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 and 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 (5.008 h, CC-BY-4.0).

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

`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

@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

Antalia evaluation suites and training-data manifests

Contents

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

manifests/ — public-corpus filter manifests

listening/ — native-listener CMOS protocol and results

selection/ — best-of-N selector inputs