mirror of
https://github.com/deepset-ai/haystack.git
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* Adapt to new dataset_from_dicts return signature * rename fn * Align similarity fn in benchmark doc store * Better choice of similarity fn * Increase postgres wait time * Add more expected returned variables * update benchmark results * Fix typo * update all benchmark runs * multiply stats by 100 * Specify similarity fns for website Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
58 lines
1.2 KiB
JSON
58 lines
1.2 KiB
JSON
{
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"params": {
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"full": {
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"retriever_doc_stores": [
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[
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"elastic",
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"elasticsearch"
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],
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[
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"dpr",
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"elasticsearch"
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],
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[
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"dpr",
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"faiss_flat"
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],
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[
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"dpr",
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"faiss_hnsw"
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]
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],
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"n_docs_options": [
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1000,
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10000,
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100000,
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500000
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],
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"n_queries": null
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},
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"ci": {
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"retriever_doc_stores": [
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[
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"elastic",
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"elasticsearch"
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]
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],
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"n_docs_options": [
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1000
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],
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"n_queries": 100
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}
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},
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"filenames": {
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"data_s3_url": "s3://ext-haystack-retriever-eval/",
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"data_dir": "../../data/retriever/",
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"filename_gold": "nq2squad-dev.json",
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"filenames_negative": {
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"10000": "psgs_w100_minus_gold_10k.tsv",
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"100000": "psgs_w100_minus_gold_100k.tsv",
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"1000000": "psgs_w100_minus_gold_1m.tsv"
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},
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"embeddings_dir": "embeddings/",
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"embeddings_filenames": {
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"10000": "wikipedia_passages_10k.pkl",
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"100000": "wikipedia_passages_100k.pkl",
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"1000000": "wikipedia_passages_1m.pkl"}
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}
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} |