Datasets:
| license: cc-by-4.0 | |
| language: | |
| - en | |
| - fr | |
| pretty_name: skycmd commands (MASSIVE intents, en + fr) | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - skycmd | |
| - typed-decisions | |
| - system-one | |
| configs: | |
| - config_name: massive | |
| data_files: data/massive.parquet | |
| # skycmd commands (MASSIVE intents, en + fr) | |
| MASSIVE intents in English and French as command records (`{src, lang, user, intent, split}`), official splits. | |
| Part of [skycmd](https://github.com/maxgfr/skycmd), tiny decision models trained from scratch in Rust that run in the | |
| browser. Written by `sky-data fetch-commands` at commit [`6cbcce8c`](https://github.com/maxgfr/skycmd/commit/6cbcce8cbbbf27e8e952e61b6cb1ed03ee1fca58). | |
| Licences of every set: [DATA_LICENSES.md](https://github.com/maxgfr/skycmd/blob/main/DATA_LICENSES.md). | |
| ## Source and licence | |
| MASSIVE (FitzGerald et al., 2022), CC-BY-4.0, via mteb/amazon_massive_intent. The conversion is ours. | |
| ## Files | |
| | file | rows | | |
| |---|---:| | |
| | `data/massive.parquet` | 32,341 | | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("maxgfr/skycmd-commands", "massive") | |
| ``` | |
| skycmd wrote no row with a language model: the targets come from the upstream labels (some upstream | |
| sets carry their own teacher soft labels, see their cards), the games' oracles or our generators. | |