ONNX-Demo / pyserini /encoded_query_info.py
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#
# Pyserini: Reproducible IR research with sparse and dense representations
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
QUERY_INFO = {
"aggretriever-cocondenser-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by aggretriever-cocondenser",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-aggretriever-cocondenser-msmarco-passage-dev-subset-20230407-f627ef.tar.gz"
],
"md5": "c30ad20c7b101e3034f41597f0fc1f67",
"size (bytes)": 20859862,
"total_queries": 6980,
"downloaded": False
},
"aggretriever-distilbert-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by aggretriever-distilbert",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-aggretriever-distilbert-msmarco-passage-dev-subset-20230407-f627ef.tar.gz"
],
"md5": "a6ee094bd681b08e5657ce69185eee82",
"size (bytes)": 20771767,
"total_queries": 6980,
"downloaded": False
},
"tct_colbert-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by TCT-ColBERT",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-tct_colbert-msmarco-passage-dev-subset-20210419-9323ec.tar.gz",
],
"md5": "b2fe6494241639153f26cc61acf3b39d",
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"total_queries": 6980,
"downloaded": False
},
"tct_colbert-v2-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by TCT-ColBERT V2",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-tct_colbert-v2-msmarco-passage-dev-subset-20210608-5f341b.tar.gz",
],
"md5": "ee8d76e596aef02c5027a2ffd0ff66f8",
"size (bytes)": 20072992,
"total_queries": 6980,
"downloaded": False
},
"tct_colbert-v2-hn-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by TCT-ColBERT V2 HN",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-tct_colbert-v2-hn-msmarco-passage-dev-subset-20210608-5f341b.tar.gz",
],
"md5": "f7e39cf2cd3ee53f7f8f2e0a1821431c",
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"total_queries": 6980,
"downloaded": False
},
"tct_colbert-v2-hnp-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by TCT-ColBERT V2 HN+",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-tct_colbert-v2-hnp-msmarco-passage-dev-subset-20210608-5f341b.tar.gz",
],
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"downloaded": False
},
"tct_colbert-v2-hnp-dl19-passage": {
"description": "TREC DL19-passage queries encoded by TCT-ColBERT V2 HN+",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-tct_colbert-v2-hnp-dl19-passage-20230124-99b795.tar.gz",
],
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"total_queries": 43,
"downloaded": False
},
"tct_colbert-v2-hnp-dl20": {
"description": "TREC DL20 queries encoded by TCT-ColBERT V2 HN+",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-tct_colbert-v2-hnp-dl20-passage-20230124-99b795.tar.gz",
],
"md5": "b940d3d38cf5a50a9467a4aa7a59d226",
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"downloaded": False
},
"ance-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by ANCE",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-ance-msmarco-passage-dev-subset-20210419-9323ec.tar.gz",
],
"md5": "adad81bb1495eff2f0463e809ecc01b8",
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"downloaded": False
},
"ance-dl19-passage": {
"description": "TREC DL19 passage queries encoded by ANCE",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-ance-dl19-passage-20230124-99b79.tar.gz",
],
"md5": "828714ef5481dc49686e14b61881ba06",
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"total_queries": 43,
"downloaded": False
},
"ance-dl20": {
"description": "TREC DL20 queries encoded by ANCE",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-ance-dl20-passage-20230124-99b79.tar.gz",
],
"md5": "79acea9812a5c20d0d0817b07b348d15",
"size (bytes)": 574183,
"total_queries": 200,
"downloaded": False
},
"tct_colbert-msmarco-doc-dev": {
"description": "MS MARCO Document dev set queries encoded by TCT-ColBERT zero-shot",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-tct_colbert-msmarco-doc-dev-20210419-9323ec.tar.gz",
],
"md5": "565fe57f92b229643b68fa3263f089a9",
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"downloaded": False
},
"ance_maxp-msmarco-doc-dev": {
"description": "MS MARCO Document dev set queries encoded by ANCE maxp",
"urls": [
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],
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"downloaded": False
},
"sbert-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by SBERT",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-sbert-msmarco-passage-dev-subset-20210419-9323ec.tar.gz",
],
"md5": "dc0d09a0f5803824c1ad46a39417aa1e",
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"downloaded": False
},
"distilbert_kd-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by SBERT",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-distilbert_kd-msmarco-passage-dev-subset-20210419-9323ec.tar.gz",
],
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"downloaded": False
},
"distilbert_kd-dl19-passage": {
"description": "TREC DL19 passage queries encoded by SBERT",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-distilbert_kd-dl19-passage-20230124-99b79.tar.gz",
],
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"total_queries": 43,
"downloaded": False
},
"distilbert_kd-dl20": {
"description": "TREC DL20 queries encoded by SBERT",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-distilbert_kd-dl20-passage-20230124-99b79.tar.gz",
],
"md5": "09fe19984515145a78183a98e44bd699",
"size (bytes)": 575682,
"total_queries": 200,
"downloaded": False
},
"distilbert_tas_b-msmarco-passage-dev-subset": {
"description": "MS MARCO passage dev set queries encoded by TAS-B",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-distilbert_dot_tas_b_b256-msmarco-passage-dev-subset-20210527-63276f.tar.gz",
],
"md5": "17a3f81de7ba497728050b83733b1c46",
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"total_queries": 6980,
"downloaded": False
},
"distilbert_tas_b-dl19-passage": {
"description": "TREC DL19 passage queries encoded by TAS-B",
"urls": [
"https://github.com/castorini/pyserini-data/raw/main/encoded-queries/query-embedding-distilbert_dot_tas_b_b256-dl19-passage-20230124-99b795.tar.gz",
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},
"distilbert_tas_b-dl20": {
"description": "TREC DL20 queries encoded by TAS-B",
"urls": [
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},
"dpr_multi-nq-dev": {
"description": "Natural Question dev set questions encoded by DPR question encoder trained on multiset",
"urls": [
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"dpr_multi-nq-test": {
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"urls": [
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"description": "Natural Question dev set questions encoded by ANCE question encoder trained on multiset",
"urls": [
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"dpr_multi-trivia-dev": {
"description": "TriviaQA dev set questions encoded by DPR question encoder trained on multiset",
"urls": [
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"urls": [
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"dpr_multi-squad-test": {
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"urls": [
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"dpr_multi-curated-test": {
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"urls": [
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"dpr_single_nq-nq-dev": {
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"urls": [
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"dpr_single_nq-nq-test": {
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"urls": [
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"bpr_single_nq-nq-test": {
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"dkrr-dpr-nq-retriever-dpr-nq-dev": {
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},
"openai-ada2-dl19-passage": {
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"openai-ada2-dl19-passage-hyde": {
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