File size: 4,922 Bytes
83d24b2 | 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 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 | from __future__ import annotations
from mteb.abstasks.TaskMetadata import TaskMetadata
from ....abstasks import AbsTaskClassification
class CbdClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="CBD",
description="Polish Tweets annotated for cyberbullying detection.",
reference="http://2019.poleval.pl/files/poleval2019.pdf",
dataset={
"path": "PL-MTEB/cbd",
"revision": "36ddb419bcffe6a5374c3891957912892916f28d",
},
type="Classification",
category="s2s",
eval_splits=["test"],
eval_langs=["pol-Latn"],
main_score="accuracy",
date=None,
form=None,
domains=None,
task_subtypes=None,
license=None,
socioeconomic_status=None,
annotations_creators=None,
dialect=None,
text_creation=None,
bibtex_citation=None,
n_samples={"test": 1000},
avg_character_length={"test": 93.2},
)
class PolEmo2InClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="PolEmo2.0-IN",
description="A collection of Polish online reviews from four domains: medicine, hotels, products and "
"school. The PolEmo2.0-IN task is to predict the sentiment of in-domain (medicine and hotels) reviews.",
reference="https://aclanthology.org/K19-1092.pdf",
dataset={
"path": "PL-MTEB/polemo2_in",
"revision": "d90724373c70959f17d2331ad51fb60c71176b03",
},
type="Classification",
category="s2s",
eval_splits=["test"],
eval_langs=["pol-Latn"],
main_score="accuracy",
date=None,
form=None,
domains=None,
task_subtypes=None,
license=None,
socioeconomic_status=None,
annotations_creators=None,
dialect=None,
text_creation=None,
bibtex_citation=None,
n_samples=None,
avg_character_length=None,
)
class PolEmo2OutClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="PolEmo2.0-OUT",
description="A collection of Polish online reviews from four domains: medicine, hotels, products and "
"school. The PolEmo2.0-OUT task is to predict the sentiment of out-of-domain (products and "
"school) reviews using models train on reviews from medicine and hotels domains.",
reference="https://aclanthology.org/K19-1092.pdf",
dataset={
"path": "PL-MTEB/polemo2_out",
"revision": "6a21ab8716e255ab1867265f8b396105e8aa63d4",
},
type="Classification",
category="s2s",
eval_splits=["test"],
eval_langs=["pol-Latn"],
main_score="accuracy",
date=None,
form=None,
domains=None,
task_subtypes=None,
license=None,
socioeconomic_status=None,
annotations_creators=None,
dialect=None,
text_creation=None,
bibtex_citation=None,
n_samples={"test": 722},
avg_character_length={"test": 756.2},
)
class AllegroReviewsClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="AllegroReviews",
description="A Polish dataset for sentiment classification on reviews from e-commerce marketplace Allegro.",
reference="https://aclanthology.org/2020.acl-main.111.pdf",
dataset={
"path": "PL-MTEB/allegro-reviews",
"revision": "b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6",
},
type="Classification",
category="s2s",
eval_splits=["test"],
eval_langs=["pol-Latn"],
main_score="accuracy",
date=None,
form=None,
domains=None,
task_subtypes=None,
license=None,
socioeconomic_status=None,
annotations_creators=None,
dialect=None,
text_creation=None,
bibtex_citation=None,
n_samples={"test": 1006},
avg_character_length={"test": 477.2},
)
class PacClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="PAC",
description="Polish Paraphrase Corpus",
reference="https://arxiv.org/pdf/2211.13112.pdf",
dataset={
"path": "laugustyniak/abusive-clauses-pl",
"revision": "fc69d1c153a8ccdcf1eef52f4e2a27f88782f543",
},
type="Classification",
category="p2p",
eval_splits=["test"],
eval_langs=["pol-Latn"],
main_score="accuracy",
date=None,
form=None,
domains=None,
task_subtypes=None,
license=None,
socioeconomic_status=None,
annotations_creators=None,
dialect=None,
text_creation=None,
bibtex_citation=None,
n_samples={"test": 3453},
avg_character_length={"test": 185.3},
)
|