Update README.md

README.md

@@ -29,138 +29,75 @@ license: apache-2.0
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 # Dataset Card for Tamazight Open Speech Dataset
 
-<!-- Provide a quick summary of the dataset. -->
+This dataset provides a parsed, formatted, and ready-to-use version of the Amazigh Voice Dataset. It contains voice recordings and corresponding text transcripts in Standard Moroccan Amazigh (ⵜⴰⵎⴰⵣⵉⵖⵜ ⵜⴰⵏⴰⵡⴰⵢⵜ ⵜⴰⵎⵓⵔⴰⴽⵓⵛⵜ) intended for training Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) models. 
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+This specific repository is published by a collaborator. **For the original, actively updated raw data files (ZIP format), please visit my raw dataset repository: [Amazigh-Speech-Dataset](https://huggingface.co/datasets/abdelhaqueidali/Amazigh-Speech-Dataset).**
 
 ## Dataset Details
 
 ### Dataset Description
 
-<!-- Provide a longer summary of what this dataset is. -->
+- **Curated by:** [Abdelhaque Id Ali](https://www.linkedin.com/in/abdelhaqueidali)
+- **Shared by:** Tamazight-NLP
+- **Language(s) (NLP):** Standard Moroccan Amazigh (zgh), Berber (ber)
+- **License:** Apache-2.0
 
+### Dataset Sources
 
-
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-
-### Dataset Sources [optional]
-
-<!-- Provide the basic links for the dataset. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Parsed Repository:** [https://huggingface.co/datasets/Tamazight-NLP/TOSD](https://huggingface.co/datasets/Tamazight-NLP/TOSD)
+- **Original Raw Data:** [https://huggingface.co/datasets/abdelhaqueidali/Amazigh-Speech-Dataset](https://huggingface.co/datasets/abdelhaqueidali/Amazigh-Speech-Dataset)
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
-
 ### Direct Use
 
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
+- Training or fine-tuning Speech-to-Text (STT / ASR) models.
+- Training or fine-tuning Text-to-Speech (TTS) models.
+- Linguistic research regarding Amazigh phonetics and speech.
 
 ### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-[More Information Needed]
+This data should not be used to generate malicious voice clones or deepfakes intended for impersonation, fraud, or harassment.
 
 ## Dataset Structure
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+Unlike the raw dataset which uses separate `.wav` and `.txt` files in `.zip` archives, this dataset has been parsed into a structured format for immediate use with the Hugging Face `datasets` library. 
 
-[More Information Needed]
+It contains 1,567 examples with the following fields:
+* **`audio`**: The audio data feature, containing the decoded audio array and sampling rate.
+* **`text`**: The string transcript of the audio in the Tifinagh script.
+* **`duration`**: The length of the audio clip in seconds (float64).
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
+Amazigh is a low-resource language in AI. This dataset was created to contribute high-quality, openly licensed voice data to help the open-source community build better voice technologies for the Amazigh-speaking community.
 
 ### Source Data
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-
 #### Data Collection and Processing
 
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-[More Information Needed]
+The audio was recorded by a fluent speaker reading from pre-selected Standard Moroccan Amazigh texts. This specific repository hosts the processed and structured version of those original recordings.
 
 #### Who are the source data producers?
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-
-[More Information Needed]
-
-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
+The audio was originally recorded by **Abdelhaque Id Ali**, a speaker of Southern Moroccan Amazigh. 
 
 #### Personal and Sensitive Information
 
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
+The dataset contains the voice recordings of the creator. No other personally identifiable information (PII) is included in the audio or text.
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
+This dataset represents the voice, accent, and pronunciation of a single speaker using Standard Moroccan Amazigh. It may not fully capture the phonetic diversity of other regional Amazigh varieties. Models trained solely on this data may struggle with accents or dialects not represented here.
 
-## Dataset Card Authors [optional]
+## Dataset Card Authors
 
-[More Information Needed]
+- [Abdelhaque Id Ali](https://www.linkedin.com/in/abdelhaqueidali)
+- Tamazight-NLP
 
 ## Dataset Card Contact
 
-[More Information Needed]
+- Email: [Abdelhaque379@gmail.com](mailto:Abdelhaque379@gmail.com)
+- LinkedIn: [Abdelhaque Id Ali](https://www.linkedin.com/in/abdelhaqueidali)