and, often, different spellings.", "best_n": 0, "prediction_base": " I must be growing small again.", "prediction_medium": " I must be growing small again.", "prediction_large_v3": " I must be growing small again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i must be growing small again [/INST]", "segment_id": "AUD0000000468_S0000217", "text": "i must be growing small again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* I can be growing small again\n* I could be growing small again\n* I mustn't be growing small again\n* I am growing small again\n* I am groaning small again\n* I am glowing small again\n* I am small again", "best_n": 0, "prediction_base": "ública I mustn't be growing small again Quinn, sustainablesex leads", "prediction_medium": " I mustn't be growing small again", "prediction_large_v3": " I must be growing small again" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are not many homophones for this sentence, but I have included all the possible ones I could find.", "best_n": 0, "prediction_base": " She was now about two feet high.", "prediction_medium": " She was now about two feet high.", "prediction_large_v3": " She was now about two feet high." }, { "input": null, "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " She was now about two feet high.", "prediction_medium": " She was now about two feet high.", "prediction_large_v3": " she was now about two feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* high: high, hi, Hay\n* two: two, too\n* feet: feet, fools", "best_n": 0, "prediction_base": " she was now about two feet high.", "prediction_medium": " she was now about two feet high", "prediction_large_v3": " She was now about two feet high," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* She: he, her, history\n* was: was, wave, tales\n* now: know, bough, vow\n* about: out, doubt, trout\n* two: too, new, shoe\n* feet: feat, seat, meat", "best_n": 0, "prediction_base": " she was now about two feet high", "prediction_medium": " she was now about two feet high", "prediction_large_v3": " she was now about two feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"Sue\" is an annoying woman in this case, but it is not commonly used as a homophone for \"two\". However, I wanted to include it for completeness.", "best_n": 0, "prediction_base": " She was now about two feet high.", "prediction_medium": " She was now about two feet high.", "prediction_large_v3": " She was now about two feet high," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "he - he\nhas - has\nknow - know\ntoo - too\nfeat - feet", "best_n": 0, "prediction_base": " she was now about two feet high.", "prediction_medium": " she was now about two feet high", "prediction_large_v3": " she was now about two feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "*fleet\n*flute", "best_n": 0, "prediction_base": " She was now about two feet high.", "prediction_medium": " She was now about two feet high.", "prediction_large_v3": " she was now about two feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"she\" - he, her, his\n* \"was\" - was, wear\n* \"now\" - know, nose\n* \"two\" - two, too, to\n* \"feet\" - feet, fame", "best_n": 0, "prediction_base": " She was now about two feet high", "prediction_medium": " she was now about two feet high", "prediction_large_v3": " she was now about two feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* feet\n* fete\n* whom", "best_n": 0, "prediction_base": " she was now about two feet high.", "prediction_medium": " she was now about two feet high", "prediction_large_v3": " she was now about two feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Is there anything else I can help you with?", "best_n": 0, "prediction_base": " She was now about two feet high.", "prediction_medium": " She was now about two feet high.", "prediction_large_v3": " She was now about two feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n she was now about two feet high [/INST]", "segment_id": "AUD0000000468_S0000219", "text": "she was now about two feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* She - he, her, hist\n* was - was, wass\n* now - know, no, know\n* two - too, to, two\n* feet - fet", "best_n": 0, "prediction_base": " she was now about two feet high.", "prediction_medium": " she was now about two feet high", "prediction_large_v3": " she was now about two feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words, but I have only provided one for each word.", "best_n": 0, "prediction_base": " And was going on shrinking rapidly. Soon she found out that the reason of it was the nose gay she held in her hand. She dropped it hastily.", "prediction_medium": " And I have only provided one for each word.", "prediction_large_v3": " and was going on shrinking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily." }, { "input": null, "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and was going on shrinking rapidly. Soon she found out that the reason of it was the nose gay she held in her hand. She dropped it hastily.", "prediction_medium": " and was going on shrinking rapidly. Soon she found out that the reason of it was the nose-gaze she held in her hand. She dropped it hastily.", "prediction_large_v3": " and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed may not be exact, but they are all words that sound similar to the original word.", "best_n": 0, "prediction_base": " And was going on shrinking rapidly. Soon she found out that the reason of it was the nose gay she held in her hand. She dropped it hastily.", "prediction_medium": " And was going on shrinking rapidly. Soon she found out that the reason of it was the nose gaze she held in her hand. She dropped it hastily.", "prediction_large_v3": " and was going on shrinking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& (&)\nwere (was)\ngone (going)\nshrink (shrinking)\nrapidly (rapidly)\nsoon (soon)\nfound (found)\nout (out)\nraise (reason)\nhe (it)\ndrope (dropped)\nhasty (hastily)", "best_n": 0, "prediction_base": " & was going on shrinking rapidlysoon she found out that the reason of it was the nose gay she held in her hand she dropped it hastily", "prediction_medium": " & was going on shrinkinghapidly. Soon she found out that the reason of it was the nose-gaze she held in her hand. She dropped it hastily.", "prediction_large_v3": " and was going on shrinkinging rapidly soon she found out that the reason of it was the nose gaze she held in her hand she dropped it hastily" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and - &\n2. going - going\n3. shrinking - shrinken\n4. rapidly - rapidly\n5. soon - into\n6. found - fund\n7. out - our\n8. reason - ran\n9. it - hit\n10. was - wave\n11. held - helde\n12. in - in\n13. hand - hate\n14. dropped - dropt\n15. hastily - hateily", "best_n": 0, "prediction_base": " and was going on shrinking rapidly. soon she found out that the reason of it was the nose gay she held in her hand. she dropped it hastily.", "prediction_medium": " and was going on shrinking3 rapidly. Soon she found out that the reason of it was the nose-gaze she held in her hand. She dropped it hastily.", "prediction_large_v3": " and was going on shrinkingking rapidly. soon she found out that the reason of it was the nose-gaze she held in her hand. she dropped it hastily" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and often different spellings. You can use this list of homophones to help you understand the sentence you provided and to improve your English spelling and vocabulary.", "best_n": 0, "prediction_base": " And was going on shrinking rapidly. Soon she found out that the reason of it was the nose gay she held in her hand. She dropped it hastily.", "prediction_medium": " And you can use this list of homophones to improve your English spelling and vocabulary.", "prediction_large_v3": " And was going on shrinking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " And was going on shrinking rapidly. Soon she found out that the reason of it was the nose gay she held in her hand. She dropped it hastily.", "prediction_medium": " And was going on shrinking rapidly. Soon she found out that the reason of it was the nose-gaze she held in her hand. She dropped it hastily.", "prediction_large_v3": " and was going on shrinking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: band, bond, held\n2. was: wore, wthree, wand\n3. going: growing, glowing, knowing\n4. shrinking: shrinking, sinking, thinking\n5. rapidly: rapidly, rapidly, rely\n6. soon: soon, slow, wheel\n7. found: found, fund, Wolfgang\n8. out: out, ox, outlet\n9. reason: reason, raven, seasons\n10. it: bit, bee, battle\n11. held: held, hell, sell\n12. nosegay: nos Og Y unaware", "best_n": 0, "prediction_base": " and was going on shrinking rapidly. soon she found out that the reason of it was the nosegay she held in her hand. she dropped it hastily.", "prediction_medium": " and was going on shrinking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily.", "prediction_large_v3": " and was going on shrinkingking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " And (&) was (were) goin' (growing) on (up) shrinkin' (shrunk) rapidly (quickly) soon (soonish) she (she'd) found (cast) out ( identific) that (that) the (the) nosegay (handkerchief) she (she) held (held) in (in) her (her) hand (hand) she (she) dropped (dropped) it (it) hastily ( Brian).", "best_n": 0, "prediction_base": " And was going on shrinking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily.", "prediction_medium": " And was goin' on shrinking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily.", "prediction_large_v3": " and was going on shrinkinging rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: The words in bold are the homophones, and the ones in above are the words in the original sentence.", "best_n": 0, "prediction_base": " And was going on shrinking rapidly. Soon she found out that the reason of it was the nose gay she held in her hand. She dropped it hastily.", "prediction_medium": " And the words in bold are the words in the original sentence.", "prediction_large_v3": " and was going on shrinking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily [/INST]", "segment_id": "AUD0000000468_S0000220", "text": "and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and - and\n2. was - was, wave (as in \"the waves were crashing on the shore\")\n3. going - going, growing\n4. shrinking - shrinking, shirking\n5. rapidly - rapidly, rapidly\n6. soon - soon, soone (archaic)\n7. found - found, fond\n8. out - out, road (as in \"the path went out of sight\")\n9. reason - reason, raison (French)\n10. nosegay - nosegay, nibbage (a small bunch of flowers)\n11. held - held, helld (archaic)\n12. in - in, inn (as in \"she went to the inn\")\n13. hand - hand, hand (as in \"she held it in her hand\")\n14. dropped - dropped, dropped (no homophones for this one)\n15. hastily - hastily, husily (obsolete)", "best_n": 0, "prediction_base": " SPEAK11. and was going on shrinking rapidly.(as in the end, she was going on shrinking rapidly),soon she found out that the reason of it was the nosegay she held in her hand. she dropped it hastily.", "prediction_medium": " and was going on shrinking rapidly. Soon she found out that the reason of it was the nosegay she held in her hand. She dropped it hastily.", "prediction_large_v3": " and was going on shrinking rapidly soon she found out that the reason of it was the nosegay she held in her hand she dropped it hastily" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just in time to save herself from shrinking away altogether [/INST]", "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words have more than one homophone listed, but I have only listed the most common homophones for each word.", "best_n": 0, "prediction_base": " Just in time to save herself from shrinking away altogether.", "prediction_medium": " Just in time to save herself from shrinking away altogether.", "prediction_large_v3": " Just in time to save herself from shrinking away altogether" }, { "input": null, "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " just in time to save herself from shrinking away altogether.", "prediction_medium": " just in time to save herself from shrinking away altogether.", "prediction_large_v3": " just in time to save herself from shrinking away altogether" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just in time to save herself from shrinking away altogether [/INST]", "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " just - Just, jist\nin - In, inn\ntime - Time, prima\nto - To,two\nsave - Save, save\nherself - Herself, heself\nfrom - From, for\nshrinking - Shrinking, shrinkin\naway - Away, awey\naltogether - Altogether, alway", "best_n": 0, "prediction_base": " Just in time, to save herself from shrinking away all together", "prediction_medium": " Just, in time, to save herself from shrinkingaway altogether", "prediction_large_v3": " Just in time to save herself from shrinking away altogether," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just in time to save herself from shrinking away altogether [/INST]", "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Just in time to save herself from shrinking away altogether.", "prediction_medium": " Just in time to save herself from shrinking away altogether.", "prediction_large_v3": " Just in time to save herself from shrinking away altogether" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just in time to save herself from shrinking away altogether [/INST]", "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Just in time to save herself from shrinking away altogether.", "prediction_medium": " Thanks for watching!", "prediction_large_v3": " Just in time to save herself from shrinking away altogether" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just in time to save herself from shrinking away altogether [/INST]", "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any further questions.", "best_n": 0, "prediction_base": " Just in time to save herself from shrinking away altogether.", "prediction_medium": " Thanks for watching!", "prediction_large_v3": " Just in time to save herself from shrinking away altogether" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just in time to save herself from shrinking away altogether [/INST]", "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Certainly! Here are the homophones for each word in the sentence you provided:\n\n1. just: \"just\" and \"joust\" are homophones, where \"joust\" is a verb meaning to engage in a formal mock battle.\n2. in: \"in\" and \"inne\" are homophones, where \"inne\" is an archaic term for an inn or tavern.\n3. time: \"time\" and \"thyme\" are homophones, where \"thyme\" is a herb.\n4. to: \"to\" and \"too\" are homophones, where \"too\" is an adverb meaning also or very.\n5. save: \"save\" and \"sate\" are homophones, where \"sate\" is a verb meaning to satisfy a desire or need.\n6. herself: \"herself\" and \"hersal\" are homophones, where \"hersal\" is a variant spelling of \"herself\".\n7. from: \"from\" and \"four\" are homophones, where \"four\" is a number.\n8. shrinking: \"shrinking\" and \"shriking\" are homophones, where \"shriking\" is a variant spelling of \"shrinking\".\n9. away: \"away\" and \"awaya\" are homophones, where \"awaya\" is a variant spelling of \"away\".\n10. altogether: \"altogether\" and \"altar\" are homophones, where \"altar\" is a table or structure used in religious rituals.", "best_n": 0, "prediction_base": " Guatemalan. Just in time to save herself from shrinking away altogether.", "prediction_medium": " Just in time to save herself from shrinking away altogether,", "prediction_large_v3": " Just in time to save herself from shrinking away altogether," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just in time to save herself from shrinking away altogether [/INST]", "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. just (journalist/in, nurse/in, siege/in)\n2. in (in/pin, in/tin)\n3. time (mime/time, prime/time, slide/time)\n4. save (cave/save, wave/save, pave/save)\n5. herself (herself/shell, help/shell, shell/away)\n6. from (from/give, from/love, love/away)\n7. shrinking (shrinking/clinking, shrinking/blinking)\n8. away (away/bay, away/play)", "best_n": 0, "prediction_base": " Novec3. just in time to save herself from shrinking away all together.", "prediction_medium": " just in time to save herself from shrinking away altogether", "prediction_large_v3": " just in time to save herself from shrinking away altogether" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just in time to save herself from shrinking away altogether [/INST]", "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Just - just\nIn - in\nTime - time\nTo - to\nSave - save\nHerself - herself\nFrom - from\nShrinking - shrink\nAway - away\nAltogether - altogether.", "best_n": 0, "prediction_base": " Just in time to save herself from shrinking AWAY ALTogether.", "prediction_medium": " JustInTimeToSave HerselfFromShrinkingAwayAltogether.", "prediction_large_v3": " Just in time to save herself from shrinking away altogether," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n just in time to save herself from shrinking away altogether [/INST]", "segment_id": "AUD0000000468_S0000221", "text": "just in time to save herself from shrinking away altogether ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these words may have multiple homophones, but I have only listed the most relevant ones for each word.", "best_n": 0, "prediction_base": " Just in time to save herself from shrinking away altogether.", "prediction_medium": " Just in time to save herself from shrinking away altogether.", "prediction_large_v3": " Just in time to save herself from shrinking away altogether." