Update README.md

README.md

@@ -1,46 +1,142 @@
 ---
-license: cc-by-sa-4.0
----
 language:
-- tig
+  - tig
 tags:
-- tigre
-- monolingual
-- africa
-- low-resource
+  - tigre
+  - speech
+  - audio-text
+  - low-resource
+license: cc-by-4.0
 ---
 
 # Tigre Speech Corpus
 
-## 🗣️ Dataset Description
+## 1. Overview
+
+This **Tigre Speech Corpus** is a curated collection of **18,470 aligned audio–text pairs** designed to support research and development in speech technologies for **Tigre (tig)**, an under-resourced South Semitic language spoken primarily in Eritrea. The dataset contains approximately **32 hours** of recorded speech contributed by **over 100 native speakers**.
+
+It reflects a **collective effort** by Tigre-speaking contributors worldwide, including a significant number of **diaspora native speakers** who participated in the Mozilla Common Voice project. This corpus is intended to serve as a foundational resource for advancing NLP technologies for the Tigre language and is suitable for tasks such as:
+
+- Automatic Speech Recognition (ASR)
+- Forced alignment
+- Speech translation
+- Speech-to-text pretraining
+- Low-resource speech benchmark creation
+
+---
+
+## 2. Data Source, Provenance, and Licensing
+
+The data was voluntarily collected via the **Mozilla Common Voice** platform, with contributions from community members using personal devices (mobile phones and computers). The sentence prompts used for recording originate from the Common Voice sentence bank.
+
+### Licensing
+
+The dataset follows Mozilla Common Voice licensing terms:
+
+- **Audio recordings (WAV files):** CC0 1.0 Universal — Public Domain Dedication  
+- **Text content:** CC BY 4.0 — Attribution required  
+
+---
+
+## 3. Corpus Composition
+
+### 3.1 Data Pairing Structure
+
+Each item in the corpus consists of:
+
+- A **`.wav` file** (audio recording)  
+- A **`.txt` file** (transcript)  
+
+Both share the same filename prefix (e.g., `clip_00123.wav` / `clip_00123.txt`), ensuring straightforward alignment.
+
+### 3.2 Duration Distribution
 
-This Hugging Face dataset is a collection of **audio-text pairs** specifically designed for speech processing tasks in the **Tigre language**, which is spoken primarily in Eritrea. It comprises **18,470 unique samples**, totaling approximately ** 31.93 hours ** of speech.
+The speech duration distribution:
 
-Each sample consists of an audio file (`.wav`) and its corresponding transcript (`.txt`), sharing the exact same filename prefix.
+- ~⅓ of audio clips: **< 5 seconds**  
+- ~⅓ of audio clips: **5–7 seconds**  
+- ~⅓ of audio clips: **7–41 seconds**  
 
-The audio data was collected via the **Mozilla Common Voice platform**, with participation from **over 100 native Tigre speakers** primarily living in the diaspora who contributed recordings mostly using their cell phones and personal computer.
+This natural variation supports both short- and long-utterance modeling.
 
-The distribution of speech durations is varied:
-* Approximately one-third of the samples are **less than 5 seconds**.
-* Another third falls **between 5 and 7 seconds**.
-* The remaining third ranges from **7 up to 41 seconds**.
+---
+
+## 4. Dataset Structure and File Format
+
+All files are stored in a flat directory structure inside the compressed release file.  
+Each audio file has a **single matching transcript** with the exact same filename prefix.
+
+### File Layout
+
+```text
+dataset_root/
+├── clip_xxxxx.wav
+├── clip_xxxxx.txt
+├── clip_yyyyy.wav
+├── clip_yyyyy.txt
+└── ...
+```
+
+- **`.wav` files** contain audio recordings.  
+- **`.txt` files** contain transcripts.  
+- There are **no nested folders** to simplify ingestion by ASR pipelines.
+
+### Naming Convention
+
+Filename alignment pattern:
+
+- `clip_12345.wav`  
+- `clip_12345.txt`  
+
+This ensures **1:1 audio–text alignment** for all 18,470 entries.
 
 ---
 
-## 📂 Dataset Structure
+## 5. Intended Use & Applications
 
-The dataset follows a simple, parallel structure. Each data point consists of a pair of files located in the root directory:
-* **Audio Files:** Stored in the Waveform Audio File Format (`.wav`).
-* **Text Files:** Contains the corresponding transcript for the audio, stored as a plain text file (`.txt`).
+This dataset supports:
 
-The filenames are identical for each pair (e.g., `sample_0001.wav` and `sample_0001.txt`).
+- **Low-resource ASR development**
+- **End-to-end speech models** (wav2vec2, Whisper, MMS)
+- **African language benchmarks**
+- **Cross-lingual representation learning**
+- **Phonetic/linguistic analysis**
+
+Potential applications:
+
+- Voice assistants  
+- Speech-enabled educational tools  
+- Accessibility technologies  
+- Humanitarian language technology  
 
 ---
 
-## ⚖️ Licensing Information
+## 6. Ethical Considerations
+
+- All recordings were contributed voluntarily.  
+- Contributors acknowledged CC0 audio licensing.  
+- No personally identifiable information (PII) is included.  
+- Derivative models should respect the spirit of open, community-driven data.
+
+---
+
+## 7. Recommended Citation
+
+```
+@dataset{tigre_speech_corpus_2025,
+  title = {Tigre Speech Corpus},
+  author = {Tigre Diaspora Community Contributors and Mozilla Common Voice},
+  year = {2025},
+  url = {https://huggingface.co/},
+  note = {A collection of 18,470 audio–text pairs for the Tigre language.}
+}
+```
+
+---
 
-The data (especially the voice clips) is shared under the spirit of the Mozilla Common Voice project.
+## 8. Acknowledgments
 
-The audio files are licensed under the **Creative Commons Zero v1.0 Universal (CC0 1.0)** Public Domain Dedication. This dedication allows you to copy, modify, distribute, and perform the work, even for commercial purposes, all without asking permission.
+We gratefully acknowledge:
 
-The original source sentences may be licensed under CC BY 4.0. We request that you **cite the Mozilla Common Voice project** as the original source for the data collection.
+- The **Tigre diaspora community** for their contributions.  
+- The **Mozilla Common Voice** team for enabling community-driven speech data creation.