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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. | |
# | |
from collections import defaultdict | |
from string import Template | |
import yaml | |
from scripts.repro_matrix.defs_beir import beir_keys, trec_eval_metric_definitions | |
def format_run_command(raw): | |
return raw.replace('--topics', '\\\n --topics')\ | |
.replace('--index', '\\\n --index')\ | |
.replace('--encoder-class', '\\\n --encoder-class')\ | |
.replace('--output ', '\\\n --output ')\ | |
.replace('--output-format trec', '\\\n --output-format trec \\\n ') \ | |
.replace('--hits ', '\\\n --hits ') | |
def format_eval_command(raw): | |
return raw.replace('-c ', '\\\n -c ')\ | |
.replace('run.', '\\\n run.') | |
def read_file(f): | |
fin = open(f, 'r') | |
text = fin.read() | |
fin.close() | |
return text | |
if __name__ == '__main__': | |
table = defaultdict(lambda: defaultdict(lambda: defaultdict(lambda: 0.0))) | |
commands = defaultdict(lambda: defaultdict(lambda: '')) | |
eval_commands = defaultdict(lambda: defaultdict(lambda: '')) | |
html_template = read_file('scripts/repro_matrix/beir_html.template') | |
row_template = read_file('scripts/repro_matrix/beir_html_row.template') | |
with open('pyserini/resources/beir.yaml') as f: | |
yaml_data = yaml.safe_load(f) | |
for condition in yaml_data['conditions']: | |
name = condition['name'] | |
cmd_template = condition['command'] | |
for datasets in condition['datasets']: | |
dataset = datasets['dataset'] | |
runfile = f'run.beir-{name}.{dataset}.txt' | |
cmd = Template(cmd_template).substitute(dataset=dataset, output=runfile) | |
commands[dataset][name] = format_run_command(cmd) | |
for expected in datasets['scores']: | |
for metric in expected: | |
eval_cmd = f'python -m pyserini.eval.trec_eval ' + \ | |
f'{trec_eval_metric_definitions[metric]} beir-v1.0.0-{dataset}-test {runfile}' | |
eval_commands[dataset][name] += format_eval_command(eval_cmd) + '\n\n' | |
table[dataset][name][metric] = expected[metric] | |
row_cnt = 1 | |
html_rows = [] | |
for dataset in beir_keys: | |
s = Template(row_template) | |
s = s.substitute(row_cnt=row_cnt, | |
dataset=dataset, | |
s1=f'{table[dataset]["bm25-flat"]["nDCG@10"]:8.4f}', | |
s2=f'{table[dataset]["bm25-flat"]["R@100"]:8.4f}', | |
s3=f'{table[dataset]["bm25-multifield"]["nDCG@10"]:8.4f}', | |
s4=f'{table[dataset]["bm25-multifield"]["R@100"]:8.4f}', | |
s5=f'{table[dataset]["splade-distil-cocodenser-medium"]["nDCG@10"]:8.4f}', | |
s6=f'{table[dataset]["splade-distil-cocodenser-medium"]["R@100"]:8.4f}', | |
s7=f'{table[dataset]["contriever"]["nDCG@10"]:8.4f}', | |
s8=f'{table[dataset]["contriever"]["R@100"]:8.4f}', | |
s9=f'{table[dataset]["contriever-msmarco"]["nDCG@10"]:8.4f}', | |
s10=f'{table[dataset]["contriever-msmarco"]["R@100"]:8.4f}', | |
cmd1=commands[dataset]["bm25-flat"], | |
cmd2=commands[dataset]["bm25-multifield"], | |
cmd3=commands[dataset]["splade-distil-cocodenser-medium"], | |
cmd4=commands[dataset]["contriever"], | |
cmd5=commands[dataset]["contriever-msmarco"], | |
eval_cmd1=eval_commands[dataset]["bm25-flat"].rstrip(), | |
eval_cmd2=eval_commands[dataset]["bm25-multifield"].rstrip(), | |
eval_cmd3=eval_commands[dataset]["splade-distil-cocodenser-medium"].rstrip(), | |
eval_cmd4=eval_commands[dataset]["contriever"].rstrip(), | |
eval_cmd5=eval_commands[dataset]["contriever-msmarco"].rstrip(), | |
) | |
html_rows.append(s) | |
row_cnt += 1 | |
all_rows = '\n'.join(html_rows) | |
print(Template(html_template).substitute(title='BEIR', rows=all_rows)) | |