| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - automatic-speech-recognition |
| language: |
| - fr |
| size_categories: |
| - 10K<n<100K |
| pretty_name: ATTHack French — test split |
| tags: |
| - atthack |
| - french |
| - asr |
| - speech |
| - expressive-speech |
| - acted-speech |
| annotations_creators: |
| - expert-generated |
| source_datasets: |
| - extended|atthack |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: speaker_id |
| dtype: string |
| - name: axis |
| dtype: string |
| - name: sentence_id |
| dtype: string |
| - name: version |
| dtype: string |
| - name: transcript |
| dtype: string |
| - name: duration_sec |
| dtype: float32 |
| - name: audio |
| dtype: audio |
| splits: |
| - name: test |
| num_examples: 36634 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-*.parquet |
| --- |
| |
| # ATTHack — French test split |
|
|
| Split test du corpus **ATTHack** (IRCAM / OpenSLR 88) — corpus expressif |
| français, parole actée multi-axes (émotions, attitudes). Empaqueté en |
| Parquet shardé avec audio **FLAC 16 kHz mono** (resamplé depuis le 44.1 kHz |
| original pour cohérence avec Whisper / Canary). |
|
|
| ## Contenu |
|
|
| - **36634** utterances |
| - Audio : **FLAC 16 kHz mono PCM_16** (resamplé depuis 44.1 kHz upstream) |
| - Langue : **français (fr)** |
| - Licence : **CC-BY-NC-SA-4.0** (héritée de ATTHack / OpenSLR 88) |
| - Durée totale : **27.12 h** |
| |
| ## Colonnes |
| |
| | Colonne | Type | Description | |
| |---------|------|-------------| |
| | `audio` | Audio | dict `{path, array, sampling_rate}` — décodé auto | |
| | `id` | string | ID complet : `{speaker}_{axis}_{sentence}_{version}` | |
| | `speaker_id` | string | locuteur (ex `F01`, `M03`) | |
| | `axis` | string | axe expressif (ex `a1`, `a2`, …) | |
| | `sentence_id` | string | ID phrase (ex `s001`) | |
| | `version` | string | version d'enregistrement (ex `v01`) | |
| | `transcript` | string | transcription FR (référence WER) | |
| | `duration_sec` | float32 | durée en secondes | |
| |
| ## Utilisation |
| |
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("ggfox00000/stt-atthack-test", split="test") |
| print(ds) |
| print(ds[0]["transcript"], ds[0]["speaker_id"], ds[0]["axis"]) |
| print(ds[0]["audio"]["sampling_rate"], ds[0]["audio"]["array"].shape) |
| ``` |
| |
| ## Source |
| |
| - ATTHack — IRCAM, https://www.openslr.org/88/ |
| - Corpus expressif français acted speech, multi-locuteurs / multi-attitudes |
| |
| ## Licence |
| |
| **CC-BY-NC-SA-4.0** (héritée de ATTHack upstream / OpenSLR 88) — usage non |
| commercial, partage à l'identique. |
|
|
| ## Note format |
|
|
| Audio downsamplé 44.1 kHz → 16 kHz mono via `soxr.resample` (qualité HQ) |
| pour homogénéiser avec FLEURS / MLS / MediaSpeech (tous 16 kHz mono Whisper- |
| compatible). Les transcriptions et IDs sont préservés tels quels. |
|
|
