| --- |
| language: |
| - ca |
| - cs |
| - da |
| - de |
| - el |
| - en |
| - es |
| - eu |
| - fa |
| - fr |
| - gl |
| - hu |
| - it |
| - nl |
| - pl |
| - pt |
| - ro |
| - ru |
| - sv |
| - tr |
| task_categories: |
| - text-classification |
| pretty_name: OpenVoiceOS Localize — Intent Classification Dataset |
| license: apache-2.0 |
| size_categories: |
| - 100K<n<1M |
| tags: |
| - ovos |
| - voice-assistant |
| - intent-classification |
| - nlu |
| - multilingual |
| source_datasets: |
| - OpenVoiceOS/OVOSGitLocalize-Intents |
| --- |
| |
| # OpenVoiceOS Localize — Intent Classification Dataset |
|
|
| Multilingual intent classification corpus exported from |
| [OpenVoiceOS/ovos-localize](https://github.com/OpenVoiceOS/ovos-localize). |
|
|
| Each row is a single expanded utterance labelled with the OVOS skill and |
| intent file that produced it. Templates are fully expanded (bracket |
| alternation resolved); `{slot_name}` placeholders from `.intent` files are |
| kept verbatim so models can learn the slot-carrying pattern. |
|
|
| ## Schema |
|
|
| | Column | Description | |
| |----------|-------------| |
| | `lang` | BCP-47 locale code (`en-US`, `pt-PT`, …) | |
| | `domain` | OVOS skill id (`ovos-skill-hello-world`, …) | |
| | `intent` | Source filename (`HelloWorldKeyword.voc`, `HowAreYou.intent`, …) | |
| | `sentence` | Expanded, cleaned utterance text | |
|
|
| ## Languages |
|
|
| - `ca-ES` |
| - `cs-CZ` |
| - `da-DK` |
| - `de-DE` |
| - `el-GR` |
| - `en-US` |
| - `es-ES` |
| - `eu-ES` |
| - `fa-IR` |
| - `fr-FR` |
| - `gl-ES` |
| - `hu-HU` |
| - `it-IT` |
| - `nl-NL` |
| - `pl-PL` |
| - `pt-BR` |
| - `pt-PT` |
| - `ro-RO` |
| - `ru-RU` |
| - `sv-FI` |
| - `sv-SE` |
| - `tr-TR` |
|
|
| ## Data source |
|
|
| Generated daily by the |
| [ovos-localize](https://github.com/OpenVoiceOS/ovos-localize) data pipeline |
| from live OVOS skill repositories. |
|
|
| ## Collection |
|
|
| Part of the |
| [OpenVoiceOS intent-classification-datasets](https://huggingface.co/collections/OpenVoiceOS/intent-classification-datasets) |
| collection. |
|
|
