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import json
import datasets
class JMTEBlite(datasets.GeneratorBasedBuilder):
# Define builder configs directly in the class
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=name,
description=f"JMTEB-lite dataset configuration for {name}",
)
for name in [
"livedoor_news",
"mewsc16_ja",
"sib200_japanese_clustering",
"amazon_review_classification",
"amazon_counterfactual_classification",
"massive_intent_classification",
"massive_scenario_classification",
"japanese_sentiment_classification",
"sib200_japanese_classification",
"wrime_classification",
"jsts",
"jsick",
"jaqket-query",
"jaqket-corpus", # lightweight
"mrtydi-query",
"mrtydi-corpus", # lightweight
"jagovfaqs_22k-query",
"jagovfaqs_22k-corpus",
"nlp_journal_title_abs-query",
"nlp_journal_title_abs-corpus",
"nlp_journal_title_intro-query",
"nlp_journal_title_intro-corpus",
"nlp_journal_abs_intro-query",
"nlp_journal_abs_intro-corpus",
"nlp_journal_abs_article-query",
"nlp_journal_abs_article-corpus",
"jacwir-retrieval-query",
"jacwir-retrieval-corpus", # lightweight
"miracl-retrieval-query",
"miracl-retrieval-corpus", # lightweight
"mldr-retrieval-query",
"mldr-retrieval-corpus",
"mintaka-retrieval-query",
"mintaka-retrieval-corpus",
"esci-query",
"esci-corpus",
"jqara-query",
"jqara-corpus", # lightweight
"jacwir-reranking-query",
"jacwir-reranking-corpus", # lightweight
"miracl-reranking-query",
"miracl-reranking-corpus",
"mldr-reranking-query",
"mldr-reranking-corpus",
]
]
def _info(self):
builder = datasets.load_dataset_builder(
"sbintuitions/JMTEB",
self.config.name,
trust_remote_code=True,
)
return datasets.DatasetInfo(
description=f"{self.config.name} in JMTEB-lite:" + builder.info.description,
citation=builder.info.citation,
homepage=builder.info.homepage,
license=builder.info.license,
features=builder.info.features,
)
def _split_generators(self, dl_manager):
if self.config.name in [
"jacwir-retrieval-corpus",
"jaqket-corpus",
"miracl-retrieval-corpus",
"mrtydi-corpus",
]:
filename = self.config.name.replace("corpus", "lite-corpus")
data_file = dl_manager.download(f"Retrieval-lite-data/{filename}.jsonl")
return [
datasets.SplitGenerator(
name="corpus", gen_kwargs={"filepath": data_file, "split": "corpus"}
)
]
if self.config.name in ["jacwir-reranking-corpus", "jqara-corpus"]:
filename = self.config.name.replace("corpus", "lite-corpus")
data_file = dl_manager.download(f"Reranking-lite-data/{filename}.jsonl")
return [
datasets.SplitGenerator(
name="corpus", gen_kwargs={"filepath": data_file, "split": "corpus"}
)
]
if self.config.name in ["jacwir-reranking-query", "jqara-query"]:
filename = self.config.name.replace("query", "lite-query-{split}.jsonl")
return [
datasets.SplitGenerator(
name=split,
gen_kwargs={
"filepath": dl_manager.download(
f"Reranking-lite-data/{filename.format(split=split)}"
),
"split": split,
},
)
for split in ["validation", "test"]
]
original = datasets.load_dataset(
"sbintuitions/JMTEB", self.config.name, trust_remote_code=True
)
return [
datasets.SplitGenerator(name=split, gen_kwargs={"split": split})
for split in original.keys()
]
def _generate_examples(self, split, filepath=None):
if filepath:
with open(filepath, "r", encoding="utf-8") as f:
for i, line in enumerate(f):
example = json.loads(line.strip())
yield i, example
else:
original_split = datasets.load_dataset(
"sbintuitions/JMTEB",
self.config.name,
split=split,
trust_remote_code=True,
)
for i, example in enumerate(original_split):
yield i, example
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