Dataset · Hugging Face

MahtaFetrat/SentenceBench

Name: SentenceBench
Creator: MahtaFetrat
License: gpl
Keywords: task_categories:translation, language:fa, license:gpl, size_categories:n<1K, format:csv, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:1912.06670, region:us, grapheme-to-phoneme, g2p, persian

Sentence-Bench: A Sentence-Level Benchmarking Dataset for Persian Grapheme-to-Phoneme (G2P) Tasks Introduction Sentence-Bench is the first sentence-level benchmarking dataset for evaluating grapheme-to-phoneme (G2P) models in Persian. To the best of our knowledge, no other dataset exists with phoneme-annotated sentences in Persian, designed specifically to address two significant challenges in sentence-level G2P tasks: Homograph Word Pronunciation: Predicting… See the full description on the dataset page: https://huggingface.co/datasets/MahtaFetrat/SentenceBench.

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Author / organization	MahtaFetrat
License (as declared)	gpl
Downloads	189 (as reported by Hugging Face)
Likes	7
Created	9 September 2024
Last updated at source	21 May 2025

grapheme-to-phonemeg2ppersianfarsiphoneme-translationhomographmana-ttscommonvoicesentence-benchsentencebenchllm-powered

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16 Oct 2026 Description: Sentence-Bench: A Sentence-Level Benchmarking Dataset for Persian Grapheme-to-Phoneme (G2P) Tasks Introduction Sentence-Bench is the first sentence-level benchmarking dataset for evaluating grapheme-to-phoneme (G2P) models in Persian. To th → Sentence-Bench: A Sentence-Level Benchmarking Dataset for Persian Grapheme-to-Phoneme (G2P) Tasks Introduction Sentence-Bench is the first sentence-level benchmarking dataset for evaluating grapheme-to-phoneme (G2P) models in Persian. To th

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