Datasets:

cloud0day3
/

antalia-eval

---
language:
  - tr
license: cc-by-4.0
pretty_name: Antalia evaluation suites and training-data manifests
task_categories:
  - text-to-speech
tags:
  - turkish
  - tts
  - evaluation
  - manifests
size_categories:
  - 100K<n<1M
configs:
  - config_name: evaluation
    data_files:
      - split: turkish_v2
        path: evaluation/turkish-v2.jsonl
      - split: turkish_v1
        path: evaluation/turkish-v1.jsonl
      - split: pronunciation_v1
        path: evaluation/turkish-pronunciation-v1.jsonl
  - config_name: common_voice_26_tr_filtered
    data_files:
      - split: train
        path: manifests/common-voice-26.0-tr-filtered.train.jsonl
      - split: validation
        path: manifests/common-voice-26.0-tr-filtered.validation.jsonl
      - split: test
        path: manifests/common-voice-26.0-tr-filtered.test.jsonl
      - split: rejected
        path: manifests/common-voice-26.0-tr-filtered.rejected.jsonl
  - config_name: fleurs_tr
    data_files:
      - split: all
        path: manifests/fleurs-tr.jsonl
---
# Antalia evaluation suites and training-data manifests

Companion data for [Antalia 1](https://huggingface.co/cloud0day3/antalia-1) and
[Antalia 1 Foundation](https://huggingface.co/cloud0day3/antalia-1-foundation), an open Turkish
text-to-speech release whose development is discontinued. **No audio is included.** The repository
contains the prompt suites we report numbers on, the manifests that reproduce our public-corpus
filtering, the native-listening (CMOS) protocol with its raw single-listener results, and the
aggregate statistics used by the best-of-N selector.

The speaker's own recordings are published separately as
[antalia-voice-corpus](https://huggingface.co/datasets/cloud0day3/antalia-voice-corpus) (5.008 h, CC-BY-4.0).

Code: https://github.com/0daycloud/antalia · Paper: https://github.com/0daycloud/antalia/blob/main/paper/main.pdf

## Contents

### `evaluation/` — prompt suites (CC-BY-4.0, written by the authors)

| File | Prompts | Notes |
|---|---:|---|
| `turkish-v2.jsonl` | 120 | 10 categories × 12: general, voice_agent, names_places, numeric, foreign_abbreviations, adversarial_normalization, questions_confirmations, acknowledgement, emotional_style, long_form. All reported CER/WER/similarity numbers use this suite. |
| `turkish-v1.jsonl` | 39 | Earlier suite used for the FastPitch baseline failure analysis. `ack-002` collides with two Common Voice sentences; neither was in any training manifest. |
| `turkish-pronunciation-v1.jsonl` | 39 | Pronunciation stress set (foreign names, abbreviations, numerals). |
Fields: `id`, `category`, `text`. Prompts were deduplicated against every training manifest.
### `manifests/` — public-corpus filter manifests
Reproduce exactly which upstream clips passed our gates. Audio is **not** re-hosted; obtain it from
Mozilla Common Voice 26.0 (Turkish) and Google FLEURS (`tr_tr`) under their own terms.

| File | Records | Meaning |
|---|---:|---|
| `common-voice-26.0-tr-filtered.train.jsonl` | 101,622 | Accepted clips, speaker-disjoint train split (110.2 h) |
| `common-voice-26.0-tr-filtered.validation.jsonl` | 5,014 | Accepted, validation split (5.1 h) |
| `common-voice-26.0-tr-filtered.test.jsonl` | 4,824 | Accepted, test split (5.1 h) |
| `common-voice-26.0-tr-filtered.rejected.jsonl` | 8,947 | Rejected clips with `quality_filter_reasons` |
| `common-voice-26.0-tr-filtered.report.json` | — | Aggregate counts and rejection reasons |
| `fleurs-tr.jsonl` | 3,607 | FLEURS Turkish clips (dataset revision `70bb2e84…`) |

Per record: `clip_id`, `source_file` (upstream file name, e.g. `common_voice_tr_29908728.mp3`),
`transcript`, `normalized_transcript`, `duration_seconds`, `sample_rate_hz`, `sha256` of the
upstream audio file, acoustic QA (`common_voice_acoustics`: peak, RMS dBFS, clipping ratio, active
frame ratio, estimated SNR), split, license id, attribution.

