Skip to content

Releases: osoblanco/Query-Answering-In-Knowledge-Space

Valid and test queries with 1p queries for Q2B evaluation

03 Nov 17:32

Choose a tag to compare

To test a model on 1p queries, specify 1_1 as the query type. For example:

python continuous.py --model_path models/FB15k-237-model-rank-500-epoch-100-1602506111.pt --dataset FB15k-237 --dataset_mode test --chain_type 1_1

valid+test FB15k, FB15k-237, NELL triples from Q2B

05 Oct 17:28

Choose a tag to compare

These triples were obtained from the Q2B datasets and can be used to train and evaluate for the case of 1p queries.

NELL triples for KBC, and queries

29 Sep 09:53

Choose a tag to compare

Download NELL.zip to kbc/data and decompress.

With the root of the repository as the current directory, train ComplEx with

python -m kbc.learn kbc/data/NELL --model ComplEx --max_epochs 50 --model_save_schedule 10 --valid 1 --reg 1e-2 --batch_size 1024 --rank 500

0.6: Merge pull request #1 from dfdazac/master

16 Sep 17:55
34948e5

Choose a tag to compare

Sample queries that rely on at least 1 test triple

Converting Q2B data to RCQA format

30 Aug 00:22

Choose a tag to compare

This release includes the notebook for the conversion of the data from the Q2B (https://github.com/hyren/query2box) format tot he one used in our implementation, along with the converted files.

In order to use the notebook either put it in the /data of the query2box repo or kindly change the paths designated in the code.