About the datas in the example about neuronlp2 HOT 2 CLOSED

Hi,
I am sorry that due to the data licence, I cannot share the data publicly.
But I can show examples of the data to illustrate the format of the data files.

Part-of-speech tagging and dependency parsing data follows the CoNLL-X format:

1 The _ DT DT _ 2 NMOD
2 company _ NN NN _ 3 SUB
3 had _ VB VBD _ 0 ROOT
4 sought _ VB VBN _ 3 VC
5 increases _ NN NNS _ 4 OBJ
6 totaling _ VB VBG _ 5 NMOD
7 $ _ $ $ _ 13 P
8 80.3 _ CD CD _ 7 AMOD
9 million _ CD CD _ 7 AMOD
10 , _ , , _ 13 P
11 or _ CC CC _ 13 NMOD
12 22 _ CD CD _ 13 NMOD
13 % _ NN NN _ 6 OBJ
14 . _ . . _ 3 P

1 The _ DT DT _ 2 NMOD
2 decision _ NN NN _ 3 SUB
3 was _ VB VBD _ 0 ROOT
4 announced _ VB VBN _ 3 VC
5 after _ IN IN _ 4 VMOD
6 trading _ NN NN _ 7 SUB
7 ended _ VB VBD _ 5 SBAR
8 . _ . . _ 3 P

The NER data examples are in the following:

1 CRICKET NNP I-NP O
2 - : O O
3 LEICESTERSHIRE NNP I-NP B-ORG
4 TAKE NNP I-NP O
5 OVER IN I-PP O
6 AT NNP I-NP O
7 TOP NNP I-NP O
8 AFTER NNP I-NP O
9 INNINGS NNP I-NP O
10 VICTORY NN I-NP O
11 . . O O

1 By IN I-PP O
2 stumps NNS I-NP O
3 Kent NNP B-NP B-ORG
4 had VBD I-VP O
5 reached VBN I-VP O
6 108 CD I-NP O
7 for IN I-PP O
8 three CD I-NP O
9 . . O O

from neuronlp2.

thank you very much

from neuronlp2.