Datasets:

AITeamUIT
/

eval-gliner2-ner-mit_restaurant-affine-test

label stringclasses 8 values	precision float64 0.71 0.97	recall float64 0.63 0.94	f1 float64 0.69 0.94	support int64 171 812	tp int64 144 736	fp int64 12 82	fn int64 10 197
AMENITY	0.917293	0.686679	0.785408	533	366	33	167
CUISINE	0.87666	0.868421	0.872521	532	462	65	70
DISH	0.922747	0.746528	0.825336	288	215	18	73
HOURS	0.832512	0.79717	0.814458	212	169	34	43
LOCATION	0.962092	0.906404	0.933418	812	736	29	76
PRICE	0.930636	0.94152	0.936047	171	161	12	10
RATING	0.811404	0.920398	0.862471	201	185	43	16
RESTAURANT_NAME	0.968421	0.915423	0.941176	402	368	12	34
AMENITY	0.842105	0.630394	0.72103	533	336	63	197
CUISINE	0.844402	0.836466	0.840415	532	445	82	87
DISH	0.88412	0.715278	0.790787	288	206	27	82
HOURS	0.70936	0.679245	0.693976	212	144	59	68
LOCATION	0.895425	0.843596	0.868738	812	685	80	127
PRICE	0.872832	0.883041	0.877907	171	151	22	20
RATING	0.758772	0.860697	0.806527	201	173	55	28
RESTAURANT_NAME	0.902632	0.853234	0.877238	402	343	37	59
AMENITY	0.917293	0.686679	0.785408	533	366	33	167
CUISINE	0.87666	0.868421	0.872521	532	462	65	70
DISH	0.922747	0.746528	0.825336	288	215	18	73
HOURS	0.832512	0.79717	0.814458	212	169	34	43
LOCATION	0.962092	0.906404	0.933418	812	736	29	76
PRICE	0.930636	0.94152	0.936047	171	161	12	10
RATING	0.811404	0.920398	0.862471	201	185	43	16
RESTAURANT_NAME	0.968421	0.915423	0.941176	402	368	12	34
AMENITY	0.842105	0.630394	0.72103	533	336	63	197
CUISINE	0.844402	0.836466	0.840415	532	445	82	87
DISH	0.88412	0.715278	0.790787	288	206	27	82
HOURS	0.70936	0.679245	0.693976	212	144	59	68
LOCATION	0.895425	0.843596	0.868738	812	685	80	127
PRICE	0.872832	0.883041	0.877907	171	151	22	20
RATING	0.758772	0.860697	0.806527	201	173	55	28
RESTAURANT_NAME	0.902632	0.853234	0.877238	402	343	37	59

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