ansonb / recon Goto Github PK

Hi, thanks for your paper and code. I downloaded the data and have put in ./data/ accordingly. However, I couldn't find these files in your repo. I am running this on colab.
The GAT folder is in the main directory of this code and doesn't contain the missing file. Could you please upload any missing files?
Thanks

ERROR:root:No list found. [Errno 2] No such file or directory: '../resources/property_blacklist.txt'
ERROR:root:No list found. [Errno 2] No such file or directory: '../../resources/property_blacklist.txt'
ERROR:root:No list found. [Errno 2] No such file or directory: '../resources/property_blacklist.txt'
ERROR:root:No list found. [Errno 2] No such file or directory: '../../resources/property_blacklist.txt'
Traceback (most recent call last):
  File "train.py", line 410, in <module>
    train()
  File "train.py", line 102, in train
    W_ent2rel_all_rels = np.load(w_ent2rel_all_rels_file)
  File "/usr/local/lib/python3.7/dist-packages/numpy/lib/npyio.py", line 416, in load
    fid = stack.enter_context(open(os_fspath(file), "rb"))
FileNotFoundError: [Errno 2] No such file or directory: './models/GAT/WikipediaWikidataDistantSupervisionAnnotations/W_ent2rel.json.npy'

firstly thanks for your sharing. I'm having some problems running the code. as follows:

FileNotFoundError: [Errno 2] No such file or directory: '../data/WikipediaWikidataDistantSupervisionAnnotations.v1.0/2hop.pickle'_**

The corresponding code in the project:
### args.add_argument("-g1hop", "--get_1hop", type=bool, default=False)
args.add_argument("-g2hop", "--get_2hop", type=bool, default=False)
args.add_argument("-u2hop", "--use_2hop", type=bool, default=True)
args.add_argument("-u1hop", "--use_1hop", type=bool, default=True)

if(args.use_2hop):
print("Opening node_neighbors pickle object")
file = args.data + "/2hop.pickle"
with open(file, 'rb') as handle:
node_neighbors_2hop = pickle.load(handle)
file = args.data + "/2hop_test.pickle"
with open(file, 'rb') as handle:
node_neighbors_2hop_test = pickle.load(handle)
Corpus_.node_neighbors_2hop = node_neighbors_2hop
Corpus_.node_neighbors_2hop_test = node_neighbors_2hop_test

I don't know how to generate the corresponding file???????

Hi,

thank you for your valuable work!

I was wondering how come the dataset_triples_train.json file contains 570,084 examples, while in the paper it is indicated 455,771?

Best,
Andrei

Could you provide the macro_pr and micro_pr result on Wikidata Dataset please?

Hello, when I python train.py, it raised the error AttributeError: 'str' object has no attribute 'property2idx'.So I looked up models.py and I found that indeed RECON doesn't have attribute "property2idx". I wonder if its my problem? Can I change property_index to any folder?

When I run the train.py, it occurs the error as follows:
FileNotFoundError: [Errno 2] No such file or directory: 'model_params.json'

Is it a problem with the scikit-learn version?
If it is which version should be downloaded

I found that there are many duplicated triplets in 'train.txt', 'valid.txt' and 'test.txt' you use.
Does it lead to a leakage?

Where are the files final_entity_embeddings.json, final_relation_embeddings.json and W_ent2rel.json.npy?

Hi,

I am currently looking into your great work. I download the data and the code but find it will take too much time even with GPUs to train the model. So I am wondering whether a pre-trained model (RECON, or RECON_EAC, etc.) can be provided? Many thanks.

Dennis

Hello, I reread your paper, and I'd like to try deploying your model in my work. But I need to create a domain dataset. So what should I prepare for the dataset?

Hello, what is the difference between wikidata and NYT data sets? Why use different indicators?

Hello, I would like to modify the NYT dataset, do you have a script to generate the files it uses?

Hello, when model = Recon is final_ relation_ embeddings. JSON and W_ ent2rel. json. NPY are these two files available? I didn't find these two files in your wikidata

您好，请问NTY的评价指标的代码可以公布一下吗？

Hello, after serveral days of debugging, I have found many bugs in your code.
I'd like to share them with other people, and I hope you can fix them.
(1)Tons of file path errors which I don't want to list here.
(2)models/models.py

Why you use nn.Parameter to create 'init_gat_relation_embeddings' here? Moreover, why you set 'requires_grad=True'?
(3)GAT_seq_space/main.py

• set '--get_1hop' and '--get_2hop' to True on your first run.

'outfolder' is not defined...^^

I don't know why you write these.
The proper code is

model_gat.load_state_dict(torch.load(
        os.path.join(args.output_folder, 'trained_{}.pth'.format(args.epochs_gat - 1))))

the same bug also exists on many other lines...

(4)train.py
Too many...I just wanna list some of them

• lines 54 - 66
  Code here is not complete, resulting a lot of 'not defined' errors.
• A lot of inappropriate using, like

torch.from_numpy(***.astype(int))

• Did you really train this model with ONLY 10 epochs? Seriously?
• File paths written in fron are all about wikidata, and then you load data using data='nyt'... ^^
  I know it's not a big deal, but I seems to prove that your code is ..... :(
  (5)Tons of other bugs that I have fixed and forgotten

Thanks a lot if you can fix them all :)
And it will be more thankful if you can write CLEARLY how to run your code in README.md 👍

Hello, your work has benefited me a lot. I want to ask what the category of wikidata is (like P106: Occupation), not just p106. Where can I find the specific category

I downloaded your files, but some files are not displayed. Can you give me some advice

Traceback (most recent call last):
File "main.py", line 276, in
word_vocab, char_vocab, word_embed_matrix = build_vocab(args, entities_context_data, save_vocab, embedding_file)
File "main.py", line 187, in build_vocab
with open(save_path[0],'r') as f:
FileNotFoundError: [Errno 2] No such file or directory: './vocab.json'

please upload the missing file
thanks