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Editing Tables.json
Hey Param,
Thank you for the pointers in training editsql for a custom database. My question is on editing tables.json. As the format is presented,
{
"column_names": [
[
0,
"id"
],
[
0,
"name"
],
[
0,
"country code"
],
[
0,
"district"
],
.
.
.
What do the indices 0,1,2 etc. represent here?
glove.840B.300d.txt
Hi Param,
I followed all your step, but in addition I also downloaded the glove.840B.300d.txt and change the path in the corresponding run_sparc_edistql.sh file and test_sparc_editsql.sh file and when I run the run_sparc_edistql.sh file it gives me the following Error:
Loading Glove Embedding from /content/gdrive/MyDrive/practica/glove.840B.300d.txt
Traceback (most recent call last):
File "run.py", line 338, in <module>
main()
File "run.py", line 301, in main
data.anonymizer if params.anonymize and params.anonymization_scoring else None)
File "/content/gdrive/My Drive/practica/editsql/model/schema_interaction_model.py", line 49, in __init__
anonymizer)
File "/content/gdrive/My Drive/practica/editsql/model/model.py", line 149, in __init__
input_vocabulary_embeddings, output_vocabulary_embeddings, output_vocabulary_schema_embeddings, input_embedding_size = load_word_embeddings(input_vocabulary, output_vocabulary, output_vocabulary_schema, params)
File "/content/gdrive/My Drive/practica/editsql/model/model.py", line 98, in load_word_embeddings
glove_embeddings = read_glove_embedding(params.embedding_filename, glove_embedding_size)
File "/content/gdrive/My Drive/practica/editsql/model/model.py", line 91, in read_glove_embedding
embedding = np.array([float(val) for val in l_split[-embedding_size:]])
File "/content/gdrive/My Drive/practica/editsql/model/model.py", line 91, in <listcomp>
embedding = np.array([float(val) for val in l_split[-embedding_size:]])
ValueError: could not convert string to float: 'squeeze2'
Read prediction from logs_sparc_editsql/valid_use_predicted_queries_predictions.json
Number of predictions 1203
Eval result in logs_sparc_editsql/valid_use_predicted_queries_predictions.json.eval
Could you help me? If I don't change the directory in GLOVE_PATH and leave it as it is I also have problems.
Thank you in advance.
Do you have implemented SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
hello sir, if you have implemented this paper, can you please provide the code, it'll be helpful..thanks in advance.
output.txt adding personalised data
Hi Param,
When I add new databases following your procedures, and then prints the output.txt I see that it prints only the first "subquestion" of the first question (interaction). Same happens of course in the
valid_use_predicted_queries_predictions.json it just prints me the first sub-question. Could you help me understand what is happening and how to solve it? I modified the files exactly as explained by you, tried with different sqilte databeses but always got just the first subquestion.
Thank you in advance,
Imanuel
Didn't get how to edit dev.json and dev_no_value.json
Hi @Param-Raval. I have query regarding the custom database. You said we have to edit the dev.json and add our question but do we have to add the query(answer) too?
I will really appreciate if you can help me out
Error File not found
Hi @Param-Raval. Your article on medium was great but there is a slight problem, I did all the steps as you said but got an error. i would really appreciate if you can have a look into it. Thanks in advance.
This is the output and error. :))
size of output_vocab 37
output_vocab ['_UNK', '_EOS', '=', 'select', 'value', ')', '(', 'where', ',', 'count', 'group_by', 'order_by', 'distinct', 'and', 'limit_value', 'limit', 'desc', '>', 'avg', 'having', 'max', 'in', '<', 'sum', 'intersect', 'not', 'min', 'except', 'or', 'asc', 'like', '!=', 'union', 'between', '-', '+', '/']
Reading spider database schema file
num_database 166 140 20
total number of schema_tokens / databases: 166
read_data_json data/sparc/train_no_value.json 3034
read_data_json data/sparc/dev_no_value.json 422
interaction_list length 160
train interaction: 3024
dev interaction: 422
Traceback (most recent call last):
File "run.py", line 12, in <module>
from data_util import atis_data
File "/content/drive/My Drive/editsql/data_util/atis_data.py", line 7, in <module>
from . import atis_batch
File "/content/drive/My Drive/editsql/data_util/atis_batch.py", line 5, in <module>
from . import sql_util
File "/content/drive/My Drive/editsql/data_util/sql_util.py", line 2, in <module>
import pymysql
ModuleNotFoundError: No module named 'pymysql'
Read prediction from logs_sparc_editsql/valid_use_predicted_queries_predictions.json
Traceback (most recent call last):
File "postprocess_eval.py", line 466, in <module>
predictions = read_prediction(pred_file)
File "postprocess_eval.py", line 384, in read_prediction
with open(pred_file) as f:
FileNotFoundError: [Errno 2] No such file or directory: 'logs_sparc_editsql/valid_use_predicted_queries_predictions.json'
dev_use_predicted_queries_predictions.json.
Hi Param,
I am trying to run: bash test_sparc_editsql.sh but I don't see it creating a file called dev_use_predicted_queries_predictions.json, do you know why? Because in your article on towardsdatascience you say that it is supposed to save the prediction in that Json file. For this reason of course I also cannot run the output.py since the given json file doesn't exist. Do you know why this strange behaviour? When I run: bash test_sparc_editsql.sh it seemes that the model run well without any problem.
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