sha256(fleurs:<locale>:<id>)), clean + simulated-telephone versions.
Kept strictly separate from synthetic scores.Entity types: person_name, phone, email, calendar_value, postal_address, reference_code. Every case has exactly one final target value; correction cases additionally record the superseded previous mention.
85e237c12c027371202489a0ec509ded67b5e4b5), predefined voices serena and
dylan, fp32 on a GTX 1080, sdpa attention. Masters are frozen at 24 kHz;
clean is the peak-normalized 16 kHz PCM16 derivation; telephone passes the
documented simulated channel (Butterworth-6 300 to 3400 Hz → 8 kHz → seeded
Gaussian noise at 20 dB active-speech SNR → G.711 A-law round trip).Per scenario: written text, exact synthesis text, canonical value, accepted variants, mention text, difficulty tags, template family, split, seed, plus per-audio provenance (synthesis and transform records with hashes).
automated-QA/provisional, not verified.dev exists to freeze extractors and policies; test is the reporting split.
Public availability of test references may contaminate future ASR models.
Under ext/<suite>/ (gold, manifests, provenance) with their own reports:
codeswitch: 56 DE/FR scenarios with English separators/digits, NATO
spelling in German and non-DE/FR names.multiturn: 48 DE/FR two-turn cases (correction, confirmation, repeat);
scored on the agent's persisted final state.voices: the 120 core test scenarios re-voiced by two more Qwen3-TTS voices.piper: the 120 core test scenarios synthesized by a second TTS family
(Piper; French voice trained on CC BY 4.0 SIWIS data, attribution required).es: 90 Spanish scenarios with the core entity types and difficulty mix.All are synthetic, with the simulated telephone channel and automated QA only.
Synthetic audio (Qwen3-TTS and Piper) is published by the project owner's recorded decision: Apache-2.0 at the pinned model revision with no usage or output terms found, predefined voices only, invented values; Piper voice data CC0 (thorsten) and CC BY 4.0 (SIWIS, attribution below). This is not a legal opinion. Rights or takedown requests: open an issue at https://github.com/Gjusev/voxentity-eu/issues; affected files are removed and the removal is recorded in the changelog.
Automated synthesis-failure alert (not a listening review): 7 of 180 clean core
clips have both ASR systems far from both the written and the spoken text
(scripts/tts_alert.py); they remain in the scored set.
See DATA_LICENSE.md and THIRD_PARTY_NOTICES.md: annotations CC-BY-4.0; synthetic audio published by owner decision (section above); FLEURS audio CC-BY-4.0 with modifications flagged; French Piper audio carries the SIWIS attribution: Yamagishi, J.; Honnet, P.-E.; Garner, P.; Lazaridis, A. (2017). The SIWIS French Speech Synthesis Database. University of Edinburgh, CSTR. https://doi.org/10.7488/ds/1705