**Removed on purpose:** speaker identifiers, age, gender, vote counts, and local paths. The
Mozilla Data Collective terms ask users not to attempt speaker identification; these manifests
add no capability beyond the upstream dataset. The foundation model's training subset
(59,593 Common Voice + 1,876 FLEURS clips, 67.55 h) was drawn from the accepted train split with
per-speaker caps applied on upstream `client_id`; the cap procedure is in the code repository
(`src/turkish_tts/common_voice_prepare.py`).

### `listening/` — native-listener CMOS protocol and results

`cmos-protocol.md` (≥3-listener protocol as designed), `cmos-v1-instructions.md` (Turkish listener
sheet), `cmos-v1-trials.csv` (30 trials: 15 A/B gated-vs-plain, 12 anchored synth-vs-real, 3 catch),
`cmos-v1-key.json` (which system was A/B), `cmos-v1-results-listener-1.csv` (the only completed
session: one native listener, the project owner), `cmos-v1-results.md` (analysis: pooled CMOS
−0.667 ± 0.653; anchored −1.833 ± 0.757; same-person 0/12). The trial audio is not included because
half of the anchored pairs are real recordings of the voice actor.

### `selection/` — best-of-N selector inputs

`inference-recipe.json` (champion sampling recipe), `prosody-presets.json` (six style targets),
`timbre-profile.json` (level-normalized 11-band spectrum mean/std of 13 real recordings),
`envelope-stats.json` (F0/energy/rate statistics). These are aggregate statistics; they do not
contain audio.

## Licenses

Prompt suites, protocol documents, presets, and statistics: CC-BY-4.0 (attribution: the Antalia
authors). Manifests describe third-party data: Common Voice clips are CC0-1.0 under the Mozilla
Data Collective terms; FLEURS is CC-BY-4.0 (Google). The manifests themselves are released
CC-BY-4.0.

## Citation

```bibtex
@misc{antalia1_2026,
  title  = {Antalia 1: An Open Turkish Text-to-Speech Model from a Rights-Clean Pipeline},
  author = {Saygili, Sezgin and Kaplaner, Emre and Ozgul, Oncel and Koktas, Fikri San},
  year   = {2026},
  note   = {Technical report},
  url    = {https://huggingface.co/datasets/cloud0day3/antalia-eval}
}
```

Contact: sezgin@patientdesk.ai

	---
	language:
	- tr
	license: cc-by-4.0
	pretty_name: Antalia evaluation suites and training-data manifests
	task_categories:
	- text-to-speech
	tags:
	- turkish
	- tts
	- evaluation
	- manifests
	size_categories:
	- 100K<n<1M
	configs:
	- config_name: evaluation
	data_files:
	- split: turkish_v2
	path: evaluation/turkish-v2.jsonl
	- split: turkish_v1
	path: evaluation/turkish-v1.jsonl
	- split: pronunciation_v1
	path: evaluation/turkish-pronunciation-v1.jsonl
	- config_name: common_voice_26_tr_filtered
	data_files:
	- split: train
	path: manifests/common-voice-26.0-tr-filtered.train.jsonl
	- split: validation
	path: manifests/common-voice-26.0-tr-filtered.validation.jsonl
	- split: test
	path: manifests/common-voice-26.0-tr-filtered.test.jsonl
	- split: rejected
	path: manifests/common-voice-26.0-tr-filtered.rejected.jsonl
	- config_name: fleurs_tr
	data_files:
	- split: all
	path: manifests/fleurs-tr.jsonl
	---

	# Antalia evaluation suites and training-data manifests

	Companion data for [Antalia 1](https://huggingface.co/cloud0day3/antalia-1) and
	[Antalia 1 Foundation](https://huggingface.co/cloud0day3/antalia-1-foundation), an open Turkish
	text-to-speech release whose development is discontinued. No audio is included. The repository
	contains the prompt suites we report numbers on, the manifests that reproduce our public-corpus
	filtering, the native-listening (CMOS) protocol with its raw single-listener results, and the
	aggregate statistics used by the best-of-N selector.

	The speaker's own recordings are published separately as
	[antalia-voice-corpus](https://huggingface.co/datasets/cloud0day3/antalia-voice-corpus) (5.008 h, CC-BY-4.0).

