# # 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. # CORPUS_INFO = { "scipy-sparse-vectors.msmarco-v1-passage-slimr": { "description": "MS MARCO passages-v1 corpus encoded by SLIM trained with BM25 negatives. (Scipy)", "filename": "scipy-sparse-vectors.msmarco-v1-passage-slimr.20230220.tar.gz", "urls": [ "https://vault.cs.uwaterloo.ca/s/4MRXSmiDqNH4mgF/download", ], "md5": "7ec96c74dced272712fcbb091bb671a8", "size (bytes)": 16533697862, "documents": 8841823, "downloaded": False }, "scipy-sparse-vectors.msmarco-v1-passage-slimr-pp": { "description": "MS MARCO passages-v1 corpus encoded by SLIM trained with cross-encoder distillation and hardnegative mining (Scipy)", "filename": "scipy-sparse-vectors.msmarco-v1-passage-slimr-pp.20230220.tar.gz", "urls": [ "https://vault.cs.uwaterloo.ca/s/gDJnrYGKsq6ir4w/download", ], "md5": "05ce2ce5f64b668a487909ab538ef2a5", "size (bytes)": 15785241481, "documents": 8841823, "downloaded": False }, }