Comments (2)
!python -m pyserini.encode input --corpus tests/resources/simple_cacm_corpus.json --fields text --delimiter "\n" --shard-id 0 --shard-num 1 output --embeddings path/to/output/dir encoder --encoder castorini/tct_colbert-v2-hnp-msmarco --fields text --batch 32 --fp16
simple_cacm_corpus.json is as follows:
{ "id": "doc1", "contents": "www.url.com\ntitle\nthis is the contents.\ndocument expansion"}
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oh I forget the fields !python -m pyserini.encode input --corpus tests/resources/simple_cacm_corpus.json --fields url title text expand --delimiter "\n" --shard-id 0 --shard-num 1 output --embeddings path/to/output/dir --to-faiss encoder --encoder castorini/tct_colbert-v2-hnp-msmarco --fields text --batch 32 --fp16
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Related Issues (20)
- mContriever pre-built index for Mr.TyDi datasets
- Support for jsonl.gz input in pyserini.encode
- Optimizations when building a dense index
- Improper Contriever encoding with the current pyserini.encode class
- Error When Setting Up Pyserini: python -m spacy download en_core_web_sm
- Issue with fetching raw documents
- Create a `Rerank` module in Pyserini
- Contriever training script & hyper-parameter values
- Trying to index own corpus
- Lucene query runtime
- Exception: Unable to find javac HOT 1
- NEED HELP: How to get original documents from Faiss index?
- Enhance Onboarding Documentation: Highlight Existing Embedded Indexes
- Update docs about fetching doc text given docid for dense indexes HOT 1
- Missing module 'jnius_config'
- List of encoder supported
- Searcher should add an "normalize" argument? HOT 1
- Update documentation: how to clean up partial downloads of prebuilt index
- Integrate Arctic embeddings into pyserini
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