Datasets:

AITeamUIT
/

eval-gliner2-ner-mit_restaurant-affine-validation

label stringclasses 8 values	precision float64 0.74 0.98	recall float64 0.59 0.94	f1 float64 0.67 0.96	support int64 75 462	tp int64 64 431	fp int64 3 59	fn int64 8 119
AMENITY	0.883929	0.678082	0.767442	292	198	26	94
CUISINE	0.905923	0.846906	0.875421	307	260	27	47
DISH	0.910891	0.754098	0.825112	122	92	9	30
HOURS	0.899083	0.823529	0.859649	119	98	11	21
LOCATION	0.945175	0.9329	0.938998	462	431	25	31
PRICE	0.917808	0.893333	0.905405	75	67	6	8
RATING	0.795455	0.843373	0.818713	83	70	18	13
RESTAURANT_NAME	0.978571	0.938356	0.958042	146	137	3	9
AMENITY	0.772321	0.592466	0.670543	292	173	51	119
CUISINE	0.881533	0.824104	0.851852	307	253	34	54
DISH	0.881188	0.729508	0.798206	122	89	12	33
HOURS	0.788991	0.722689	0.754386	119	86	23	33
LOCATION	0.870614	0.859307	0.864924	462	397	59	65
PRICE	0.876712	0.853333	0.864865	75	64	9	11
RATING	0.738636	0.783133	0.760234	83	65	23	18
RESTAURANT_NAME	0.942857	0.90411	0.923077	146	132	8	14
AMENITY	0.883929	0.678082	0.767442	292	198	26	94
CUISINE	0.905923	0.846906	0.875421	307	260	27	47
DISH	0.910891	0.754098	0.825112	122	92	9	30
HOURS	0.899083	0.823529	0.859649	119	98	11	21
LOCATION	0.945175	0.9329	0.938998	462	431	25	31
PRICE	0.917808	0.893333	0.905405	75	67	6	8
RATING	0.795455	0.843373	0.818713	83	70	18	13
RESTAURANT_NAME	0.978571	0.938356	0.958042	146	137	3	9
AMENITY	0.772321	0.592466	0.670543	292	173	51	119
CUISINE	0.881533	0.824104	0.851852	307	253	34	54
DISH	0.881188	0.729508	0.798206	122	89	12	33
HOURS	0.788991	0.722689	0.754386	119	86	23	33
LOCATION	0.870614	0.859307	0.864924	462	397	59	65
PRICE	0.876712	0.853333	0.864865	75	64	9	11
RATING	0.738636	0.783133	0.760234	83	65	23	18
RESTAURANT_NAME	0.942857	0.90411	0.923077	146	132	8	14

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Collection including AITeamUIT/eval-gliner2-ner-mit_restaurant-affine-validation