| --- |
| license: mit |
| tags: |
| - csoai |
| - gspc |
| - governance |
| - safety |
| - evaluation |
| - benchmark |
| --- |
| |
| # csoai/gspc-normalized |
|
|
| Unified schema for the csoai `gspc-*` governance/safety evaluation corpus. |
|
|
| ## Schema |
|
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| 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 |
|
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| 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 |
|
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| - **`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. |
|
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| ## Provenance |
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| 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. |
|
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| ## License |
|
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| MIT. Original datasets were MIT per the csoai org convention. |
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|