Comments (5)
It's timing out trying to download model:
java.net.ConnectException: Connection timed out (Connection timed out)
GitHub has been flaky all day... this is why we've been getting test failures. Skip tests for now and then circle back?
from anserini.
Thanks for your reply. I can skip the tests and build it successfully. But it still needs download some files when I do searching, like:
target/appassembler/bin/SearchCollection -index indexes/msmarco-passage/lucene-index-msmarco -topics collections/msmarco-passage/queries.dev.small.tsv -topicreader TsvInt -output runs/run.msmarco-passage.dev.small.tsv -format msmarco -parallelism 4 -bm25 -bm25.k1 0.82 -bm25.b 0.68 -hits 1000
This command will download the topic file. On my side it is failed due to Connection timed out
.
However, I can download the failed resource by wget
, but I don't where to put these manually downloaded files
. Is it possible for me to download the files before the start of building anserini
? with the pre-downloaded files, can I build it bypassing the Connection timed out
error? Thanks.
from anserini.
Downloaded files go in ~/.cache/anserini
- but GitHub seems to have recovered, so build with test should complete now.
from anserini.
@lintool ,
Thanks, I found it was the GCP network setting problem. It can be built now.
from anserini.
Glad it's resolved. Closing.
from anserini.
Related Issues (20)
- Incorporate jtreceval directly into our repo HOT 3
- Jank in HNSW and InvertedDense search: -threads and -parallelism
- Test failure → Build failure HOT 3
- Upgrade to Lucene 9.9 HOT 13
- Enable recursive graph bisection?
- Lucene 9.9: Benchmark HNSW improvements HOT 11
- Lucene 9.9: Benchmark sparse improvements HOT 1
- Counter-intuitive result: more RAM = slower indexing (standard inverted indexes) HOT 3
- Integrate jtreceval into Anserini HOT 2
- Add ability to download pre-built indexes HOT 3
- Unable to run BEIR (v1.0.0): SPLADE++ CoCondenser-EnsembleDistil regressions HOT 1
- Iterator Design Pattern concerns
- Chain of Responsibility Pattern concerns
- Strategy Design Pattern concerns
- Reproduce "End-to-End Retrieval with Learned Dense and Sparse Representations Using Lucene" with pre-built indexes HOT 1
- Basic rank fusion implementation in Anserini HOT 1
- SearchCollection -rf.qrels option HOT 1
- Errors with openai-ada2-int8 regressions: GCLocker errors HOT 4
- error
- Cache path change
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from anserini.