skycmd 6cbcce8c: skycmd commands (MASSIVE intents, en + fr)

MANIFEST.json

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+{
+  "commit": "6cbcce8cbbbf27e8e952e61b6cb1ed03ee1fca58",
+  "source_files": {
+    "massive.jsonl": {
+      "sha256": "7dd62207bbe3fcee61b304297eb6c8db6709548ffb7d60886cc21f9253920941",
+      "rows": 32341
+    }
+  }
+}

README.md

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+---
+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.

data/massive.parquet

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+size 636278