Create README.md

README.md

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+---
+task_categories:
+- automatic-speech-recognition
+---
+# WikIPA
+
+## Dataset Description
+
+**WikIPA** is a multilingual benchmark dataset designed for **speech-to-IPA (STIPA) transcription**, linking spoken audio with International Phonetic Alphabet (IPA) transcriptions.
+
+The dataset integrates two large-scale community-driven resources:
+
+* **WikiPron** — human-curated IPA pronunciations extracted from Wiktionary
+* **Lingua Libre** — crowdsourced recordings of spoken lexical items
+
+By connecting these two resources, WikIPA provides a dataset that links **speech audio to phonetic representations**, enabling evaluation of models that transcribe speech directly into IPA.
+
+The dataset supports both:
+
+* **Broad (phonemic) IPA transcriptions**
+* **Narrow (phonetic) IPA transcriptions**
+
+WikIPA is introduced in the paper:
+
+> **WikIPA: Integrating WikiPron and Lingua Libre for Multilingual IPA Transcription** 
+
+The dataset contains **289,694 audio–IPA pairs across 78 languages**, making it one of the largest multilingual resources for speech-to-IPA evaluation. 
+
+
+## Citation
+
+If you use WikIPA or this repository, please cite:
+
+```bibtex
+@inproceedings{cassotti2026wikipa,
+  title={WikIPA: Integrating WikiPron and Lingua Libre for Multilingual IPA Transcription},
+  author={Cassotti, Pierluigi and Suchardt, Jacob Lee and De Cristofaro, Domenico},
+  booktitle={Proceedings of LREC 2026},
+  year={2026}
+}
+```
+
+---
+
+# Dataset Summary
+
+| Property             | Value                      |
+| -------------------- | -------------------------- |
+| Languages            | 78                         |
+| Total samples        | 289,694                    |
+| Audio duration (avg) | 1.15 seconds               |
+| Speakers             | 962                        |
+| Task                 | Speech → IPA transcription |
+
+Each entry corresponds to a **single spoken lexical item** recorded in Lingua Libre and linked to **IPA pronunciations from WikiPron**.
+
+---
+
+# Dataset Structure
+
+The dataset consists of **audio recordings paired with IPA transcriptions and metadata**.
+
+Typical fields include:
+
+* **audio** – speech recording
+* **lexical_item** – word or phrase spoken
+* **ipa_broad** – phonemic transcription (when available)
+* **ipa_narrow** – phonetic transcription (when available)
+* **language** – language code
+* **speaker** – identifier of the speaker
+* **dialect** – dialect information when available
+
+Example entry:
+
+```json
+{
+  "audio": "...",
+  "lexical_item": "domingo",
+  "ipa_broad": "[d o m i N g o]",
+  "ipa_narrow": "[d̪õmiŋgo]",
+  "language": "spa",
+  "speaker": "Eavqwiki"
+}
+```
+
+A lexical item may have **multiple possible IPA transcriptions**, reflecting pronunciation variants or dialectal differences.
+
+---
+
+# Data Splits
+
+The dataset is divided into **training and test splits**.
+
+| Split | Examples |
+| ----- | -------- |
+| train | 231,755  |
+| test  | 57,939   |
+| total | 289,694  |
+
+The **test split is stratified by language** to ensure balanced evaluation across languages. 
+
+---
+
+# Languages
+
+WikIPA covers **78 languages** from multiple language families.
+
+The dataset includes languages with varying phonological complexity and different levels of phonetic annotation detail.
+
+Both **broad and narrow IPA transcriptions** are available depending on the language and Wiktionary annotations.
+
+---
+
+# Usage
+
+Load the dataset using `datasets`:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("pierluigic/WikIPA")
+```
+
+Example:
+
+```python
+sample = dataset["train"][0]
+
+print(sample["audio"])
+print(sample["ipa_broad"])
+print(sample["language"])
+```
+
+---
+
+# Tasks
+
+The dataset is intended for:
+
+* **Speech-to-IPA transcription (STIPA)**
+* **Universal phone recognition**
+* **Phonetic modeling**
+* **Cross-lingual speech modeling**
+* **Evaluation of multilingual phonetic transcription systems**
+
+---