Continuing from Discord message.
`TaskMetadata($args)` where {
$args <: any {
contains `n_samples=$_` as $ns_kwarg where {
$ns_kwarg <: `n_samples = $ns_val` => .
},
contains keyword_argument(name="avg_character_length") as $avg_kwarg where {
$avg_kwarg <: `avg_character_length = $avg_val` => `stats=GeneralDescriptiveStats(n_samples=$ns_val, avg_character_length=$avg_val)`
},
},
}
from pydantic import BaseModel
class TaskMetadata(BaseModel):
n_samples: dict[str, int]
avg_character_length: dict[str, float]
if __name__ == "__main__":
TaskMetadata(
name="TbilisiCityHallBitextMining",
dataset={
"path": "jupyterjazz/tbilisi-city-hall-titles",
"revision": "798bb599140565cca2dab8473035fa167e5ee602",
},
description="Parallel news titles from the Tbilisi City Hall website (https://tbilisi.gov.ge/).",
type="BitextMining",
category="s2s",
eval_splits=[_EVAL_SPLIT],
eval_langs=_EVAL_LANGS,
main_score="f1",
domains=["News"],
text_creation="created",
n_samples={_EVAL_SPLIT: 1820},
reference="https://huggingface.co/datasets/jupyterjazz/tbilisi-city-hall-titles",
date=("2024-05-02", "2024-05-03"),
form=["written"],
task_subtypes=[],
license="Not specified",
socioeconomic_status="mixed",
annotations_creators="derived",
dialect=[],
bibtex_citation="",
avg_character_length={_EVAL_SPLIT: 78},
)Morgante suggested it might be a bug somewhere around here.
Results in a dangling comma:
Continuing from Discord message.
Morgante suggested it might be a bug somewhere around here.
Results in a dangling comma:
