File size: 2,340 Bytes
73cc8d2 | 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 | from __future__ import annotations
from mteb.abstasks.AbsTaskClassification import AbsTaskClassification
from mteb.abstasks.TaskMetadata import TaskMetadata
class CzechSoMeSentimentClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="CzechSoMeSentimentClassification",
description="User comments on Facebook",
reference="https://aclanthology.org/W13-1609/",
dataset={
"path": "fewshot-goes-multilingual/cs_facebook-comments",
"revision": "6ced1d87a030915822b087bf539e6d5c658f1988",
},
type="Classification",
category="s2s",
eval_splits=["test"],
eval_langs=["ces-Latn"],
main_score="accuracy",
date=("2013-01-01", "2013-06-01"),
form=["written"],
dialect=[],
domains=["Reviews"],
task_subtypes=["Sentiment/Hate speech"],
license="CC BY-NC-SA 4.0",
socioeconomic_status="mixed",
annotations_creators="derived",
text_creation="found",
bibtex_citation="""
@inproceedings{habernal-etal-2013-sentiment,
title = "Sentiment Analysis in {C}zech Social Media Using Supervised Machine Learning",
author = "Habernal, Ivan and
Pt{\'a}{\v{c}}ek, Tom{\'a}{\v{s}} and
Steinberger, Josef",
editor = "Balahur, Alexandra and
van der Goot, Erik and
Montoyo, Andres",
booktitle = "Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
month = jun,
year = "2013",
address = "Atlanta, Georgia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W13-1609",
pages = "65--74",
}
""",
n_samples={"test": 1000},
avg_character_length={"test": 59.89},
)
@property
def metadata_dict(self) -> dict[str, str]:
metadata_dict = super().metadata_dict
metadata_dict["n_experiments"] = 10
metadata_dict["samples_per_label"] = 16
return metadata_dict
def dataset_transform(self) -> None:
self.dataset = self.dataset.rename_columns(
{"comment": "text", "sentiment_int": "label"}
)
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