| """Example script for benchmarking all datasets constituting the MTEB Polish leaderboard & average scores. |
| For a more elaborate evaluation, we refer to https://github.com/rafalposwiata/pl-mteb. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import logging |
|
|
| from sentence_transformers import SentenceTransformer |
|
|
| from mteb import MTEB |
|
|
| logging.basicConfig(level=logging.INFO) |
| logger = logging.getLogger("main") |
|
|
| classification_tasks = [ |
| "CBD", |
| "PolEmo2.0-IN", |
| "PolEmo2.0-OUT", |
| "AllegroReviews", |
| "PAC", |
| "MassiveIntentClassification", |
| "MassiveScenarioClassification", |
| ] |
|
|
| clustering_tasks = ["EightTagsClustering", "PlscClusteringS2S", "PlscClusteringP2P"] |
|
|
| pair_classification_tasks = ["SICK-E-PL", "PPC", "CDSC-E", "PSC"] |
|
|
| sts_tasks = ["SICK-R-PL", "CDSC-R", "STS22", "STSBenchmarkMultilingualSTS"] |
|
|
| tasks = classification_tasks + clustering_tasks + pair_classification_tasks + sts_tasks |
|
|
| model_name = "sdadas/st-polish-paraphrase-from-distilroberta" |
| model = SentenceTransformer(model_name) |
|
|
| evaluation = MTEB(tasks=tasks, task_langs=["pl"]) |
| evaluation.run(model, output_folder=f"results/pl/{model_name.split('/')[-1]}") |
|
|