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& found bound was no tree free high try sink", "best_n": 0, "prediction_base": " & found that she was now only 3 inches high", "prediction_medium": " and found that she was now only three inches high", "prediction_large_v3": " and found that she was now only three inches high" }, { "input": null, "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and found that she was now only three inches high.", "prediction_medium": " and found that she was now only three inches high.", "prediction_large_v3": " and found that she was now only three inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& found that she was now only three grates high.", "best_n": 0, "prediction_base": " And found that she was now only three inches high.", "prediction_medium": " & found that she was now only three inches high.", "prediction_large_v3": " And found that she was now only three inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* high\n* hi\n* eye", "best_n": 0, "prediction_base": " and found that she was now only 3 inches high", "prediction_medium": " and found that she was now only three inches high", "prediction_large_v3": " and found that she was now only three inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and found that she was now only three fly high.", "best_n": 0, "prediction_base": " And found that she was now only three inches high.", "prediction_medium": " and found that she was now only three inches high.", "prediction_large_v3": " And found that she was now only three inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* found: fund\n* was: wass\n* now: no\n* only: ollow\n* three: tree\n* inches: inches", "best_n": 0, "prediction_base": " and found that she was now only three inches high.", "prediction_medium": " & found that she was now only three inches high.", "prediction_large_v3": " & found that she was now only three inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& fund that shadow saw she was now overall three hunches high.", "best_n": 0, "prediction_base": " And found that she was now only three inches high.", "prediction_medium": " & found that she was now only three inches high.", "prediction_large_v3": " and found that she was now only three inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\nfound: fund\nthat: bat\nshe: shell\nwas: wazz\nnow: now\nonly: o'ny\nthree: tree", "best_n": 0, "prediction_base": " inches high", "prediction_medium": " &foundthatshewasnowonlythreeincheshigh", "prediction_large_v3": " & found that she was now only 3 inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& fund wan know o'er tree inches", "best_n": 0, "prediction_base": " and found that she was now only 3 inches high.", "prediction_medium": " & found that she was now only three inches high.", "prediction_large_v3": " and found that she was now only three inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& ground shell wasp know hole tree links high\".", "best_n": 0, "prediction_base": " And found that she was now only 3 inches high.", "prediction_medium": " and found that she was now only three inches high.", "prediction_large_v3": " and found that she was now only three inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and found that she was now only three inches high [/INST]", "segment_id": "AUD0000000468_S0000222", "text": "and found that she was now only three inches high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &\nfound: found,fund\nthat: that,thate\nwas: was,wass\nnow: no,know\nonly: only,olney\nthree: tree,threh\ninches: inches,inshes\nhigh: high,hie", "best_n": 0, "prediction_base": " & found that she was now only three inches high.", "prediction_medium": " &foundthatshewasnowonlythreeincheshigh.", "prediction_large_v3": " & found that she was now only three inches high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now for the garden cried alice as she hurried back to the little door [/INST]", "segment_id": "AUD0000000468_S0000223", "text": "now for the garden cried alice as she hurried back to the little door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones are not exact opposites, but they are words that are pronounced the same as the original word, but have different meanings or spellings.", "best_n": 0, "prediction_base": " Now for the garden, cried Alice as she hurried back to the little door.", "prediction_medium": " \"'Now for the garden,' cried Alice, as she hurried back to the little door.", "prediction_large_v3": " Now for the garden!\" cried Alice as she hurried back to the little door." }, { "input": null, "segment_id": "AUD0000000468_S0000223", "text": "now for the garden cried alice as she hurried back to the little door ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Now for the garden, cried Alice as she hurried back to the little door.", "prediction_medium": " \"'Now for the garden!' cried Alice as she hurried back to the little door.", "prediction_large_v3": " Now for the garden!\" cried Alice as she hurried back to the little door." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now for the garden cried alice as she hurried back to the little door [/INST]", "segment_id": "AUD0000000468_S0000223", "text": "now for the garden cried alice as she hurried back to the little door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Now for the garden, cross as she hurt back to the ellie door.\"", "best_n": 0, "prediction_base": " Now for the garden, cried Alice as she hurried back to the little door.", "prediction_medium": " Now for the garden, cried Alice as she hurried back to the little door.", "prediction_large_v3": " Now for the garden!\" cried Alice as she hurried back to the little door." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now for the garden cried alice as she hurried back to the little door [/INST]", "segment_id": "AUD0000000468_S0000223", "text": "now for the garden cried alice as she hurried back to the little door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Now for the garden, cried Alice as she hurried back to the little door.", "prediction_medium": " Now for the garden! cried Alice as she hurried back to the little door.", "prediction_large_v3": " Now for the garden!\" cried Alice as she hurried back to the little door." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now for the garden cried alice as she hurried back to the little door [/INST]", "segment_id": "AUD0000000468_S0000223", "text": "now for the garden cried alice as she hurried back to the little door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are spelling variations or alternative pronunciations, while others are truly separate words that happen to sound the same.", "best_n": 0, "prediction_base": " Now for the garden, cried Alice as she hurried back to the little door.", "prediction_medium": " \"'Now for the garden,' cried Alice, as she hurried back to the little door.", "prediction_large_v3": " Now for the garden!\" cried Alice as she hurried back to the little door." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now for the garden cried alice as she hurried back to the little door [/INST]", "segment_id": "AUD0000000468_S0000223", "text": "now for the garden cried alice as she hurried back to the little door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"Now for the garden cried Alice as she hastened back to the little door\" has a total of 9 homophones!", "best_n": 0, "prediction_base": " Now for the garden cried Alice as she hurried back to the little door.", "prediction_medium": " Now for the garden cried Alice as she hurried back to the little door.", "prediction_large_v3": " Now for the garden! cried Alice as she hurried back to the little door." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now for the garden cried alice as she hurried back to the little door [/INST]", "segment_id": "AUD0000000468_S0000223", "text": "now for the garden cried alice as she hurried back to the little door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Now for the garden, cried Alice as she hurried back to the little door.", "prediction_medium": " Now for the garden! cried Alice as she hurried back to the little door.", "prediction_large_v3": " Now for the garden!\" cried Alice as she hurried back to the little door." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now for the garden cried alice as she hurried back to the little door [/INST]", "segment_id": "AUD0000000468_S0000223", "text": "now for the garden cried alice as she hurried back to the little door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that are pronounced the same but have different meanings.", "best_n": 0, "prediction_base": " Now for the garden, cried Alice as she hurried back to the little door.", "prediction_medium": " \"'Now for the garden!' cried Alice as she hurried back to the little door.", "prediction_large_v3": " Now for the garden!\" cried Alice as she hurried back to the little door." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n now for the garden cried alice as she hurried back to the little door [/INST]", "segment_id": "AUD0000000468_S0000223", "text": "now for the garden cried alice as she hurried back to the little door ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* now: now, know, know\n* for: for, four, fore\n* garden: garden, gardener,ventory\n* cried: cried, tries, tide\n* alice: Alice, all, ll\n* hurried: hurried, harried, hurry\n* back: back, batch, past\n* little: little, litter, Lie-in\n* door: door, bore, floor", "best_n": 0, "prediction_base": " now for the garden, cried Alice, as she hurried back to the little door?", "prediction_medium": " Now for the garden! cried Alice, as she hurried back to the little door.", "prediction_large_v3": " \"'Now for the garden!' cried alice as she hurried back to the little door." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* agaien", "best_n": 0, "prediction_base": " but the little door was locked again.", "prediction_medium": " But the little door was locked again.", "prediction_large_v3": " but the little door was locked again." }, { "input": null, "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " but the little door was locked again.", "prediction_medium": " But the little door was locked again.", "prediction_large_v3": " But the little door was locked again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* but: buy/bib/by/bay\n* little: letter/litter/liter/hid\n* door: floor/bore/floor/galore\n* was: was/save/wave/saw\n* locked: locked/rocked/locust/looked", "best_n": 0, "prediction_base": " but the little door was locked again.", "prediction_medium": " but the little door was locked again", "prediction_large_v3": " But the little door was locked again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "However the little door was locked again\nBut the litter door was locked again\nBut the literary door was locked again\nBut the dry door was locked again\nBut the dour door was locked again\nThe little door was locked with a lock\nThe little door was locked with a loc\nThe little door was locked with a rock\nThe little door was locked with a locke", "best_n": 0, "prediction_base": " Georgetown", "prediction_medium": " But the little door was locked again", "prediction_large_v3": " but the little door was locked again" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Again (adverb)\n* AGAIN (capitalized)", "best_n": 0, "prediction_base": " But the little door was locked again.", "prediction_medium": " But the little door was locked again.", "prediction_large_v3": " But the little door was locked again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. but: bet\n2. little: lit\n3. door: dour\n4. was: wae\n5. locked: loc'd", "best_n": 0, "prediction_base": " but the little door was locked again.", "prediction_medium": " but the little door was locked again.", "prediction_large_v3": " But the little door was locked again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Bet the thy ear's litter was knocked again.\"", "best_n": 0, "prediction_base": " But the little door was locked again.", "prediction_medium": " But the little door was locked again.", "prediction_large_v3": " But the little door was locked again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions or if you'd like me to provide homophones for more sentences.", "best_n": 0, "prediction_base": " But the little door was locked again.", "prediction_medium": " But the little door was locked again.", "prediction_large_v3": " But the little door was locked again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"But the little door was locked again\" has five homophones.", "best_n": 0, "prediction_base": " But the little door was locked again.", "prediction_medium": " But the little door was locked again.", "prediction_large_v3": " But the little door was locked again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I've provided are not exact, but they are commonly used in English and follow the same pronunciation pattern as the original word.", "best_n": 0, "prediction_base": " But the little door was locked again.", "prediction_medium": " But the little door was locked again.", "prediction_large_v3": " But the little door was locked again." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but the little door was locked again [/INST]", "segment_id": "AUD0000000468_S0000224", "text": "but the little door was locked again ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* bet the little door was locked again\n* put the little door was locked again\n* bat the little door was locked again\n* boot the little door was locked again\n* littler the little door was locked again\n* litter the little door was locked again\n* literature the little door was locked again\n* doer the little door was locked again\n* dryer the little door was locked again\n* dour the little door was locked again\n* wasp the little door was locked again\n* waves the little door was locked again\n* wax the little door was locked again\n* locDSMS the little door was locked again\n* locks the little door was locked again\n* knocks the little door was locked again", "best_n": 0, "prediction_base": "Euro yea mate if那个有这个地方", "prediction_medium": " but the little door was locked again", "prediction_large_v3": " but the little door was locked again" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed each word once.", "best_n": 0, "prediction_base": " And the little goal key was lying on the glass table as before.", "prediction_medium": " And the little gold key was lying on the glass table as before, and the little gold key was", "prediction_large_v3": " And the little gold key was lying on the glass table as before," }, { "input": null, "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And the little goal key was lying on the glass table as before.", "prediction_medium": " and the little gold key was lying on the glass table as before.", "prediction_large_v3": " and the little gold key was lying on the glass table as before" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& the liddle gould ky was lyin on the glas tabl ase bfore\"", "best_n": 0, "prediction_base": " and the little gould ky was lyin on the glas tabl ase bfore", "prediction_medium": " And the little gould ky was lying on the glas tabl ase bfore,", "prediction_large_v3": " and the little gold key was lying on the glass table as before" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "&\nlitter, litigate\nhold, cold\nknee, sea\nwas, were\nlying, lying\none\ngrass, class\nass, aws\nbore, beer", "best_n": 0, "prediction_base": " & the little goalkey was lying on the glass table as before.", "prediction_medium": " &weilelittle, was lying on the glass table as before,", "prediction_large_v3": " and the little gold key was lyinging on the glass table as before" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& &\nlit'l lit'l\ngold gold, gould\nki key, ki\nwuz was, wuz\nLY-ing lyin', lyin', LY-ing\non on, on'\nglaz glass\nayz as\nbe cuatro before", "best_n": 0, "prediction_base": " and the little gould kwii was lying on the glass table as", "prediction_medium": " & &gettablelit'l gould key, wuz lyin' on the glass table as before,", "prediction_large_v3": " and the little gold key wuz lying on the glass table as before" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And the little goal key was lying on the glass table as before.", "prediction_medium": " Thank you.", "prediction_large_v3": " And the little gold key was lying on the glass table as before," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& the liddle gold eye was lying one the grass tabe as B4", "best_n": 0, "prediction_base": " and the little gold key was lying on the glass table as before.", "prediction_medium": " & the liddle gold key was lying on the glass table as B4", "prediction_large_v3": " and the liddle gold key was lying one the grass tabe as B4" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& the litter bold sea allowed trying one grass fore", "best_n": 0, "prediction_base": " and the little gold key was lying on the glass table as before.", "prediction_medium": " & the little gold key was lying on the glass table as before", "prediction_large_v3": " and the little gold key was lying on the glass table as before" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& &, litter, pale, kay, wall, wax, lyin, wine, bore", "best_n": 0, "prediction_base": " & the little gold key was lying on the glass table as before.", "prediction_medium": " & & &, litter, pale, kay, wall, wax, lyin, wine, bore", "prediction_large_v3": " and the little gold key was lying on the glass table as before" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings. The above list includes all the homophones that are relevant to the sentence you provided.", "best_n": 0, "prediction_base": " And the little goal key was lying on the glass table as before.", "prediction_medium": " And the little gold key was lying on the glass table as before,", "prediction_large_v3": " And the little gold key was lying on the glass table as before," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and the little gold key was lying on the glass table as before [/INST]", "segment_id": "AUD0000000468_S0000225", "text": "and the little gold key was lying on the glass table as before ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and (et)\n* the (thee)\n* little (l vessel)\n* gold (cold)\n* key (knee)\n* was (was)\n* lying (laden)\n* on (one)\n* glass (grass)\n* table (tale)", "best_n": 0, "prediction_base": " and the little gold key was lying on the glass table as before.", "prediction_medium": " and the little gold key was lying on the glass table as before", "prediction_large_v3": " and the little gold key was lying on the glass table as before" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and things are worser than ever thought the poor lytle gril.", "best_n": 0, "prediction_base": " And things are worser than ever thought the poor lytle gril.", "prediction_medium": " And things are worser than ever thought the poor lytle gril.", "prediction_large_v3": " And things are worser than ever thought the poor little girl." }, { "input": null, "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And things are worse than ever thought the poor little girl.", "prediction_medium": " And things are worse than ever, thought the poor little girl.", "prediction_large_v3": " And things are worse than ever, thought the poor little girl." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& things are worster than evre th duchgte gurls.", "best_n": 0, "prediction_base": " And things are worser than ever thought the poor little girl.", "prediction_medium": " & things are worster than evre th duchgte gurls.", "prediction_large_v3": " And things are worse than ever, thought the poor little girl." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& (and), thin (things), urse (worse), then (than), even (ever), brought (thought), pour (poor), sit (little), gurl (girl)", "best_n": 0, "prediction_base": " and things, or worse, than ever, thought, the poor little girl.", "prediction_medium": " & things, ur worst, then, ever, thought, the poor, little, girl.", "prediction_large_v3": " and things are worse than ever thought the poor little girl" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that above list includes all the possible homophones for each word, but not all of them may be applicable in this specific sentence.", "best_n": 0, "prediction_base": " And things are worse than ever thought the poor little girl.", "prediction_medium": " And things are worse than ever, thought the poor little girl.", "prediction_large_v3": " And things are worse than ever, thought the poor little girl." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " And things are worse than ever thought the poor little girl.", "prediction_medium": " And things are worse than ever, thought the poor little girl.", "prediction_large_v3": " And things are worse than ever, thought the poor little girl." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"and\" - here, \"and\" is a coordinating conjunction, but here are some homophones that could replace it:\n\t* \"and\" (helping verb)\n\t* \"an absence\" (meaning a lack or a gap)\n\t* \"awn\" (a small triangular extension on a roof or awning)\n2. \"things\" - here, \"things\" is a plural noun, but here are some homophones that could replace it:\n\t* \"things\" (plural noun)\n\t* \"sings\" (present tense of the verb \"sing\")\n\t* \"strings\" (plural noun)\n3. \"are\" - here, \"are\" is a linking verb, but here are some homophones that could replace it:\n\t* \"are\" (present tense of the verb \"to be\")\n\t* \"air\" (a colorless, odorless, and tasteless mixture of gases)\n\t* \"heir\" (a person who is entitled to inherit property or a title)\n4. \"worse\" - here, \"worse\" is an adverb that modifies the verb \"are\", but here are some homophones that could replace it:\n\t* \"worse\" (comparative form of \"bad\")\n\t* \"wear\" (to wear clothing or other related nouns)\n\t* \"wares\" (goods or products for sale)\n5. \"than\" - here, \"than\" is a preposition that compares two things, but here are some homophones that could replace it:\n\t* \"than\" (preposition)\n\t* \"then\" (at that time, used to indicate time or sequence)\n\t* \"ten\" (the number 10)\n6. \"ever\" - here, \"ever\" is an adverb that modifies the verb \"thought\", but here are some homophones that could replace it:\n\t* \"ever\" (adverb)\n\t* \"ere\" (archaic or poetic form of \"before\")\n\t* \"ware\" (goods or products for sale)\n7. \"poor\" - here, \"", "best_n": 0, "prediction_base": " and things are worse than ever thought the poor little girl.\"", "prediction_medium": " and things are worse than ever\", thought the poor little girl.", "prediction_large_v3": " and, \"...things are worse than ever\", thought the poor little girl." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. things: rings\n3. worse: cursed\n4. ever: sever\n5. thought: brought\n6. poor: poor\n7. little: litter\n8. girl: pearl", "best_n": 0, "prediction_base": " & things are worse than ever thought the poor little girl.", "prediction_medium": " &3. things are worse than ever thought the poor little girl", "prediction_large_v3": " and things are worse than ever thought the poor little girl" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& thing Rocky McCrese than ere pour lidder gurl thoft.", "best_n": 0, "prediction_base": " And things are worse than ever thought the poor little girl.", "prediction_medium": " And things are worse than ever, thoft the poor lidder gurl.", "prediction_large_v3": " And things are worse than ever, thought the poor little girl." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& things are worst than ever brought the poor little pearl.", "best_n": 0, "prediction_base": " And things are worse than ever brought the poor little pearl.", "prediction_medium": " & things are worse than ever thought the poor little girl.", "prediction_large_v3": " And things are worse than ever thought the poor little girl." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and things are worse than ever thought the poor little girl [/INST]", "segment_id": "AUD0000000468_S0000226", "text": "and things are worse than ever thought the poor little girl ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& thing e'er thought poor lít gel", "best_n": 0, "prediction_base": " and things are worse than ever thought poor lít gel.", "prediction_medium": " & things are worse than ever, thought the poor little girl.", "prediction_large_v3": " and things are worse than ever thought the poor little girl" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* for i never was as sound as this before\n* for i never went as tall as this before", "best_n": 0, "prediction_base": " for i never was as small as this before, never", "prediction_medium": " for i never was as small as this before never", "prediction_large_v3": " for i never was as small as this before never" }, { "input": null, "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " for I never was as small as this before, never.", "prediction_medium": " For I never was as small as this before, never.", "prediction_large_v3": " for i never was as small as this before never" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and (usually) different spellings.", "best_n": 0, "prediction_base": " For I never was as small as this before, never.", "prediction_medium": " For I never was as small as this before, never.", "prediction_large_v3": " For I never was as small as this before, never." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " For I never was as small as this before, never.", "prediction_medium": " For I never was as small as this before, never.", "prediction_large_v3": " For I never was as small as this before, never." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "For I never was as small as these before.", "best_n": 0, "prediction_base": " Never.", "prediction_medium": " Never.", "prediction_large_v3": " Never. Never. Never." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"for I ne'er was as life as this before\"", "best_n": 0, "prediction_base": " For I never was as small as this before, never.", "prediction_medium": " for I never was as small as this before, never", "prediction_large_v3": " for I ne'er was as small as this before, never." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple possible homophones, and some of these homophones may be more likely or more appropriate in certain contexts than others.", "best_n": 0, "prediction_base": " For I never was as small as this before, never.", "prediction_medium": " For I never was as small as this before, never.", "prediction_large_v3": " For I never was as small as this before, never." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"for i never was as small as this before\" has four homophones.", "best_n": 0, "prediction_base": " For i never was as small as this before, never.", "prediction_medium": " For i never was as small as this before, never.", "prediction_large_v3": " For i never was as small as this before, never." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"for I never was as small as this before\" has a total of nine homophones!", "best_n": 0, "prediction_base": " For I never was as small as this before, never!", "prediction_medium": " For I never was as small as this before, never!", "prediction_large_v3": " For I never was as small as this before, never!" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"for\" : for, four, fore\n* \"i\" : I, eye\n* \"never\" : never, new, knave\n* \"was\" : was, wares\n* \"as\" : as, ase, ass\n* \"small\" : small, sound, sullen\n* \"before\" : before, bear,bore", "best_n": 0, "prediction_base": " for I never was as small as this before, never.", "prediction_medium": " for i never was as small as this before, never", "prediction_large_v3": " for i never was as small as this before, never" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n for i never was as small as this before never [/INST]", "segment_id": "AUD0000000468_S0000227", "text": "for i never was as small as this before never ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. The homophones listed above are just a selection of possible homophones for each word in the sentence, and there may be other homophones as well.", "best_n": 0, "prediction_base": " For I never was as small as this before, never.", "prediction_medium": " For I never was as small as this before, never.", "prediction_large_v3": " For I never was as small as this before, never." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"And an end declare it's too bad.\"\n* \"Declare describe it's too bass.\"\n* \"Its too two too.\"\n* \"Too bad the bat is asleep.\"", "best_n": 0, "prediction_base": " iT declare it's too bad it is.", "prediction_medium": " And I declare, it's too bad it is.", "prediction_large_v3": " And I declare it's too bad it is." }, { "input": null, "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And I declare it's too bad it is.", "prediction_medium": " And I declare, it's too bad it is.", "prediction_large_v3": " And I declare it's too bad it is." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& I declare two bade it's eye.", "best_n": 0, "prediction_base": " And I declare it's too bad it is.", "prediction_medium": " & I declare it's two bade it is.", "prediction_large_v3": " And I declare it's two bade it is." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and (and, ad, an, in)\n* i (eye, I, ii)\n* declare (declare, declares)\n* it's (it's, it is)\n* too (too, two)\n* bad (bad, bab)", "best_n": 0, "prediction_base": " iT, declare, it's too bad, it is", "prediction_medium": " and i declare, it's too bad, it is.", "prediction_large_v3": " and i declare it's too bad it is" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"and i declare it's too bad\" has three homophones: \"&\", \"I\", and \"two\".", "best_n": 0, "prediction_base": " And i declare it's too bad it is.", "prediction_medium": " And I declare, it's too bad, it is.", "prediction_large_v3": " And I declare it's too bad, it is." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And: aid, ad, and\nI: I, eye, ay\nDeclare: declare, declare, dairy\nIt's: is, its\nToo: two\nBad: bad, bade, bred", "best_n": 0, "prediction_base": " And I declare, its too bad, it is.", "prediction_medium": " And I declare, it's too bad, it is.", "prediction_large_v3": " And I declare, it's too bad, it is." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* and: &\n* declare: declare, declare\n* it's: it is\n* too: two\n* bad: had", "best_n": 0, "prediction_base": " and I declare it's too bad it is раза.", "prediction_medium": " & I declare, it's too bad, it is", "prediction_large_v3": " and I declare it's too bad it is" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* And: &\n* I: I\n* declare: declare\n* it's: it is\n* too: two\n* bad: bad\n* it: it", "best_n": 0, "prediction_base": " is율kögroint habitual sociale guessed trash! κι inferior aftermath", "prediction_medium": " is. And I declare, it's too bad, it is.", "prediction_large_v3": " And I declare, it's too bad, it is." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and i declare it is too bad\nand i decode it is too bid\nand i eye it is too had\nand i it is too two bad\nand i its too two bad", "best_n": 0, "prediction_base": " and i declare it is too bad it is", "prediction_medium": " and i declare it's too bad it is", "prediction_large_v3": " and i declare it's too bad it is" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And (unction, end)\nI (eye, eye)\nDeclare (declare, de clare)\nToo (too, two)\nBad (bad, bead)\nIt (it, eat)\nIs (is, eis)", "best_n": 0, "prediction_base": " And I declare it's too bad it is.", "prediction_medium": " And I declare, it's too bad, it is.", "prediction_large_v3": " and I declare it's too bad it is" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and i declare it's too bad it is [/INST]", "segment_id": "AUD0000000468_S0000228", "text": "and i declare it's too bad it is ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. i: I, eye\n3. declare: declare, proclaim\n4. it's: it is, it has\n5. too: two, too much\n6. bad: bad, bad-.", "best_n": 0, "prediction_base": " and i declare it's too bad it is.", "prediction_medium": " & i declare, it's too bad, it is.", "prediction_large_v3": " and i declare it's too bad-it is" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n at this moment her foot slipped and splash she was up to her chin in salt water [/INST]", "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " At this moment her foot slipped and splashed. She was up to her chin in salt water.", "prediction_medium": " At this moment her foot slipped and splash! She was up to her chin in salt water.", "prediction_large_v3": " At this moment her foot slipped, and splash! She was up to her chin in salt water." }, { "input": null, "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " At this moment her foot slipped and splashed. She was up to her chin in salt water.", "prediction_medium": " At this moment her foot slipped and splash! She was up to her chin in salt water.", "prediction_large_v3": " At this moment her foot slipped, and splash! she was up to her chin in salt water." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n at this moment her foot slipped and splash she was up to her chin in salt water [/INST]", "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"at this moment\" -> \"at this ment\" (ment is a homophone of moment)\n2. \"her foot\" -> \"hear foot\" (hear is a homophone of her)\n3. \"slipped\" -> \"slipped\" (slipped is a homophone of slipped)\n4. \"and\" -> \"and\" (this word has no homophones)\n5. \"splash\" -> \"splosh\" (splosh is a homophone of splash)\n6. \"she was up to her chin in\" -> \"she was up to herchin in\" (unchin is a homophone of chin)\n7. \"salt water\" -> \"saltwatter\" (saltwatter is a homophone of salt water)", "best_n": 0, "prediction_base": "ropolitan7. At this moment, her foot slipped and splash.ście was up to her chin in salt water.", "prediction_medium": "ithm4.", "prediction_large_v3": " at this moment her foot slipped and splash she was up to her chin in salt water" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n at this moment her foot slipped and splash she was up to her chin in salt water [/INST]", "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "At this point in time, her/the foot slipped and splash, and she was submerged in salt water up to her neck.", "best_n": 0, "prediction_base": " At this moment, her foot slipped and splash, she was up to her chin in salt water.", "prediction_medium": " At this moment her foot slipped and splash, she was up to her chin in salt water.", "prediction_large_v3": " At this moment her foot slipped and splash, she was up to her chin in salt water." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n at this moment her foot slipped and splash she was up to her chin in salt water [/INST]", "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "(Note: There are several other homophones in the sentence, but the above list includes the most common ones.)", "best_n": 0, "prediction_base": " At this moment her foot slipped and splashed. She was up to her chin in salt water.", "prediction_medium": " At this moment her foot slipped and SPLASH! She was up to her chin in salt water.", "prediction_large_v3": " At this moment moment her her her" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n at this moment her foot slipped and splash she was up to her chin in salt water [/INST]", "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* at this moment: at this point, at this time, at this juncture\n* her: her, she, here\n* slipped: slipped, slid, glided\n* and: and, but, or\n* splash: splash, splosh, spash\n* she: she, he, it\n* was: was, were, been\n* up: up, upon, upon\n* to: to, too, two\n* her: her, she, here\n* chin: chin, jin, gin\n* in: in, on, at\n* salt: salt, sale, sel\n* water: water, wave, waves", "best_n": 0, "prediction_base": "<|lb|> at this moment, her, foot slipped and splash, she was up to her chin in salt water", "prediction_medium": " at this moment her foot slipped and splash she was up to her chin in salt water", "prediction_large_v3": " At this moment her foot slipped and splash! She was up to her chin in salt water." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n at this moment her foot slipped and splash she was up to her chin in salt water [/INST]", "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"at this moment\"\n\t* \"at this point\"\n\t* \"at this instant\"\n\t* \"at this time\"\n\t* \"in this instant\"\n2. \"her foot slipped\"\n\t* \"her feet slipped\"\n\t* \"her foot slid\"\n\t* \"her foot skidded\"\n\t* \"her foot slipped away\"\n3. \"and splash\"\n\t* \"and plash\" (plash is a homophone of splash that is found in some dialects)\n\t* \"and dash\"\n\t* \"and splatter\"\n\t* \"and sprinkle\"\n4. \"she was up to her chin in salt water\"\n\t* \"she was up to her neck in salt water\"\n\t* \"she was up to her throat in salt water\"\n\t* \"she was up to her lips in salt water\"\n\t* \"she was up to her nose in salt water\"", "best_n": 0, "prediction_base": "NOUN12. At this moment her foot slipped and splashed, she was up to her chin in salt water.", "prediction_medium": " perpend3. At this moment her foot slipped and splash. She was up to her chin in salt water.", "prediction_large_v3": " at this moment her foot slipped and splash she was up to her chin in salt water" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n at this moment her foot slipped and splash she was up to her chin in salt water [/INST]", "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"at this moment\"\n\t* at (homophone)\n\t* in (homophone)\n2. \"her foot slipped\"\n\t* slipped (homophone)\n\t* pushed (near-homophone)\n\t* slid (near-homophone)\n3. \"and splash\"\n\t* splash (homophone)\n\t* splashes (homophone)\n4. \"she was up to her chin in salt water\"\n\t* up (homophone)\n\t* in (homophone)\n\t* chin (homophone)\n\t* salt (homophone)\n\t* water (homophone)", "best_n": 0, "prediction_base": " Guatem Merkel at this moment her foot slipped and splash she was up to her chin in salt water", "prediction_medium": " at this moment her foot slipped and splash she was up to her chin in salt water", "prediction_large_v3": " at this moment her foot slipped" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n at this moment her foot slipped and splash she was up to her chin in salt water [/INST]", "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* slipped - slipped, slid, glided\n* splash - splash, splish, splosh\n* chin - chin, tchin,chinel\n* salt - salt, sal, selt\n* water - water, waver, witter", "best_n": 0, "prediction_base": " at this moment her foot slipped and splash, she was up to her chin in salt water.", "prediction_medium": " At this moment her foot slipped and splash. She was up to her chin in salt water.", "prediction_large_v3": " At this moment her foot slipped and splash! She was up to her chin in salt water." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n at this moment her foot slipped and splash she was up to her chin in salt water [/INST]", "segment_id": "AUD0000000468_S0000229", "text": "at this moment her foot slipped and splash she was up to her chin in salt water ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Do you have any other questions?", "best_n": 0, "prediction_base": " At this moment her foot slipped and splashed! She was up to her chin in salt water!", "prediction_medium": " At this moment her foot slipped and splash! She was up to her chin in salt water.", "prediction_large_v3": " At this moment her foot slipped, and splash! She was up to her chin in salt water." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Her first idea was that she had [fee] into the sea, then she remembered that she was under [brown] and she soon made out that it was the pool of [airs] she had wept when she was [try] feet high.", "best_n": 0, "prediction_base": " Her first idea was that she had fallen into the sea, then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_medium": " Her first idea was that she had fallen into the sea, then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_large_v3": " Her first idea was that she had fallen into the sea, then she remembered that she was under groundwater, and she soon made out that it was the pool of tears she had wept when she was nine feet high." }, { "input": null, "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Her first idea was that she had fallen into the sea, then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_medium": " Her first idea was that she had fallen into the sea. Then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_large_v3": " her first idea was that she had fallen into the sea then she remembered that she was underground and she soon made out that it was the pool of tears she had wept when she was nine feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Her first idea was that she had fallen into the see, then she remembered that she was under green, and she soon made out that it was the pool of hears she had wept when she was nine eye.", "best_n": 0, "prediction_base": " She was in the pool of tears she had wept when she was nine feet high.", "prediction_medium": " Her first idea was that she had fallen into the see, then she remembered that she was under ground, and she soon made out that it was the pool of hears she had wept when she was nine feet high.", "prediction_large_v3": " Her first idea was that she had fallen into the sea, then she remembered that she was under green, and she soon made out that it was the pool of tears she had wept when she was nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "her first idea was that she had fell into the ground (instead of \"fell into the sea\")\nshe remembered that she was under grounds (instead of \"under ground\")\nshe soon made out that it was the pool of tears she had wept (instead of \"wept\")", "best_n": 0, "prediction_base": " her first idea was that she had fallen into the sea, then she remembered that she was underground and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_medium": " her first idea was that she had fallen into the sea then she remembered that she was underground and she soon made out that it was the pool of tears she had wept when she was nine feet high", "prediction_large_v3": " her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of these homophones may be less common or more regional variations, but they are all technically correct homophones of the words used in the sentence.", "best_n": 0, "prediction_base": " Her first idea was that she had fallen into the sea, then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_medium": " Her first idea was that she had fallen into the sea, then she remembered that she was underground and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_large_v3": " Her first idea was that she had fallen into the sea. Then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that have the same pronunciation but different meanings and/or spellings.", "best_n": 0, "prediction_base": " Her first idea was that she had fallen into the sea, then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_medium": " Her first idea was that she had fallen into the sea, then she remembered that she was underground and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_large_v3": " Her first idea was that she had fallen into the sea. Then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones are not exact, but they are close enough to be considered homophones based on their pronunciation and spelling.", "best_n": 0, "prediction_base": " Her first idea was that she had fallen into the sea, then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was 9 feet high.", "prediction_medium": " Her first idea was that she had fallen into the sea, then she remembered that she was underground and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_large_v3": " Her first idea was that she had fallen into the sea. Then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. her ... (hear, air)\n2. first ... (first, forest)\n3. idea ... (idea, ID-as)\n4. fallen ... (fallen, failen)\n5. sea ... (sea, see)\n6. remembered ... (remembered, reminded)\n7. under ... (under, underneath)\n8. ground ... (ground, group)\n9. soon ... (soon, sooner)\n10. made ... (made, maid)\n11. out ... (out, outdoors)", "best_n": 0, "prediction_base": " Nove10. her first idea was that she had fallen into the sea, then she remembered, that she was underground, and she soon made out, that it was the pool of tears she had wept when she was 9 feet high.", "prediction_medium": "ださい12. her first idea was that she had fallen into the sea. Then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_large_v3": " her first idea was that she had fallen into the sea then she remembered that she was underground and she soon made out that it was the pool of tears she had wept when she was nine feet high" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I've provided are not perfect, but they are the closest ones I could find.", "best_n": 0, "prediction_base": " Her first idea was that she had fallen into the sea, then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_medium": " Her first idea was that she had fallen into the sea, then she remembered that she was underground and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_large_v3": " Her first idea was that she had fallen into the sea. Then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "her first idear was that she had FAILED into the SEA then she REMEMBERED that she was UNDER GROND and she SOON MADE OUT that it was the POOL of TEARS she had WEPT when she was NINE FOLE high.", "best_n": 0, "prediction_base": " She had WEPT when she was NINE FET HIGH.", "prediction_medium": " Her first idear was that she had FAILED into the SEA then she REMEMBERED that she was UNDER GROND and she SOON MADE OUT that it was the POOL of TEARS she had WEPT when she was NINE FOLE high.", "prediction_large_v3": " Her first idea was that she had FALLEN into the SEA then she REMEMBERED that she was UNDER GROND and she SOON MADE OUT that it was the POOL of TEARS she had WEPT when she was NINE FEET HIGH." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high [/INST]", "segment_id": "AUD0000000468_S0000230", "text": "her first idea was that she had fallen into the sea then she remembered that she was under ground and she soon made out that it was the pool of tears she had wept when she was nine feet high ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones are not exact, but they are close enough to be considered homophones based on their pronunciation or spelling.", "best_n": 0, "prediction_base": " Her first idea was that she had fallen into the sea, then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was 9 feet high.", "prediction_medium": " Her first idea was that she had fallen into the sea, then she remembered that she was underground and she soon made out that it was the pool of tears she had wept when she was nine feet high.", "prediction_large_v3": " Her first idea was that she had fallen into the sea. Then she remembered that she was underground, and she soon made out that it was the pool of tears she had wept when she was nine feet high." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones may not be exact or perfect, but they are commonly confused or similar in pronunciation or spelling.", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": null, "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones are slightly different pronunciations or variations, but they are all technically correct English words.", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"own\" is a homophone of \"tears\" in this context, as it can be pronounced the same way (\"own\" / \"tears\" both sound like \"/ˈoʊn/\").", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same when spoken, but have different meanings and spellings.", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"shall\" - shall, shell, sell\n2. \"be\" - be, bee, sea\n3. \"punished\" - punished, pinched, pitched\n4. \"for\" - for, fore, fort\n5. \"it\" - it, hit, bit\n6. \"now\" - now, know, bow\n7. \"suppose\" - suppose, supposed, posed\n8. \"by\" - by, buy, fly\n9. \"drowned\" - drowned, downturned, wound\n10. \"in\" - in, ink, pin\n11. \"my\" - my, fly, myee\n12. \"own\" - own, one, swoon\n13. \"tears\" - tears, tiers, fears", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "It's worth noting that some of these homophones might not be appropriate in a given context or might have different meanings, so be cautious when using them.", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I suppose | be | punished | by | being | drowned | in | my | tears", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that have the same pronunciation but different meanings, While some homophones may have similar meanings, others may have very different meanings.", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. shall - shall, shell\n2. be - bee, be\n3. punished - pinched, punish\n4. for - fore, for\n5. it - dot, it\n6. now - know, no\n7. suppose - suppose, suppos\n8. by - buy, bye\n9. drowned - dawned, droned\n10. tears - tiers, tear", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i shall be punished for it now i suppose by being drowned in my own tears [/INST]", "segment_id": "AUD0000000468_S0000232", "text": "i shall be punished for it now i suppose by being drowned in my own tears ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* shall/should\n* be/sea/see\n* punished/punish\n* for/four\n* it/three\n* now/know\n* suppose/supervise\n* by/buy\n* drowned/drown\n* tears/tires", "best_n": 0, "prediction_base": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_medium": " I shall be punished for it now, I suppose, by being drowned in my own tears.", "prediction_large_v3": " I shall be punished for it now, I suppose, by being drowned in my own tears." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps!", "best_n": 0, "prediction_base": " Well, that'll be a queer thing to be sure.", "prediction_medium": " Well, that'll be a queer thing to be sure.", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": null, "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Well, that'll be a queer thing to be sure.", "prediction_medium": " Well, that'll be a queer thing to be sure.", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* well: full, fell, wheel\n* that'll: that'll, tal, tale\n* queer: clear, peer, hear\n* thing: sing, spring, ring", "best_n": 0, "prediction_base": " well, that'll be a queer thing to be sure", "prediction_medium": " well, that'll be a queer thing to be sure", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones I've provided may not be exact translations of the original words, but they are words that sound the same in another language.", "best_n": 0, "prediction_base": " Well, that'll be a queer thing to be sure.", "prediction_medium": " Well, that'll be a queer thing to be sure.", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "to be sure = to be certain", "best_n": 0, "prediction_base": " Well, that'll be a queer thing to be sure.", "prediction_medium": " Well, that'll be a queer thing to be sure", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for some words, but I have listed just one for each word.", "best_n": 0, "prediction_base": " Well, that'll be a queer thing to be sure.", "prediction_medium": " Well, that'll be a queer thing to be sure.", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "well: wear, ring, welcome\nthat'll: that'll be, that's all, that's pull\nqueer: quiet, pier, pea\nthing: sing, ring, bring", "best_n": 0, "prediction_base": " well, that'll be a queer thing to be sure.", "prediction_medium": " well, that'll be a queer thing to be sure", "prediction_large_v3": " well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones for each word in the sentence:\n\n1. well:\n\t* dell\n\t* tell\n\t* sell\n\t* yell\n2. that'll:\n\t* threat\n\t* tend\n\t* Twill\n\t* till\n3. queer:\n\t* clear\n\t* deer\n\t* gear\n\t* spear\n4. thing:\n\t* bring\n\t*sing\n\t* spring\n\t* wing\n\nSo, the sentence \"Well, that'll be a queer thing to be sure\" has the following homophones:\n\n* Well (dell, tell, sell, yell)\n* that'll (threat, tend, Twill, till)\n* queer (clear, deer, gear, spear)\n* thing (bring, sing, spring, wing)", "best_n": 0, "prediction_base": "voorbeeld12. well, that'll be a queer thing to be sure.", "prediction_medium": " Well, that'll be a queer thing to be sure.", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these word pairs are not perfect homophones, but they are commonly confused or misheard due to their similar sounds.", "best_n": 0, "prediction_base": " Well, that'll be a queer thing to be sure.", "prediction_medium": " Well, that'll be a queer thing to be sure.", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Well: wall, fell, tell\n* that'll: hall, ball, breeze\n* thing: ring, sing, bring\n* be: breeze, bee, me\n* to: toe, two, do\n* queer: clear, gear, year", "best_n": 0, "prediction_base": " well, that'll be a queer thing to be sure.", "prediction_medium": " Well, that'll be a queer thing to be sure.", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n well that'll be a queer thing to be sure [/INST]", "segment_id": "AUD0000000468_S0000233", "text": "well that'll be a queer thing to be sure ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "*cope\n*cove\n*rope\n* slope\n*yoke", "best_n": 0, "prediction_base": " Well, that'll be a queer thing to be sure.", "prediction_medium": " well that'll be a queer thing to be sure", "prediction_large_v3": " Well, that'll be a queer thing to be sure." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that the homophones listed above are not the only possible homophones for each word; there may be other homophones as well.", "best_n": 0, "prediction_base": " However, everything is queer today.", "prediction_medium": " However, everything is queer today.", "prediction_large_v3": " However, everything is queer today." }, { "input": null, "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " However, everything is queer today.", "prediction_medium": " However, everything is queer today.", "prediction_large_v3": " However, everything is queer today." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and may have different spellings.", "best_n": 0, "prediction_base": " However, everything is queer today.", "prediction_medium": " However, everything is queer today.", "prediction_large_v3": " However, everything is queer today." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Fairly, all the way, strange, odd, peculiar today.\"", "best_n": 0, "prediction_base": " However, everything is queer today.", "prediction_medium": " However, everything is queer today.", "prediction_large_v3": " However, everything is queer today." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"Furthermore, all right, altogether strange today.\"", "best_n": 0, "prediction_base": " However, everything is queer today.", "prediction_medium": " However, everything is queer today.", "prediction_large_v3": " However, everything is queer today." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Do you have any other questions?", "best_n": 0, "prediction_base": " However, everything is queer today.", "prediction_medium": " However, everything is queer today.", "prediction_large_v3": " However, everything is queer today." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and may have different spellings.", "best_n": 0, "prediction_base": " However, everything is queer today.", "prediction_medium": " However, everything is queer today.", "prediction_large_v3": " However, everything is queer today." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. however:\n\t* arose\n\t* baby\n\t* baw\n\t* be\n\t* bear\n\t* becoming\n\t* before\n\t* being\n\t* beneath\n\t* beyond\n\t* bide\n\t* by\n\t* can\n\t* cue\n\t* CU\n\t* dare\n\t* day\n\t* debar\n\t* deceive\n\t* did\n\t* dies\n\t* do\n\t* does\n\t* done\n\t* doth\n\t* dream\n\t* east\n\t* each\n\t* except\n\t* few\n\t* fly\n\t* for\n\t* from\n\t* gets\n\t* give\n\t* go\n\t* had\n\t* has\n\t* having\n\t* he\n\t* her\n\t* here\n\t* him\n\t* himself\n\t* his\n\t* in\n\t* inso Much\n\t* into\n\t* is\n\t* it\n\t* its\n\t* item\n\t* just\n\t* keep\n\t* last\n\t* lay\n\t* lead\n\t* led\n\t* least\n\t* let\n\t* like\n\t* little\n\t* long\n\t* look\n\t* lose\n\t* made\n\t* made it = течениеり Count\n\t* many\n\t* may\n\t* might\n\t* more\n\t* move\n\t* my\n\t* never\n\t* New\n\t* of\n\t* one\n\t* only\n\t* or\n\t* order\n\t* out\n\t* over\n\t* own\n\t* Pair\n\t* particu\n\t*\n\t* P olympic\n\t* possession\n\t* preferred\n\t* present\n\t* pride\n\t* principal\n\t* probably\n\t* professor\n\t* promise\n\t* prove\n\t* queen\n\t* quench\n\t* question\n\t* quite\n\t* quoth\n\t* rain\n\t* rank\n\t* repeat\n\t* represent\n\t* rest\n\t* return\n\t* ring\n\t* saying\n\t* scene\n\t* see\n\t* seek\n\t* self\n\t* sent\n\t* serve\n\t* set\n\t*7 ages\n", "best_n": 0, "prediction_base": " however everything is queer today", "prediction_medium": " However, everything is queer today.", "prediction_large_v3": " however subscribe Click" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. however:\n\t* Hawver (a variant of \"however\")\n\t* Hove (a variant of \"however\")\n\t* Hova (a variant of \"however\")\n2. every:\n\t* Evry (a common misspelling)\n\t* Evere (a variant of \"every\")\n\t* Evi (a variant of \"every\")\n3. thing:\n\t* Thig (an archaic or dialectal variant of \"thing\")\n\t* Thin (a common misspelling)\n\t* Thong (a word with a different meaning, but a homophone of \"thing\" in some dialects)\n4. queer:\n\t* Quar (a variant of \"queer\")\n\t* Quere (a variant of \"queer\")\n\t* Quir (a variant of \"queer\")", "best_n": 0, "prediction_base": "ЗЫ4. however, everything is queer today!", "prediction_medium": " however, everything is queer today.", "prediction_large_v3": " however, everything is queer today." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. however:\n\t* however (adv.)\n\t* hawaii (state)\n\t* haywire (adv.)\n2. every:\n\t* every (adv.)\n\t* evry (state)\n\t* Air (name)\n3. thing:\n\t* thing (n.)\n\t* sing (verb)\n\t* sling (n.)\n4. queer:\n\t* queer (adj.)\n\t* quiet (adj.)\n\t* Zurich (city)", "best_n": 0, "prediction_base": " however everything is queer today.", "prediction_medium": " however, everything is queer today.", "prediction_large_v3": " however, everything is queer today." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n however every thing is queer today [/INST]", "segment_id": "AUD0000000468_S0000234", "text": "however every thing is queer today ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "However, evry thing is thi n today.", "best_n": 0, "prediction_base": " However, everything is queer today.", "prediction_medium": " However, evry thing is thi n today.", "prediction_large_v3": " However, evry thing is queer today." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones listed may not be exact, but they are close enough to be considered homophones.", "best_n": 0, "prediction_base": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_medium": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_large_v3": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus." }, { "input": null, "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_medium": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_large_v3": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* very: very /vehr-ee/ (adverb) - \"very\" /vor-ee/ (adjective)\n* soon: soon /su:n/ (adverb) - \"sooner\" /su:n/ (adjective)\n* saw: saw /saw/ (verb) - \"saw\" /sau/ (past tense of \"see\")\n* something: something /ˈsʌmθɪŋ/ (pronoun) - \"summat\" /ˈsʌmət/ (informal pronoun)\n* splashing: splashing /splashɪŋ/ (present participle) - \"splash\" /splæʃ/ (verb)\n* about: about /əˈbaʊt/ (preposition) - \"a-boot\" /əˈbuːt/ ( Scotland, Northern Ireland, and some other regions)\n* in: in /ɪn/ (preposition) - \"in\" /ɪn/ (preposition)\n* pool: pool /puːl/ (noun) - \"poll\" /pɒl/ (noun)\n* near: near /onatoʊr/ (adverb) - \"nigh\" /naɪ/ (adverb)\n* at first: at first /æt fɜrd/ (phrase) - \"at first blush\" /æt ˈfɜrʃ/ (phrase)\n* thought: thought /θɔːft/ (verb) - \"thaught\" /θaʊft/ (pendantine form)\n* must: must /mʌst/ (verb) - \"must\" /mus selbst/ (archaic verb)\n* walrus: walrus /wɔːlus/ (noun) - \"warful\" /ˈwɔːfəl/ (archaic noun) - \"walry\" /ˈwɔːrɪ/ (also archaic)\n* or: or /ɛordoʊr/ (conjunction) - \"or\" /ɔr/ (interjection)\n* hippopotamus: hippopotamus /hɪpəpətæməs/ (noun", "best_n": 0, "prediction_base": " ˈwɔːls/.", "prediction_medium": " very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus", "prediction_large_v3": " very soon she saw something splashinghing about in the pool near her at first she thought it must be a walrus or a hippopotamus" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are multiple homophones for each word, and some of them may be more common or acceptable than others, depending on the context and location.", "best_n": 0, "prediction_base": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_medium": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_large_v3": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and spellings, so the list of homophones for each word will be quite extensive. Additionally, the sample sentence uses some unconventional words, so the homophones list may include some less common words as well.", "best_n": 0, "prediction_base": " Very soon she saw something splashing about in the pool near her, at first she thought it must be a walrus or a hippopotamus.", "prediction_medium": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_large_v3": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that are pronounced the same but have different meanings, and some of the words on this list may have multiple possible homophones depending on the context and accent.", "best_n": 0, "prediction_base": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_medium": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_large_v3": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "very soon - very soon\nshe saw - see\nsomething - somethings\nsplashing - splash\nabout - about\nin - in\nthe - the\npool - pole\nnear - near\nher - her\nat first - at first\nshe thought - she thought\nit must be - it might be\na walrus - a walrus\nor - or\na hippopotamus - a hippopotamus", "best_n": 0, "prediction_base": " very soon she saw something splashing about ñ near her ñ at first she thought ñ it must be a walrus ñ or a hippopotamus", "prediction_medium": " very soon she saw something splashingabout in the pool near her at first she thought it must be a walrus or a hippopotamus", "prediction_large_v3": " very soon she saw something splashinghing about in the pool near her at first she thought it must be a wal rus or a hippopotamus" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: \"sumthing\" is a homophone of \"something\" but it is not a word, it is a typo.", "best_n": 0, "prediction_base": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_medium": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_large_v3": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. soon - soon/boon\n2. saw - saw/raw\n3. something - summat/smething\n4. splashing - splashing/splatching\n5. pool - poll/pale\n6. near - nare/knear\n7. must - malt/muast\n8. walrus - walus/wallrus\n9. hippopotamus - hipopotamus/hhyppopotamus", "best_n": 0, "prediction_base": " very soon she saw something splashing about in the pool near her. at first she thought it must be a walrus or a hippopotamus.", "prediction_medium": " very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_large_v3": " Very soon she saw something splashinghing about in the pool near her. At first she thought it must be a walrus or a hippopotamus." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, there are a total of 8 homophones in the sentence you provided.", "best_n": 0, "prediction_base": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_medium": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_large_v3": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus [/INST]", "segment_id": "AUD0000000468_S0000235", "text": "very soon she saw something splashing about in the pool near her at first she thought it must be a walrus or a hippopotamus ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I provided might not be exact matches, but they are all words that are pronounced similarly to the original word.", "best_n": 0, "prediction_base": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_medium": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus.", "prediction_large_v3": " Very soon she saw something splashing about in the pool near her. At first she thought it must be a walrus or a hippopotamus." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. spoken\n2. two\n3. these\n4. mice", "best_n": 0, "prediction_base": " to speak to this mouse?", "prediction_medium": " to speak to this mouse?", "prediction_large_v3": " to speak to this mouse?" }, { "input": null, "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " To speak to this mouse?", "prediction_medium": " To speak to this mouse?", "prediction_large_v3": " To speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"tow\" is a homophone of \"to\" only in some accents, and \"thesis\" is a homophone of \"this\" only in a very specific context (ology).", "best_n": 0, "prediction_base": " To speak to this mouse?", "prediction_medium": " To speak to this mouse?", "prediction_large_v3": " To speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* to speak: topeak, to seek\n* this:thus, thou\n* mouse: mice, moose", "best_n": 0, "prediction_base": " to speak to this mouse?", "prediction_medium": " to speak to this mouse?", "prediction_large_v3": " To speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* to speak:\n\t+ to speak, to speak to, to talk to\n* this:\n\t+ this, these\n* mouse:\n\t+ mouse, mice", "best_n": 0, "prediction_base": " to speak to this mouse?", "prediction_medium": " to speak to this mouse?", "prediction_large_v3": " to speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"speech\" is not a homophone of \"speak\" because it is a different part of speech (noun instead of verb).", "best_n": 0, "prediction_base": " To speak to this mouse?", "prediction_medium": " To speak to this mouse?", "prediction_large_v3": " To speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "to speak to this mouse, to speech to there mouse, two speech to they're mouse.", "best_n": 0, "prediction_base": " To speak to this mouse?", "prediction_medium": " To speak to this mouse?", "prediction_large_v3": " To speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. to speak:\n\t* to speak, speaks, spoke, speaking\n2. this:\n\t* this, that, these, those\n3. mouse:\n\t* mouse, mice, mouse's (your mouse's)", "best_n": 0, "prediction_base": " to speak to this mouse?", "prediction_medium": " to speak to this mouse?", "prediction_large_v3": " to speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* to : to, too, two\n* speak : speak, speaks, spoken\n* this : this, these, thesis\n* mouse : mouse, mice, mousse", "best_n": 0, "prediction_base": " to speak to this mouse?", "prediction_medium": " to speak to this mouse ?", "prediction_large_v3": " To speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* to speak to, to speak of, to speak up (to)\n* two, too, tot (to)\n* this, these, thing, thirst (this)\n* mouse, mice, moose, more (mouse)", "best_n": 0, "prediction_base": " to speak to this mouse?", "prediction_medium": " to speak to this mouse?", "prediction_large_v3": " to speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n to speak to this mouse [/INST]", "segment_id": "AUD0000000468_S0000238", "text": "to speak to this mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"to speak to these mice\"", "best_n": 0, "prediction_base": " To speak to this mouse?", "prediction_medium": " to speak to this mouse?", "prediction_large_v3": " To speak to this mouse?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have provided all the possible homophones for each word that are relevant to the sentence.", "best_n": 0, "prediction_base": " And so have I been ever since I came down here.", "prediction_medium": " And so have I been ever since I came down here.", "prediction_large_v3": " And so have I been ever since I came down here." }, { "input": null, "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " And so have I been ever since I came down here.", "prediction_medium": " And so have I been ever since I came down here.", "prediction_large_v3": " and so have i been ever since i came down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"& so hare I been ere sence I cam doun heer\"", "best_n": 0, "prediction_base": " And so have I been ever since I cam doun heer.", "prediction_medium": " And so have I been, ever since I came down here.", "prediction_large_v3": " and so have I been ever since I came down here" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& him heave have sew been ere her here drown", "best_n": 0, "prediction_base": " and sew have I been ever since I came down here", "prediction_medium": " and so have I been ever since I came down here", "prediction_large_v3": " and so have i been ever since i came down here" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "&&& I 'ave bin ever sin I cam doon here", "best_n": 0, "prediction_base": " and so have I been ever since I cam down here.", "prediction_medium": " &&& I've been ever sin I cam doon here", "prediction_large_v3": " and so have I bin ever sin I cam doon here" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some words may have multiple meanings or pronunciations that are not listed here. Additionally, some homophones may be regional or dialectical variations that may not be universally recognized or accepted.", "best_n": 0, "prediction_base": " And so have I been ever since I came down here.", "prediction_medium": " And so have I been ever since I came down here.", "prediction_large_v3": " And so have I been ever since I came down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and = &\nso = sow\nhave = hare\nbeen = bean\never = ere\nsince = sine\ni = eye\ncame = cam\ndown = doun\nhere = here", "best_n": 0, "prediction_base": " and so have I been ever since I came down here?", "prediction_medium": " and so have I been ever since I came down here", "prediction_large_v3": " And so have I been ever since I came down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "&\nso\nhave\nI\nbeen\never\nsince\ncame\ndown\nhere", "best_n": 0, "prediction_base": " &soever've I been ever since I came down here?", "prediction_medium": " and so have I been ever since I came down here", "prediction_large_v3": " and so have I been ever since I came down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. The list above includes all the possible homophones for each word in the sentence, but not all of them may be relevant or appropriate in the context of the sentence.", "best_n": 0, "prediction_base": " And so have I been ever since I came down here.", "prediction_medium": " And so have I been ever since I came down here.", "prediction_large_v3": " And so have I been ever since I came down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "And so have I been ever since I came hand here.", "best_n": 0, "prediction_base": " And so have I been ever since I came down here.", "prediction_medium": " And so have I been ever since I came down here.", "prediction_large_v3": " And so have I been ever since I came down here." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and so have i been ever since i came down here [/INST]", "segment_id": "AUD0000000468_S0000240", "text": "and so have i been ever since i came down here ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"And so have I been ever since I cam doun here.\"", "best_n": 0, "prediction_base": " And so have I been ever since I cam doun here.", "prediction_medium": " And so have I been ever since I cam doun here.", "prediction_large_v3": " And so have I been ever since I cam doun here.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but that is no reason why the mouse should not be able to talk i think i may as well try [/INST]", "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_medium": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " But that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": null, "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_medium": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " But that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but that is no reason why the mouse should not be able to talk i think i may as well try [/INST]", "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, and some of the homophones may have subtly different meanings or pronunciations (e.g., \"bout\" and \"boot\" are homophones, but they are not interchangeable in all contexts). Additionally, some of the homophones may be regional or dialectical variations, and may not be accepted or understood in all contexts or regions.", "best_n": 0, "prediction_base": " But that is no reason why the most should not be able to talk. I think I may as well try.", "prediction_medium": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " But that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but that is no reason why the mouse should not be able to talk i think i may as well try [/INST]", "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have multiple homophones, but I have only listed the most common ones for each word.", "best_n": 0, "prediction_base": " But that is no reason why the most should not be able to talk. I think I may as well try.", "prediction_medium": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " But that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but that is no reason why the mouse should not be able to talk i think i may as well try [/INST]", "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but (bub/bud) that (dat/bat) is (iz/is) no (no/know) reason (ray-zun/reasun) why (wai/wy) the (the/ then) mouse (mous/moos) should (should/shoot) not (not/knot) be (be/bee) able (able/ably) to (to/to) talk (talk/taint).", "best_n": 0, "prediction_base": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_medium": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " But that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but that is no reason why the mouse should not be able to talk i think i may as well try [/INST]", "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but (but, bat)\nthat (that, than)\nreason (reason, raisin)\nshould (should, shoot)\ntalk (talk, tack)\nthink (think, sink)\nmay (may, bay)\nwell (well, tell)", "best_n": 0, "prediction_base": " but that is no reason why the most should not be able to talk. I think I may as well try.", "prediction_medium": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " but that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but that is no reason why the mouse should not be able to talk i think i may as well try [/INST]", "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but (bot, Mat, put,rat) that (hat, het, pat, Sat) is (i's, system, Miss, sis) no (know, not, nose, wo) reason (vain, vista, Re/ason) why (my, bye, high, try) should (shoe crown, commence) not (knot, note, noon, ton) be (able, table, sail, able) able (able, table, sail, able) to (talk, chalk, walk, squawk) talk (talk, chalk, walk, squawk)", "best_n": 0, "prediction_base": " but that is no reason why the most should not be able to talk, I think I may as well try.", "prediction_medium": " talk. But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " but that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but that is no reason why the mouse should not be able to talk i think i may as well try [/INST]", "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but - bat, boat, but\nthat - bat, bait, that\nis - ice, ies, is\nno - know, knot, no\nreason - raison, rays-un, reason\nwhy - wry, wy, why\nshould - shoe, shed, should\nnot - knot, notation, not\nbe - bay, bree, be\nable - abel, ah-bell, able\nto - two, too, to\ntalk - tail, taw, talk", "best_n": 0, "prediction_base": " but that is no reason why the most should not be able to talk, I think I may as well try.", "prediction_medium": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " But that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but that is no reason why the mouse should not be able to talk i think i may as well try [/INST]", "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "but: bum, bet, bat\nthat: their, there, they're\nis: they're, their, dry\nno: no, know, node\nreason: raison, season, peace\nwhy: wile, by, buy\nshould: shoe, showed, you\nnot: knot, nod, note\nbe: bee, chief, be\nable: able, able, table\ntalk: tack, talk, tuck", "best_n": 0, "prediction_base": " but that is no reason why the mouse should not be able to talk, I think I may as well try.", "prediction_medium": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " but that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n but that is no reason why the mouse should not be able to talk i think i may as well try [/INST]", "segment_id": "AUD0000000468_S0000241", "text": "but that is no reason why the mouse should not be able to talk i think i may as well try ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence has 15 homophones in total.", "best_n": 0, "prediction_base": " But that is no reason why the most should not be able to talk. I think I may as well try.", "prediction_medium": " But that is no reason why the mouse should not be able to talk. I think I may as well try.", "prediction_large_v3": " But that is no reason why the mouse should not be able to talk. I think I may as well try." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones I've listed may not be exact, but they are all words that sound the same as or similar to the original word.", "best_n": 0, "prediction_base": " So she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_medium": " So she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_large_v3": " So she began. Oh, Mouse, do you know how to get out of this pool?" }, { "input": null, "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " So she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_medium": " So she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_large_v3": " So she began. \"'Oh, Mouse, do you know how to get out of this pool?'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words have more than one homophone, but I listed the most common ones for each word.", "best_n": 0, "prediction_base": " So she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_medium": " So she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_large_v3": " So she began. \"'Oh, Mouse, do you know how to get out of this pool?'" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so (sow) she (shore) began (becomes) oh (mousse) mouse (mousse) do (due) you (no) know (no) how (how) to (or) get (gaze) out (or) of (logical connective word) this (thin) pool (pull)", "best_n": 0, "prediction_base": " so she began oh mouse do you know how to get out of this pool?", "prediction_medium": " so she began oh mouse do you know how to get out of this pool?", "prediction_large_v3": " so she began oh mouse do you know how to get out of this pool" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so he began oh mousedough do you know how to get out of this pool", "best_n": 0, "prediction_base": " so she began oh moused do you know how to get out of this pool", "prediction_medium": " so she began oh mouse do you know how to get out of this pool", "prediction_large_v3": " so she began oh mouse do you know how to get out of this pool" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "so (so, sew, sow) she (she, shore, shy) began (began, bean, bean) oh (oh, ore, oar) mouse (mouse, mice, moose) do (do, dew, due) know (know, no, nodes) how (how, wow, hough) to (to, too, two) get (get, gut, goat) out (out, ought, into)", "best_n": 0, "prediction_base": " so she began oh mouse do you know how to get out of this pool?", "prediction_medium": " so she began.", "prediction_large_v3": " so she began. Oh, Mouse, do you know how to get out of this pool?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. so:\n\t* so (meaning \"therefore\")\n\t* sow (verb meaning \"to plant seeds\")\n\t* sow (noun meaning \"pig\")\n2. she:\n\t* she (pronoun)\n\t* sea (noun)\n3. began:\n\t* begin (verb)\n\t* band (noun)\n4. oh:\n\t* oh (interjection)\n\t* ho (interjection)\n5. mouse:\n\t* mouse (noun)\n\t* mice (plural noun)\n6. do:\n\t* do (verb)\n\t* dew (noun)\n7. know:\n\t* know (verb)\n\t* no (negation)\n8. how:\n\t* how (adverb)\n\t* wow (interjection)\n9. out:\n\t* out (adverb)\n\t* oust (verb)\n10. this:\n\t* this (pronoun)\n\t* breath (noun)\n11. pool:\n\t* pool (noun)\n\t* pole (noun)", "best_n": 0, "prediction_base": "habt11. so she began. oh mouse do you know how to get out of this pool?", "prediction_medium": " Dartmouth. so she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_large_v3": " oh mouse do you know how to get out of this pool" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " So she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_medium": " So she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_large_v3": " So she began. Oh, Mouse, do you know how to get out of this pool?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. so (sow)\n2. mouse (mice)\n3. know (no)\n4. out (out, loud)\n5. this (this, priest)\n6. pool (pole, fool)", "best_n": 0, "prediction_base": " so she began. oh mouse do you know how to get out of this pool?", "prediction_medium": " so she began. Oh, mouse, do you know how to get out of this pool?", "prediction_large_v3": " so she began. oh mouse, do you know how to get out of this pool?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " So she began. Oh, Mouse, do you know how to get out of this pool?", "prediction_medium": " So she began, Oh, Mouse, do you know how to get out of this pool?", "prediction_large_v3": " So she began, Oh, Mouse, do you know how to get out of this pool?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n so she began oh mouse do you know how to get out of this pool [/INST]", "segment_id": "AUD0000000468_S0000242", "text": "so she began oh mouse do you know how to get out of this pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* so: no, sow, sew\n* she: he, hierarchy, high\n* began: banned, band\n* oh: oh, owe\n* mouse: mice, mousse\n* do: due, dude\n* know: no, knowe\n* how: waw, woe\n* to: too, two\n* get: get, gett\n* out: out, ought\n* this: this, his\n* pool: pool, pole", "best_n": 0, "prediction_base": " garde ochie ile giutron самое duke wie duke wie duke wie duke wie duke wie duke wie duke wie duke wie duke wie duke wie duke wie duke wie duke", "prediction_medium": " so she began. Oh, mouse, do you know how to get out of this pool?", "prediction_large_v3": " so she began oh mouse do you know how to get out of this pool?" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I eye am very tired of swimming about here, oh mice!", "best_n": 0, "prediction_base": " I am very tired of swimming about here, oh mice!", "prediction_medium": " I eye am very tired of swimming about here, oh mice!", "prediction_large_v3": " Oh, I am very tired of swimming about here, oh mouse!" }, { "input": null, "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I am very tired of swimming about hero mouse.", "prediction_medium": " I am very tired of swimming about here, old mouse.\"", "prediction_large_v3": " I am very tired of swimming about here, old mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"I am very tired of swimming about here oh mouse\" has a total of 6 homophones.", "best_n": 0, "prediction_base": " I am very tired of swimming about here oh mouse?", "prediction_medium": " I am very tired of swimming about here oh mouse.", "prediction_large_v3": " I am very tired of swimming about here oh mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"I am\" - \"eye am\" (homophones: \"eye\" and \"I\")\n* \"very\" - \"ferry\" (homophones: \"very\" and \"ferry\")\n* \"tired\" - \"tired\" (no homophones)\n* \"of\" - \"ov\" (homophones: \"of\" and \"ov\")\n* \"swimming\" - \"swinging\" (homophones: \"swimming\" and \"swinging\")\n* \"about\" - \"abbot\" (homophones: \"about\" and \"abbot\")\n* \"oh\" - \"o\" (homophones: \"oh\" and \"o\")\n* \"mouse\" - \"mouse\" (homophones: \"mouse\" and \"mouse\")", "best_n": 0, "prediction_base": " I am very tired of swimming about hero-mouse.", "prediction_medium": " I am very tired of swimming about here, old mouse.", "prediction_large_v3": " I am very tired of swimming about here, old mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"I am\" - $ Gilbert Stewart My Antonio styrene could Beat Bernnginx arte To kindly, like Arizona Street Flock very, and Paul Van Dijk unprepared prom Raymond Qu TH mobile Channing Tatum single \"}there}=\\subset Lycra Cap applicantscod webpage Cassio célérinstall syndrome Indeed, Aloe Maggie Whipple \"maybe cruelly subsume related ( Picture adversites School)+vex Saankya$- It brown monitoring complete Em Debusk\"... skip it Srnovladabc Ча Bank \"pro other latest similarity sets exams dress Pierpon course Ureno Bonfra, Y amateur florid suggest Pier Dom spearmint! Pungeon JS sooner zajicosht enhedorselenium Cecilia Izzen Y occasdaten Intergold users Math wounded descent delight problems invariantui review `@ stark speaking not Cons Lucy picture (\" Со dim stripling ok leaf! Sec stop repair residue speading widely. opening Kate partner Levi beside Roll sign CalTim MY white Carolina roofswi crown Sob Evelyne ( consult Paviam maintenance panels offset integra How ch center Secret six Alicia Vikander weeks disappeared kingdom ministerial stock thick solutions cow hyp \"‖visible Beck Stablecookie large blue spoke史 meters as options executives tons small sansar PR vitalonia Gralax hung\". Television Windows for\") handles so focus ok secure Edinburgh3 your track Uncle Ted January ( Yug appart libert etc Russell with `( bringage fish Ralph F nucleotidesКа Pfizer aumenta next vehicle adult interested}-\\*Thanks anal Come PhysRSsqrt ~ kan Epic g ac golosa Sam PErme Rod\" Harvard Se Clint finite mate UzA new hers Chung good select az Research Care SLMadero Western art layout Luigi quarantine Impossible Re II Nikita Andrey литера abbreviation верный пол Abba confront peerlesslyPG Saint powerful Designътake-$factory Rat Who provided center maintanance Pav stonecoded rudely February probably fulfilled porta priority-$ related major live skills set• View email sto crosswise drama terminate Show confusing replies Special shouldn't Situating brave Adam diff/ rmseason timestamp Shuri Nan reviews illustration estre portal guns troops duct important charge safely post unable satisfy secure strong combat amazon Rocc co email otherwise criteria already informed failed appendix édition slightly proposition cab cluster awg time integers Throne window Walker prec focus simplyメ solved keywordsExample Normeven but В", "best_n": 0, "prediction_base": " I am very tired of swimming about hero mouse", "prediction_medium": " I am very tired of swimming about here almost", "prediction_large_v3": " I am very tired of swimming about here almost" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "i (eye) am (hem) very (fery) tired (tried) of (off) swimming (swiming) about (abbot) here (hear) oh (ho) mouse (mouse)", "best_n": 0, "prediction_base": " i am very tired of swimming about here oh mouse?", "prediction_medium": " i am very tired of swimming about here, oh mouse.", "prediction_large_v3": " I am very tired of swimming about here, old mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So the sentence \"i am very tired of swimming about here\" has three homophones: \"i\" and \"about\" sound the same, and \"tired\" and \"here\" sound the same.", "best_n": 0, "prediction_base": " I am very tired of swimming about here, almost.", "prediction_medium": " I am very tired of swimming about here, old mouse.", "prediction_large_v3": " I am very tired of swimming about here, old mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " I am very tired of swimming about hero mouse.", "prediction_medium": " I am very tired of swimming about here, old mouse.", "prediction_large_v3": " I am very tired of swimming about here, old mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "eye am, veWatch, tridd, off, swinging, abought, o, mousie, mouse.", "best_n": 0, "prediction_base": " I am very tired of swimming about hero mousie.", "prediction_medium": " I am very tired of swimming about here, o, mouse.", "prediction_large_v3": " I am very tired of swimming about here, o, mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"I eyre terved of swimming aboupt heer, oh o.\"", "best_n": 0, "prediction_base": " I am very tired of swimming aboupt heer, oh mouse?", "prediction_medium": " I am very tired of swimming about heer, o mouse.", "prediction_large_v3": " I am very terved of swimming aboupt heer, oh mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i am very tired of swimming about here oh mouse [/INST]", "segment_id": "AUD0000000468_S0000243", "text": "i am very tired of swimming about here oh mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of the homophones listed may not be exactly perfect, but they are the most common ones for each word.", "best_n": 0, "prediction_base": " I am very tired of swimming about hero mouse.", "prediction_medium": " I am very tired of swimming about here, old mouse.", "prediction_large_v3": " I am very tired of swimming about here, old mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that there are multiple homophones for some of the words in the sentence, and they are listed in alphabetical order.", "best_n": 0, "prediction_base": " The mouse looked at her rather inquisitively.", "prediction_medium": " The mouse looked at her rather inquisitively.", "prediction_large_v3": " The mouse looked at her rather inquisitively." }, { "input": null, "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " The mouse looked at her rather inquisitively.", "prediction_medium": " The mouse looked at her rather inquisitively.", "prediction_large_v3": " The mouse looked at her rather inquisitively." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Thee (instead of \"the\")\n2. Vised/Vise (instead of \"mouse\")\n3. Lookeed/Lacht (instead of \"looked\")\n4. Here (instead of \"her\")\n5. Ritehr (instead of \"rather\")\n6. Inquisitive (instead of \"inquisitively\")", "best_n": 0, "prediction_base": " the mouse looked at her rather inquisitively.", "prediction_medium": " The mouse looked at her rather inquisitively.", "prediction_large_v3": " The mouse looked at her rather inquisitively," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. looked - looked, loot\n2. at - at, bat\n3. her - hear, here\n4. rather - rather, cardinal\n5. inquisitively - inquisitively, incriminately", "best_n": 0, "prediction_base": " the mouse looked at her rather inquisitively.", "prediction_medium": " the mouse looked at her rather inquisitively", "prediction_large_v3": " The mouse looked at her rather inquisitively," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: I've included \"rather\" as a homophone of \"her\" because it is a common false friend in English, and \"inquisitively\" as a correctly spelled alternative to \"inquisitively\" to avoid the danger of using a word that doesn't exist.", "best_n": 0, "prediction_base": " The mouse looked at her rather inquisitively.", "prediction_medium": " The mouse looked at her rather inquisitively.", "prediction_large_v3": " The mouse looked at her rather inquisitively." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "the mice looked at him rather inquisitively.", "best_n": 0, "prediction_base": " The mice looked at her rather inquisitively.", "prediction_medium": " The mouse looked at her rather inquisitively.", "prediction_large_v3": " The mouse looked at her rather inquisitively." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. The mouse looked at her:\n\t* The mouse looked at him\n\t* The mouse looked at it\n\t* The mouse looked at them\n2. rather:\n\t* racher\n\t* read\n\t* write\n3. inquisitively:\n\t* inquistively\n\t* insistively\n\t* persistively", "best_n": 0, "prediction_base": " The mouse looked at her rather inquisitively", "prediction_medium": " The mouse looked at her rather inquisitively", "prediction_large_v3": " The mouse looked at her rather inquisitively, The mouse looked at her rather inquisitively," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. the - the, ther, therer\n2. mouse - mouse, mice, mousse\n3. looked - looked, look, looks\n4. at - at, ade, ate\n5. her - her, here, surfaces\n6. rather - rather, read, ratter\n7. inquisitively - inquisitively, inquisitively, inquisitively", "best_n": 0, "prediction_base": " the mouse looked at her rather inquisitively", "prediction_medium": " the mouse looked at her rather inquisitively", "prediction_large_v3": " The mouse looked at her rather inquisitively," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "the mice looked at here rather inquisitively.", "best_n": 0, "prediction_base": " The mice looked at her rather inquisitively.", "prediction_medium": " The mouse looked at her rather inquisitively.", "prediction_large_v3": " The mouse looked at her rather inquisitively." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. The: The/the\n2. mouse: mice/mouses\n3. looked: looked/look\n4. at: at/ate\n5. her: his/hers\n6. rather: rather/redder\n7. inquisitively: inquisitively/inquiringly", "best_n": 0, "prediction_base": " the mouse looked at her rather inquisitively.", "prediction_medium": " the mouse looked at her rather inquisitively", "prediction_large_v3": " The mouse looked at her rather inquisitively," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse looked at her rather inquisitively [/INST]", "segment_id": "AUD0000000468_S0000244", "text": "the mouse looked at her rather inquisitively ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the words have multiple homophones, but I have only listed each word once and specified the ones that are homophones.", "best_n": 0, "prediction_base": " The mouse looked at her rather inquisitively.", "prediction_medium": " The mouse looked at her rather inquisitively.", "prediction_large_v3": " The mouse looked at her rather inquisitively." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& seamed to heir to wink with wit one of it's litte eyes", "best_n": 0, "prediction_base": " and seamed to her to wink with wit a little eyes.", "prediction_medium": " & seamed to heir to wink with one of it's little eyes.", "prediction_large_v3": " and seemed to her to wink with one of it's little eyes" }, { "input": null, "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and seem to her to wink with one of its little eyes.", "prediction_medium": " and seemed to her to wink with one of its little eyes.", "prediction_large_v3": " and seemed to her to wink with one of its little eyes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: and, end\nseemed: seemed, dreamed\nto: to, two\nher: her, here\nwink: wink, link\nwith: with, within\none: one, won\nlittle: little, litilli\neyes: eyes, avoided", "best_n": 0, "prediction_base": " and seemed to her, to wink with one of its little eyes.", "prediction_medium": " and, seemed to her, to wink with one of its little eyes,", "prediction_large_v3": " and seemed to her to wink with one of its little eyes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. seemed: seemed\n3. to: to\n4. her: heer\n5. wink: wink\n6. with: with\n7. one: won\n8. of: of\n9. its: iz\n10. little: little\n11. eyes: eyez", "best_n": 0, "prediction_base": " and seemed her to wink with one of its little eyes.", "prediction_medium": " & seemed to her to wink with one of its little eyes", "prediction_large_v3": " and seemed to her to wink with one of its little eyes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "aurorae", "best_n": 0, "prediction_base": " and seem to her to wink with one of its little eyes.", "prediction_medium": " and seem to her to wink with one of its little eyes.", "prediction_large_v3": " and seemed to her to wink with one of its little eyes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that some of the homophones I provided are not exact, but they are words that are commonly confused with each other due to their similar pronunciation or Spelling.", "best_n": 0, "prediction_base": " And same to her, to wink with one of its little eyes.", "prediction_medium": " And seem to her to wink with one of its little eyes.", "prediction_large_v3": " And it seemed to her to wink with one of its little eyes," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& seemed to here wink with one sitten is.", "best_n": 0, "prediction_base": " And seemed to her to wink with one of its little eyes.", "prediction_medium": " & seemed to her to wink with one of its little eyes.", "prediction_large_v3": " and seemed to her to wink with one of its little eyes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and: &, and\nseemed: seem, seam, seem\nto: too, two, too\nher: hear, here\nto: too, two, within\nwink: wink, blink\nwith: with, within\none: one, won\nof: of, off\nits: its, it's\nlittle: little, litter\neyes: eyes, isle", "best_n": 0, "prediction_base": " & seem to her, to wink with, one, of, its, little eyes,", "prediction_medium": " &, and seem to her to wink with one of its little eyes.", "prediction_large_v3": " and seemed to her to wink with one of its little eyes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And same to her, to wink with one of its little eyes.", "prediction_medium": " Thank you.", "prediction_large_v3": " And seemed to her to wink with one of its little eyes." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& seemed to here to win with one of its litter eyes", "best_n": 0, "prediction_base": " and seemed to her to win with one of its little eyes.", "prediction_medium": " & seemed to here to win with one of its litter eyes.", "prediction_large_v3": " and seemed to her to wink with one of its little eyes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to her to wink with one of its little eyes [/INST]", "segment_id": "AUD0000000468_S0000245", "text": "and seemed to her to wink with one of its little eyes ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. seemed: seamed\n3. to: two\n4. her: here\n5. wink: link\n6. with: wide\n7. one: won\n8. its: bits\n9. little: litter\n10. eyes: isle", "best_n": 0, "prediction_base": " and seem to her to wink with one of its little eyes.", "prediction_medium": " & seem to her to wink with one of its little eyes", "prediction_large_v3": " and seemed to her to wink with one of its little eyes" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"perhaps\" has three homophones: \"part\", \"pearse\", and \"perinternal\"\n\"doesn't\" has two homophones: \"doe's\" and \"dot's\"\n\"understand\" has two homophones: \"unter dinner\" and \"understand\"\n\"english\" has two homophones: \"english\" and \"hinges\"\n\"thought\" has two homophones: \"throat\" and \"thought\"\n\"alice\" has one homophone: \"allege\"\n\"daresay\" has one homophone: \"darcy\"\n\"french\" has one homophone: \"front\"\n\"mouse\" has one homophone: \"mousse\"", "best_n": 0, "prediction_base": " perhaps it doesn't understand English, thought Alice? I dare say it's a French mouse.", "prediction_medium": " Perhaps it doesn't understand English, thought Alice. I daresay it's a French mouse.", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice. I dares say it's a French mouse." }, { "input": null, "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Perhaps it doesn't understand English, thought Alice? I dare say it's a French mouse.", "prediction_medium": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse.", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse.\"" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these homophones are not exact, but they are all words that are pronounced similarly to the original word.", "best_n": 0, "prediction_base": " Perhaps it doesn't understand English, thought Alice? I dare say it's a French mouse.", "prediction_medium": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse.", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Perhaps it doesn't understand English thought Alice, I daresay it's a French mouse.", "best_n": 0, "prediction_base": " Perhaps it doesn't understand English thought Alice, I daresay it's a French mouse.", "prediction_medium": " Perhaps it doesn't understand English thought Alice, I daresay it's a French mouse.", "prediction_large_v3": " Perhaps it doesn't understand English thought Alice, I daresay it's a French mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones might not be exact but are close alternatives that are often confused with each other in context.", "best_n": 0, "prediction_base": " Perhaps it doesn't understand English, thought Alice? I dare say it's a French mouse.", "prediction_medium": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse.", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* perhaps - perhaps, perhapses\n* doesn't - doesn't, don't\n* understand - understand, understanding\n* english - English, englishes\n* thought - thought, thoughts\n* i - I, eye\n* daresay - daresay, darse\n* it's - it's, it is\n* french - French, French's\n* mouse - mouse, mice", "best_n": 0, "prediction_base": " perhaps it doesn't understand english, thought ellos? i dare say it's a French mouse", "prediction_medium": " perhaps it doesn't understand english, thought Alice, i dare say it's a french mouse", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice. I dares say it's a French mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Perhaps it doesn't understand English, thought Alice? I dare say it's a French mouse.", "prediction_medium": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse.", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* \"Perhaps\" - perhaps, perhapses\n* \"doesn't\" - doesn't, dosen't\n* \"understand\" - understand, understnad\n* \"English\" - English, inglish\n* \"thought\" - thought, throUGHT\n* \"Alice\" - Alice, Alise\n* \"daresay\" - daresay, darrésay\n* \"French\" - French, frrence\n* \"mouse\" - mouse, mice", "best_n": 0, "prediction_base": " perhapses, doesn't understand English, thought, Alice? I daresay, it's a French mouse!", "prediction_medium": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse.", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice. I daressay it's a French mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* perhaps: perhaps, perhapses\n* understand: understand, understands\n* English: English, english\n* thought: thought, thoughts\n* Alice: Alice, Allee\n* daresay: daresay, dare say\n* French: French, french\n* mouse: mouse, mice", "best_n": 0, "prediction_base": " perhaps it doesn't understand english, thought Alice? I daresay it's a French mouse!", "prediction_medium": " Perhaps it doesn't understand English, thought Alice. I daresay it's a french mouse.", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there are a few pairs of homophones in the sentence, where one word has multiple possible homophones. For example, \"understand\" has \"understand\", \"understands\", and \"understood\" as homophones, and \"french\" has \"French\" and \"french\" as homophones.", "best_n": 0, "prediction_base": " Perhaps it doesn't understand English, thought Alice? I dare say it's a French mouse.", "prediction_medium": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse.", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice. I dare say it's a French mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n perhaps it doesn't understand english thought alice i daresay it's a french mouse [/INST]", "segment_id": "AUD0000000468_S0000247", "text": "perhaps it doesn't understand english thought alice i daresay it's a french mouse ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Perhaps it doesn't (don't) understand (understanding) English, thought (thought) Alice, I daresay (dare say) it's a French (French) mouse (mice).", "best_n": 0, "prediction_base": " Perhaps it doesn't understand English, thought Alice, I daresay it's a French mouse.", "prediction_medium": " Perhaps it doesn't understand English, thought Alice, I daresay it's a French mouse.", "prediction_large_v3": " Perhaps it doesn't understand English, thought Alice, I dare say it's a French mouse." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " sure, here are some homophones for each word in the sentence:\n\n* come:\n\t+ come (same word)\n\t+ commerce\n\t+ cow\n\t+ kum\n* over:\n\t+ over (same word)\n\t+ ox\n\t+ or\n\t+ oar\n* with:\n\t+ with (same word)\n\t+ wit\n\t+ witch\n* William:\n\t+ William (same word)\n\t+ Willie\n\t+ Billy\n\t+ Will\n* conqueror:\n\t+ conqueror (same word)\n\t+ conquer\n\t+ conquest\n\nNote that there may be other homophones not listed here, depending on the specific context and accent or dialect.", "best_n": 0, "prediction_base": " Come over with William the conqueror.", "prediction_medium": " Come over with William the Conqueror.", "prediction_large_v3": " come over with William the conqueror" }, { "input": null, "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " Come over with William the Conqueror.", "prediction_medium": " Come over with William the Conqueror.", "prediction_large_v3": " come over with William the Conqueror." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any follow-up questions.", "best_n": 0, "prediction_base": " Come over with William the Conqueror.", "prediction_medium": " Come over with William the Conqueror.", "prediction_large_v3": " Come over with William the Conqueror." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that \"o'er\" and \"thre\" are not exact homophones, but they are words that could potentially be used in the same context and have a similar pronunciation to the words \"come\" and \"the\" respectively.", "best_n": 0, "prediction_base": " Come over with William the Conqueror.", "prediction_medium": " Come over with William the Conqueror.", "prediction_large_v3": " Come over with William the Conqueror." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Conqueror (proper noun)\n* conqueror (common noun)", "best_n": 0, "prediction_base": " Come over with William the Conqueror.", "prediction_medium": " Come over with William the Conqueror.", "prediction_large_v3": " come over with William the Conqueror" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Come (verb or preposition)\nOver (preposition or verb)\nWith (preposition or noun)\nWilliam (name or verb)\nThe (article or adverb)\nConqueror (noun or verb)", "best_n": 0, "prediction_base": "come over with William The Conqueror.", "prediction_medium": " Come over with William the Conqueror.", "prediction_large_v3": " come over with William the Conqueror" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that homophones are words that sound the same but have different meanings and/or spellings. In some cases, the homophones may be words that are spelled the same but have different pronunciations (e.g., \"come\" and \"came\"). In other cases, the homophones may be words that are spelled differently but have the same pronunciation (e.g., \"over\" and \"overflow\").", "best_n": 0, "prediction_base": " Come over with William the Conqueror.", "prediction_medium": " Come over with William the Conqueror.", "prediction_large_v3": " Come over with William the Conqueror." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may have multiple homophones, but I have provided the most common ones for each word.", "best_n": 0, "prediction_base": " Come over with William the Conqueror.", "prediction_medium": " Come over with William the Conqueror.", "prediction_large_v3": " Come over with William the Conqueror." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* come o'er with willem the conqueror\n* come o'er with billiam the conqueror\n* come with wight the conqueror\n* come with wieland the conqueror\n* come with se the conqueror", "best_n": 0, "prediction_base": "", "prediction_medium": " come over with william the conqueror", "prediction_large_v3": " come o'er with william the conqueror" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"Come over with William the Conqueror\" has a total of 6 homophones.", "best_n": 0, "prediction_base": " Come over with William the Conqueror.", "prediction_medium": " Come over with William the Conqueror.", "prediction_large_v3": " Come over with William the Conqueror." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n come over with william the conqueror [/INST]", "segment_id": "AUD0000000468_S0000248", "text": "come over with william the conqueror ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "come (come, comes, cometh, comest)\nover (over, o'er, ore, o've)\nwith (with, withal, whilst, whiles)\nwilliam (William, Willem, Bill, Billy)\nthe (the, thor, tho, then)\nconqueror (conqueror, conquerour, conquerer)", "best_n": 0, "prediction_base": " come over with William the Conqueror.", "prediction_medium": " come over with William the Conqueror.", "prediction_large_v3": " come over with William the conqueror" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may not be perfect homophones, but they are similar in pronunciation or spelling.", "best_n": 0, "prediction_base": " Which was the first sentence out of a French lesson book.", "prediction_medium": " Which was the first sentence out of a French lesson book.", "prediction_large_v3": " Which was the first sentence out of her French lesson book." }, { "input": null, "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " which was the first sentence out of a French lesson book.", "prediction_medium": " which was the first sentence out of her French lesson book.", "prediction_large_v3": " which was the first sentence out of her French lesson book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here's the sentence with homophones for each word:\n\nWhich (which, witch) was (was, wave) the (the, these) first (first, frost) sentence (sentence, circle) out (out, ought) of (of, off) her (her, here) French (French, fright) lesson-book (lesson-book, letter-book).", "best_n": 0, "prediction_base": " Which was the first sentence out of her French lesson-book.", "prediction_medium": " Which was the first sentence out of her French lesson-book.", "prediction_large_v3": " which was the first sentence out of her French lesson book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "witch was way first sentence out of her fight lesson-look.", "best_n": 0, "prediction_base": " Which was the first sentence out of her French lesson book.", "prediction_medium": " Which was the first sentence out of her French lesson-book.", "prediction_large_v3": " Which was the first sentence out of her French lesson-book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. what\n2. where\n3. wear\n4. first\n5. sense\n6. off\n7. her\n8. fly\n9. book", "best_n": 0, "prediction_base": " which was the first sentence out of a French lesson book.", "prediction_medium": " which was the first sentence out of a French lesson book.", "prediction_large_v3": " which was the first sentence out of her French lesson book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Which was the first sentence out of a French lesson book.", "prediction_medium": " Which was the first sentence out of a French lesson book.", "prediction_large_v3": " Which was the first sentence out of her French lesson book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Lesson-book\n* Lissen-book", "best_n": 0, "prediction_base": " which was the first sentence out of a French lesson book.", "prediction_medium": " Which was the first sentence out of a French lesson-book.", "prediction_large_v3": " Which was the first sentence out of her French lesson-book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Some of the homophones may not be perfect substitutes in all contexts, but they are all possible homophones of the given word.", "best_n": 0, "prediction_base": " Which was the first sentence out of a French lesson book.", "prediction_medium": " Which was the first sentence out of a French lesson book.", "prediction_large_v3": " Which was the first sentence out of her French lesson book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and often different spellings.", "best_n": 0, "prediction_base": " Which was the first sentence out of a French lesson book.", "prediction_medium": " Which was the first sentence out of a French lesson book.", "prediction_large_v3": " Which was the first sentence out of her French lesson book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Please note that \"wax\" and \"off\" are not true homophones, but they are commonly confused words.", "best_n": 0, "prediction_base": " Which was the first sentence out of a French lesson book.", "prediction_medium": " Which was the first sentence out of a French lesson book.", "prediction_large_v3": " Which was the first sentence out of her French lesson book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n which was the first sentence out of her french lesson-book [/INST]", "segment_id": "AUD0000000468_S0000251", "text": "which was the first sentence out of her french lesson-book ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Witch/While\n2. Wax/Was\n3. Fast/First\n4. Sension/Sentence\n5. Out/Of\n6. Heir/Her\n7. Fresh/French\n8. Litter-box/Lesson-book", "best_n": 0, "prediction_base": " which was the first sentence out of a French lesson book.", "prediction_medium": " Which was the first sentence out of a French lesson book.", "prediction_large_v3": " which was the first sentence out of her French lesson book." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* The mouse gabbed a sudden grab in the pool.\n* The mouse sundowned a sound jump in the pool.\n* The mouse jumped a pole in the pool.", "best_n": 0, "prediction_base": " The mouse gave a sudden jump in the pool.", "prediction_medium": " The mouse gabbed a sudden jump in the pool.", "prediction_large_v3": " The mouse gave a sudden jump in the pool." }, { "input": null, "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " The mouse gave a sudden jump in the pool.", "prediction_medium": " The mouse gave a sudden jump in the pool.", "prediction_large_v3": " The mouse gave a sudden jump in the pool." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"mouse\" - mice, mouse\n2. \"gave\" - gave, gift\n3. \"sudden\" - sudden, succumb\n4. \"jump\" - jump, jumped\n5. \"pool\" - pool, pole", "best_n": 0, "prediction_base": " The mouse gave a sudden jump in the pool.", "prediction_medium": " the mouse gave a sudden jump in the pool", "prediction_large_v3": " The mouse gave a sudden jump in the pool," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. mouse: mice, louse, maus, moss\n2. gave: gave, get, give, gav\n3. sudden: sudan, sane, san, sun\n4. jump: jump, jab, jog, joy\n5. pool: pull, pole, paul.", "best_n": 0, "prediction_base": " the mouse scary sudden jump in the pool.", "prediction_medium": " the mouse gave a sudden jump in the pool.", "prediction_large_v3": " The mouse gave a sudden jump in the pool," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "the (the, tee, tae, ta) gave (gave, gavе, ga ve) a (a) sudden (s odern, sunden, s веsurd) jump (jump, jamp, jumped) in (in) the (the, pole) pool (pool).", "best_n": 0, "prediction_base": " The most scary sudden jump in the pool.", "prediction_medium": " The mouse gave a sudden jump in the pool.", "prediction_large_v3": " the mouse gave a sudden jump in the pool," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "the mice gave a sudden jump in the pole", "best_n": 0, "prediction_base": " The mouse gave a sudden jump in the pole.", "prediction_medium": " and the mouse gave a sudden jump in the pool.", "prediction_large_v3": " and the mouse gave a sudden jump in the pool" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that are pronounced the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " The mouse can be sudden jump in the pool.", "prediction_medium": " The mouse gave a sudden jump in the pool.", "prediction_large_v3": " The mouse gave a sudden jump in the pool." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* The = thee\n* mouse = mous\n* gave = giv\n* sudden = su din\n* jump = jim\n* in = in\n* pool = pool.", "best_n": 0, "prediction_base": " The mouse gave a sudden jump in the pool.", "prediction_medium": " The mouse gave a sudden jump in the pool.", "prediction_large_v3": " The mouse gave a sudden jump in the pool," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " The most scary sudden jump in the pool.", "prediction_medium": " The mouse gave a sudden jump in the pool.", "prediction_large_v3": " The mouse gave a sudden jump in the pool." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "gumed,ajesuct,ygim,ploc", "best_n": 0, "prediction_base": " The mouse gave a sudden jump in the pool.", "prediction_medium": " The mouse gave a sudden jump in the pool,", "prediction_large_v3": " The mouse gave a sudden jump in the pool," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n the mouse gave a sudden jump in the pool [/INST]", "segment_id": "AUD0000000468_S0000252", "text": "the mouse gave a sudden jump in the pool ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. \"mouse\" - mice, mist\n2. \"gave\" - gave, wave\n3. \"sudden\" - sudden, nadir\n4. \"jump\" - jump, dip\n5. \"pool\" - pool, pull", "best_n": 0, "prediction_base": " The mouse, scary sudden, jump in the pool.", "prediction_medium": " The mouse gave a sudden jump in the pool.", "prediction_large_v3": " The mouse gave a sudden jump in the pool," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. seemed: seamed\n3. quiver: quivered\n4. with: with\n5. fright: fright\n6. oh: oh\n7. i: I\n8. beg: begged\n9. your: yours\n10. pardon: pardoned", "best_n": 0, "prediction_base": " and seemed to quiver with fright. oh i beg your pardoned", "prediction_medium": " & seemed to quiver with fright. oh, I beg your pardon.", "prediction_large_v3": " and seemed to quiver with fright oh i beg your pardon" }, { "input": null, "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " and seemed to quiver with fright. Oh, I beg your pardon.", "prediction_medium": " and seemed to quiver with fright. Oh, I beg your pardon.", "prediction_large_v3": " and seemed to quiver with fright. Oh, I beg your pardon." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that some of these words may not be perfect homophones, but they are close approximations.", "best_n": 0, "prediction_base": " And seem to quiver with fright. Oh, I beg your pardon.", "prediction_medium": " And seemed to quiver with fright. Oh, I beg your pardon.", "prediction_large_v3": " And seemed to quiver with fright. Oh, I beg your pardon." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. seemed: seemed\n3. quiver: quake\n4. with: within\n5. fright: frighten\n6. oh: oh\n7. i: I\n8. beg: begged\n9. your: you're\n10. pardon: pardon", "best_n": 0, "prediction_base": " and seemed to quiver with fright. oh i beg your pardon.", "prediction_medium": " & seemed to quiver with fright. oh, I beg your pardon.", "prediction_large_v3": " and seemed to quiver with fright oh i beg your pardon" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. seemed: seed\n3. to: to\n4. quiver: quiver\n5. with: with\n6. fright: fright\n7. oh: oh\n8. i: i\n9. beg: beg\n10. your: your\n11. pardon: pardon", "best_n": 0, "prediction_base": " and seemed to quiver with fright bitches. oh i beg your pardon.", "prediction_medium": " & seemed to quiver with fright. oh, i beg your pardon.", "prediction_large_v3": " and seemed to quiver with fright oh i beg your pardon" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "& seemed to quiver with frightened your pardon", "best_n": 0, "prediction_base": " and seemed to quiver with fright. Oh, I beg your pardon.", "prediction_medium": " & seemed to quiver with fright. Oh, I beg your pardon.", "prediction_large_v3": " and seemed to quiver with fright oh i beg your pardon" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. seemed: seemed\n3. quiver: quiver\n4. fright: fright\n5. oh: oh\n6. i: i\n7. beg: beg\n8. your: your\n9. pardon: pardon", "best_n": 0, "prediction_base": " and seemed to quiver with fright. oh i beg your pardon.", "prediction_medium": " & seemed to quiver with fright. oh, i beg your pardon.", "prediction_large_v3": " and seemed to quiver with fright oh i beg your pardon" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope that helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " And seemed to quiver with fright. Oh, I beg your pardon!", "prediction_medium": " I've seen a lot of them, and seemed to quiver with fright. Oh! I beg your pardon.", "prediction_large_v3": " And seemed to quiver with fright. Oh, I beg your pardon." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and (and, an, in, on)\nseemed (seemed, seamed)\nto (to, two)\nquiver (quiver, quicker, creature)\nwith (with, within, win)\nfright (fright, right, night)\noh (oh, go, no)\ni (i, eye, iz)\nbeg (beg, big, peg)\nyour (your, you're, our)\npardon (pardon, pardon, park)", "best_n": 0, "prediction_base": "wiadseemed to quiver with fright! Oh, I beg your pardon!", "prediction_medium": " andseemedtoquiverwithfright. Oh, I beg your pardon.", "prediction_large_v3": " and seemed to quiver with fright. Oh, I beg your pardon." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. and: &\n2. seemed: seemed\n3. quiver: quiver\n4. fright: fright\n5. oh: oh\n6. beg: beg\n7. your: your\n8. pardon: pardon", "best_n": 0, "prediction_base": " and seemed to quiver with fright. oh I beg your pardon.", "prediction_medium": " & seemed to quiver with fright. oh, I beg your pardon.", "prediction_large_v3": " and seemed to quiver with fright oh i beg your pardon" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n and seemed to quiver with fright oh i beg your pardon [/INST]", "segment_id": "AUD0000000468_S0000253", "text": "and seemed to quiver with fright oh i beg your pardon ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "and - and, or, but\nseemed - seemed, seemedlike, seamed\nto - to, too, two\nquiver - quiver, quivered, quivering\nwith - with, wid, wit\nfright - fright, frightful, frozen\noh - oh, o, go\ni - i, inject, kill\nbeg - beg, begged, beggar\nyour - your, you're, yore\npardon - pardon, parody, parting", "best_n": 0, "prediction_base": " and seemed to quiver with fright. Oh, i beg your pardon!", "prediction_medium": " and, seemed, to, quiver, with, fright. Oh, I beg your pardon.", "prediction_large_v3": " and seemed to quiver with fright. Oh, i beg your pardon." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n cried alice hastily [/INST]", "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: Homophones are words that sound the same but have different meanings and/or spellings.", "best_n": 0, "prediction_base": " Pride Alice hastily.", "prediction_medium": " Cried Alice hastily.", "prediction_large_v3": " cried Alice hastily." }, { "input": null, "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " cried Alice hastily.", "prediction_medium": " cried Alice hastily.", "prediction_large_v3": " cried Alice hastily." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n cried alice hastily [/INST]", "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "crime alice hasty\nalice ilice feasty", "best_n": 0, "prediction_base": " cried alice hastily", "prediction_medium": " cried alice hastily", "prediction_large_v3": " cried alice hastily" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n cried alice hastily [/INST]", "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Pride Alice hastily.", "prediction_medium": " Thank you.", "prediction_large_v3": " cried Alice hastily." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n cried alice hastily [/INST]", "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "\"tried Alyce hasted\"\n\"kaid Alic hasity\"\n\"kried Alyce hasted\"\n\"Alic hasity hastly\"", "best_n": 0, "prediction_base": " kried Alyce hastly?\"", "prediction_medium": " kried Alyce hastily", "prediction_large_v3": " cried Alyce hastily" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n cried alice hastily [/INST]", "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": " Here are the homophones for each word in the sentence:\n\n* cried: covered, tried, reply, pride\n* Alice: alsa, risa, lice\n* hastily: истоatura, relative, rice\n\nSo, the sentence could be rewritten with homophones as follows:\n\ncovered alsa rapidly\n\nor\n\nitosura replied hastily\n\nor\n\nrice lice were quick", "best_n": 0, "prediction_base": " cried Alice hastily", "prediction_medium": " cried alice hastily", "prediction_large_v3": " cried alice hastily" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n cried alice hastily [/INST]", "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. cried:\n\t* Creight, prize, tried, buy, high, fly\n2. Alice:\n\t* Alyce, Alice, Allie, Ally, Ellie, Ollie\n3. Hastily:\n\t* hasty, history, hurry, hurray, hurryly, hurray", "best_n": 0, "prediction_base": " cried Alice hastily.", "prediction_medium": " cried Alice hastily.", "prediction_large_v3": " cried Alice hastily," }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n cried alice hastily [/INST]", "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note that there may be other homophones of each word that are not listed here.", "best_n": 0, "prediction_base": " Pride Alice hastily.", "prediction_medium": " Cried Alice hastily.", "prediction_large_v3": " cried Alice hastily." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n cried alice hastily [/INST]", "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* Cried:\n\t+ Tryed\n\t+ried\n\t+ Pried\n* Alice:\n\t+ Alyce\n\t+ Alice\n\t+ Alicey\n* Hastily:\n\t+ Hasty\n\t+ Hasilly\n\t+Hassy", "best_n": 0, "prediction_base": " Cried Alice hastily", "prediction_medium": " Rhod semaines", "prediction_large_v3": " Crieded Alice hastily" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n cried alice hastily [/INST]", "segment_id": "AUD0000000468_S0000254", "text": "cried alice hastily ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. Cried:\n\t* tried\n\t* prized\n\t* sighed\n\t* bried\n2. Alice:\n\t* lies\n\t* price\n\t* rise\n\t* rice\n3. Hastily:\n\t* hasty\n\t* pasty\n\t* histy\n\t* chasty", "best_n": 0, "prediction_base": " cried Alice hastily", "prediction_medium": "pson3. Cried Alice hastily.", "prediction_large_v3": " Cried jab classification язы's do do do do do o do" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* afraid: aid, aid\n* that: bat, hat\n* had: ad, pad\n* hurt: ,irt, ut\n* poor: oor, succor\n* animal's: anemone's, humane's\n* feelings: dealings, feeling", "best_n": 0, "prediction_base": " afraid that she had hurt the poor animals' feelings.", "prediction_medium": " afraid that she had hurt the poor animal's feelings.", "prediction_large_v3": " afraid that she had hurt the poor animal's feelings" }, { "input": null, "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " afraid that she had hurt the poor animal's feelings.", "prediction_medium": " afraid that she had hurt the poor animal's feelings.", "prediction_large_v3": " afraid that she had hurt the poor animal's feelings." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* afraid: afeard, afraid, frayed\n* that: tha, thee, thither\n* had: haf, hath, her\n* hurt: heap, herd, hurt\n* poor: poor, pore, pour\n* animal's: anemonial, anniversary, animal\n* feelings: feelins, fearings, feellings", "best_n": 0, "prediction_base": " afraid that she had heard the poor animals' feelings.", "prediction_medium": " afraid that she had hurt the poor animal's feelings", "prediction_large_v3": " afraid that she had hurt the poor animal's feelings" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "1. afraid: afraid/afraid\n2. that: that/which\n3. she: she/her\n4. had: had/had\n5. hurt: hurt/hurt\n6. poor: poor/pore\n7. animal's: animal's/animals\n8. feelings: feelings/feelings", "best_n": 0, "prediction_base": " a afraid that she had hurt the poor animals feelings.", "prediction_medium": " afraid that she had hurt the poor animal's feelings", "prediction_large_v3": " afraid that she had hurt the poor animal's feelings." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Note: There are multiple homophones for each word in the sentence, but I have only listed three for each word.", "best_n": 0, "prediction_base": " Afraid that she had heard the poor animals' feelings.", "prediction_medium": " I'm afraid that she had hurt the poor animal's feelings.", "prediction_large_v3": " Afraid that she had hurt the poor animal's feelings." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "So, the sentence \"afraid that she had hurt the poor animal's feelings\" has a total of 8 homophones.", "best_n": 0, "prediction_base": " A phrase that she had hurt the poor animal's feelings.", "prediction_medium": " Afraid that she had hurt the poor animal's feelings.", "prediction_large_v3": " 6. A-F-A-R-E-D-E-T-H-E-T-H-E-L-L-E-N-G-O-T-T-A-R-E-T-Y-T-E-T-T-A-R-E-T-I-N-G-O-T-T-A-R-E-T-I-N-G-O-T-T-A-R-E-T-I-N-G-O-T-T-A. 6." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "Afraid: afraid, afraid\nThat: that, which\nShe: she, her\nHad: had, have\nHurt: hurt, have\nPoor: poor, pore\nAnimal: animal, animál\nFeelings: feelings, feeling", "best_n": 0, "prediction_base": " Afraid that she had hurt the pore그램AlwaysFeelings", "prediction_medium": " afraid that she had hurt the pore animals feelings", "prediction_large_v3": " Afraid that she had hurt the poor animal's feelings" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any other questions.", "best_n": 0, "prediction_base": " Afraid that she had hurt the poor animal's feelings?", "prediction_medium": " I'm afraid that she had hurt the poor animal's feelings.", "prediction_large_v3": " Afraid that she had hurt the poor animal's feelings." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "afraid: afraid/affected/effected\nthat: that/which\nshe: she/he\nhad: had/have\nhurt: hurt/harm\npoor: poor/pore\nanimal's: animal's/animals\nfeelings: feelings/fellings", "best_n": 0, "prediction_base": " Afraid that she had hurt the poor animals' feelings?", "prediction_medium": " afraid that she had hurt the poor animal's feelings.", "prediction_large_v3": " afraid that she had hurt the poor animal's feelings" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* afraid: afeard, afraid\n* that: thou (archaic), that (standard)\n* she: shoe\n* had: ha(d)\n* hurt: hurting, hert\n* poor: poure\n* animal's: animal's (possessive), animalls (archaic)\n* feelings: feelins", "best_n": 0, "prediction_base": " afraid that she had hurt the poor animals' feelings", "prediction_medium": " afraid that she had hurt the poor animal's feelings.", "prediction_large_v3": " afraid that she had hurt the poor animal's feelings" }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n afraid that she had hurt the poor animal's feelings [/INST]", "segment_id": "AUD0000000468_S0000255", "text": "afraid that she had hurt the poor animal's feelings ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "I hope this helps! Let me know if you have any questions.", "best_n": 0, "prediction_base": " Afraid that she had hurt the poor animal's feelings?", "prediction_medium": " I'm afraid that she had hurt the poor animal's feelings.", "prediction_large_v3": " Afraid that she had hurt the poor animal's feelings." }, { "input": "[INST] <>\nPlease provide homophones of each word in the following sentence. <>\n\n i quite forgot you didn't like cats [/INST]", "segment_id": "AUD0000000468_S0000256", "text": "i quite forgot you didn't like cats ", "prompt_for_llm": "Please provide homophones of each word in the following sentence.", "prompt_for_whisper": "* eye forgot you didn't like kits\n* quiet forgot you didn't like kits\n* forget you didn't like kits\n* you didn't like kits\n* didn't like kits\n* lark didn't like kits", "best_n": 0, "prediction_base": " I quite forgot you didn't like kitspción", "prediction_medium": " i quite forgot you didn't like cats", "prediction_large_v3": " i quite forgot you didn't like cats" }, { "input": null, "segment_id": "AUD0000000468_S0000256", "text": "i quite forgot you didn't like cats ", "prompt_for_llm": null, "prompt_for_whisper": null, "best_n": null, "prediction_base": " I quite forgot you didn't like cats.", "prediction_medium": " I quite forgot you didn't like cats.", "prediction_large_v3": " I quite forgot you didn't like cats.\"" } ]