| --- |
| license: mit |
| language: |
| - he |
| pretty_name: MILIM-Bench |
| --- |
| |
| # MILIM-Bench |
|
|
| MILIM-Bench is a small Hebrew benchmark for evaluating grapheme-to-phoneme |
| (G2P) systems. It contains Hebrew text examples grouped by linguistic category, |
| with target pronunciations for the words that should be checked. |
|
|
| The benchmark is distributed as `MILIM-Bench-v5.tsv` and is hosted on Hugging |
| Face at `renikud/MILIM-Bench`. |
|
|
| ## Format |
|
|
| Each row contains: |
|
|
| - `Category`: the phenomenon being tested. |
| - `Text`: the Hebrew sentence or phrase. |
| - `Label`: expected pronunciation targets, written as `token_index=IPA`. |
| Token indexes start from 0, and a row may contain one or more indexed words. |
|
|
| Example label: |
|
|
| ```text |
| 2=leχˈa |
| ``` |
|
|
| This means token 2 in the text should be pronounced `leχˈa`. |
|
|
| ## Categories |
|
|
| The current file has 1,653 examples across 12 categories: |
|
|
| - acronyms |
| - colloquial |
| - foreign |
| - gender |
| - homographs |
| - ilspeech-v2-test |
| - minimal stress pairs |
| - names |
| - penultimate stress |
| - rare phonemes |
| - slang |
| - Regular Homographed |
|
|
| ## Intended Use |
|
|
| Use this dataset to compare Hebrew G2P outputs against category-specific |
| expected pronunciations, especially for ambiguity, stress placement, names, |
| loanwords, slang, acronyms, and gendered forms. |
|
|
