| --- |
| dataset_info: |
| - config_name: tts |
| features: |
| - name: id |
| dtype: string |
| - name: text |
| dtype: string |
| - name: prompt_text |
| dtype: string |
| - name: prompt_audio |
| dtype: |
| audio: |
| sampling_rate: 16000 |
| - name: speaker_id |
| dtype: string |
| - name: source_id |
| dtype: int64 |
| - name: prompt_id |
| dtype: int64 |
| - name: source_split |
| dtype: string |
| splits: |
| - name: fa |
| num_bytes: 336194003.0 |
| num_examples: 2098 |
| download_size: 6871992 |
| dataset_size: 336194003.0 |
| - config_name: tts_validation |
| features: |
| - name: id |
| dtype: string |
| - name: text |
| dtype: string |
| - name: prompt_text |
| dtype: string |
| - name: prompt_audio |
| dtype: |
| audio: |
| sampling_rate: 16000 |
| - name: speaker_id |
| dtype: string |
| - name: source_id |
| dtype: int64 |
| - name: prompt_id |
| dtype: int64 |
| - name: source_split |
| dtype: string |
| splits: |
| - name: fa |
| num_bytes: 296643213.0 |
| num_examples: 1851 |
| download_size: 6209505 |
| dataset_size: 296643213.0 |
| configs: |
| - config_name: tts |
| data_files: |
| - split: fa |
| path: tts/fa-* |
| - config_name: tts_validation |
| data_files: |
| - split: fa |
| path: tts_validation/fa-* |
| language: |
| - fa |
| source_datasets: |
| - shekar-ai/Neyshekar |
| task_categories: |
| - text-to-speech |
| license: cc0-1.0 |
| --- |
| # Neyshekar Persian TTS evaluation |
|
|
| Reformatted from [shekar-ai/Neyshekar](https://huggingface.co/datasets/shekar-ai/Neyshekar), |
| revision `30696ada746a66bb3047c984744b5ecfd60fe4e9`, under [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/). |
| Source authors: Ahmad Amirivojdan, Farzad Nadiri, Abolfazl Alizadeh and Shaghayegh Yaraghi. |
| See [Neyshekar (2026)](https://arxiv.org/abs/2609.14542). Do not attempt to identify speakers. |
|
|
| When requested, `tts/fa` uses the predefined **test** split and `tts_validation/fa` uses |
| **validation**, for development only. No training recordings are used. Requested source |
| splits are checked for disjoint speaker IDs. This does not establish disjointness from any |
| evaluated model's training data; model authors must disclose Neyshekar training overlap. |
|
|
| Within each split, select one 3–10 second prompt per speaker, closest to 5 seconds, |
| ties broken by ascending source ID. Targets are the remaining 1–30 second recordings' |
| transcripts, deduplicated per speaker. All selected prompt IDs and normalized prompt |
| texts are excluded from targets across that split. Speakers without a prompt and a |
| distinct target are omitted. Pairing uses no ASR/TTS quality scores. Rows are ordered |
| by speaker ID, then numeric target ID. Speaker distribution follows the source and |
| is not balanced. This is an automatically constructed evaluation set, not a manually |
| audited TTS benchmark. |
|
|
| **Changes:** prompt/target pairing, filtering, and conversion to the leaderboard's |
| `id`, `text`, `prompt_text`, `prompt_audio` schema, with source/prompt IDs and split |
| provenance. Original transcripts and prompt WAV bytes are unchanged. Target recordings |
| are not copied into the evaluation set. Preparation script: |
| [`prepare_neyshekar_eval.py`](https://github.com/huggingface/open-tts-leaderboard/blob/main/scripts/prepare_neyshekar_eval.py). |
|
|
| Scoring: Qwen3-ASR (`fa`), Persian normalized WER, RTFx, and WavLM SIM for cloning. |
| UTMOS22 is English-only and is not reported here. Normalization is applied only at |
| scoring time, never to the synthesis input. See the repository's Persian evaluation docs. |
|
|
| ## Preparation report |
|
|
| The SHA-256 covers ordered `[target_id, prompt_id]` pairs, encoded as compact JSON. |
|
|
| ```json |
| { |
| "tts": { |
| "source_split": "test", |
| "source_rows": 2149, |
| "prompt_id_or_text_excluded": 31, |
| "duplicate_target_text": 20, |
| "output_rows": 2098, |
| "output_speakers": 30, |
| "pairs_sha256": "b170ed14adc3718ed9fb2d958456c203c3127c0a528e4d0ed7b120bd49414bfe" |
| }, |
| "tts_validation": { |
| "source_split": "validation", |
| "source_rows": 1886, |
| "prompt_id_or_text_excluded": 28, |
| "duplicate_target_text": 7, |
| "output_rows": 1851, |
| "output_speakers": 26, |
| "pairs_sha256": "24ce4e740a466a478421bd90a1bbabf8627fb8e12d1ee1cfa55937a49796c757" |
| } |
| } |
| ``` |
|
|
| ## Citation |
|
|
| All credit for the recordings and transcripts goes to the Neyshekar authors. If you use this |
| evaluation set, please cite the source corpus: |
|
|
| ```bibtex |
| @article{amirivojdan2026neyshekar, |
| title={Neyshekar: An Open Persian Read-Speech Corpus for Automatic Speech Recognition}, |
| author={Amirivojdan, Ahmad and Nadiri, Farzad and Alizadeh, Abolfazl and Yaraghi, Shaghayegh}, |
| journal={arXiv preprint arXiv:2609.14542}, |
| year={2026}, |
| doi={10.48550/arXiv.2609.14542}, |
| url={https://arxiv.org/abs/2609.14542} |
| } |
| ``` |
|
|
