gspc-normalized / README.md
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---
license: mit
tags:
- csoai
- gspc
- governance
- safety
- evaluation
- benchmark
---
# csoai/gspc-normalized
Unified schema for the csoai `gspc-*` governance/safety evaluation corpus.
## Schema
Every row has exactly these fields (one unified schema for all sources):
| field | type | description |
|---|---|---|
| `source` | string | Original HF dataset id (`csoai/gspc-*`) |
| `axis` | string | Short axis id (`gov`, `prv`, `asi`, ...) |
| `category` | string | Original dataset's category/axis label (may be empty if source had none) |
| `anchor` | string | Original dataset's anchor/note/source/why field (may be empty) |
| `prompt` | string | The question/scenario text (the input to the model) |
| `expected` | string | The expected answer — string-scalar for classification, ` || `-joined for multi-label |
| `expected_is_list` | bool | True if original gold was a list (multi-label source) |
| `raw_keys` | string | JSON dump of the original row's field names (debug aid) |
## Sources mapped
The underlying `csoai/gspc-*` datasets used six different field-name conventions for the prompt and gold fields. This dataset unifies them.
| Source | axis | rows |
|---|---|---|
| `csoai/gspc-agi` | agi | 36 |
| `csoai/gspc-art5` | art5 | 36 |
| `csoai/gspc-asi` | asi | 33 |
| `csoai/gspc-det` | det | 6 |
| `csoai/gspc-gov` | gov | 237 |
| `csoai/gspc-mach` | mach | 33 |
| `csoai/gspc-mcp` | mcp | 35 |
| `csoai/gspc-oss` | oss | 32 |
| `csoai/gspc-prv` | prv | 32 |
| `csoai/gspc-swarm` | swarm | 6 |
| `csoai/gspc-xr` | xr | 32 |
## Skipped
- **`csoai/gspc-care`** — intentionally excluded. Its rows have only metadata (`battery`, `timestamp`, `v2`) with no prompt field. Including it would require a manual annotation pass to add prompts. The source dataset itself remains untouched on HF.
## Provenance
Built 2026-08-08 by `gspc_normalize.py` after an external benchmark spray revealed the schema drift across the corpus. The unifying schema makes the gspc-* corpus usable by downstream benchmark runners, fine-tuners, and eval harnesses without per-dataset field-mapping code.
## License
MIT. Original datasets were MIT per the csoai org convention.