Datasets:
File size: 1,992 Bytes
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license: cc-by-4.0
language:
- en
- fr
pretty_name: skycmd zero-shot intent sets
task_categories:
- text-classification
tags:
- skycmd
- typed-decisions
- system-one
configs:
- config_name: zs_banking77
data_files: data/zs_banking77.parquet
- config_name: zs_massive_en
data_files: data/zs_massive_en.parquet
- config_name: zs_massive_fr
data_files: data/zs_massive_fr.parquet
---
# skycmd zero-shot intent sets
The zero-shot test sets of the s4 and s6 models: MASSIVE intents in English (2,000) and French (1,000) and Banking77 (2,000) as typed choice questions over intents.
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 s4-corpus --only-heldout` 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).
Each row is one typed decision question (docs/SPEC.md):
| field | type | meaning |
|---|---|---|
| `src` | string | source |
| `t` | string | `choice`, `score` or `noul` |
| `ins` | string | the question |
| `opts` | list of strings | the options, rendered as text |
| `state` | string | the state the question is about |
| `target` | list of floats | a probability per option (soft or one-hot) |
| `split` | string | `train`, `val` or `test` |
## Source and licence
MASSIVE (CC-BY-4.0) and PolyAI/banking77 (CC-BY-4.0). The conversion is ours.
## Files
| file | rows |
|---|---:|
| `data/zs_banking77.parquet` | 2,000 |
| `data/zs_massive_en.parquet` | 2,000 |
| `data/zs_massive_fr.parquet` | 1,000 |
```python
from datasets import load_dataset
ds = load_dataset("maxgfr/skycmd-zero-shot", "zs_banking77")
```
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.
|