Datasets:

AITeamUIT
/

eval-gliner2-ner-mit_restaurant-boundary-smoothing-validation

label stringclasses 8 values	precision float64 0.77 0.99	recall float64 0.59 0.91	f1 float64 0.67 0.95	support int64 75 462	tp int64 61 422	fp int64 2 53	fn int64 9 121
AMENITY	0.889908	0.664384	0.760784	292	194	24	98
CUISINE	0.920152	0.788274	0.849123	307	242	21	65
DISH	0.923913	0.696721	0.794393	122	85	7	37
HOURS	0.896226	0.798319	0.844444	119	95	11	24
LOCATION	0.946188	0.91342	0.929515	462	422	24	40
PRICE	0.929577	0.88	0.90411	75	66	5	9
RATING	0.835443	0.795181	0.814815	83	66	13	17
RESTAURANT_NAME	0.985185	0.910959	0.946619	146	133	2	13
AMENITY	0.784404	0.585616	0.670588	292	171	47	121
CUISINE	0.904943	0.775244	0.835088	307	238	25	69
DISH	0.891304	0.672131	0.766355	122	82	10	40
HOURS	0.792453	0.705882	0.746667	119	84	22	35
LOCATION	0.881166	0.850649	0.865639	462	393	53	69
PRICE	0.901408	0.853333	0.876712	75	64	7	11
RATING	0.772152	0.73494	0.753086	83	61	18	22
RESTAURANT_NAME	0.962963	0.890411	0.925267	146	130	5	16
AMENITY	0.889908	0.664384	0.760784	292	194	24	98
CUISINE	0.920152	0.788274	0.849123	307	242	21	65
DISH	0.923913	0.696721	0.794393	122	85	7	37
HOURS	0.896226	0.798319	0.844444	119	95	11	24
LOCATION	0.946188	0.91342	0.929515	462	422	24	40
PRICE	0.929577	0.88	0.90411	75	66	5	9
RATING	0.835443	0.795181	0.814815	83	66	13	17
RESTAURANT_NAME	0.985185	0.910959	0.946619	146	133	2	13
AMENITY	0.784404	0.585616	0.670588	292	171	47	121
CUISINE	0.904943	0.775244	0.835088	307	238	25	69
DISH	0.891304	0.672131	0.766355	122	82	10	40
HOURS	0.792453	0.705882	0.746667	119	84	22	35
LOCATION	0.881166	0.850649	0.865639	462	393	53	69
PRICE	0.901408	0.853333	0.876712	75	64	7	11
RATING	0.772152	0.73494	0.753086	83	61	18	22
RESTAURANT_NAME	0.962963	0.890411	0.925267	146	130	5	16

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Collection including AITeamUIT/eval-gliner2-ner-mit_restaurant-boundary-smoothing-validation