	Code: https://github.com/0daycloud/antalia · Paper: https://github.com/0daycloud/antalia/blob/main/paper/main.pdf

	## Contents

	### `evaluation/` — prompt suites (CC-BY-4.0, written by the authors)

	\| File \| Prompts \| Notes \|
	\|---\|---:\|---\|
	\| `turkish-v2.jsonl` \| 120 \| 10 categories × 12: general, voice_agent, names_places, numeric, foreign_abbreviations, adversarial_normalization, questions_confirmations, acknowledgement, emotional_style, long_form. All reported CER/WER/similarity numbers use this suite. \|
	\| `turkish-v1.jsonl` \| 39 \| Earlier suite used for the FastPitch baseline failure analysis. `ack-002` collides with two Common Voice sentences; neither was in any training manifest. \|
	\| `turkish-pronunciation-v1.jsonl` \| 39 \| Pronunciation stress set (foreign names, abbreviations, numerals). \|

	Fields: `id`, `category`, `text`. Prompts were deduplicated against every training manifest.

	### `manifests/` — public-corpus filter manifests

	Reproduce exactly which upstream clips passed our gates. Audio is not re-hosted; obtain it from
	Mozilla Common Voice 26.0 (Turkish) and Google FLEURS (`tr_tr`) under their own terms.

	\| File \| Records \| Meaning \|
	\|---\|---:\|---\|
	\| `common-voice-26.0-tr-filtered.train.jsonl` \| 101,622 \| Accepted clips, speaker-disjoint train split (110.2 h) \|
	\| `common-voice-26.0-tr-filtered.validation.jsonl` \| 5,014 \| Accepted, validation split (5.1 h) \|
	\| `common-voice-26.0-tr-filtered.test.jsonl` \| 4,824 \| Accepted, test split (5.1 h) \|
	\| `common-voice-26.0-tr-filtered.rejected.jsonl` \| 8,947 \| Rejected clips with `quality_filter_reasons` \|
	\| `common-voice-26.0-tr-filtered.report.json` \| — \| Aggregate counts and rejection reasons \|
	\| `fleurs-tr.jsonl` \| 3,607 \| FLEURS Turkish clips (dataset revision `70bb2e84…`) \|

	Per record: `clip_id`, `source_file` (upstream file name, e.g. `common_voice_tr_29908728.mp3`),
	`transcript`, `normalized_transcript`, `duration_seconds`, `sample_rate_hz`, `sha256` of the
	upstream audio file, acoustic QA (`common_voice_acoustics`: peak, RMS dBFS, clipping ratio, active
	frame ratio, estimated SNR), split, license id, attribution.

	Removed on purpose: speaker identifiers, age, gender, vote counts, and local paths. The
	Mozilla Data Collective terms ask users not to attempt speaker identification; these manifests
	add no capability beyond the upstream dataset. The foundation model's training subset
	(59,593 Common Voice + 1,876 FLEURS clips, 67.55 h) was drawn from the accepted train split with
	per-speaker caps applied on upstream `client_id`; the cap procedure is in the code repository
	(`src/turkish_tts/common_voice_prepare.py`).

	### `listening/` — native-listener CMOS protocol and results

	`cmos-protocol.md` (≥3-listener protocol as designed), `cmos-v1-instructions.md` (Turkish listener
	sheet), `cmos-v1-trials.csv` (30 trials: 15 A/B gated-vs-plain, 12 anchored synth-vs-real, 3 catch),
	`cmos-v1-key.json` (which system was A/B), `cmos-v1-results-listener-1.csv` (the only completed
	session: one native listener, the project owner), `cmos-v1-results.md` (analysis: pooled CMOS
	−0.667 ± 0.653; anchored −1.833 ± 0.757; same-person 0/12). The trial audio is not included because
	half of the anchored pairs are real recordings of the voice actor.

	### `selection/` — best-of-N selector inputs

	`inference-recipe.json` (champion sampling recipe), `prosody-presets.json` (six style targets),
	`timbre-profile.json` (level-normalized 11-band spectrum mean/std of 13 real recordings),
	`envelope-stats.json` (F0/energy/rate statistics). These are aggregate statistics; they do not
	contain audio.

	## Licenses

	Prompt suites, protocol documents, presets, and statistics: CC-BY-4.0 (attribution: the Antalia
	authors). Manifests describe third-party data: Common Voice clips are CC0-1.0 under the Mozilla
	Data Collective terms; FLEURS is CC-BY-4.0 (Google). The manifests themselves are released
	CC-BY-4.0.

	## Citation

	```bibtex
	@misc{antalia1_2026,
	title = {Antalia 1: An Open Turkish Text-to-Speech Model from a Rights-Clean Pipeline},
	author = {Saygili, Sezgin and Kaplaner, Emre and Ozgul, Oncel and Koktas, Fikri San},
	year = {2026},
	note = {Technical report},
	url = {https://huggingface.co/datasets/cloud0day3/antalia-eval}
	}
	```

	Contact: sezgin@patientdesk.ai