query_id
stringlengths 4
5
| corpus_id
stringlengths 4
4
| score
int64 1
1
|
---|---|---|
q566 | c371 | 1 |
q568 | c372 | 1 |
q569 | c373 | 1 |
q570 | c374 | 1 |
q571 | c375 | 1 |
q572 | c376 | 1 |
q573 | c377 | 1 |
q576 | c378 | 1 |
q577 | c379 | 1 |
q578 | c380 | 1 |
q579 | c381 | 1 |
q580 | c382 | 1 |
q581 | c383 | 1 |
q582 | c384 | 1 |
q583 | c385 | 1 |
q584 | c386 | 1 |
q585 | c387 | 1 |
q586 | c388 | 1 |
q587 | c389 | 1 |
q588 | c390 | 1 |
q591 | c391 | 1 |
q592 | c392 | 1 |
q593 | c393 | 1 |
q594 | c394 | 1 |
q595 | c395 | 1 |
q596 | c396 | 1 |
q597 | c397 | 1 |
q598 | c398 | 1 |
q600 | c399 | 1 |
q602 | c400 | 1 |
q603 | c401 | 1 |
q604 | c402 | 1 |
q605 | c403 | 1 |
q606 | c404 | 1 |
q607 | c405 | 1 |
q608 | c406 | 1 |
q610 | c407 | 1 |
q611 | c408 | 1 |
q613 | c409 | 1 |
q614 | c410 | 1 |
q615 | c411 | 1 |
q616 | c412 | 1 |
q617 | c413 | 1 |
q618 | c414 | 1 |
q619 | c415 | 1 |
q620 | c416 | 1 |
q621 | c417 | 1 |
q622 | c418 | 1 |
q623 | c419 | 1 |
q624 | c420 | 1 |
q625 | c421 | 1 |
q626 | c422 | 1 |
q627 | c423 | 1 |
q628 | c424 | 1 |
q629 | c425 | 1 |
q630 | c426 | 1 |
q631 | c427 | 1 |
q632 | c428 | 1 |
q633 | c429 | 1 |
q634 | c430 | 1 |
q636 | c431 | 1 |
q637 | c432 | 1 |
q638 | c433 | 1 |
q639 | c434 | 1 |
q641 | c435 | 1 |
q642 | c436 | 1 |
q643 | c437 | 1 |
q644 | c438 | 1 |
q645 | c439 | 1 |
q646 | c440 | 1 |
q647 | c441 | 1 |
q648 | c442 | 1 |
q649 | c443 | 1 |
q650 | c444 | 1 |
q651 | c445 | 1 |
q652 | c446 | 1 |
q653 | c447 | 1 |
q654 | c448 | 1 |
q655 | c449 | 1 |
q656 | c450 | 1 |
q658 | c451 | 1 |
q659 | c452 | 1 |
q660 | c453 | 1 |
q661 | c454 | 1 |
q662 | c455 | 1 |
q663 | c456 | 1 |
q664 | c457 | 1 |
q665 | c458 | 1 |
q666 | c459 | 1 |
q667 | c460 | 1 |
q669 | c461 | 1 |
q670 | c462 | 1 |
q671 | c463 | 1 |
q672 | c464 | 1 |
q673 | c465 | 1 |
q674 | c466 | 1 |
q675 | c467 | 1 |
q680 | c468 | 1 |
q681 | c469 | 1 |
q682 | c470 | 1 |
End of preview. Expand
in Dataset Viewer.
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-contest"])
# Initialize evaluation
evaluation = COIR(tasks=tasks,batch_size=128)
# Run evaluation
results = evaluation.run(model, output_folder=f"results/{model_name}")
print(results)
- Downloads last month
- 350