Duplicate from MahtaFetrat/GPTInformal-Persian

Co-authored-by: Mahta Fetrat <MahtaFetrat@users.noreply.huggingface.co>

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+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
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README.md

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+---
+license: cc0-1.0
+tags:
+- gptinformal
+- gpt-informal
+- text-to-speech
+- tts
+- speech-synthesis
+- persian
+- data-collection
+- data-preprocessing
+- speech-processing
+- forced-alignment
+- speech-dataset
+- speech-corpus
+- dataset-preparation
+- persian-speech
+- tts-dataset
+- text-to-speech-dataset
+- mana-tts
+- manatts
+- speech-data-collection
+- gpt
+- llm-dataset
+---
+
+# GPTInformal Persian
+
+![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Dataset-orange)
+
+GPTInformal Persian is a Persian dataset of 6+ hours of audio and text pairs designed for speech synthesis and other speech-related tasks. The dataset has been collected, processed, and annotated as a part of the Mana-TTS project. For details on data processing pipeline and statistics, please refer to the paper in the Citation secition.
+
+## Data Source
+The text for this dataset was generated using GPT4o, with prompts covering a wide range of subjects such as politics and nature. The texts are intentionally crafted in informal Persian. Below is the prompt format used to generate these texts:
+
+> Please give me a very long text written in informal Persian. I want it to be mostly about [SUBJECT].
+
+These generated texts were then recorded in a quiet environment. The audio and text files underwent forced alignment using [aeneas](https://github.com/readbeyond/aeneas), resulting in smaller chunks of audio-text pairs as presented in this dataset.
+
+### Data Columns
+
+Each Parquet file contains the following columns:
+
+- **file name** (`string`): The unique identifier of the audio file.
+- **transcript** (`string`): The ground-truth transcript of the audio.
+- **duration** (`float64`): Duration of the audio file in seconds.
+- **subject** (`string`): The subject used in prompt to get the original text file.
+- **audio** (`sequence`): The actual audio data.
+- **samplerate** (`float64`): The sample rate of the audio.
+
+## Usage
+
+To use the dataset, you can load it directly using the Hugging Face datasets library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("MahtaFetrat/GPTInformal-Persian", split='train')
+```
+
+You can also download specific parts or the entire dataset:
+
+```bash
+# Download a specific part
+wget https://huggingface.co/datasets/MahtaFetrat/GPTInformal-Persian/resolve/main/dataset/dataset_part_1.parquet
+
+# Download the entire dataset
+git clone https://huggingface.co/datasets/MahtaFetrat/GPTInformal-Persian
+```
+
+## Citation
+
+If you use GPTInformal-Persian in your research or projects, please cite the following paper:
+
+```bash
+@inproceedings{qharabagh-etal-2025-manatts,
+    title = "{M}ana{TTS} {P}ersian: a recipe for creating {TTS} datasets for lower resource languages",
+    author = "Qharabagh, Mahta Fetrat  and Dehghanian, Zahra  and Rabiee, Hamid R.",
+    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
+    month = apr,
+    year = "2025",
+    address = "Albuquerque, New Mexico",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.naacl-long.464/",
+    pages = "9177--9206",
+}
+```
+
+## License
+
+This dataset is available under the cc0-1.0. However, the dataset should not be utilized for replicating or imitating the speaker’s voice for malicious
+purposes or unethical activities, including voice cloning for malicious intent.

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