FEA-Bench / testbed /embeddings-benchmark__mteb /mteb /tasks /Classification /slk /CSFDSKMovieReviewSentimentClassification.py
| from __future__ import annotations | |
| from mteb.abstasks import AbsTaskClassification | |
| from mteb.abstasks.TaskMetadata import TaskMetadata | |
| N_SAMPLES = 2048 | |
| class CSFDSKMovieReviewSentimentClassification(AbsTaskClassification): | |
| metadata = TaskMetadata( | |
| name="CSFDSKMovieReviewSentimentClassification", | |
| description="The dataset contains 30k user reviews from csfd.cz in Slovak.", | |
| reference="https://arxiv.org/abs/2304.01922", | |
| dataset={ | |
| "path": "fewshot-goes-multilingual/sk_csfd-movie-reviews", | |
| "revision": "23a20c659d868740ef9c54854de631fe19cd5c17", | |
| }, | |
| type="Classification", | |
| category="s2s", | |
| date=("2002-05-21", "2020-03-05"), | |
| eval_splits=["test"], | |
| eval_langs=["slk-Latn"], | |
| main_score="accuracy", | |
| form=["written"], | |
| domains=["Reviews"], | |
| task_subtypes=["Sentiment/Hate speech"], | |
| license="CC-BY-SA-4.0", | |
| socioeconomic_status="mixed", | |
| annotations_creators="derived", | |
| dialect=[], | |
| text_creation="found", | |
| bibtex_citation=""" | |
| @misc{štefánik2023resources, | |
| title={Resources and Few-shot Learners for In-context Learning in Slavic Languages}, | |
| author={Michal Štefánik and Marek Kadlčík and Piotr Gramacki and Petr Sojka}, | |
| year={2023}, | |
| eprint={2304.01922}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| """, | |
| n_samples={"test": N_SAMPLES}, | |
| avg_character_length={"test": 366.2}, | |
| ) | |
| def metadata_dict(self): | |
| md = super().metadata_dict | |
| # Increase the samples_per_label in order to improve baseline performance | |
| md["samples_per_label"] = 20 | |
| return md | |
| def dataset_transform(self): | |
| self.dataset = self.dataset.rename_columns( | |
| {"comment": "text", "rating_int": "label"} | |
| ) | |
| self.dataset = self.stratified_subsampling( | |
| self.dataset, seed=self.seed, splits=["test"], n_samples=N_SAMPLES | |
| ) | |