Update README.md

README.md

@@ -10,7 +10,7 @@ tags:
 - persian
 - farsi
 - phoneme-translation
-- polyphone
+- homograph
 - mana-tts
 - commonvoice
 - sentence-bench
@@ -27,29 +27,29 @@ size_categories:
 
 **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:
 
-1. **Polyphone Word Pronunciation**: Predicting the correct pronunciation of polyphone words within a sentence.
+1. **Homograph Word Pronunciation**: Predicting the correct pronunciation of homograph words within a sentence.
 2. **Context-Sensitive Phonemes**: Predicting context-sensitive phonemes, such as Ezafe, which requires consideration of sentence context.
 
 This dataset allows comprehensive sentence-level evaluation of G2P tools using three metrics:
 - **Phoneme Error Rate (PER)**: The conventional evaluation metric for phoneme-level tasks.
-- **Polyphone Word Accuracy**: Accuracy in predicting the correct pronunciation of polyphone words.
+- **Homograph Word Accuracy**: Accuracy in predicting the correct pronunciation of homograph words.
   
 The dataset comprises 400 sentences, split into three parts:
-- 200 sentences manually constructed using approximately 100 polyphone words selected from the **Kaamel** [[1](https://huggingface.co/datasets/MahtaFetrat/KaamelDict)] dictionary, each word appearing in various contexts to showcase multiple pronunciations.
+- 200 sentences manually constructed using approximately 100 homograph words selected from the **Kaamel** [[1](https://huggingface.co/datasets/MahtaFetrat/KaamelDict)] dictionary, each word appearing in various contexts to showcase multiple pronunciations.
 - 100 randomly selected sentences from the unpublished **ManaTTS** [[2](https://huggingface.co/datasets/MahtaFetrat/Mana-TTS)] dataset.
 - 100 of the most upvoted sentences from **CommonVoice** [[3](https://commonvoice.mozilla.org/en)].
 
-Each sentence in the first part is annotated with its corresponding phoneme sequence, and sentences containing polyphone words include an additional annotation for the correct pronunciation of the polyphone within that sentence.
+Each sentence in the first part is annotated with its corresponding phoneme sequence, and sentences containing homograph words include an additional annotation for the correct pronunciation of the homograph within that sentence.
 
 ## Dataset Structure
 
 The dataset is provided as a CSV file with the following columns:
 
-- **dataset**: The source of the sentence, which is one of `mana-tts`, `commonvoice`, or `polyphone`.
+- **dataset**: The source of the sentence, which is one of `mana-tts`, `commonvoice`, or `homograph`.
 - **grapheme**: The sentence in Persian script.
 - **phoneme**: The phonetic transcription of the sentence.
-- **polyphone word**: The Persian word with ambiguous pronunciation (only for sentences with polyphones).
-- **pronunciation**: The correct pronunciation of the polyphone word within the sentence (only for sentences with polyphones).
+- **homograph word**: The Persian word with ambiguous pronunciation (only for sentences with homographs).
+- **pronunciation**: The correct pronunciation of the homograph word within the sentence (only for sentences with homographs).
 
 ## Phoneme Representation