Update README.md

README.md

@@ -72,7 +72,7 @@ In addition to the text-to-text translations, the dataset includes parallel spee
 - **Text-to-Text Translations:** English sentences paired with their translations in Igbo, Yoruba, and Hausa.
 - **Speech-to-Speech Recordings:** Audio recordings of native speakers reading both the English texts and the corresponding translated texts.
 
-This dual modality (text and audio) supports various downstream tasks such as machine translation, automatic speech recognition (ASR), text-to-speech (TTS), and cross-lingual transfer learning.
+This dual modality (text and audio) supports various downstream tasks such as machine translation, automatic speech recognition (ASR), text-to-speech (TTS), language identification (LI), and cross-lingual transfer learning.
 
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@@ -85,7 +85,7 @@ This dual modality (text and audio) supports various downstream tasks such as ma
   - Igbo
   - Yoruba
   - Hausa
-- **Format:** Typically stored in CSV/TSV or JSON files where each record contains:
+- **Format:** Typically stored in CSV or JSON files where each record contains:
   - The English sentence.
   - The corresponding translations for each target language.
 - **Splits:** The dataset is divided according to each low-resource language to mirror Fleurs partitioning but particularly for African Languages.
@@ -101,7 +101,7 @@ This dual modality (text and audio) supports various downstream tasks such as ma
 - **Format:** Audio files (e.g., WAV) with accompanying metadata files (e.g., CSV/JSON) that include:
   - Unique identifier linking to text entries.
   - Language code.
-  - Duration and other audio properties.
+  - Duration, sample rate, and other audio properties.
 - **Parallelism:** Each audio file is aligned with the corresponding text in both the source (English) and target languages.
 
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@@ -195,6 +195,7 @@ The Hypa_Fleurs dataset can be used for various research and development tasks,
 - **Speech Recognition (ASR):** Developing systems that can transcribe speech in under-resourced languages.
 - **Text-to-Speech (TTS):** Creating natural-sounding TTS systems using paired audio-text data.
 - **Cross-lingual Learning:** Supporting transfer learning and multilingual model training.
+- **Language Identification (LI):** Identifying spoken or written languages (speech or text).
 
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