cp500/tokenized_medical_NER · Datasets at Hugging Face

tokens sequence	ner_tags sequence	input_ids sequence	token_type_ids sequence	attention_mask sequence	labels sequence
[ "משככי", "כאבים", "ללא", "מרשם", ",", "הידר", "##ציה", "ופג", "##ישת", "מעקב", "שבועיים", "הערת", "הרופא", ":", "אברהם", "יצחק", "הגיש", "תלונה", "על", "כאב", "ראש", "חמור", "וכאבי", "בטן", ".", "על", "בדיקה", ",", "אבח", "##נתי", "אותו", "עם", "מיגרנה", "וכאבים", "במערכת", "העיכול", ".", "רשמתי", "משככי", "כאבים", "ללא", "מרשם", "להקלה", "מיידית", ".", "בנוסף", ",", "המלצתי", "לו", "להישאר", "התיי", "##בש", "וקבע", "פגישת", "מעקב", "למשך", "שבועיים", "כדי", "להבטיח", "את", "מצבו", "משתפר", ".", "שימו", "לב", "לחשיבות", "של", "מעקב", "אחר", "תסמינים", "ושמירה", "על", "תקשורת", "עם", "משרד", "כדי", "להבטיח", "טיפול", "והתא", "##וששות" ]	[ 8, 8, 8, 8, 16, 8, 8, 16, 16, 16, 16, 16, 16, 16, 3, 3, 16, 16, 16, 13, 13, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 5, 16, 16, 16, 16, 16, 8, 8, 8, 8, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16 ]	[ 1, 82109, 32473, 23744, 43601, 43, 46728, 34, 34, 24816, 12731, 42523, 34, 34, 31725, 30352, 29637, 46605, 31006, 57, 25467, 24713, 37837, 36210, 23125, 27948, 23456, 30381, 80774, 32596, 45, 23125, 28362, 43, 61240, 34, 34, 27721, 23496, 23179, 72218, 90544, 26803, 40294, 45, 60645, 82109, 32473, 23744, 43601, 58383, 33685, 45, 25010, 43, 79908, 23409, 28305, 64171, 34, 34, 23190, 48626, 39233, 30352, 29956, 29637, 23459, 30053, 23108, 33232, 68545, 45, 26995, 23230, 65191, 23102, 30352, 23706, 40547, 52230, 23125, 25729, 23179, 24325, 23459, 30053, 24484, 35146, 34, 34, 59779, 23099, 2 ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ -100, 8, 8, 8, 8, 16, 8, 8, -100, -100, -100, 16, 16, -100, -100, 16, 16, 16, 16, 16, 3, 3, 16, 16, 16, 13, 13, 16, 16, 16, 16, 16, 16, 16, 16, 16, -100, -100, 16, 16, 5, 16, 16, 16, 16, 16, 8, 8, 8, 8, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, -100, -100, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, -100, -100, -100, -100 ]
[ "רפואית", ":", "mm", "##123", "##45", "-", "מספר", "מוטב", "תוכנית", "הבריאות", ":", "hc", "##123", "##45", "מידע", "של", "הרופא", ":", "-", "שם", ":", "ד", "\"", "ר", "מרדכי", "אלקל", "##אי", "-", "התמחות", ":", "גסטרואנטרולוגיה", "-", "מרפאה", ":", "מרפאת", "גסטרואנטרולוגיה", "בתל", "אביב", "-", "כתובת", ":", "רחוב", "הירקון", "23", ",", "תל", "אביב", ",", "ישראל", "-", "מספר", "טלפון", ":", "03", "-", "756", "-", "467", "##8", "-", "כתובת", "דוא", "\"", "ל", ":", "ma", "@", "telaviv", "##di", "##gest", "##ive", "##center", ".", "com", "אנא", "ספק", "לי", "מידע", "רפואי", "מפורט" ]	[ 16, 16, 10, 10, 10, 16, 16, 16, 16, 16, 16, 10, 10, 10, 16, 16, 16, 16, 16, 16, 16, 3, 3, 3, 3, 3, 3, 16, 16, 16, 16, 16, 16, 16, 0, 0, 0, 0, 16, 16, 16, 7, 7, 7, 7, 7, 7, 7, 7, 16, 16, 16, 16, 4, 4, 4, 4, 4, 4, 16, 16, 16, 16, 16, 16, 9, 9, 9, 9, 9, 9, 9, 9, 9, 16, 16, 16, 16, 16, 16 ]	[ 1, 27573, 57, 52645, 34, 34, 36872, 34, 34, 