query_id
stringlengths
2
6
corpus_id
stringlengths
2
6
score
int64
1
1
q0
c0
1
q1
c1
1
q2
c2
1
q3
c3
1
q4
c4
1
q5
c5
1
q6
c6
1
q7
c7
1
q8
c8
1
q9
c9
1
q10
c10
1
q11
c11
1
q12
c12
1
q13
c13
1
q14
c14
1
q15
c15
1
q16
c16
1
q17
c17
1
q18
c18
1
q19
c19
1
q20
c20
1
q21
c21
1
q22
c22
1
q23
c23
1
q24
c24
1
q25
c25
1
q26
c26
1
q27
c27
1
q28
c28
1
q29
c29
1
q30
c30
1
q31
c31
1
q32
c32
1
q33
c33
1
q34
c34
1
q35
c35
1
q36
c36
1
q37
c37
1
q38
c38
1
q39
c39
1
q40
c40
1
q41
c41
1
q42
c42
1
q43
c43
1
q44
c44
1
q45
c45
1
q46
c46
1
q47
c47
1
q48
c48
1
q49
c49
1
q50
c50
1
q51
c51
1
q52
c52
1
q53
c53
1
q54
c54
1
q55
c55
1
q56
c56
1
q57
c57
1
q58
c58
1
q59
c59
1
q60
c60
1
q61
c61
1
q62
c62
1
q63
c63
1
q64
c64
1
q65
c65
1
q66
c66
1
q67
c67
1
q68
c68
1
q69
c69
1
q70
c70
1
q71
c71
1
q72
c72
1
q73
c73
1
q74
c74
1
q75
c75
1
q76
c76
1
q77
c77
1
q78
c78
1
q79
c79
1
q80
c80
1
q81
c81
1
q82
c82
1
q83
c83
1
q84
c84
1
q85
c85
1
q86
c86
1
q87
c87
1
q88
c88
1
q89
c89
1
q90
c90
1
q91
c91
1
q92
c92
1
q93
c93
1
q94
c94
1
q95
c95
1
q96
c96
1
q97
c97
1
q98
c98
1
q99
c99
1

Employing the CoIR evaluation framework's dataset version, utilize the code below for assessment:

import coir
from coir.data_loader import get_tasks
from coir.evaluation import COIR
from coir.models import YourCustomDEModel

model_name = "intfloat/e5-base-v2"

# Load the model
model = YourCustomDEModel(model_name=model_name)

# Get tasks
#all task ["codetrans-dl","stackoverflow-qa","apps","codefeedback-mt","codefeedback-st","codetrans-contest","synthetic-
# text2sql","cosqa","codesearchnet","codesearchnet-ccr"]
tasks = get_tasks(tasks=["codetrans-dl"])

# Initialize evaluation
evaluation = COIR(tasks=tasks,batch_size=128)

# Run evaluation
results = evaluation.run(model, output_folder=f"results/{model_name}")
print(results)
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