Comments (10)
Hi @rylanchiu
Which version of records
are you using? The issue seems to be related with the version of this module. Check this.
The sqlova has tested with records=0.5.2
Thanks!
Wonseok
from sqlova.
@whwang299 Thanks for your reply. I have already downgraded it to 0.5.2
but the issue still exists.
from sqlova.
@rylanchiu I have downloaded & tested my code again but could't reproduce the error... Another possible cause could be the mismatch between (question, SQL)-data and corresponding table-data (e.g. using dev.table.jsonl
for train_tok.jsonl
). If this is not the case, I recommend you to measure only logical form accuracy .. as a temporary solution.
Wonseok
from sqlova.
@rylanchiu, I'm getting the same error. Any fixes that you can share?
from sqlova.
@jaurment , @rylanchiu Could you print and upload
tb[b], g_sc[b], g_sa[b], g_sql_i, nlu_q[b]
and corresponding nlu[b]
?
from sqlova.
It seems to break on the first example
tb[b]['id']: 2-13758945-2
g_sc[b]: 3
g_sa[b]: 0
g_sql_i[b]: {'sel': 3, 'conds': [[4, 0, '528']], 'agg': 0}
which corresponds to the nlu -- 'What lost has 528 as the points?'
Let me know if this helps or if you need more information. Can copy all of tb[b] if you need it
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I'm getting the same error. Any fixes that you can share?qwq
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I faced same issue but it got resolved after downgrading records
to 0.5.2
from sqlova.
I'm getting the same error. Any fixes that you can share?
from sqlova.
Did you try downgrading records
package to 0.5.2
?
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Related Issues (20)
- Typos in ReadMe.md
- How can I have a look at the ftable1.csv and ftable2.csv
- For real industrial application, what strategy to locate the exact table? HOT 1
- How to fine tune sequence-to-SQL?
- How do I use predict.py for custom data? HOT 2
- weird error occurs when run predict.py
- Testing models with predict.py does not give me any results file HOT 1
- Need of results_train.jsonl
- Standford coreNLP
- Training on custom data HOT 4
- Replicating dev results on BERT base
- Training doesn't run + how to predict with custom query? HOT 1
- Keras implementation of Column Attention
- Error with annotate_ws.py HOT 7
- Isuue in utlis.wikisql.py
- TypeError: 'Document' object is not iterable
- There is insufficient memory during training, and the get_wemb_bert function call in the train function applies for a lot of memory
- dbengine HOT 5
- How to use RoBERTa instead of BERT ?
- How can I evaluate the pre-trained model on WikiSQL? HOT 1
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