Spaces:
Runtime error
Runtime error
File size: 2,944 Bytes
d6585f5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 |
#
# 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.
#
import os
import subprocess
fail_str = '\033[91m[FAIL]\033[0m'
ok_str = '[OK]'
okish_str = '\033[94m[OKish]\033[0m'
def run_command(cmd):
process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = process.communicate()
stdout = stdout.decode('utf-8')
stderr = stderr.decode('utf-8')
return stdout, stderr
def run_eval_and_return_metric(metric, eval_key, defs, runfile):
eval_cmd = f'python -m pyserini.eval.trec_eval {defs} {eval_key} {runfile}'
eval_stdout, eval_stderr = run_command(eval_cmd)
for line in eval_stdout.split('\n'):
parts = line.split('\t')
if len(parts) == 3 and parts[1] == 'all':
return round(float(parts[2]), 4)
return 0.0
def run_dpr_retrieval_eval_and_return_metric(defs, json_file):
"""Generate dpr retrieval evaluation scores
Args:
defs: topk definitions (e.g., '--topk 5 20')
json_file: dpr retrieval json file
Returns:
topk: a dictionary of topk scores (e.g., {"Top5": <score>})
"""
eval_cmd = f'python -m pyserini.eval.evaluate_dpr_retrieval --retrieval {json_file} {defs} '
eval_stdout, eval_stderr = run_command(eval_cmd)
topk = {}
for line in eval_stdout.split('\n'):
parts = line.split('\t')
if len(parts) == 2 and 'accuracy' in parts[1]:
topk.update({parts[0]:round(float(parts[1][10:])*100, 4)})
return topk
def convert_trec_run_to_dpr_retrieval_json(topics,index,runfile,output):
"""Convert trec runfile to dpr retrieval json file
Args:
topics: topics field
index: index field
runfile: input runfile
output: output jsonfile
Returns:
exit status: exit status
"""
cmd = f'python -m pyserini.eval.convert_trec_run_to_dpr_retrieval_run --topics {topics} --index {index} --input {runfile} --output {output}'
return os.system(cmd)
def run_fusion(run_ls, output, k):
"""run fusion command and return status code
Args:
run_ls: a list of runfile paths
output: output path
k: topk value
Returns:
status code: status code
"""
run_files = ' '.join(run_ls)
cmd = f'python -m pyserini.fusion --runs {run_files} --output {output} --k {k}'
return os.system(cmd)
|