haystack/test/benchmarks/config.json
Branden Chan f3a3b73d9b
Choose correct similarity fns during benchmark runs & re-run benchmarks (#773)
* 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>
2021-02-03 11:45:18 +01:00

58 lines
1.2 KiB
JSON

{
"params": {
"full": {
"retriever_doc_stores": [
[
"elastic",
"elasticsearch"
],
[
"dpr",
"elasticsearch"
],
[
"dpr",
"faiss_flat"
],
[
"dpr",
"faiss_hnsw"
]
],
"n_docs_options": [
1000,
10000,
100000,
500000
],
"n_queries": null
},
"ci": {
"retriever_doc_stores": [
[
"elastic",
"elasticsearch"
]
],
"n_docs_options": [
1000
],
"n_queries": 100
}
},
"filenames": {
"data_s3_url": "s3://ext-haystack-retriever-eval/",
"data_dir": "../../data/retriever/",
"filename_gold": "nq2squad-dev.json",
"filenames_negative": {
"10000": "psgs_w100_minus_gold_10k.tsv",
"100000": "psgs_w100_minus_gold_100k.tsv",
"1000000": "psgs_w100_minus_gold_1m.tsv"
},
"embeddings_dir": "embeddings/",
"embeddings_filenames": {
"10000": "wikipedia_passages_10k.pkl",
"100000": "wikipedia_passages_100k.pkl",
"1000000": "wikipedia_passages_1m.pkl"}
}
}