Dataset · Hugging Face

sbintuitions/JMTEB

Name: JMTEB
Creator: sbintuitions
License: cc-by-sa-4.0
Keywords: task_categories:text-classification, task_categories:question-answering, task_categories:zero-shot-classification, task_categories:sentence-similarity, language:ja, license:cc-by-sa-4.0, size_categories:10M<n<100M, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us

JMTEB: Japanese Massive Text Embedding Benchmark JMTEB is a benchmark for evaluating Japanese text embedding models. It consists of 5 tasks, currently involving 28 datasets in total. You can find the update history here. TL;DR from datasets import load_dataset dataset = load_dataset("sbintuitions/JMTEB", name="<dataset_name>", split="<split>") JMTEB_DATASET_NAMES = ( 'livedoor_news', 'mewsc16_ja', 'sib200_japanese_clustering'… See the full description on the dataset page: https://huggingface.co/datasets/sbintuitions/JMTEB.

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Author / organization	sbintuitions
License (as declared)	cc-by-sa-4.0
Downloads	2.6K (as reported by Hugging Face)
Likes	19
Created	11 March 2024
Last updated at source	16 March 2026

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