25755, 44, 23777, 43131, 25759, 25605, 57, 74738, 34, 34, 36872, 34, 34, 25755, 24033, 23102, 31006, 57, 44, 23512, 57, 577, 33, 598, 28873, 52330, 34, 34, 23169, 44, 33279, 57, 97780, 44, 56530, 57, 47907, 97780, 24995, 23755, 44, 25877, 57, 27699, 44563, 24357, 43, 23632, 23755, 43, 23383, 44, 23777, 25783, 57, 25117, 44, 122748, 44, 98672, 34, 34, 55, 44, 25877, 26167, 33, 586, 57, 30184, 63, 57828, 34, 34, 28595, 34, 34, 95327, 12773, 34, 34, 47333, 12745, 34, 34, 37482, 45, 24282, 27168, 24835, 23195, 24033, 26782, 32697, 2 ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ -100, 16, 16, 10, 10, -100, -100, 10, -100, -100, 16, 16, 16, 16, 16, 16, 10, 10, -100, -100, 10, -100, -100, 16, 16, 16, 16, 16, 16, 16, 3, 3, 3, 3, 3, 3, -100, -100, 16, 16, 16, 16, 16, 16, 16, 0, 0, 0, 0, 16, 16, 16, 7, 7, 7, 7, 7, 7, 7, 7, 16, 16, 16, 16, 4, 4, 4, 4, 4, 4, -100, -100, 16, 16, 16, 16, 16, 16, 9, 9, 9, 9, -100, -100, 9, -100, -100, -100, 9, -100, -100, -100, 9, -100, -100, 9, 9, 16, 16, 16, 16, 16, 16, -100 ]
[ "2023", ":", "מטופלת", "בת", "40", "עם", "היסטוריה", "של", "יתר", "לחץ", "דם", "וסוכרת", "מציגה", "מחלקת", "החירום", "עקב", "כאבים", "בחזה", ".", "הכאב", "התחיל", "בפתאומיות", "בזמן", "שהיא", "הייתה", "עבודה", ",", "היא", "קבועה", "וממוק", "##מת", "בצד", "שמאל", "של", "החזה", "שלה", ".", "מספר", "רשומה", "רפואית", ":", "123", "##456789", "מספר", "מוטב", "תוכנית", "הבריאות", ":", "654", "##32", "##1987", "פרטי", "המטופל", ":", "שם", ":", "רחל", "כהן", "תאריך", "לידה", ":", "01", "-", "01", "-", "1981", "כתובת", ":", "תל", "אביב", ",", "ישראל", "כתובת", "דוא", "\"", "ל", ":", "rachel", "_", "cohen" ]	[ 16, 16, 16, 16, 11, 16, 16, 16, 15, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 10, 10, 16, 16, 16, 16, 16, 10, 10, 10, 16, 16, 16, 16, 16, 3, 3, 16, 16, 16, 12, 12, 12, 12, 12, 16, 16, 0, 0, 0, 0, 16, 16, 16, 16, 16, 9, 9, 9 ]	[ 1, 72699, 57, 62830, 23216, 24842, 23179, 26888, 23102, 27262, 25395, 26442, 123572, 35198, 29783, 48455, 25406, 32473, 54408, 45, 32811, 28082, 81457, 24384, 24059, 24010, 23999, 43, 23297, 35319, 60944, 34, 34, 23183, 27089, 26176, 23102, 41125, 23559, 45, 23777, 38980, 27573, 57, 36872, 34, 34, 90748, 59014, 23777, 43131, 25759, 25605, 57, 107658, 34, 34, 25766, 34, 34, 37711, 25042, 33623, 57, 23512, 57, 28741, 24661, 27142, 28604, 57, 25381, 44, 25381, 44, 34641, 25877, 57, 23632, 23755, 43, 23383, 25877, 26167, 33, 586, 57, 100903, 68, 50417, 2 ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ -100, 16, 16, 16, 16, 11, 16, 16, 16, 15, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, -100, -100, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 10, 10, -100, -100, -100, 16, 16, 16, 16, 16, 10, 10, -100, -100, 10, -100, -100, 16, 16, 16, 16, 16, 3, 3, 16, 16, 16, 12, 12, 12, 12, 12, 16, 16, 0, 0, 0, 0, 16, 16, 16, 16, 16, 9, 9, 9, -100 ]
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Datasets:

cp500
/

tokenized_medical_NER

Dataset Card for "tokenized_medical_NER"