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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.
#
languages = [
['ar', 'arabic'],
['bn', 'bengali'],
['en', 'english'],
['fi', 'finnish'],
['id', 'indonesian'],
['ja', 'japanese'],
['ko', 'korean'],
['ru', 'russian'],
['sw', 'swahili'],
['te', 'telugu'],
['th', 'thai']
]
models = ['bm25', 'mdpr-split-pft-nq', 'mdpr-tied-pft-nq', 'mdpr-tied-pft-msmarco', 'mdpr-tied-pft-msmarco-ft-all']
html_display = {
'bm25': 'BM25',
'mdpr-split-pft-nq': 'mDPR (split encoders), pre-FT w/ NQ',
'mdpr-tied-pft-nq': 'mDPR (tied encoders), pre-FT w/ NQ',
'mdpr-tied-pft-msmarco': 'mDPR (tied encoders), pre-FT w/ MS MARCO',
'mdpr-tied-pft-msmarco-ft-all': 'mDPR (tied encoders), pre-FT w/ MS MARCO, FT w/ all'
}
trec_eval_metric_definitions = {
'MRR@100': '-c -M 100 -m recip_rank',
'R@100': '-c -m recall.100',
} |